J Stroke Search

CLOSE


J Stroke > Volume 26(3); 2024 > Article
Koh, Lim, Tan, Sia, Poh, Sharma, Yeo, Ho, Wu, Kong, and Tan: Ethnic Differences in the Safety and Efficacy of Tenecteplase Versus Alteplase for Acute Ischemic Stroke: A Systematic Review and Meta-Analysis

Abstract

Background and Purpose

Tenecteplase is a thrombolytic agent with pharmacological advantages over alteplase and has been shown to be noninferior to alteplase for acute ischemic stroke in randomized trials. However, evidence pertaining to the safety and efficacy of tenecteplase in patients from different ethnic groups is lacking. The aim of this systematic review and metaanalysis was to investigate ethnicity-specific differences in the safety and efficacy of tenecteplase versus alteplase in patients with acute ischemic stroke.

Methods

Following an International Prospective Register of Systematic Reviews (PROSPERO)- registered protocol (CRD42023475038), three authors conducted a systematic review of the PubMed/MEDLINE, Embase, Cochrane Library, and CINAHL databases for articles comparing the use of tenecteplase with any thrombolytic agent in patients with acute ischemic stroke up to November 20, 2023. The certainty of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework. Two independent authors extracted data onto a standardized data collection sheet. A pairwise meta-analysis was conducted in risk ratios (RR).

Results

From 34 studies (59,601 participants), the rate of complete recanalization was significantly higher (P<0.01) in Asian (RR: 1.91, 95% confidence interval [CI]: 1.30 to 2.80) versus Caucasian patients (RR: 0.99, 95% CI: 0.87 to 1.14). However, Asian patients (RR: 1.18, 95% CI: 0.87 to 1.62) had significantly higher (P=0.01) rates of mortality compared with Caucasian patients (RR: 1.10, 95% CI: 1.00 to 1.22). Caucasian patients were also more likely to attain a modified Rankin Scale (mRS) score of 0 to 2 at follow-up (RR: 1.14, 95% CI, 1.10 to 1.19) compared with Asian (RR: 1.00, 95% CI, 0.95 to 1.05) patients. There was no significant difference in the rate of symptomatic intracranial hemorrhage (P=0.20) and any intracranial hemorrhage (P=0.83) between Asian and Caucasian patients.

Conclusion

Tenecteplase was associated with significantly higher rates of complete recanalization in Asian patients compared with Caucasian patients. However, tenecteplase was associated with higher rates of mortality and lower rates of mRS 0 to 2 in Asian patients compared with Caucasian patients. It may be beneficial to study the variations in response to tenecteplase among patients of different ethnic groups in large prospective cohort studies.

Introduction

Thrombolysis using intravenous alteplase (ALT) is the mainstay of acute ischemic stroke treatment. However, ALT has pragmatic limitations with a short half-life (3.5 minutes) and requires a 60-minute-long infusion following bolus administration. These limitations spurred development of tenecteplase (TNK), a mutant recombinant tissue-type plasminogen activator with a considerably longer half-life of 22 minutes and which can be delivered in a single bolus, providing a significant pragmatic advantage over ALT. Several randomized clinical trials have demonstrated noninferiority of TNK in the 0.25 mg/kg dose when compared with standard dose ALT (0.9 mg/kg) with respect to functional outcomes. However, a higher risk of symptomatic intracranial hemorrhage (sICH) was associated with a higher dose (0.4 mg/kg) TNK [1-5]. It is not known whether the risks of complications (including sICH, mortality, and other short-term adverse effects) differ between TNK and ALT, and more importantly, whether the rates of complications differ between patients of different ethnic backgrounds.
Rates of early neurological improvement following TNK thrombolysis are similar between Caucasian and Asian patients, at 64% and 62%, respectively [6,7]. Among studies conducted in Asian cohorts, the reported rates of sICH following TNK administration range from 2% to 9%, compared with between 2% to 3% in Caucasian patients [8-10]. Notably, there have also been fewer published studies pertaining to TNK use in Asian cohorts compared with Caucasian cohorts, however to date, no single clinical study has performed a head-to-head comparison of the efficacy and safety of TNK compared with ALT among patients of different ethnic groups.
Therefore, the objectives of this systematic review and meta-analysis were to determine whether (1) the efficacy, in terms of the modified Rankin Scale (mRS) score, early neurological improvement, and complete recanalization; and (2) the risks of sICH, any intracranial hemorrhage (ICH), mortality, and parenchymal hemorrhage differ between TNK and ALT.

Methods

Data sources and searches

The pre-specified protocol for this review was registered on International Prospective Register of Systematic Reviews (PROSPERO, CRD42023475038). With reference to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines (Appendix), a search was conducted on MEDLINE/PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases for studies published from inception to November 20, 2023. The search strategy used a combination of the following search terms: (tenecteplase or TNK or thrombolysis) AND (acute ischemic stroke). The full search strategy is included in Supplementary Methods. The reference lists of systematic reviews and included articles and the gray literature were also screened manually to identify additional studies for a comprehensive search.

Study selection

Three blinded reviewers (J.H.K., L.T.P.T., and C.Y.J.L.) independently screened abstracts to check the eligibility for inclusion, with disputes being resolved by consensus from a fourth independent reviewer (B.Y.Q.T). The inclusion criteria were (1) randomized controlled trials that compared the use of tenecteplase with recombinant tissue plasminogen activator (rTPA), in patients with acute ischemic stroke, (2) full-text studies, (3) published in a peer-reviewed journal, and (4) written in English.
The exclusion criteria were (1) animal studies, (2) cadaver studies, (3) case reports and case series, (4) in vitro studies, and (5) reviews. Case reports were defined as any clinical study that had a sample size of only one patient. Case series were defined as any noncomparative clinical study that enrolled three or more patients.

Data extraction

Data from the included articles were extracted by two blinded, independent reviewers (C.Y.J.L. and L.T.P.T.) in duplicate onto a structured pro forma specifically designed for the study and piloted beforehand on a sample of selected studies. Disagreement was resolved by discussion and consensus with a third reviewer (J.H.K.). The data extraction sheet contained key characteristics of studies, according to the Population, Intervention, Comparison, Outcome, Study (PICOS) type framework [11,12]. Relevant study characteristics were extracted on the data extraction spreadsheet, including but not limited to geographical region; sample size for both intervention and control groups; inclusion and exclusion criteria; baseline characteristics of participants such as mean age, gender, ethnicity, mean body mass index, and comorbidities such as diabetes, hyperlipidemia, hypertension; and treatment with antiplatelet or anticoagulation. Relevant outcome data include, but are not limited to, the number of patients with an mRS score of 0 to 2 at final follow-up, the number of patients with an mRS score of 0 to 1 at final follow-up, and the number of patients with complete recanalization, mortality, sICH, early neurological improvement, any ICH, and parenchymal hemorrhage.

Quality assessment and publication bias

The quality assessment of the included studies was assessed by two blinded, independent reviewers (C.Y.J.L. and L.T.P.T.). Quality assessment of randomized controlled trials was done with the Risk of Bias 2 (RoB 2) tool developed by the Cochrane Collaboration [13]. The RoB 2 tool assesses studies on the following five domains: randomization, deviations from intended intervention, missing outcome data, measurement of the outcome, and selection of the reported result. Each domain and the overall study are rated as either low, some concerns, or high risk of bias. Quality assessment of non-randomized studies was done with the Risk of Bias in Non-Randomized Studies of Interventions (ROBINS-I) tool developed by the Cochrane Collaboration [14]. Each domain and the overall study are rated as either low, some concerns, or high risk of bias.
Publication bias was assessed through visual inspection of the funnel plots. The asymmetry of funnel plots was further assessed using Egger’s linear regression method and Begg’s test, with missing studies imputed using the trim-and-fill method [15,16]. Leave-out-one influence analyses were performed to examine the influence of individual studies on the overall findings. Cumulative meta-analyses were performed ranked by year published, to examine the stability of published data over time.

Statistical analysis

All analyses were conducted in R (Version 4.2.2; R Foundation for Statistical Computing, Vienna, Austria) using the meta package [17]. Descriptive statistics were presented as means and standard deviations for continuous variables and counts for categorical variables. When studies reported medians and interquartile ranges, these were converted to means and standard deviations using the published methods of Wan et al. [18]. A standard pairwise meta-analysis in risk ratios (RRs) and 95% confidence intervals (CIs) was conducted using the Mantel-Haenszel method, and the results were displayed in forest plots.
Statistical heterogeneity was assessed via I2 and Cochran Q test values, where an I2 value of 25%, 50%, and 75% represented low, moderate, and high degrees of heterogeneity, respectively [19,20]. A Cochran Q test with a P-value of ≤0.10 was considered significant for heterogeneity. Random effects models were used in all analyses regardless of heterogeneity as published evidence suggests that it provides more robust outcome measures compared to the alternative fixed effects models [21]. When three or more studies were available, 95% prediction intervals (PIs) were computed to estimate the potential range of true effect sizes across individual studies, given that the 95% CI only accounts for the uncertainty of the mean effect size, but not the uncertainty of inter-study variance [22]. Statistical significance was accepted for a P-value of <0.05.
Where 10 or more studies were available for a particular outcome, additional analyses were conducted to evaluate potential sources of heterogeneity between studies [23]. Apart from subgroup analyses, univariate random-effects meta-regression was conducted, and effect moderators were confirmed using permutation testing with 1,000 iterations to eliminate spurious results [24,25]. Statistical significance was considered for outcomes with a P-value of ≤0.05.

Certainty of evidence

The quality of pooled evidence was evaluated using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework [26]. The GRADE framework rates each study on the basis of study design, consistency, directness, risk of bias, precision, and publication bias. For each outcome, the level of evidence was rated as high, moderate, low, or very low.

Data availability

All articles in this manuscript are available from MEDLINE/PubMed, Embase, the Cochrane Library, and CINAHL.

Results

A total of 883 articles were included in the initial search after the removal of duplicates, of which 85 were selected for full text review, and 34 articles met the final inclusion criteria [1-4,6-10,27-51]. The inter-rater reliability as assessed by Cohen’s kappa was 0.98 [52]. Figure 1 shows the PRISMA flow diagram which summarizes the study selection process.

Study characteristics

Of the 34 included studies, the total sample size was 59,601 participants, of which 12,546 received TNK and 47,055 received ALT. The mean age was 56.07±10.03 years and 79.8% of patients were male. Baseline characteristics were largely comparable between patients in the TNK and ALT arms (Table 1). When stratified by ethnicity, the mean age of Asian, Caucasian, and mixed cohorts was 64.7±8.8, 67.7±9.7, and 64.6±7.7 years, respectively. The proportion of males in the Asian, Caucasian, and mixed cohorts was 66.4%, 43.2%, and 65.2%, respectively. Baseline National Institutes of Health Stroke Scale (NIHSS) score, time from stroke onset, and comorbidities were also comparable between ethnicities (Table 2). Tables 3 and 4 summarize the key characteristics of included articles. Nine studies were assessed to be of moderate risk of bias, six studies were assessed to be of high risk of bias, and 19 studies were assessed to be of low risk of bias (Supplementary Figures 1 and 2).

mRS of 0 to 2

The results of the meta-analysis and subgroup analyses are summarized in Table 5. The number of patients with an mRS score of 0 to 2 at final follow-up was reported in 18 studies (15,962 participants) [2,4,6-10,27,28,30,32,35,39,42,45-47,50]. Patients receiving TNK were more likely to attain an mRS score of 0 to 2 compared with ALT at final follow-up (RR: 1.09, 95% CI: 1.05 to 1.12, P<0.01). Caucasian participants were significantly more likely to attain an mRS score of 0 to 2 compared with Asian participants (P<0.01 for subgroup differences). In the Caucasian subgroup, patients who received TNK were significantly more likely to attain an mRS score of 0 to 2 (RR: 1.14, 95% CI: 1.10 to 1.19, I2=48%) compared with those who received ALT. However, there were no significant differences in the Asian subgroup (RR: 1.00, 95% CI: 0.95 to 1.05, I2=58%) (Figure 2). In the subgroup of patients given 0.25 mg/kg of TNK, Caucasian participants were also significantly more likely to attain an mRS score of 0 to 2, compared with Asian participants (P<0.01). When stratified by ethnicity, Caucasian patients who received TNK were significantly more likely to attain an mRS score of 0 to 2 compared with those who received ALT (RR: 1.14, 95% CI: 1.10 to 1.19, I2=46%). However, there were no significant differences in the Asian subgroup (RR: 1.00, 95% CI: 0.95 to 1.06, I2=53%).
Meta-regression found that higher mean age and lower percentage of patients with diabetes mellitus significantly weakened the association between TNK and mRS score of 0 to 2 at final follow-up, accounting for 55.85% and 100% of heterogeneity respectively and leaving low (31.29% and 0.00%) residual heterogeneity respectively. The pooled RR increased by a factor of 0.0155 (95% CI, 0.0009 to 0.0301) per 1-year increase in mean age and decreased by a factor of -1.1221 (95% CI, -2.1716 to -0.0726) per 1% increase in percentage of patients with diabetes mellitus (Supplementary Figure 3). Other characteristics including mean NIHSS score, mean time from stroke onset, percentage of male patients, and percentage of patients with hypertension, hyperlipidemia, large vessel occlusion (LVO), antiplatelet, or anticoagulant treatment were not significant effect moderators (Supplementary Table 1).

mRS Score of 0 to 1

The number of patients with an mRS score of 0 to 1 at final follow-up was reported in 15 studies (15,880 participants) [1-4,6,7,9,10,27,28,31,33,37,41,47]. There was a significantly higher rate of mRS score of 0 to 1 in patients receiving TNK compared with ALT at final follow-up (RR: 1.11, 95% CI: 1.06 to 1.15, P<0.01). However, there were no significant differences in attaining an mRS score of 0 to 1 between Asian and Caucasian participants (P=0.27). Notably, in the Caucasian subgroup, patients who received TNK were significantly more likely to attain an mRS score of 0 to 1 as compared with those received ALT. In the Asian subgroup, there were no significant differences between those who received TNK as compared with ALT. The pooled RR was 1.07 (95% CI: 0.99 to 1.15, I2=0%) in the Asian subgroup and 1.12 (95% CI: 1.07 to 1.18, I2=55%) in the Caucasian subgroup (Figure 3).
In terms of dosage, patients who received 0.25 mg/kg TNK were significantly more likely to attain an mRS score of 0 to 1 as compared with those who received 0.10 mg/kg and 0.40 mg/kg TNK (P=0.02). Among patients receiving 0.25 mg/kg TNK, there was a significantly higher rate of an mRS score of 0 to 1 compared with ALT (RR 1.14, 95% CI: 1.09 to 1.20, I2=21%). No significant differences in the rate of mRS score of 0 to 1 were observed with 0.10 mg/kg (RR 1.10, 95% CI: 0.88 to 1.39, I2=23%) and 0.40 mg/kg (RR 0.99, 95% CI: 0.91 to 1.08, I2=79%) TNK.
In the subgroup of patients given 0.25 mg/kg of TNK, there were no significant differences in attaining an mRS score of 0 to 1 between the Asian and Caucasian subgroups (P=0.11). However, in the Caucasian subgroup, patients who received TNK were significantly more likely to attain an mRS score of 0 to 1 as compared with those who received ALT. In the Asian subgroup, no significant differences were found between TNK and ALT. The pooled RR was 1.08 (95% CI: 1.00 to 1.17, I2=0%) in the Asian subgroup and 1.17 (95% CI: 1.11 to 1.24, I2=27%) in the Caucasian subgroup.

Complete recanalization

The number of patients with complete recanalization at final follow-up was reported in 14 studies (5,416 participants) [1,2,6,8,27-29,32,35,39,41,42,45,50]. There were no significant differences in the number of patients with complete recanalization receiving TNK and ALT at final follow-up (Figure 4). Notably, Asian participants were significantly more likely to attain complete recanalization compared with Caucasian participants (P<0.01). In the Asian subgroup, patients who received TNK were significantly more likely to achieve complete recanalization compared with those who received ALT (RR: 1.91, 95% CI: 1.30 to 2.80, I2=62%). However, there were no significant differences in the Caucasian subgroup (RR: 0.99, 95% CI: 0.87 to 1.14, I2=78%). Patients receiving TNK who had presence of LVO were significantly less likely to achieve complete recanalization, compared to those who did not have LVO (RR 0.90 vs. 1.29, P=0.04). Patients receiving TNK who had a mean baseline NIHSS score of ≥10 were significantly more likely to achieve complete recanalization, compared to patients who had a mean baseline NIHSS score of <10 (RR 0.88 vs. 1.22, P<0.01). In the cohort of patients given 0.25 mg/kg of TNK, there were no significant differences in achieving complete recanalization between Asian and Caucasian subgroups (P=0.49).
Meta-regression found that higher mean age significantly weakened the association between TNK and complete recanalization, accounting for 65.04% and leaving low (42.27%) residual heterogeneity. The pooled RR increased by a factor of 0.0618 (95% CI, 0.0089 to 0.1146) per 1-year increase in mean age (Supplementary Figure 3). Other characteristics including mean NIHSS score, mean time from stroke onset, percentage of male patients, and percentage of patients with hypertension, hyperlipidemia, LVO, antiplatelet, or anticoagulant treatment were not significant effect moderators (Supplementary Table 1).

Mortality

The rate of mortality was reported in 27 studies (57,218 participants) [1-4,6-10,27,28,30-33,37-40,42-44,47-51]. There were no significant differences in the rate of mortality between patients receiving TNK and ALT. Asian participants had a significantly higher rate of mortality compared with Caucasian and mixed ethnicity participants (P=0.01) (Figure 5). Patients who underwent mechanical thrombectomy had a significantly higher rate of mortality with TNK, compared with those who did not undergo mechanical thrombectomy (RR 1.09 vs. 0.92, P=0.03). In the subgroup of patients given 0.25 mg/kg of TNK, Asian participants had a significantly higher rate of mortality compared with Caucasian and mixed ethnicity participants (P=0.03).

Symptomatic intracranial hemorrhage

The number of patients with sICH was reported in 28 studies (20,092 participants) [1-4,6-10,27,28,30-35,37-39,42,44,45,47-51]. sICH was defined using either ECASS II (European Collaborative Acute Stroke Study II) or the SITS-MOST (Safe Implementation of Thrombolysis in Stroke-Monitoring Study) criteria [53,54]. There was no significant difference in the rate of sICH between patients receiving TNK and ALT (RR: 0.84, 95% CI: 0.70 to 1.02, P=0.07). There were also no significant differences in the rate of sICH between TNK and ALT in Asian, Caucasian, and mixed ethnicity participants (P=0.20) (Figure 6). Patients who did not undergo mechanical thrombectomy had significantly lower rates of sICH with TNK compared with patients who did (RR 0.64 vs. 1.01, P=0.02).
Patients who received 0.10 mg/kg TNK had significantly lower rates of sICH as compared with those who received 0.25 mg/kg and 0.40 mg/kg TNK (P=0.03). However, among patients receiving 0.25 mg/kg TNK, there was a significantly lower rate of sICH compared with ALT (RR 0.76, 95% CI: 0.63 to 0.93, I2=11%). No significant differences in the rate of sICH were observed within the 0.10 mg/kg subgroup and 0.40 mg/kg subgroups. In the cohort of patients given 0.25 mg/kg of TNK, there were no significant differences in the rate of sICH between TNK and ALT in Asian, Caucasian, and mixed ethnicity subgroups (P=0.27).

Early neurological improvement

The number of patients with early neurological improvement was reported in 12 studies (3,673 participants) [1,3,4,6,7,28,33,37,39,41,42,50]. There was no significant difference in the rate of early neurological improvement between patients receiving TNK and ALT (RR: 1.05, 95% CI: 0.98 to 1.12, P=0.19). There were also no significant differences in the rate of early neurological improvement between Asian and Caucasian participants (P=0.48) (Supplementary Figure 4).
Patients who received 0.10 mg/kg TNK were significantly more likely to achieve early neurological improvement as compared with those who received 0.25 mg/kg and 0.40 mg/kg TNK (P<0.01). Among patients receiving 0.10 mg/kg TNK, there was a significantly higher rate of early neurological improvement compared with ALT (RR 2.07, 95% CI:1.37 to 3.13, I2=16%). No significant differences in the rate of early neurological improvement were observed with 0.25 mg/kg (RR 1.05, 95% CI: 0.96 to 1.14, I2=58%) and 0.40 mg/kg (RR 0.99, 95% CI: 0.88 to 1.11, I2=74%) TNK.
In the subgroup of patients given 0.25 mg/kg of TNK, there were no significant differences in achieving early neurological improvement between Asian and Caucasian subgroups (P=0.14). There were also no significant differences between TNK and ALT in each of the subgroups. The pooled RR was 1.01 (95% CI: 0.91 to 1.11, I2=59%) in the Asian subgroup and 1.16 (95% CI: 0.99 to 1.37, I2=59%) in the Caucasian subgroup.
Meta-regression found that percentage of patients with LVO significantly weakened the association between TNK and complete recanalization, accounting for 100% of heterogeneity and leaving low (0%) residual heterogeneity. The pooled RR decreased by a factor of -2.3089 (95% CI, -4.3883 to -0.2294) per 1% increase in the number of patients with LVO (Supplementary Figure 3). Other characteristics including mean age, mean NIHSS score, mean time from stroke onset, percentage of male patients, and percentage of patients with hypertension, hyperlipidemia, antiplatelet, or anticoagulant treatment were not significant effect moderators (Supplementary Table 1).

Any intracranial hemorrhage

The number of patients with any ICH was reported in 17 studies (13,245 participants) [1-4,8,9,30,33,34,37,39,40,42,44,45,48,50]. The were no significant differences in the rate of any ICH between patients receiving TNK and ALT (RR: 1.02, 95% CI: 0.91 to 1.15, P=0.69). There were also no significant differences in the rate of any ICH between TNK and ALT in Asian, Caucasian, and mixed ethnicity subgroups (P=0.83) (Supplementary Figure 5). Within the cohort of patients given 0.25 mg/kg of TNK, there were also no significant differences in the rate of sICH between Asian, Caucasian, and mixed ethnicity subgroups (P=0.33).

Parenchymal hemorrhage

The number of patients with parenchymal hemorrhage was reported in 12 studies (5,125 participants). There were no significant differences in the rate of parenchymal hemorrhage between patients receiving TNK and ALT (RR: 0.97, 95% CI: 0.61 to 1.53, P=0.88) (Supplementary Figure 6).

Publication bias

For all outcomes, while visual inspection suggested funnel plot asymmetry, this was not suggested by Egger’s test. Trim-and-fill imputed analyses showed minimal change to the pooled effect size (Supplementary Figure 7). Leave-one-out influence analysis showed that no single study had a drastic change on the pooled RR, and cumulative meta-analysis showed a significant and stable pooled effect size (Supplementary Figure 8).

GRADE quality of evidence

The certainty of evidence for mRS 0 to 2 (moderate), mRS 0 to 1 (moderate), complete recanalization (low), mortality (moderate), early neurological improvement (low), sICH (moderate), any ICH (low), and parenchymal hemorrhage (low) were assessed using the GRADE framework (Supplementary Table 2).

Discussion

In this systematic review and meta-analysis of 34 studies, we demonstrated the efficacy and safety profiles of TNK between Asian and Caucasian cohorts [1-4,6-10,27-51]. The rate of complete recanalization with TNK was significantly higher in Asian cohorts than in Caucasian cohorts. However, Caucasian cohorts had higher rates of mRS score 0 to 2 and mRS 0 to 1 at final follow-up compared with Asian cohorts. Caucasian cohorts also had lower rates of mortality compared with Asian cohorts. No significant differences were found in terms of early neurological improvement, sICH, and any ICH between the Asian and Caucasian cohorts. These findings suggest that TNK may display greater efficacy and safety in Caucasian patients as compared with Asian patients. However, the differences in efficacy and safety in TNK between the two cohorts could be due to there being fewer studies in the Asian cohort. Within the Caucasian and the Asian subgroups, TNK has a similar safety profile as ALT as there were no significant differences in rates of mortality, sICH, and any ICH, but treatment with TNK seems to have greater efficacy in terms of achieving mRS score of 0 to 2 among the Caucasian patients and achieving complete recanalization among Asian patients. To the authors’ knowledge, the present study is the first meta-analysis to compare the ethnic differences in the use of TNK compared with ALT. To date, most large trials of TNK have been conducted among patients of mostly Caucasian ethnicity. Therefore, the findings of this meta-analysis will guide clinicians in the optimal selection of thrombolytic agents for patients with acute ischemic stroke and allow for personalized interventions.
TNK was first developed to have differing pharmacodynamic and pharmacokinetic properties than ALT. While these properties are associated with a theoretically lower risk of systemic bleeding, it is yet unknown how TNK acts within the microenvironment of the human brain. TNK has a longer half-life than ALT, which permits its administration via a single bolus. This helps in overcoming limitations inherent to intravenous infusion, which is both susceptible to under-dosing and poses logistical challenges in transporting patients with ongoing infusions. Theoretically, continuous infusions dictate frequent encounters between the clinician and patient for the purpose of monitoring.
It is notable that TNK displayed higher rates of complete recanalization in Asian cohorts compared with Caucasian cohorts. Within both Asian and Caucasian cohorts, the most used dose of TNK was 0.25 mg/kg, although there were studies within each cohort that used doses of up to 0.4 mg/kg. Both cohorts were also similar in terms of baseline characteristics such as age (68.70 years in Asians vs. 71.24 years in Caucasians). A possible explanation may be that Asian ischemic stroke patients may have a younger onset compared with Caucasian patients; therefore, younger patients with increased functional reserve may be predisposed to improved complete recanalization rates [55]. Both Asian and Caucasian cohorts also utilized similar inclusion criteria. All studies used an accepted time cut-off of 3 to 4.5 hours of symptom onset in determining patients’ eligibility for TNK. Therefore, further research may be useful in determining the genotypical and phenotypical basis for this difference in action of TNK.
In terms of safety, our findings do not suggest any safety concerns with the use of tenecteplase compared with alteplase on the risks of parenchymal hemorrhage. Our meta-analysis also did not demonstrate a higher risk of mortality with TNK compared with ALT thrombolysis. These findings are consistent with published literature, which did not show a higher risk of mortality or parenchymal hemorrhage with TNK thrombolysis compared with ALT [56,57].
We also compared the safety and efficacy between different doses of TNK, namely 0.10 mg/kg, 0.25 mg/kg, and 0.40 mg/kg. It was demonstrated that there were no significant differences in the rate of attaining an mRS score 0 to 2, mortality, any ICH, and parenchymal hemorrhage between the different doses of TNK. However, within the 0.25 mg/kg subgroup, there was a significantly higher rate of attaining an mRS score of 0 to 2 in patients receiving TNK compared with ALT. Within the 0.40 mg/kg subgroup, there is a significantly higher rate of mortality in patients receiving TNK than ALT.
There were significant differences in the rate of complete recanalization, mRS score of 0 to 1, early neurological improvement, and sICH between different doses of TNK. The 0.10 mg/kg dose is associated with significantly higher rates of complete recanalization and early neurological improvement and lower rates of sICH, while 0.25 mg/kg is associated with significantly higher rates of mRS score of 0 to 1, as compared with the two remaining doses. Subgroup analyses found significantly improved rates of complete recanalization and early neurological improvement in patients receiving TNK within the 0.10 mg/kg subgroup, although this could be due to the inclusion of patients who underwent mechanical thrombectomy. Within the 0.25 mg/kg subgroup, there was also a significantly higher rate of mRS score of 0 to 1 and a lower rate of sICH in patients receiving TNK. Therefore, clinicians may consider the use of low doses of TNK for intravenous thrombolysis, to minimize the attendant theoretical risks of higher doses of TNK.
With 0.25 mg/kg being the most widely used dose of TNK, we have also extended our analyses to compare the efficacy and safety of TNK at that dose between Asian, Caucasian, and mixed ethnicity cohorts. Among participants who received 0.25 mg/kg TNK, we found that the Caucasian subgroup had a significantly higher rate of attaining an mRS score of 0 to 2 and that the Asian subgroup had a significantly higher rate of mortality. However, within the Asian subgroup, there were no significant differences in the rate of mortality between patients who received 0.25 mg/kg TNK and those who received ALT of the same dose. These findings therefore suggest that TNK may be more beneficial for Caucasians as compared to Asians.
In our analyses, we attempted to stratify patients by the presence of large vessel occlusion and those who underwent mechanical thrombectomy. Among patients with LVO, the rate of mortality was significantly higher among patients who received TNK compared with ALT. Among patients who underwent mechanical thrombectomy, TNK and ALT had similar rates of sICH. Among patients who did not undergo mechanical thrombectomy, ALT was associated with significantly higher rates of sICH compared to TNK. In the setting of LVO, these findings are similar to a previous meta-analysis of four studies, which found no significant differences in the rate of mRS 0 to 2 between TNK and ALT [58]. However, this meta-analysis did not report pooled rates of mortality between patients receiving TNK and ALT. In terms of patients undergoing mechanical thrombectomy, our findings largely agree with those of previously published trials suggesting that TNK is safe and efficacious when administered before mechanical thrombectomy. Therefore, clinicians may consider the use of TNK to improve clinical outcomes following mechanical thrombectomy. Further studies may be needed to confirm the safety of TNK in patients with LVO.
There were several limitations of this meta-analysis. First, the results should be interpreted within their context, as included trials differed in aspects such as presence of LVO, and presence of endovascular therapy, which may make indirect comparisons less conclusive. We have attempted to account for this in our analyses by performing subgroup analyses stratified by presence of LVO and mechanical thrombectomy. Second, heterogeneity was noted among several outcomes, including complete recanalization. For instance, several studies included patients who received differing doses of TNK. The authors have performed a meta-regression analysis to account for potential sources of heterogeneity and found that mean age sufficiently explained the heterogeneity seen in this outcome. We have also performed a subgroup analysis restricted to doses of 0.25 mg/kg of TNK only, to reduce heterogeneity in the results. Third, subgroup analysis in terms of ethnicity could not be performed for parenchymal hemorrhage. This outcome was only measured in the Caucasian cohort so there was a lack of data from the other ethnic groups. Hence, any differences in the risk of parenchymal hemorrhage between the different ethnic subgroups could not be investigated. Fourth, the trials included in this study may not have been directly comparable. TASTE-A (Tenecteplase Versus Alteplase for Stroke Thrombolysis Evaluation Trial in the Ambulance) trial was designed as a prehospital treatment for Mobile Stroke Units (MSUs), which is a different system of care than the traditional system. The EXTEND-IA (Extending the Time for Thrombolysis in Emergency Neurological Deficits—Intra-Arterial) study included patients with large vessel occlusions who met the criteria for endovascular thrombolysis, while other studies included both patients with and without large vessel occlusions. Therefore, the outcomes could have been influenced by other factors than the drug alone. Furthermore, TRACE (Tenecteplase Reperfusion Therapy in Acute Ischemic Cerebrovascular Events) and TRACE II trials used a TNK drug that was marketed in China, while other studies used the Boehringer TNK original biologics. Hence, biosimilars and biomimics of TNK could also influence the outcomes in patients. Fifth, correction for multiplicity could not be performed in this meta-analysis; therefore, these results, including subgroup analyses, should be interpreted in the given context with caution.

Conclusions

This systematic review and meta-analysis demonstrated that TNK was comparable to ALT in terms of both efficacy, measured by complete recanalization and mRS 0 to 2, and safety profile, measured by mortality, sICH, any ICH, and parenchymal hemorrhage. However, there are ethnic differences in the use of TNK compared with ALT. Among the subgroup of Asian patients, TNK was associated with significantly higher rates of complete recanalization. However, TNK was associated with lower rates of mortality and higher rates of mRS 0 to 1 among Caucasian patients. Future trials investigating the use of TNK may help in further confirming the efficacy and safety of TNK in different ethnicities. It may be beneficial to study the variations in response to TNK among patients of different ethnic groups in large prospective cohort studies. This may facilitate anticipation of potential outcomes and risks specific to each ethnic group when administering TNK. By understanding and addressing these differences, clinicians can optimize treatment outcomes and minimize the potential for adverse effects in patients from various ethnic backgrounds. Nonetheless, differences in baseline characteristics between participants may contribute to confounding of the observed results; therefore, such results should be interpreted with caution. Further well-stratified studies are warranted to confirm if there are indeed differences in outcomes with TNK thrombolysis in different ethnic groups.

Supplementary materials

Supplementary materials related to this article can be found online at https://doi.org/10.5853/jos.2024.01284.
Supplementary Methods
Search strategy
jos-2024-01284-Supplementary-Methods.pdf
Supplementary Table 1.
Results of the meta-regression analysis
jos-2024-01284-Supplementary-Table-1.pdf
Supplementary Table 2.
Evaluation of quality of pooled evidence using the GRADE framework
jos-2024-01284-Supplementary-Table-2.pdf
Supplementary Figure 1.
Quality assessment of included articles (RoB 2).
jos-2024-01284-Supplementary-Fig-1,2.pdf
Supplementary Figure 2.
Quality assessment of included articles (ROBINS-I).
jos-2024-01284-Supplementary-Fig-1,2.pdf
Supplementary Figure 3.
Bubble plots. (A) Association of mRS 0 to 2 with age. (B) Association of mRS 0 to 2 with diabetes status. (C) Association of complete recanalization with age. (D) Association of early neurological improvement with LVO. mRS, modified Rankin Scale; LVO, large vessel occlusion; RR, risk ratio; CI, confidence interval.
jos-2024-01284-Supplementary-Fig-3.pdf
Supplementary Figure 4.
Forest plot for early neurological improvement. RR, risk ratio; CI, confidence interval.
jos-2024-01284-Supplementary-Fig-4.pdf
Supplementary Figure 5.
Forest plot for any ICH. RR, risk ratio; CI, confidence interval; ICH, intracranial hemorrhage.
jos-2024-01284-Supplementary-Fig-5,6.pdf
Supplementary Figure 6.
Forest plot for parenchymal hemorrhage. TNK, tenecteplase; ALT, alteplase; RR, risk ratio; CI, confidence interval.
jos-2024-01284-Supplementary-Fig-5,6.pdf
Supplementary Figure 7.
Funnel plot for analysis of publication bias. mRS, modified Rankin Scale; sICH, symptomatic intracranial hemorrhage; ICH, intracranial hemorrhage.
jos-2024-01284-Supplementary-Fig-7.pdf
Supplementary Figure 8.
Cumulative meta-analyses and leave-one-out influence analyses. mRS, modified Rankin Scale; RR, risk ratio; CI, confidence interval; TNK, tenecteplase; ALT, alteplase.
jos-2024-01284-Supplementary-Fig-8.pdf

Notes

Funding statement
None
Conflicts of interest
Dr Benjamin Yong Qiang Tan was supported by the MOH Healthcare Research Scholarship, National Medical Research Council, Singapore.
The remaing authors have no financial conflicts of interest.
Author contribution
Conceptualization: BYQT, TW, WKFK. Study design: BYQT, TW, WKFK. Methodology: JHK, CYJL, LTPT, TW, WKFK, BYQT. Data collection: JHK, CYJL, LTPT. Investigation: all authors. Statistical analysis: JHK, CYJL, LTPT. Writing—original draft: JHK, LTPT, CYJL. Writing—review & editing: JHK, LTPT, CYJL, CHS, KKP, VKS, LLLY, AFWH, BYQT. Approval of final manuscript: all authors.

Figure 1.
PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) flow diagram for included articles.
jos-2024-01284f1.jpg
Figure 2.
Forest plot for mRS score of 0 to 2 at final follow-up. mRS, modified Rankin Scale; RR, risk ratio; CI, confidence interval.
jos-2024-01284f2.jpg
Figure 3.
Forest plot for mRS score of 0 to 1 at final follow-up. mRS, modified Rankin Scale; RR, risk ratio; CI, confidence interval.
jos-2024-01284f3.jpg
Figure 4.
Forest plot for complete recanalization. RR, risk ratio; CI, confidence interval.
jos-2024-01284f4.jpg
Figure 5.
Forest plot for mortality. RR, risk ratio; CI, confidence interval.
jos-2024-01284f5.jpg
Figure 6.
Forest plot for sICH. RR, risk ratio; CI, confidence interval; sICH, symptomatic intracranial hemorrhage.
jos-2024-01284f6.jpg
Table 1.
Comparison of baseline characteristics between TNK and ALT
Variable TNK (n=12,546) ALT (n=47,055) P*
Baseline NIHSS score 11.47±3.8 11.44±3.1 0.968
Time from stroke onset to treatment (min) 144.2±46.2 136.9±45.5 0.526
Patients with pre-stroke mRS 0 to 2 (%) 96.9 96.1 0.910
Patients with pre-stroke mRS ≥3 (%) 11.9 11.0 0.882
Admission mRS score 2.42±2.15 2.39±2.12 0.981
Large vessel occlusion (%) 33.2 26.6 0.318
Cardioembolic (%) 31.2 33.8 0.647
Small vessel (%) 13.8 18.6 0.147
Others (%) 3.9 4.2 0.838
Undetermined or multifactorial (%) 19.7 20.7 0.848
Values are presented as mean±standard deviation unless otherwise noticed.
TNK, tenecteplase; ALT, alteplase; NIHSS, National Institutes of Health Stroke Scale; mRS, modified Rankin scale.
* Two-sided t-test.
Table 2.
Summary of study characteristics stratified by ethnicity
Asian Caucasian Mixed P
Age (yr) 64.7±8.8 67.7±9.7 64.6±7.7 0.43
Baseline NIHSS score 8.8±5.1 11.3±8.3 9.05±7.8 0.57
Time from stroke onset (min) 187.0±82.8 142.9±66.5 142.8±68.0 0.28
Male sex (%) 66.4 43.2 65.2 0.06
DM (%) 26.4 17.8 37.0 0.76
HTN (%) 65.2 54.6 10.1 0.11
HLD (%) 21.7 25.2 NR 0.27
LVO (%) 7.8 6.7 0.3 0.51
Antiplatelet (%) 0.01 0.04 0.01 0.31
Anticoagulant (%) 0.01 0.01 0.01 0.12
Values are presented as mean±standard deviation unless otherwise noticed.
NIHSS, National Institutes of Health Stroke Scale; DM, diabetes mellitus; HTN, hypertension; HLD, hyperlipidemia; LVO, large vessel occlusion.
Table 3.
Summary of study characteristics
Study Study design Geographical region Cutoff time (hrs) NIHSS cutoff Dose (mg/kg) Sample size
TNK ALT
Bivard et al. [27] RCT Australia 4.5 6 0.25 55 49
Campbell et al. [28] RCT Australia and New Zealand 4.5 NR 0.25 101 101
Chandra et al. [7] PCS India 4.5 5 0.25 42 34
Checkouri et al. [29] RCS France 4.5 NR 0.25 1,078 787
Dhar et al. [30] RCS India 4.5 NR 0.2 57 103
Estella et al. [31] RCS Spain NR NR 0.25 20 80
George et al. [8] RCS India 4.5 ≥4 0.2 61 29
Gerschenfeld et al. [32] RCS France NR NR 0.25 408 387
Haley et al. [33] RCT USA 3 NR 0.1/0.25/0.4 81 31
Hall et al. [34] RCS USA 4.5 NR 0.25 53 60
Hendrix et al. [35] RCS USA 4.5 ≥6 NR 51 97
Huang et al. [1] RCT United Kingdom 4.5 ≥1 0.2 47 49
Kuruttukulam et al. [36] RCS India 4.5 ≥6 0.2 25 8
Kvistad et al. [3] RCT Norway 4.5 ≥6 0.4 91 98
Li et al. [9] PCS China 3 4-25 0.1/0.25/0.32 177 59
Logallo et al. [37] RCT Norway 4.5 NR 0.4 549 551
Mahawish et al. [38] RCS New Zealand NR NR 0.25 283 555
Menon et al. [2] RCT Canada 4.5 NR 0.25 806 771
Mohan et al. [39] RCS India NR NR 0.25 57 103
Murphy et al. [40] RCS USA 4.5 NR 0.25 3,432 3,432
Parsons et al. [6] PCS Australia 3 NR 0.1 15 35
Parsons et al. [41] RCT Australia 0 0 0.1/0.25 100 25
Psychogios et al. [42] PCS Greece 4.5 ≥1 0.25 19 39
Qureshi et al. [43] RCS Global 0 0 0.25 1,163 29,480
Sjögren et al. [44] RCS Sweden NR NR NR 168 191
Sundar et al. [45] RCS India 3 ≥4 0.4 55 65
Teivane et al. [46] RCS Latvia 4.5 ≥1 0.2 45 139
Tsivgoulis et al. [47] PCS Sweden 4.5 NR 0.25 331 797
Walton et al. [48] RCS USA 4.5 NR 0.2 to 0.25 116 222
Wang et al. [4] RCT China 4.5 NR 0.25 710 707
Warach et al. [49] RCS USA NR NR 0.2 to 0.25 1,925 7,313
Warach et al. [10] PCS USA NR NR NR 234 354
Zhao et al. [50] PCS China NR NR 0.2 to 0.25 26 50
Zhong et al. [51] RCS New Zealand 4.5 NR 4 165 254
NIHSS, National Institutes of Health Stroke Scale; TNK, tenecteplase; ALT, alteplase; RCT, randomized controlled trial; PCS, prospective cohort study; RCS, retrospective cohort study; NR, not reported.
Table 4.
Summary of patient characteristics
Study Baseline NIHSS score
Mean age (yr) Male (%) DM (%) HTN (%) HLD (%) LVO (%) Time from stroke onset to treatment (min)
TNK ALT TNK ALT
Bivard et al. [27] 8.0 17.0 72.33 63.64 28.3 43.4 61.6 NR 107.3 63.0
Campbell et al. [28] 17.0 16.9 71.15 54.46 NR NR NR 19.5 127.7 138.0
Chandra et al. [7] 13.4 15.3 69.75 52.33 31.6 NR 78.9 NR 168.8 139.5
Checkouri et al. [29] 15.7 15.0 70.18 49.17 16.7 NR 59.8 NR 150.0 146.7
Dhar et al. [30] 10.5 18.8 58.74 66.67 26.2 NR 71.4 55.9 270.0 271.7
Estella et al. [31] 14.2 8.3 63.25 56.00 28.0 NR 68.0 NR NR NR
George et al. [8] 8.2 7.7 63.95 62.22 40.0 NR 72.2 NR NR NR
Gerschenfeld et al. [32] 8.8 10.3 74.67 52.33 19.9 NR 61.1 44.7 165.2 173.6
Haley et al. [33] 11.7 8.0 69.50 46.77 17.7 54.8 75.8 15.1 NR NR
Hall et al. [34] 11.7 10.3 69.36 56.64 31.9 NR 81.4 49.8 NR NR
Hendrix et al. [35] 11.7 10.3 67.66 63.08 21.6 NR 29.5 NR NR NR
Huang et al. [1] 11.7 12.0 71.00 63.54 14.6 14.6 50.0 NR NR NR
Kuruttukulam et al. [36] 8.7 14.3 60.42 60.00 NR NR NR NR 45.6 57.7
Kvistad et al. [3] 17.0 13.0 70.81 51.85 14.8 34.9 55.0 26.4 122.0 124.7
Li et al. [9] 11.7 16.6 64.43 72.27 17.2 18.5 64.7 NR 184.0 192.0
Logallo et al. [37] 14.8 13.4 71.00 60.00 13.3 11.8 43.8 20.0 180.0 137.8
Mahawish et al. [38] 13.2 8.5 71.87 53.10 NR NR NR NR 103.2 105.0
Menon et al. [2] 8.3 7.3 73.01 52.12 NR NR NR 25.0 NR NR
Mohan et al. [39] 8.3 8.3 55.07 68.02 31.9 NR 26.0 40.6 135.0 119.3
Murphy et al. [40] 8.3 8.5 64.25 61.16 34.9 NR 30.4 NR 136.0 119.3
Parsons et al. [6] 8.3 5.8 70.48 65.63 NR NR NR NR 145.3 119.3
Parsons et al. [41] 5.6 9.7 71.33 33.33 11.0 24.0 41.0 NR 125.7 121.7
Psychogios et al. [42] 9.3 10.3 68.94 43.04 25.8 58.6 68.9 NR 95.3 83.0
Qureshi et al. [43] 11.0 8.7 64.38 67.04 39.0 70.5 4.0 NR 135.7 138.0
Sjögren et al. [44] 9.0 NR 65.70 52.92 NR NR NR NR 178.7 185.0
Sundar et al. [45] NR 14.7 69.38 69.17 43.3 NR 72.5 25.0 NR NR
Teivane et al. [46] 14.7 14.5 71.88 63.18 24.5 NR 21.7 67.4 204.0 138.0
Tsivgoulis et al. [47] 14.0 14.5 69.53 56.00 20.1 NR 53.4 NR NR NR
Walton et al. [48] 14.0 14.6 66.50 64.67 NR NR 27.4 15.7 186.0 162.0
Wang et al. [4] 14.0 18.0 65.63 68.53 26.7 22.6 72.1 NR 180.0 162.0
Warach et al. [49] 15.3 NR 71.15 33.33 NR NR NR NR 166.7 171.7
Warach et al. [10] NR NR 67.20 55.95 29.4 NR 66.0 NR NR NR
Zhao et al. [50] NR NR 71.88 33.33 NR NR NR NR NR NR
Zhong et al. [51] NR 5.7 73.74 58.47 18.4 41.7 66.9 NR NR NR
NIHSS, National Institutes of Health Stroke Scale; TNK, tenecteplase; ALT, alteplase; DM, diabetes mellitus; HTN, hypertension; HLD, hyperlipidemia; LVO, large vessel occlusion; NR, not reported.
Table 5.
Results of the meta-analysis and subgroup analyses
Outcome Studies RR (95% CI) I2 (%) 95% PI P (for subgroup differences)
mRS 0 to 2 18 1.09 (1.05-1.12) 65 0.87-1.34 <0.01
 Ethnicity <0.01
  Asian 8 1.00 (0.95-1.05) 58 0.94-1.06
  Caucasian 10 1.14 (1.10-1.19) 48 0.99-1.35
 Mean NIHSS Score 0.19
  <10 7 1.04 (0.99-1.09) 40 0.91-1.20
  ≥10 10 1.10 (1.03-1.18) 66 0.79-1.89
 LVO 0.16
  Yes 13 1.12 (1.08-1.17) 64 0.85-1.37
  No 5 1.06 (1.00-1.14) 67 0.94-1.15
 Mechanical thrombectomy 0.62
  Yes 12 1.09 (1.05-1.14) 64 0.85-1.34
  No 6 1.07 (1.02-1.14) 72 0.78-1.79
 Dose 0.99
  0.10 mg/kg 2 1.11 (0.90-1.38) 77 NA
  0.25 mg/kg 15 1.11 (1.07-1.15) 65 0.88-1.34 <0.01
   Caucasian 8 1.14 (1.10-1.19) 46 0.99-1.36
   Asian 7 1.00 (0.95-1.06) 53 0.93-1.08
 Study design 0.68
  RCT 5 1.04 (0.95-1.150 45 0.96-1.13
  Observational study 13 1.07 (0.95-1.20) 66 0.83-1.38
mRS 0 to 1 15 1.11 (1.06-1.15) 48 0.92-1.26 <0.01
 Ethnicity 0.27
  Asian 3 1.07 (0.99-1.15) 0 0.94-1.21
  Caucasian 12 1.12 (1.07-1.17) 55 0.87-1.34
 Mean NIHSS Score 0.85
  <10 4 1.05 (0.99-1.11) 0 0.97-1.14
  ≥10 10 1.06 (0.97-1.16) 36 0.96-1.17
 LVO 0.96
  Yes 10 1.11 (1.06-1.16) 58 0.83-1.30
  No 5 1.10 (1.02-1.20) 0 0.97-1.26
 Mechanical thrombectomy 0.80
  Yes 9 1.11 (1.06-1.16) 64 0.83-1.32
  No 6 1.10 (1.01-1.19) 0 0.99-1.21
 Dose 0.02
  0.10 mg/kg 4 1.10 (0.88-1.39) 23 0.65-1.89
  0.25 mg/kg 11 1.14 (1.09-1.20) 21 0.99-1.28 0.11
   Caucasian 8 1.17 (1.11-1.24) 27 0.98-1.33
   Asian 3 1.08 (1.00-1.17) 0 0.64-1.83
  0.40 mg/kg 3 0.99 (0.91-1.08) 79 0.03-23.86
 Study design 0.30
  RCT 9 1.05 (0.99-1.12) 10 0.99-1.12
  Observational study 6 1.12 (0.98-1.29) 43 0.92-1.37
Complete recanalization 14 1.07 (0.94-1.21) 78 0.37-3.93 0.32
 Ethnicity <0.01
  Asian 4 1.91 (1.30-2.80) 62 0.82-4.43
  Caucasian 10 0.99 (0.87-1.14) 78 0.35-4.02
 Mean NIHSS Score <0.01
  <10 5 0.88 (0.74-1.04) 31 0.66-1.16
  ≥10 9 1.22 (1.02-1.45) 84 0.33-5.76
 LVO 0.04
  Yes 9 0.90 (0.77-1.05) 69 0.32-2.58
  No 3 1.29 (0.94-1.76) 82 0.00-2,460.98
 Mechanical thrombectomy 0.29
  Yes 8 0.89 (0.72-1.09) 73 0.24-3.39
  No 4 1.03 (0.86-1.23) 79 0.15-11.28
 Dose <0.01
  0.10 mg/kg 2 2.27 (1.41-3.67) 40 NA
  0.25 mg/kg 10 0.89 (0.77-1.03) 65 0.38-2.13 0.49
   Caucasian 7 0.90 (0.78-1.03) 71 0.35-2.39
   Asian 3 0.55 (0.14-2.15) 55 0.00-34.32
 Study design
  RCT
  Observational study
Mortality 27 1.02 (0.94-1.09) 60 0.54-1.70 0.67
 Ethnicity 0.01
  Asian 7 1.18 (0.87-1.62) 21 0.81-1.73
  Caucasian 15 1.10 (1.00-1.22) 68 0.45-2.06
  Mixed 5 0.89 (0.79-1.00) 45 0.60-1.35
 Mean NIHSS Score 0.95
  <10 11 0.91 (0.76-1.08) 35 0.51-1.58
  ≥10 13 0.91 (0.78-1.07) 57 0.39-2.39
 LVO 0.04
  Yes 18 1.09 (0.99-1.20) 66 0.42-1.99
  No 9 0.93 (0.83-1.04) 45 0.65-1.44
 Mechanical thrombectomy 0.03
  Yes 18 1.09 (0.99-1.20) 66 0.45-1.97
  No 9 0.92 (0.82-1.03) 44 0.65-1.40
 Dose 0.05
  0.10 mg/kg 3 0.63 (0.30-1.31) 9 0.01-75.33
  0.25 mg/kg 22 1.00 (0.93-1.08) 65 0.53-1.60 0.03
   Caucasian 11 1.08 (0.98-1.20) 73 0.43-1.89
   Asian 6 1.20 (0.84-1.72) 44 0.72-1.99
   Mixed 5 0.89 (0.79-1.00) 45 0.60-1.35
  0.40 mg/kg 5 1.41 (1.03-1.94) 54 0.70-2.88
 Study design 0.55
  RCT 9 1.02 (0.81-1.29) 32 0.84-1.24
  Observational study 18 0.94 (0.76-1.15) 68 0.49-1.79
sICH 28 0.84 (0.70-1.02) 23 0.48-1.80 0.07
 Ethnicity 0.20
  Asian 8 1.06 (0.71-1.56) 0 0.67-1.68
  Caucasian 16 0.83 (0.66-1.04) 45 0.41-2.66
  Mixed 4 0.53 (0.28-1.01) 0 0.13-2.18
 Mean NIHSS Score 0.15
  <10 12 0.90 (0.67-1.20) 0 0.65-1.25
  ≥10 14 1.25 (0.89-1.76) 0 0.87-1.82
 LVO 0.05
  Yes 20 0.99 (0.77-1.26) 0 0.76-1.28
  No 8 0.69 (0.52-0.90) 42 0.31-2.30
 Mechanical thrombectomy 0.02
  Yes 20 1.01 (0.79-1.28) 0 0.78-1.30
  No 8 0.64 (0.48-0.85) 34 0.49-1.72
 Dose 0.03
  0.10 mg/kg 3 0.66 (0.19-2.32) 20 0.00-28.53
  0.25 mg/kg 22 0.76 (0.63-0.93) 11 0.43-1.51 0.27
   Caucasian 11 0.74 (0.58-0.95) 41 0.35-2.19
   Asian 7 0.97 (0.64-1.47) 0 0.57-1.67
   Mixed 4 0.53 (0.28-1.01) 0 0.13-2.18
  0.40 mg/kg 4 1.71 (0.96-3.06) 0 0.67-4.39
 Study design 0.16
  RCT 9 1.13 (0.82-1.55) 0 0.79-1.61
  Observational study 20 0.84 (0.60-1.17) 22 0.38-1.83
Early neurological improvement 12 1.05 (0.98-1.12) 67 0.65-2.69 0.19
 Ethnicity 0.48
  Asian 4 1.02 (0.92-1.13) 70 0.33-4.50
  Caucasian 8 1.07 (0.98-1.18) 69 0.61-3.04
 Mean NIHSS Score 0.20
  <10 3 1.01 (0.93-1.10) 0 0.58-1.76
  ≥10 9 1.11 (0.99-1.25) 73 0.65-3.62
 LVO 0.75
  Yes 6 1.03 (0.93-1.13) 60 0.65-1.89
  No 6 1.05 (0.95-1.16) 66 0.47-4.27
 Mechanical thrombectomy 0.56
  Yes 6 1.02 (0.92-1.12) 70 0.61-1.84
  No 6 1.06 (0.96-1.17) 67 0.60-3.28
 Dose <0.01
  0.10 mg/kg 3 2.07 (1.37-3.13) 16 0.14-30.10
  0.25 mg/kg 7 1.05 (0.96-1.14) 58 0.69-2.13 0.14
   Caucasian 4 1.16 (0.99-1.37) 59 0.43-4.59
   Asian 3 1.01 (0.91-1.11) 59 0.51-1.96
  0.40 mg/kg 3 0.99 (0.88-1.11) 74 0.41-2.43
 Study design 0.22
  RCT 7 1.03 (0.88-1.21) 51 0.82-1.30
  Observational study 5 1.80 (0.94-3.44) 62 0.71-2.37
Any ICH 17 1.02 (0.91-1.15) 32 0.91-1.16 0.69
 Ethnicity 0.83
  Asian 7 0.99 (0.76-1.31) 38 0.46-2.42
  Caucasian 7 1.00 (0.86-1.17) 44 0.83-1.21
  Mixed 3 1.08 (0.88-1.34) 0 0.27-4.31
 Mean NIHSS Score 0.44
  <10 8 0.94 (0.78-1.14) 0 0.75-1.18
  ≥10 7 1.05 (0.88-1.24) 56 0.45-3.91
 LVO 0.87
  Yes 12 1.00 (0.87-1.15) 32 0.86-1.17
  No 5 1.02 (0.84-1.25) 37 0.74-1.41
 Mechanical thrombectomy 0.96
  Yes 11 1.01 (0.88-1.17) 43 0.86-1.18
  No 6 1.01 (0.83-1.22) 2 0.78-1.29
 Dose 0.21
  0.10 mg/kg 2 1.20 (0.47-3.05) 49 NA
  0.25 mg/kg 13 0.96 (0.85-1.09) 9 0.83-1.11 0.33
   Caucasian 4 0.93 (0.77-1.12) 18 0.61-1.40
   Asian 6 0.83 (0.61-1.12) 7 0.54-1.28
   Mixed 3 1.08 (0.88-1.34) 0 0.27-4.31
  0.40 mg/kg 4 1.25 (0.96-1.65) 56 0.43-4.60
 Study design 0.26
  RCT 6 0.96 (0.75-1.21) 41 0.79-1.15
  Observational study 11 1.12 (0.90-1.40) 24 0.92-1.37
Parenchymal hemorrhage 12 0.97 (0.61-1.53) 49 0.50-1.89 0.88
 Mean NIHSS Score 0.16
  <10 5 0.78 (0.56-1.11) 60 0.23-3.05
  ≥10 7 1.10 (0.80-1.50) 40 0.73-1.66
 LVO 0.75
  Yes 8 0.93 (0.73-1.19) 54 0.50-1.81
  No 4 1.07 (0.47-2.43) 53 0.02-40.06
 Mechanical thrombectomy 0.08
  Yes 7 1.11 (0.83-1.49) 44 0.73-1.68
  No 5 0.72 (0.49-1.05) 47 0.39-1.33
 Dose 0.27
  0.10 mg/kg 2 0.67 (0.20-2.27) 0 NA
  0.25 mg/kg 7 0.89 (0.69-1.15) 55 0.40-1.94
  0.40 mg/kg 2 1.54 (0.80-2.94) 81 NA
 Study design 0.06
  RCT 7 1.22 (0.65-2.26) 55 0.78-1.90
  Observational study 5 0.70 (0.46-1.05) 0 0.40-1.22
RR, risk ratio; CI, confidence interval; PI, prediction interval; mRS, modified Rankin Scale; NIHSS, National Institutes of Health Stroke Scale; LVO, large vessel occlusion; RCT, randomized controlled trial; sICH, symptomatic intracranial hemorrhage; ICH, intracranial hemorrhage; NA, not applicable.

References

1. Huang X, Cheripelli BK, Lloyd SM, Kalladka D, Moreton FC, Siddiqui A, et al. Alteplase versus tenecteplase for thrombolysis after ischaemic stroke (ATTEST): a phase 2, randomised, open-label, blinded endpoint study. Lancet Neurol 2015;14:368-376.
crossref pmid
2. Menon BK, Buck BH, Singh N, Deschaintre Y, Almekhlafi MA, Coutts SB, et al. Intravenous tenecteplase compared with alteplase for acute ischaemic stroke in Canada (AcT): a pragmatic, multicentre, open-label, registry-linked, randomised, controlled, non-inferiority trial. Lancet 2022;400:161-169.
pmid
3. Kvistad CE, Næss H, Helleberg BH, Idicula T, Hagberg G, Nordby LM, et al. Tenecteplase versus alteplase for the management of acute ischaemic stroke in Norway (NOR-TEST 2, part A): a phase 3, randomised, open-label, blinded endpoint, noninferiority trial. Lancet Neurol 2022;21:511-519.
crossref pmid
4. Wang Y, Li S, Pan Y, Li H, Parsons MW, Campbell BCV, et al. Tenecteplase versus alteplase in acute ischaemic cerebrovascular events (TRACE-2): a phase 3, multicentre, open-label, randomised controlled, non-inferiority trial. Lancet 2023;401:645-654.
pmid
5. Muir K, Murray A, Wardlaw J, Ford I, Ford G. Abstract TMP24: alteplase-tenecteplase trial evaluation for stroke thrombolysis (ATTEST 2). Stroke 2018;49(Suppl 1):ATMP24.
crossref
6. Parsons M, Spratt N, Bivard A, Campbell B, Chung K, Miteff F, et al. A randomized trial of tenecteplase versus alteplase for acute ischemic stroke. N Engl J Med 2012;366:1099-1107.
crossref pmid
7. Chandra A, Raina AF, Wani M, Ganie H, Dar W, Yaqoob A, et al. Efficacy outcomes of tenecteplase versus alteplase in patients with ischemic stroke in therapeutic window: experience from a single institution. Arch Med Health Sci 2023;11:3-8.
crossref
8. George M, Baby N, Paul R, Zabeer M, Thomas C. Comparison of thrombolytic agents in treatment of patients with acute ischemic stroke; findings from a single centre follow up study in real-life settings. J Clin Neurosci 2021;91:299-305.
crossref pmid
9. Li S, Pan Y, Wang Z, Liang Z, Chen H, Wang D, et al. Safety and efficacy of tenecteplase versus alteplase in patients with acute ischaemic stroke (TRACE): a multicentre, randomised, open label, blinded-endpoint (PROBE) controlled phase II study. Stroke Vasc Neurol 2022;7:47-53.
crossref pmid pmc
10. Warach SJ, Ranta A, Kim J, Song SS, Wallace A, Beharry J, et al. Symptomatic intracranial hemorrhage with tenecteplase vs alteplase in patients with acute ischemic stroke: the comparative effectiveness of routine tenecteplase vs alteplase in acute ischemic stroke (CERTAIN) collaboration. JAMA Neurol 2023;80:732-738.
crossref pmid pmc
11. Saaiq M, Ashraf B. Modifying “pico” question into “picos” model for more robust and reproducible presentation of the methodology employed in a scientific study. World J Plast Surg 2017;6:390-392.
pmid pmc
12. Schardt C, Adams MB, Owens T, Keitz S, Fontelo P. Utilization of the PICO framework to improve searching PubMed for clinical questions. BMC Med Inform Decis Mak 2007;7:16.
crossref pmid pmc pdf
13. Sterne JAC, Savovic´ J, Page MJ, Elbers RG, Blencowe NS, Boutron I, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ 2019;366:l4898.
crossref pmid
14. Sterne JA, Hernán MA, Reeves BC, Savovic´ J, Berkman ND, Viswanathan M, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ 2016;355:i4919.
crossref pmid pmc
15. Sterne JA, Sutton AJ, Ioannidis JP, Terrin N, Jones DR, Lau J, et al. Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ 2011;343:d4002.
crossref pmid
16. Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997;315:629-634.
crossref pmid pmc
17. Balduzzi S, Rücker G, Schwarzer G. How to perform a metaanalysis with R: a practical tutorial. Evid Based Ment Health 2019;22:153-160.
crossref pmid pmc
18. Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol 2014;14:135.
crossref pmid pmc pdf
19. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ 2003;327:557-560.
crossref pmid pmc
20. Fletcher J. What is heterogeneity and is it important? BMJ 2007;334:94-96.
crossref pmid pmc
21. Tufanaru C, Munn Z, Stephenson M, Aromataris E. Fixed or random effects meta-analysis? Common methodological issues in systematic reviews of effectiveness. Int J Evid Based Healthc 2015;13:196-207.
crossref pmid
22. Riley RD, Higgins JP, Deeks JJ. Interpretation of random effects meta-analyses. BMJ 2011;342:d549.
crossref pmid
23. Deeks JJ, Higgins JP, Altman DG; Cochrane Statistical Methods Group. Analysing data and undertaking meta-analyses. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al. Cochrane handbook for systematic reviews of interventions. 2nd ed. Hoboken, NJ: Wiley, 2019;241-284.

24. Thompson SG, Higgins JP. How should meta-regression analyses be undertaken and interpreted? Stat Med 2002;21:1559-1573.
crossref pmid
25. Higgins JP, Thompson SG. Controlling the risk of spurious findings from meta-regression. Stat Med 2004;23:1663-1682.
crossref pmid
26. Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ 2008;336:924-926.
crossref pmid pmc
27. Bivard A, Zhao H, Churilov L, Campbell BCV, Coote S, Yassi N, et al. Comparison of tenecteplase with alteplase for the early treatment of ischaemic stroke in the Melbourne mobile stroke unit (TASTE-A): a phase 2, randomised, open-label trial. Lancet Neurol 2022;21:520-527.
crossref pmid
28. Campbell BCV, Mitchell PJ, Churilov L, Yassi N, Kleinig TJ, Dowling RJ, et al. Tenecteplase versus alteplase before thrombectomy for ischemic stroke. N Engl J Med 2018;378:1573-1582.
pmid
29. Checkouri T, Gerschenfeld G, Seners P, Yger M, Ben Hassen W, Chausson N, et al. Early recanalization among patients undergoing bridging therapy with tenecteplase or alteplase. Stroke 2023;54:2491-2499.
crossref pmid
30. Dhar N, Kumar M, Tiwari A, Desai I, Madhaw G, Kumar N. Tenecteplase and alteplase for thrombolysis of acute ischemic stroke within 4.5 hours: an efficacy and safety study. Ann Indian Acad Neurol 2022;25:897-901.
pmid pmc
31. Estella Á, Pérez Ruiz M, Serrano JJ. Effectiveness and safety of tecneplase vs. alteplase in the acute treatment of ischemic stroke. J Pers Med 2022;12:1525.
crossref pmid pmc
32. Gerschenfeld G, Liegey JS, Laborne FX, Yger M, Lyon V, Checkouri T, et al. Treatment times, functional outcome, and hemorrhage rates after switching to tenecteplase for stroke thrombolysis: insights from the TETRIS registry. Eur Stroke J 2022;7:358-364.
crossref pmid pmc pdf
33. Haley EC Jr, Thompson JL, Grotta JC, Lyden PD, Hemmen TG, Brown DL, et al. Phase IIB/III trial of tenecteplase in acute ischemic stroke: results of a prematurely terminated randomized clinical trial. Stroke 2010;41:707-711.
crossref pmid pmc
34. Hall J, Thon JM, Heslin M, Thau L, Yeager T, Siegal T, et al. Tenecteplase improves door-to-needle time in real-world acute stroke treatment. Stroke Vasc Interv Neurol 2021;1:e000102.
crossref
35. Hendrix P, Collins MK, Griessenauer CJ, Goren O, Melamed I, Weiner GM, et al. Tenecteplase versus alteplase before mechanical thrombectomy: experience from a US healthcare system undergoing a system-wide transition of primary thrombolytic. J Neurointerv Surg 2023;15:e277-e281.
crossref pmid
36. Kuruttukulam G, Sundar K, Bhirud L, Panwar A, Alapatt PJ. Does tenecteplase before mechanical thrombectomy result in a faster revascularization as compared to alteplase? Observations from a comprehensive stroke care center in Southern India. J Stroke Med 2023;6:40-45.
crossref pdf
37. Logallo N, Novotny V, Assmus J, Kvistad CE, Alteheld L, Rønning OM, et al. Tenecteplase versus alteplase for management of acute ischaemic stroke (NOR-TEST): a phase 3, randomised, open-label, blinded endpoint trial. Lancet Neurol 2017;16:781-788.
crossref pmid
38. Mahawish K, Gommans J, Kleinig T, Lallu B, Tyson A, Ranta A. Switching to tenecteplase for stroke thrombolysis: real-world experience and outcomes in a regional stroke network. Stroke 2021;52:e590-e593.
pmid
39. Mohan A, Komakula S, Murali S, Anand P, Shah D, Vishnu VY, et al. Biosimilar tenecteplase versus alteplase in acute ischemic stroke: a real world study. Ann Indian Acad Neurol 2023;26:54-58.
pmid pmc
40. Murphy LR, Hill TP, Paul K, Talbott M, Golovko G, Shaltoni H, et al. Tenecteplase versus alteplase for acute stroke: mortality and bleeding complications. Ann Emerg Med 2023;82:720-728.
crossref pmid
41. Parsons MW, Miteff F, Bateman GA, Spratt N, Loiselle A, Attia J, et al. Acute ischemic stroke: imaging-guided tenecteplase treatment in an extended time window. Neurology 2009;72:915-921.
crossref pmid
42. Psychogios K, Palaiodimou L, Katsanos AH, Magoufis G, Safouris A, Kargiotis O, et al. Real-world comparative safety and efficacy of tenecteplase versus alteplase in acute ischemic stroke patients with large vessel occlusion. Ther Adv Neurol Disord 2021;14:1756286420986727.
crossref pmid pmc pdf
43. Qureshi AI, Baskett WI, Bains NK, French BR, Siddiq F, Gomez CR, et al. Outcomes with IV tenecteplase and IV alteplase for acute ischemic stroke with or without thrombectomy in real-world settings in the United States. J Stroke Cerebrovasc Dis 2023;32:106898.
crossref pmid
44. Sjögren V, Ekici R, Faergemann E, Björck F. Feasibility of switching from alteplase to tenecteplase for stroke thrombolysis-a retrospective cohort analysis. IBRO Neurosci Rep 2023;14:353-357.
crossref pmid pmc
45. Sundar K, Bhirud L, Panwar A, Cherian JJ, Paul EM, Kuruttukulam GV. Tenecteplase versus alteplase (TENVALT): a study comparing two thrombolytic agents in acute ischemic stroke. Neurol Asia 2019;24:203-208.

46. Teivane A, Jurja¯ns K, Ve¯tra J, Grigorjeva J, Kupcs K, Masiliu¯nas R, et al. Tenecteplase or alteplase better in patients with acute ischemic stroke due to large vessel occlusion: a single center observational study. Medicina (Kaunas) 2022;58:1169.
crossref pmid pmc
47. Tsivgoulis G, Katsanos AH, Christogiannis C, Faouzi B, Mavridis D, Dixit AK, et al. Intravenous thrombolysis with tenecteplase for the treatment of acute ischemic stroke. Ann Neurol 2022;92:349-357.
pmid
48. Walton MN, Hamilton LA, Salyer S, Wiseman BF, Forster AM, Rowe AS. Major bleeding postadministration of tenecteplase versus alteplase in acute ischemic stroke. Ann Pharmacother 2023;57:535-543.
crossref pmid pdf
49. Warach SJ, Dula AN, Milling TJ, Miller S, Allen L, Zuck ND, et al. Prospective observational cohort study of tenecteplase versus alteplase in routine clinical practice. Stroke 2022;53:3583-3593.
crossref pmid
50. Zhao ZA, Qiu J, Wang L, Zhao YG, Sun XH, Li W, et al. Intraarterial tenecteplase is safe and may improve the first-pass recanalization for acute ischemic stroke with large-artery atherosclerosis: the BRETIS-TNK trial. Front Neurol 2023;14:1155269.
crossref pmid pmc
51. Zhong CS, Beharry J, Salazar D, Smith K, Withington S, Campbell BCV, et al. Routine use of tenecteplase for thrombolysis in acute ischemic stroke. Stroke 2021;52:1087-1090.
crossref pmid
52. McHugh ML. Interrater reliability: the kappa statistic. Biochem Med (Zagreb) 2012;22:276-282.
crossref pmid pmc
53. Hacke W, Kaste M, Fieschi C, von Kummer R, Davalos A, Meier D, et al. Randomised double-blind placebo-controlled trial of thrombolytic therapy with intravenous alteplase in acute ischaemic stroke (ECASS II). Lancet 1998;352:1245-1251.
crossref pmid
54. Wahlgren N, Ahmed N, Dávalos A, Ford GA, Grond M, Hacke W, et al. Thrombolysis with alteplase for acute ischaemic stroke in the safe implementation of thrombolysis in stroke-monitoring study (SITS-MOST): an observational study. Lancet 2007;369:275-282.
crossref pmid
55. Tsai CF, Anderson N, Thomas B, Sudlow CL. Risk factors for ischemic stroke and its subtypes in Chinese vs. Caucasians: systematic review and meta-analysis. Int J Stroke 2015;10:485-493.
crossref pmid pdf
56. Katsanos AH, Psychogios K, Turc G, Sacco S, de Sousa DA, De Marchis GM, et al. Off-label use of tenecteplase for the treatment of acute ischemic stroke: a systematic review and meta-analysis. JAMA Netw Open 2022;5:e224506.
crossref pmid pmc
57. Rose D, Cavalier A, Kam W, Cantrell S, Lusk J, Schrag M, et al. Complications of intravenous tenecteplase versus alteplase for the treatment of acute ischemic stroke: a systematic review and meta-analysis. Stroke 2023;54:1192-1204.
crossref pmid pmc
58. Katsanos AH, Safouris A, Sarraj A, Magoufis G, Leker RR, Khatri P, et al. Intravenous thrombolysis with tenecteplase in patients with large vessel occlusions: systematic review and metaanalysis. Stroke 2021;52:308-312.
crossref pmid

Appendices

Appendix. PRISMA 2020 Checklist

jos-2024-01284-Appendix-1.pdf


ABOUT JoS
AUTHOR INFORMATION
ARTICLE CATEGORY

Browse all articles >

BROWSE ARTICLES
Editorial Office
Department of Neurology, Asan Medical Center,Ulsan University College of Medicine
88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea
Submission, status and progress, etc ⟫ E-mail: editor@j-stroke.org
Website and system ⟫ E-mail: journal@m2community.co.kr
Publishing company ⟫ E-mail: ka72sus@smileml.com
Developed in M2PI
Copyright © 2024 by Korean Stroke Society.
Close layer
prev next