Edaravone dexborneol versus placebo on functional outcomes in patients with acute ischaemic stroke undergoing endovascular thrombectomy (TASTE-2): randomised controlled trial.
Wang C, Gu H, Huo X, Yuan B, Li S, Xu J, Jiang Y, Jing J, Yao X, Li Z, Long F, Ma Z, Zhuang X, Xu L, Jin Y, Huang W, Zhang Y, Wen J, Wang A, Pan Y, Ye W, Yu W, Cheng A, Wang M, Dong Q, Xu A, Wang N, Yang Y, Meng X, Liu L, Zhao X, Li H, Miao Z, Li Z, Wang Y, TASTE-2 investigators
Paper source
Edaravone dexborneol versus placebo on functional outcomes in patients with acute ischaemic stroke undergoing endovascular thrombectomy (TASTE-2): randomised controlled trial.
This rigor review was examined and confirmed by Adcurare Editorial · July 7, 2026
How this rating was calculated▸
- IntegrityIntegrity concern ×2−1★
- Data look implausibly clean
- Internal contradictions in the reported numbers
This Adcurare Rigor Review uses AI Rigor Reviewers trained on a curated corpus of high-fidelity and retracted papers, with expert supervision and curation. It can still make mistakes; verify each finding against the source before relying on it.
This is a well-designed and reported phase 3 RCT with clear rationale, rigorous randomisation and blinding, and good data sharing. The main weaknesses are the lack of an explicit statement of compliance with a regulatory framework, the absence of reported statistical assumption checks, imprecise p-value reporting, code in a static appendix rather than a version-controlled repository, and an internal contradiction in the adverse events percentage in Table 2.
Evaluated 8 dimensions from 3 independent reviewer reports, a copyedit pass, and verification components (citation, statistics, reproducibility, preregistration, integrity, claim audit). The statistics verification component re-computed 11 tests from reported test statistics and CIs; all were consistent, but coverage is limited to those reported with sufficient detail. The citation check found no retracted or unlocatable references. The integrity check flagged an internal contradiction in Table 2 (adverse event percentage) and a note about the very high recanalisation rate potentially reflecting selection bias.
9 major claims checked against the paper's own evidence: all adequately supported.
Recomputed 11 tests: 11 consistent, 0 inconsistent, 11 via agent-written checks.
2 integrity concerns flagged (0 high).
5 copyedit issues flagged: mostly typo, consistency, other.
Checked 31 references: 31 verified.
4 data/code links checked; 3 live.
Registered (1 ID: ClinicalTrials.gov). No reporting guideline cited.
Ready after minor edits. The paper is methodologically sound, but the internal contradiction in Table 2 (adverse events: 354/690 is not 33.0%) must be corrected before submission — this is a data integrity issue that editors and reviewers would catch. Additionally, adding a regulatory-compliance statement, a CONSORT checklist mention, verifying statistical assumptions, and depositing code in a public repository would strengthen the submission and pre-empt reviewer requests.
- 1.HIGHcopyeditCorrect the adverse events count/percentage in Table 2 for the edaravone dexborneol group: '354/690' is arithmetically 51.3%, not 33.0%. Verify the correct numerator (e.g., 228/690 ≈ 33.0%) and denominator, and update the table accordingly.This internal contradiction is a data integrity error that will be caught by reviewers or editors and undermines trust in the reporting.
- 2.HIGHethicsAdd an explicit sentence to the Ethics section stating that the study was conducted in accordance with the Declaration of Helsinki and/or ICH Good Clinical Practice guidelines.This is a standard requirement for human clinical trial reporting; its absence is a key gap flagged by reviewers.
- 3.HIGHreportingAdd a statement to the Methods section (e.g., in Study design or Statistical analysis) that the trial is reported in accordance with the CONSORT 2010 statement, and provide the completed CONSORT checklist as supplementary material.Many journals require explicit reporting guideline adherence; including it pre-empts a common reviewer request.
- 4.HIGHstatisticsAdd a sentence in the Statistical analysis section stating that the assumptions of logistic regression (e.g., linearity of logit, absence of multicollinearity, no influential outliers) were checked and satisfied, or note that the large sample size makes the model robust.The assumptions sub-criterion was not reported; adding this shows analytical thoroughness.
- 5.HIGHdata codeDeposit the analysis code (currently in appendix S15) in a version-controlled public repository (e.g., GitHub, Zenodo) with a persistent DOI and update the data availability statement to reference that repository.Supplementary appendices are not version-controlled and lack a persistent identifier, which is the expected best practice for computational reproducibility.
- 6.MEDIUMstatisticsProvide exact p-values for all outcomes in Table 2 instead of inequalities such as 'P>0.99' — report the precise value (e.g., 'P=0.99' or 'P=0.999') in the table or a footnote.Exact p-values are more informative and allow readers to assess results precisely; the current reporting is inconsistent.
- 7.MEDIUMreportingAdd a note in the Statistical analysis section clarifying that all secondary outcome p-values are two-sided and unadjusted for multiplicity, and briefly discuss this in the limitations.Transparency about multiplicity adjustment (or lack thereof) is important for interpreting the secondary analyses.
- 8.MEDIUMreportingIn the Discussion, add a brief sentence addressing whether the borderline primary p-value (0.05) remains robust after adjustment for the reported subgroup analyses or secondary comparisons.The borderline p-value and exploratory nature of the subgroup finding should be contextualised to avoid over-interpretation.
- 9.MEDIUMreportingAdd a summary of the random-centre-effect convergence issue to the Methods (Statistical analysis) so readers understand why centre was not included as a random effect.The limitations section mentions convergence issues; providing the methodological detail upfront improves transparency.
- 10.LOWotherProvide a plain-language summary of the subgroup findings and their exploratory nature in the abstract to minimise risk of over-interpretation in news coverage.Subgroup analyses are often over-emphasised; explicitly labeling them as exploratory in the abstract is a safeguard.
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