Abstract TP15: Argatroban Among Patients with Acute Ischemic Stroke: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Bibliographic record
Abstract
Introduction: Argatroban, a direct thrombin inhibitor, is currently being investigated as a potential adjunct to the standard of care for the treatment of acute ischemic stroke (AIS). However, data regarding its impact on functional neurological outcomes have been inconclusive. Our objective was to compare neurological outcomes at 90 days among individuals with AIS randomized to argatroban with standard of care versus standard of care alone. Methods: We systematically searched MEDLINE, EMBASE, and Cochrane CENTRAL databases from their inception to July 2024 for randomized controlled trials of argatroban. The primary outcome was excellent functional outcome, as defined by a modified Rankin Scale (mRS) score of 0-1 at 90 days. The secondary endpoints were favorable functional outcome, defined by a mRS score of 0-2 at 90 days, and repeat stroke or other vascular events within 90 days. Safety endpoints included symptomatic intracranial hemorrhage and parenchymal hematoma at 90 days. Risk of bias was assessed using the Cochrane Risk of Bias Tool (RoB 2). Random-effects meta-analytic models were used to estimate pooled risk ratios (RRs) and 95% confidence intervals (CIs). Our protocol was preregistered on Open Science Framework (https://osf.io/tygwx/). Results: Four randomized controlled trials were included. A total of 1,595 participants were randomized to receive either argatroban with standard of care (n=807) or standard of care alone (n=788). Participants were mostly male (67.1%), and their median/mean age ranged from 57 to 69 years. When data were pooled across trials, the impact of argatroban on the likelihood to have a mRS score of 0-1 was inconclusive due to a wide CI (RR: 1.12; 95% CI: 0.88-1.41; I 2 : 63%) (Figure 1). Similar trends were observed for the other predefined outcomes. The RRs were 1.00 (95% CI: 0.87-1.14) for a mRS score of 0-2 (Figure 2) and 0.79 (95% CI: 0.44-1.44) for stroke or other vascular events. The pooled RRs for symptomatic intracranial hemorrhage and parenchymal hematoma were 1.09 (95% CI: 0.73-1.63) and 0.84 (95% CI: 0.48-1.47), respectively. Conclusions: Results were inconclusive due to small sample sizes. Currently, there is insufficient data to support the addition of argatroban to standard of care for the treatment of AIS. Evidence from available trials in this area supports the conduct of larger trials to determine the clinical value of argatroban.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.041 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.023 | 0.029 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".