Effect of Preoperative Antiplatelet Therapy with Acetylsalicylic Acid on Complications and Recurrence in Patients Requiring Drainage of Chronic Subdural Hematomas: a Systematic Review and Meta-analysis
Bibliographic record
Abstract
Abstract Objective To assess the effect of preoperative acetylsalicylic acid use on the risk of recurrence and complications in patients undergoing surgical drainage of chronic subdural hematoma (cSDH) in light of the widespread use of acetylsalicylic acid for cardiovascular prevention among the growing elderly population. Methods A systematic review and meta-analysis were conducted in accordance with PRISMA 2020 guidelines. A comprehensive search was performed on May 31st, 2025, across Pubmed, EMBASE, LILACS, and Web of Science. Eligible studies included cohort studies and randomized controlled trials (RCT) involving patients with cSDH undergoing surgical drainage who were on preoperative acetylsalicylic acid therapy. Outcomes analyzed included mortality, morbidity, perioperative and postoperative complications, and recurrence rates. The risk of bias was assessed using the Newcastle–Ottawa Scale (NOS) for cohort studies and the RoB 2 tool for RCT. Meta-analysis was conducted using a random-effects model, and heterogeneity was evaluated using the I2 statistics. Results The systematic review included eight cohort studies (seven retrospective, one prospective) and one RCT, comprising a total of 3,209 participants, of whom 1,152 (35.8%) had received acetylsalicylic acid preoperatively. Our meta-analysis of 1556 observations found no significant difference in recurrence risk between acetylsalicylic acid users and non-users [RR: 0.99; 95% CI: 0.68—1.45; p = 0.96; I2 = 11.2%]. However, preoperatively acetylsalicylic acid use was associated with a significantly increased risk of thromboembolic events [RR: 2.89; 95% CI: 1.18—7.11; p = 0.02; I2 = 0.0%]. Conclusion Limited evidence suggests that preoperative acetylsalicylic acid use does not significantly increase the risk of cSDH recurrence in patients undergoing surgical drainage. Conversely, these patients may be at increased risk of thromboembolic events. This highlights the importance of careful patient selection and individualized management. Further research is warranted to guide clinical decision-making regarding acetylsalicylic acid therapy in this population.
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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 | 0.011 | 0.025 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.022 | 0.047 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".