Headache Outcomes After Treatment of Unruptured Intracranial Aneurysm
Bibliographic record
Abstract
Background and Purpose- While unruptured intracranial aneurysms may be discovered incidentally in the workup of chronic headache, it remains unclear whether their treatment ultimately impacts headache severity. We aim to conduct a systematic review and meta-analysis assessing headache severity after treatment of unruptured intracranial aneurysm. Methods- MEDLINE and EMBASE were systematically reviewed. Results- Data from 7 studies met inclusion criteria (309 nonduplicated patients). The standard mean difference in pre- and post-intervention headache severity was estimated at -0.448 (95% CI, -0.566 to -0.329) under a random effects model. No significant heterogeneity was noted nor was any significant publication bias demonstrated. Conclusions- This is the first systematic review assessing postoperative headache severity following treatment of unruptured intracranial aneurysm. While a significant reduction in headache severity was observed, further investigation into this phenomenon is recommended before it influences clinical practice. Future study should stratify headache outcomes by aneurysm size, location, and treatment modality.
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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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.010 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".