Critical appraisal of the International Subarachnoid Aneurysm Trial (ISAT).
Bibliographic record
Abstract
The results of the International Subarachnoid Aneurysm Trial (ISAT) drew attention from both scientific and lay press, impacting the management of aneurysm patients significantly. In this review, the ISAT report was analyzed critically and the available literature was scrutinized stratifying the common criticisms as to the weak aspects of this study. The aim of ISAT was to compare the safety and efficacy of endovascular coiling with neurosurgical clipping for aneurysms, which were suitable for both treatments. The results showed a 22.5% relative and 6.9% absolute risk reduction at one year in the disability outcome of patients who were treated with coiling. However, long-term risk of re-bleeding from the treated aneurysms and the risk of repeat procedures was higher in this group also. Lack of angiographic data following the initial treatment and long-term follow-up represents one of the main flaws of this study. The outcome assessment scale, biases regarding patient selection and center participation criteria were further issues of criticism. The results of ISAT are not sufficient to provide a definitive answer as to the superiority of endovascular treatment over microsurgery, although coiling appears to produce less peri-procedural morbidity in a selected group of patients. An optimum outcome assessment should include a universally accepted scale and a detailed long-term angiographic outcome.
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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 | 0.059 | 0.257 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".