Unruptured intracranial aneurysms and the Trial on Endovascular Aneurysm Management (TEAM): The principles behind the protocol.
Bibliographic record
Abstract
BACKGROUND: With the widespread availability of non-invasive imaging of the brain in an aging population, we are increasingly confronted with the problem of the incidental discovery of unruptured aneurysms. The management of these patients remains controversial. Endovascular treatment can prevent rupture, but involves immediate risks. Furthermore, successful treatment does not eliminate all risk of rupture. The safety and efficacy of endovascular treatment of unruptured aneurysms remain undetermined. Hence the balance of the risks and benefits is uncertain. A randomized trial is needed to assess the potential benefits of endovascular management of unruptured aneurysms. THE TRIAL: TEAM (Trial on Endovascular Aneurysm Management) is a randomized trial comparing endovascular treatment versus conservative management of unruptured aneurysms. TEAM aims to recruit 2002 patients in 60 centers throughout the world over a 3-year period and to follow all patients for 10 years. The primary outcome is to verify if the clinical outcome (morbidity/mortality (modified Rankin scale > 2) related to the aneurysm or its treatment) can be improved from 8% to 4%. The study is funded by the Canadian Institutes of Health Research.
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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 | 0.069 | 0.094 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.011 | 0.008 |
| Insufficient payload (model declined to judge) | 0.033 | 0.009 |
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".