Syncope : nouveautés pour la médecine de premier recours
Bibliographic record
Abstract
La syncope est un motif fréquent de consultation et d’hospitalisation. Un diagnostic est établi dans 50 % des cas grâce au bilan initial. Celui-ci permet aussi de stratifier le risque d’événements cardiovasculaires ou de récidive, et leurs conséquences potentiellement fatales. Cette stratification, basée sur les recommandations européennes et américaines, est essentielle pour orienter la prise en charge. Divers scores prédictifs existent, dont le Canadian Syncope Risk Score (CSRS) qui évalue le risque d’événements graves à 30 jours. L’application de ce score comporte des limites tant dans son utilisation au service des urgences que dans la pratique en ambulatoire. Les recommandations actuelles n’incluent pas de scores spécifiques, soulignant l’importance du jugement clinique et du bilan initial pour la stratification du risque.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".