Évaluation de la qualité de la démarche diagnostique devant un syndrome confusionnel au service des urgences du CHU de Clermont-Ferrand
Bibliographic record
Abstract
Le syndrome confusionnel est une pathologie fréquemment rencontrée chez les personnes âgées et correspond à une altération globale des fonctions supérieures. Les étiologies sont multiples (toxiques, infectieuses, neurologiques, métaboliques, endocriniennes...), mais sont parfois multifactorielles. Le syndrome confusionnel doit être considéré comme une urgence de 2ème niveau selon la classification canadienne du tri infirmier (malade à évaluer médicalement dans les 20 minutes suivant son admission administrative), et ses prises en charge diagnostique et thérapeutique imposent une hospitalisation. Notre étude de 48 patients a consisté à étudier et critiquer la démarche diagnostique permettant d'aboutir au diagnostic final des patients admis pour syndrome confusionnel au Service des Urgences de Clermont-Ferrand en déterminant les différents examens cliniques et complémentaires réalisés aux urgences.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".