Chapitre 10: Le traitement de la tuberculose active chez les populations particulières
Bibliographic record
Abstract
POINTS CLÉSLa prise en charge de la tuberculose (TB) chez les personnes âgées, enceintes ou aux prises avec des maladies concomitantes ou des troubles liés à la consommation de substances présente des défis; on recommande donc de consulter un expert en tuberculose.Les événements indésirables et les interruptions de traitement sont plus fréquents dans ces populations particulières que dans la population générale; une surveillance étroite et un soutien additionnel sont souvent nécessaires.Étant donné les modifications de la pharmacocinétique des médicaments antituberculeux et le potentiel de graves interactions médicament-médicament chez les patients présentant des maladies concomitantes, nous recommandons de consulter un pharmacien expérimenté.La TB active et ses traitements ont d’importantes répercussions sur la prise en charge des maladies concomitantes; une étroite collaboration avec des médecins spécialistes et des professionnels paramédicaux est souvent requise.La durée prolongée du traitement antituberculeux est une bonne occasion de dépister des maladies concomitantes et de faciliter l’orientation et les liens vers les soins pertinents.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".