Solutions de réhydratation orale (SRO): lesquelles, comment et pourquoi ?
Bibliographic record
Abstract
La diarrhee est parmi les toutes premieres causes de deces de l'enfant dans le monde. Ces deces peuvent etre expliques par plusieurs facteurs : la deshydratation aigue [1], la diarrhee persistante, l'infection systemique a germes invasifs et la denutrition qui peut preceder ou suivre un episode diarrheique [2]. Rehydratation et nutrition precoce restent les elements cles de la prise en charge de la diarrhee, faute de medicaments symptomatiques ou curatifs capables d'eviter de facon radicale les complications des gastroenterites [3-7]. Les medicaments antidiarrheiques ont pour certains prouve un effet sur la duree de la diarrhee ou le debit des selles ; ils peuvent etre utiles comme adjuvants. Si la majorite des deces se produit dans les pays en voie de developpement, ce sont aussi, par exemple, plusieurs dizaines d'enfants qui sont perdus par an aux Etats-Unis (15 en France), pays ou la sous-utilisation des SRO entraine des depenses de l'ordre de 1 milliard de dollars. La Societe canadienne de pediatrie vient de publier ses nouvelles recommandations sur la prise en charge des diarrhees [8], et, en France, deux vaccins contre le rotavirus viennent d'etre commercialises. Les recommandations officielles ne pronent pas la vaccination systematique des nourrissons, en mettant l'accent sur la necessite de promouvoir les solutions de rehydratation orale [9]. C'est l'occasion de revenir sur ces produits, leur composition, leurs evolutions et leurs modalites d'utilisation.
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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 | 0.005 |
| 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 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".