Les effets indésirables des antipsychotiques chez l’enfant et l’adolescent et leur surveillance
Bibliographic record
Abstract
Resume En France, les antipsychotiques sont regulierement prescrits chez l’enfant et l’adolescent et contrairement a l’adulte, les indications concernent souvent des troubles non-psychotiques. Le taux de prescription des antipsychotiques atypiques a connu une augmentation importante au cours des dix dernieres annees. Si la surveillance des effets secondaires chez l’adulte fait l’objet de recommandations precises, ce n’est pas le cas, en France, pour les enfants et adolescents. Dans cet article, nous detaillerons les differents effets secondaires des antipsychotiques, en particulier le syndrome metabolique, l’hyperprolactinemie, les effets cardio-vasculaires et nous evoquerons aussi la sedation, l’hypersalivation, la leucopenie, ainsi que les effets secondaires neurologiques et psycho-comportementaux. En nous appuyant sur les recommandations canadiennes de la CAMESA (Canadian Alliance for Monitoring Effectiveness and Safety of Antipsychotics in Children), nous donnerons une conduite a tenir pour les prevenir et les prendre en charge.
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 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 | 0.000 |
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".