Getting this right from the start will ensure findings from clinical trials can be used effectively
Notice bibliographique
Résumé
Clinical trials produce research that is intended to add to medical knowledge and improve the way we treat patients. Unfortunately, trials of the same condition don't always report the same outcomes, making synthesis of results from different studies challenging. A core outcome set (COS) is a condition-specific set of outcomes, which should be agreed and established as a minimum reporting standard for all clinical trials of interventions for that condition. This will ensure that the results can contribute to future data synthesis. Additionally, use of COS will minimise reporting biases by standardising the outcomes that are reported for a condition. A systematic review investigating caesarean rates in trials of induction of labour identified 157 trials with 31,085 included patients (Mishanina et al. CMAJ Canadian Medical Association Journal 2014;186:665–73). All of the trials reported rates of caesarean section but only 20 trials reported maternal mortality rates. Synthesis of the data for the rate of caesarean section gave a result with narrow confidence intervals (RR 0.88, 95% CI 0.84–0.93) but because the maternal mortality data was scarce and because this outcome is rare, the synthesis of the results gave a wide confidence interval (RR 1.00, 95% CI 0.10–9.57). Had all 157 trials reported maternal mortality as a core outcome, synthesis of these results would have been more likely to have produced a useful result that would be able to inform clinical guidelines. COS development has been driven by the COMET (Core Outcome Measures in Effectiveness Trials) initiative. One of the most important aspects of a COS is that all potential stakeholders are involved during the development, to ensure that the final set of outcomes is relevant to the people whom the interventions directly or indirectly target; not only researchers but health professionals, policy makers and most importantly patients and their relatives. It is envisaged that in the future, a COS will exist for all medical conditions. When designing a clinical trial, researchers should search the COMET database to check whether a COS exists for their condition of interest and if it does they should use the specified outcome in their trial or justify why they have chosen not to. NAMC is an editor for the series but was excluded from the peer-review process of this article. Full disclosure of interests available to view online as supporting information. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,020 | 0,131 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,003 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».