Incidence and impact of withdrawal of life-sustaining therapies in clinical trials of severe traumatic brain injury: A systematic review
Notice bibliographique
Résumé
Background Most deaths following severe traumatic brain injury follow decisions to withdraw life-sustaining therapies. However, the incidence of the withdrawal of life-sustaining therapies and its potential impact on research data interpretation have been poorly characterized. The aim of this systematic review was to assess the reporting and the impact of withdrawal of life-sustaining therapies in randomized clinical trials of patients with severe traumatic brain injury. Methods We searched Medline, Embase, Cochrane Central, BIOSIS, and CINAHL databases and references of included trials. All randomized controlled trials published between January 2002 and August 2015 in the six highest impact journals in general medicine, critical care medicine, and neurocritical care (total of 18 journals) were considered for eligibility. Randomized controlled trials were included if they enrolled adult patients with severe traumatic brain injury (Glasgow Coma Scale ≤ 8) and reported data on mortality. Our primary objective was to assess the proportion of trials reporting the withdrawal of life-sustaining therapies in a publication. Our secondary objectives were to describe the overall mortality rate, the proportion of deaths following the withdrawal of life-sustaining therapies, and to assess the impact of the withdrawal of life-sustaining therapies on trial results. Results From 5987 citations retrieved, we included 41 randomized trials (n = 16,364, ranging from 11 to 10,008 patients). Overall mortality was 23% (range = 3%-57%). Withdrawal of life-sustaining therapies was reported in 20% of trials (8/41, 932 patients in trials) and the crude number of deaths due to the withdrawal of life-sustaining therapies was reported in 17% of trials (7/41, 884 patients in trials). In these trials, 63% of deaths were associated with the withdrawal of life-sustaining therapies (105/168). An analysis carried out by imputing a 4% differential rate in instances of withdrawal of life-sustaining therapies between study groups yielded different results and conclusions in one third of the trials. Conclusion Data on the withdrawal of life-sustaining therapies are incompletely reported in randomized controlled trials of patients with severe traumatic brain injury. Given the high proportion of deaths due to the withdrawal of life-sustaining therapies in severe traumatic brain injury patients, and the potential of this medical decision to influence the results of clinical trials, instances of withdrawal of life-sustaining therapies should be systematically reported in clinical trials in this group of patients.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,085 | 0,347 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,015 | 0,013 |
| Bibliométrie | 0,015 | 0,016 |
| Études des sciences et des technologies | 0,001 | 0,003 |
| Communication savante | 0,006 | 0,006 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».