Interventions to reduce short term post-operative mortality in Low- and Middle-Income Countries: A Protocol for a Systematic Review of randomised controlled trials.
Notice bibliographique
Résumé
Introduction: Post-operative mortality is the third leading cause of death worldwide. Patients in low- and middle-income countries (LMIC) are at disproportionately increased risk, and it is likely that many deaths are avoidable and preventable. We aim to consolidate evidence on interventions tested in a randomised setting to reduce short term post-operative mortality following non-cardiac surgery in LMICs. Methods: We will conduct a systematic review of all randomised controlled trials of interventions aimed at reducing short term post-operative mortality in Low- and Middle-Income countries. Short term mortality is defined as within 90 days of surgery. Trials will be included if they pertain to non-cardiac surgery in both elective and emergency settings and report mortality as their primary outcome. If trials are conducted across multiple countries, we will include them if we are able to extract the LMIC data separately. Our primary aim is to consolidate evidence on interventions tested in a randomised setting to reduce short term post-operative mortality. We will achieve this by several secondary outcomes which are to identify the number of RCTs of interventions tested in this context; describe the interventions, their components, and their timing on the patient pathway; the geographical location the trials were conducted and the adherence to the interventions. Finally, we will describe the impact on mortality of the interventions. Study selection will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Data on individual components of each intervention will be collected and thematically coded and grouped. We will use these groupings to map each intervention across the surgical pathway from the pre-operative phase and decision for surgery to postoperative rehabilitation. Formal ethical approval is not required as primary data will not be collected. Discussion: Despite reductions in perioperative mortality globally in the last 50 years, post-operative mortality is the third leading cause of death, with 4.2 million people dying within 30 days of an operation each year. This systematic review will identify and discuss interventions tested in a randomised setting to reduce short-term post-operative mortality following non-cardiac surgery in LMICs. This will inform future trial design by identifying successful interventions or knowledge gaps in the patient pathway in which interventions have not been tested. Prospero registration number: CRD42024604760
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 | 0,019 | 0,069 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,036 | 0,014 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».