Gender disparities in postoperative outcomes following elective spine surgery: a systematic review and meta-analysis
Notice bibliographique
Résumé
OBJECTIVE: Several studies have described disparities between male and female patients following spine surgery, but no pooled analyses have performed a robust review characterizing differences in postoperative outcomes based on gender. The purpose of this study was to broadly assess the effects of gender on postoperative outcomes following elective spine surgery. METHODS: Between November 2022 and March 2023, PubMed, MEDLINE, ERIC, and Embase were queried using artificial intelligence-assisted software for relevant cohort studies. Cohort studies with a minimum sample of 100 patients conducted in the United States since 2010 were eligible. Studies related to trauma, tumors, infections, and spinal cord pathology were excluded. Independent extraction by multiple reviewers was performed using Nested Knowledge software. A fixed- or random-effects model was used if heterogeneity among included studies in a meta-analysis was < 50% or ≥ 50%, respectively. Risk of bias was assessed independently by multiple reviewers using the Newcastle-Ottawa Scale. Pooled effect sizes were calculated for readmission, nonroutine discharge (NRD), length of stay (LOS), extended LOS, reoperation, mortality, all medical complications (individual analyses for cardiovascular, deep venous thrombosis/pulmonary embolism, genitourinary, neurological, respiratory, and systemic infection complications), and wound-related complications. For each outcome, two subanalyses were performed with studies that used either center-based (single- or multi-institution) or high-volume (national or state-wide) databases. RESULTS: Across 124 included studies, male patients had an increased incidence of mortality (OR 0.54, p < 0.0001) and all medical complications (OR 0.80, p = 0.0114), specifically cardiovascular (OR 0.68, p < 0.0001) and respiratory (OR 0.76, p = 0.0008) complications. Female patients were more likely to experience a wound-related surgical complication (OR 1.16, p = 0.0183). These findings persisted in the high-volume database subanalyses. Only center-based subanalyses showed that female patients were at greater odds of experiencing an NRD (OR 1.18, p = 0.0476), longer LOS (SMD 0.23, p = 0.0036), and extended LOS (OR 1.28, p < 0.0001). CONCLUSIONS: Males are more likely to experience death and medical complications, whereas females were more likely to face wound-related surgical complications. At the institution level, females more often experience NRD and longer hospital stays. These findings may better inform preoperative expectation management and provide more detailed postoperative risk assessments based on the patient's gender.
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 | 0,013 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,014 | 0,035 |
| Bibliométrie | 0,008 | 0,008 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| 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 ».