Socioeconomic Status, Length of Stay, and Postoperative Complications in Oral Cavity Squamous Cell Carcinoma
Notice bibliographique
Résumé
Background: Despite universal healthcare in Canada, low socioeconomic status (SES) has been associated with worse survival in oral cavity squamous cell carcinoma (OCSCC) patients. However, the relationship between SES and outcomes during the acute postoperative period is poorly defined. Hamilton, Ontario, presents a unique population with widely varying SES within the same geography. The objective of this study was to examine the relationship between SES, length of hospital stay (LOHS), and postoperative complications in OCSCC. Methods: Newly diagnosed OCSCC patients receiving primary surgical treatment from 2010 to 2014 were identified within a prospectively collected database. Inclusion criteria included age >18 years old, pathological diagnosis of oral cavity cancer, and primary surgical treatment with curative intent. Patients were excluded if they were undergoing palliative treatment or had previous head and neck surgery/radiotherapy. Postal codes were used to identify neighborhood-level socioeconomic variables via 2011 Canada Census data. Income quartiles were defined from groups of neighboring municipalities based on Canada Census definitions. Demographic, social, pathological, staging, and treatment data were collected through chart review. Results: One hundred and seventy-four patients were included in the final analysis. OCSCC patients with lower SES were more likely to be younger ( P = .041), male ( P = .040), have significant tobacco and alcohol use ( P = .001), higher Charlson Comorbidity Index (CCI; P = .014), lower levels of education ( P = .001), and have lower employment levels ( P = .001). Lower SES patients had higher clinical tumor ( P = .006) and clinical nodal ( P = .004) staging and were more likely to receive adjuvant therapy ( P = .001) and G-tubes ( P = .001). Multivariable regression analysis showed that low SES was a statistically significant predictor of postoperative complications [β 2.50 (95% confidence interval (CI) 0.200, 3.17); P = .014] and LOHS [β 2.03 (95% CI 1.06, 2.99); P = .0001]. Tobacco and alcohol use, clinical tumor, and nodal stage, CCI, and planned adjuvant therapy were also statistically significant predictors of postoperative complications and LOHS ( P < .05). Conclusion: Patients with lower SES have more advanced OCSCC disease with increased comorbidities that owes itself to more acute postoperative complications and LOHS within this study population. Patients with low SES should be identified as patients that require more support during their cancer treatment.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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; 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 ».