ArticleClinical interventions in aging2025
Development of a Risk Prediction Model for Preoperative Pre-Frailty in Elderly Patients with Gastric Cancer.
Article in Clinical interventions in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Artificial intelligence in onco-anaesthesia: Current applications, challenges, and future directions.World journal of methodology · 2026Review
- The role of comprehensive nursing intervention in postoperative recovery of gastric cancer patients: a retrospective historical cohort study.Frontiers in medicine · 2026Article
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5 authors.
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Abstract
Objective: Complications from surgery as well as the side effects of postoperative chemotherapy, can lead to a decline in the treatment effect of elderly cancer patients, which is closely related to pre-frailty. This study aimed to analyze the prevalence and influencing factors of preoperative pre-frailty in elderly patients with gastric cancer, explore its predictive value, and construct a risk prediction model. Methods: 317 elderly gastric cancer patients was recruited from the 1 Results: Among the 317 included patients, 177 (53.4%) were pre-frail. Binary Logistic regression identified age, comorbidity, hemoglobin concentration, malnutrition risk, depression status, and GI symptoms as independent influencing factors (all P<0.05). ROC curve analysis showed that the area under the curve (AUC) was 0.986 [95% CI (0.972, 0.999)]with an optimal cutoff value of 0.452, corresponding to a sensitivity of 0.889 and a specificity of 0.945. Conclusion: The prevalence of preoperative pre-frailty is high in elderly patients with gastric cancer. Clinicians should pay attention to elderly, patients with combidity, low hemoglobin, malnutrition risk, poor mental healthy, and obvious gastric cancer-specific symptoms. The constructed risk prediction model demonstrates good predictive accuracy and discriminative ability.
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