ArticleBMC pulmonary medicine2025
Risk stratification using a nomogram model for postoperative cancer-related fatigue in elderly survivors following early-stage non-small cell lung cancer resection.
Article in BMC pulmonary medicine, 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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Who cites it
2 citing papers in PubMed.
- Effect of Dexmedetomidine Combined with Esketamine on Postoperative Fatigue in Patients Undergoing Total Laparoscopic Hysterectomy: A Single-Center Randomized Double-Blinded Controlled Trial.Therapeutics and clinical risk management · 2026Article
- Construction and validation of a prognostic prediction model for critically ill lung cancer patients based on respiratory functional reserve and systemic inflammatory characteristics.American journal of cancer research · 2026Article
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2 authors.
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Abstract
purposeTo develop and validate a risk stratification model for severe postoperative cancer-related fatigue (CRF) in elderly survivors following early-stage non-small cell lung cancer (NSCLC) resection.
methodsElderly survivors (age ≥ 70 years) following NSCLC surgery were recruited from two tertiary medical centers in Shenyang. Data collected from medical records and self-reported questionnaires were divided into training and validation sets (7:3 ratio). Risk factors were selected utilizing the least absolute shrinkage and selection operator (LASSO) and multivariable logistic regression analysis, and were subsequently integrated into a nomogram. Model performance was assessed using area under the curve (AUC), calibration curves with the Hosmer-Lemeshow (HL) test, decision curve analysis (DCA), and clinical impact curve (CIC).
resultsA total of 32.7% (212/649) participants reported experiencing severe CRF. Five crucial risk factors were identified: fear of disease progression (FoP), caregivers, social support, activities of daily living (ADL), and nutrition status. The nomogram exhibited strong discrimination, with an AUC of 0.864 (95% confidence interval [CI]: 0.828, 0.900) in the training and 0.845 (95% CI: 0.786, 0.903) in the validation sets. Calibration curves indicated a satisfactory agreement between predicted and actual outcomes (HL test: P > 0.05). DCA and CIC supported the nomogram's favorable clinical utility.
conclusionThis validated nomogram serves as an effective tool for stratifying the risk of severe postoperative CRF in elderly patients with NSCLC, facilitating healthcare practitioners in identifying high-risk individuals and implementing early timely interventions.
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