Evidence map›Paper›PMID 41220716›Full record

ArticleFrontiers in nutrition2025

A logistic regression-based nomogram model incorporating clinical, dietary, and nutritional data for predicting postoperative prognosis in elderly patients of grade A tertiary hospital.

Yi-Qiang An, Jing Wei, Na Meng, Yan-Yan Xu, Zhi-Wen Li, Shi-Hong Zhao, Wen Tong

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Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yi-Qiang AnThe Health Policy Research Institute of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Jing WeiDepartment of Thoracic Surgery, Southeast University Affiliated Xuzhou Central Hospital, Xuzhou, Jiangsu, China.
Na MengDepartment of Thoracic Surgery, Southeast University Affiliated Xuzhou Central Hospital, Xuzhou, Jiangsu, China.
Yan-Yan XuDepartment of Thoracic Surgery, Southeast University Affiliated Xuzhou Central Hospital, Xuzhou, Jiangsu, China.
Zhi-Wen LiThe Health Policy Research Institute of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Shi-Hong ZhaoAging Studies Institute of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Wen TongDepartment of Thoracic Surgery, Southeast University Affiliated Xuzhou Central Hospital, Xuzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop and validate a logistic regression model predicting postoperative malnutrition risk in elderly patients using clinical, dietary, and nutritional data. Methods: We analyzed 241 elderly patients (lung cancer lobectomy/esophageal cancer resection) admitted from January 2024 to December 2024. Participants were randomized 7:3 into training ( Results: Baseline characteristics were comparable between sets ( Conclusion: This validated model effectively predicts postoperative malnutrition risk in elderly surgical patients. Its visualization tools simplify complex nutritional assessment, offering a practical solution for resource-limited settings to improve postoperative care in grade A tertiary hospitals.

Indexed as

dietary diversityelderly patientsgrade A tertiary hospitalnomogram prediction modelnutritional statuspostoperative malnutritionthoracic surgery

Identifiers

PMID41220716
PMCPMC12597729

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.