Evidence map›Paper›PMID 42293208›Full record

ArticleFrontiers in nutrition2026

Prevalence of malnutrition and its prognostic impact in lung metastasis patients treated with SBRT: insights from NRI, CONUT, NRS, and PNI.

Yunjie Zhang, Jingjing Shan, Benxing Gu, Runying Huang, Hai Liu

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Article in Frontiers in nutrition, 2026. 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

5 authors.

Yunjie Zhang *Department of Radiation Oncology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jingjing Shan *Department of Radiation Oncology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Benxing GuDepartment of Radiation Oncology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Runying HuangDepartment of Radiation Oncology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Hai LiuDepartment of Radiation Oncology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Malnutrition is a significant and modifiable prognostic factor in patients with pulmonary metastases undergoing stereotactic body radiotherapy (SBRT). This study evaluated and compared the prognostic utility of four nutritional assessment tools-Nutritional Risk Index (NRI), Controlling Nutritional Status (CONUT), Nutritional Risk Screening 2002 (NRS), and Prognostic Nutritional Index (PNI)-to identify malnutrition patients and inform potential interventions for improving survival. Methods: In this retrospective cohort study of 185 patients with pulmonary metastases treated with SBRT, nutritional status was assessed using the NRI, CONUT, NRS, and PNI. The primary endpoint was overall survival (OS). Statistical analyses encompassed survival analysis, subgroup exploration, correlation assessment, and development of an integrated prognostic model. Results: Malnutrition prevalence varied: 65.95% (NRI), 63.78% (CONUT), 77.84% (NRS), and 79.46% (PNI) of patients had some nutritional impairment. Multivariable analysis identified CONUT (HR = 1.09) and NRI (HR = 3.99) as independent prognostic factors for OS. An integrated model combining nutritional (CONUT, NRI) and clinical variables showed superior predictive performance (C-index: 0.681) compared to any single tool. Conclusion: Malnutrition is highly prevalent and prognostic in SBRT-treated lung metastasis patients. CONUT and NRI are effective for risk stratification. The integrated model offers a superior prognostic tool, supporting the routine integration of these nutritional assessments into clinical practice to identify high-risk patients for timely intervention.

Indexed as

lung metastasismalnutritionnutritional assessmentprognostic modelstereotactic body radiotherapy (SBRT)

Identifiers

PMID42293208
PMCPMC13253434

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