Evidence map›Paper›PMID 41820908›Full record

ArticleBMC pulmonary medicine2026

Impact of combined skeletal muscle index, subcutaneous fat index, and visceral fat index on prognosis in non-metastatic non-small cell lung cancer.

Fahui Chen, Zhihui Shi, Hua Bai, Hongtao Lei, Hongjiang Pu, Yang Yang, Yongmei Wu, Ying Zhao, Xin Ning, Guanghong Yan and 10 more

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Fahui Chen *Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China.
Zhihui Shi *Department of Radiology, Yunnan Cancer Hospital, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, 650118, China.
Hua Bai *Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China.
Hongtao LeiYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China.
Hongjiang PuDepartment of Oncology, Dazhou Central Hospital, Dazhou, 635000, Sichuan, China.
Yang YangYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China.
Yongmei WuYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China.
Ying ZhaoYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China.
Xin NingSchool of Nursing, Kunming Medical University, Kunming, 650500, People's Republic of China.
Guanghong YanYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China.
Mengmei LiuYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China.
Yani LiYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China.
Sifan DuanYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China.
Hanqun LiuYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China.
Chang ShuYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China.
Lu LuYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China.
Wenjing XiaYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China.
Xuewen ZhangDepartment of Radiology, Dali Bai Autonomous Prefecture Chinese Medicine Hospital, Dali, 671000, China.
Zhenhui Li *Department of Radiology, Yunnan Cancer Hospital, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, 650118, China. lizhenhui@kmmu.edu.cn.
Dingyun You *Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, 650500, People's Republic of China. youdingyun@kmmu.edu.cn.

Funding

Academician (Expert) Workstation Program 202505AF350006Biomedical Specialization of Yunnan Province 202402AA310012Key Laboratory of Integrated Care for Geriatric Chronic Diseases (Kunming Medical University, School of Nursing), Yunnan Provincial Education Department 2024HTHLYB02Medical high-end talents training program of Yunnan Health Commission L-2024009the First-Class Discipline Team of Kunming Medical University 2024XKTDTS17the Innovative Research Team of Yunnan Province 202405AS350016Yunnan Applied Basic Research Projects-Kunming Medical University Union Foundation 202501AY070001-003Yunnan Fundamental Research Projects 202101AZ070001-103
6 · The paper itself

Abstract

backgroundThe combined prognostic role of skeletal muscle index (SMI), subcutaneous fat index (SFI), and visceral fat index (VFI) in non-metastatic non-small cell lung cancer (NSCLC) remains unclear.

methodsConsecutive non-metastatic NSCLC patients who underwent radical pulmonary resection at Yunnan Cancer Hospital from January 2013 to December 2018 were analyzed. Preoperative CT-derived SMI, SFI, and VFI at the third lumbar vertebra level (L3) were stratified into sex-specific high and low groups. A composite index was created based on the count of low-value measures among the three indices. Cox regression evaluated associations with overall survival (OS) and relapse-free survival (RFS).

resultsA total of 1661 patients (mean age 58.9 ± 9.5 years; 911 men [54.8%] and 750 women [45.2%]) were enrolled, with a median follow-up of 73.97 months (95% CI: 72.80–75.10). Low SMI (HR = 1.49, 95% CI: 1.16–1.92, p = 0.002), low SFI (HR = 1.54, 95% CI: 1.22–1.94, p < 0.001), and low VFI (HR = 1.69, 95% CI: 1.32–2.17, p < 0.001) were associated with poorer OS. The composite index demonstrated poorer OS with an increasing number of low indices (SMI, SFI, and VFI) (p for trend < 0.001): one-low (HR = 1.50, 95% CI: 1.16–1.94, p = 0.002), two-low (HR = 1.71, 95% CI: 1.29–2.28, p < 0.001), and all-low (HR = 2.99, 95% CI: 1.89–4.71, p < 0.001). Similar trend occurred for RFS (all p < 0.05).

conclusionPreoperative SMI, SFI, and VFI were independently associated with prognosis in patients with NSCLC, and a composite index integrating these measures may provide valuable complementary information for risk stratification.

Indexed as

Carcinoma, Non-Small-Cell LungIntra-Abdominal FatLung NeoplasmsMuscle, SkeletalSubcutaneous FatAgedChinaFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesTomography, X-Ray ComputedBody compositionComputed tomographyNon-small cell lung cancerPrognosisSkeletal Muscle

Identifiers

PMID41820908
PMCPMC13126992

What Socratic holds

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Registered trials

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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 Socratic graph.