Evidence map›Paper›PMID 41288932›Full record

ArticleInternational journal of clinical oncology2026

Association of fat-free mass index and survival in patients with lung cancer: a multicenter cohort study.

Gege Zhang, Hongxia Xu, Chuying Zhang, Saba Fida, Jiuwei Cui, Wei Li, Fuxiang Zhou, Chunling Zhou, Hanping Shi, Chunhua Song

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in International journal of clinical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Gege ZhangDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China.
Hongxia XuDepartment of Clinical Nutrition, Daping Hospital, Army Medical University, Chongqing, China.
Chuying ZhangDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China.
Saba FidaDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China.
Jiuwei CuiCancer Center of the First Hospital of Jilin University, Changchun, China.
Wei LiCancer Center of the First Hospital of Jilin University, Changchun, China.
Fuxiang ZhouDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Chunling ZhouDepartment of Clinical Nutrition, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Hanping ShiDepartment of Gastrointestinal Surgery/Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Tieyi Road 10#, Haidian District, Beijing, 100038, China. shihp@ccmu.edu.cn.
Chunhua SongDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China. sch16@zzu.edu.cn.ORCID http://orcid.org/0000-0001-6028-5923

Funding

Henan Provincial Science and Technology Research Project 252102311033Key Technologies Research and Development Program 2022YFC2009600Key Technologies Research and Development Program 2022YFC2009601
6 · The paper itself

Abstract

backgroundFat-free mass index (FFMI) is a prognostic influence in cancer patients. However, for the prognosis of Chinese lung cancer (LC) patients, the threshold and impact of FFMI are not known. The aim of the present study was to examine the association between FFMI and the prognosis of Chinese patients with LC.

methodsTotally 1,881 adult patients with LC were enrolled. During a median follow-up of 41.0 months (range 23.8-64.3), we reported 938 deaths. The optimal stratification method was used to determine the gender-specific optimal threshold for FFMI. Cox regression model and Kaplan-Meier curve were used to evaluate the relationship between FFMI and prognosis. Mediation analysis was used to determine the mediating effect of inflammation.

resultsThe optimal cutoff points for low FFMI in males and females were 17.27 kg/m

conclusionIn this prospective study, low FFMI, as determined by cutoff values, was an independent prognostic factor for patients with LC in both males and females. The association between FFMI and LC prognosis was significantly mediated by NLR.

Indexed as

Body Mass IndexLung NeoplasmsAdultAgedAged, 80 and overChinaCohort StudiesFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisCutoff valuesFat-free mass indexInflammationLung cancerOverall survival

Identifiers

PMID41288932

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