Evidence map›Paper›PMID 39856268›Full record

ArticleScientific reports2025

The association between body composition and overall survival in patients with advanced non-small cell lung cancer.

Liang Fu, Haiming Ding, Liupei Mo, Xiaoyu Pan, Lijuan Feng, Shenglian Wen, Qiaoqing Lan, Liling Long

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Review
  6. Article
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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

8 authors.

Liang Fu *Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, China.
Haiming Ding *Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, China.
Liupei MoDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, China.
Xiaoyu PanDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, China.
Lijuan FengDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, China.
Shenglian WenDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, China.
Qiaoqing LanDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, China.
Liling LongDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, China. cjr.longliling@vip.163.com.

Funding

the Innovation Project of Guangxi Graduate Education YCBZ2023106
6 · The paper itself

Abstract

Nutritional status is associated with prognosis in a variety of cancers. Studies analyzing the association between the measurements of skeletal muscle and adipose tissue obtained from Computerized Tomography (CT) images at the time of diagnosis of advanced non-small cell lung cancer (NSCLC) and overall survival (OS) are relatively few. Data from 425 patients diagnosed with advanced NSCLC between January 2016 and December 2017 were retrospectively analyzed, with an average follow-up of 15.3 months. To outline the patient's chest CT plain image at the time of diagnosis,skeletal muscle and subcutaneous fat at the level of both thoracic vertebrae were quantified in terms of mass and quantity by the pectoral muscle index (PMI), pectoral muscle density (PMD), subcutaneous fat index (SFI), subcutaneous fat density (SFD), paravertebral muscle index (PVMI), and paravertebral muscle density (PVMD). The SFI value in the female survival group is significantly lower than that in the death group (P = 0.049), and the PVMI value in the overall survival group is significantly lower than that in the death group (P < 0.001). After adjusting for clinical variables such as gender, smoking status, clinical staging, degree of differentiation, and radiotherapy history, the multivariable Cox regression analysis showed that an increase in SFI significantly improves the overall survival rate of patients (Hazard Ratio [HR] = 1.410, 95% Confidence Interval [CI]: 1.042-1.908, P = 0.026). Conversely, a decrease in PVMD is significantly associated with improved overall survival and prognosis (HR = 0.762, 95% CI: 0.579-0.982, P = 0.048). No association was found between body mass index (BMI) and chest muscle status indicators and overall survival (P > 0.05). CT-measured body composition parameters provide precise prognostic information and are superior to BMI; an increased OS rate in advanced NSCLC is associated with a greater SFI and a lower PVMD.

Indexed as

Body CompositionCarcinoma, Non-Small-Cell LungLung NeoplasmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedMuscle, SkeletalPrognosisRetrospective StudiesTomography, X-Ray ComputedBody compositionNSCLCOverall SurvivalSkeletal muscleSubcutaneous fat

Identifiers

PMID39856268
PMCPMC11761065

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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.