Evidence map›Paper›PMID 37492594›Full record

ArticleFrontiers in nutrition2023

The efficacy of fat-free mass index and appendicular skeletal muscle mass index in cancer malnutrition: a propensity score match analysis.

Wei Ji, XiangLiang Liu, Pengfei Liu, YuWei He, YiXin Zhao, Kaiwen Zheng, JiuWei Cui, Wei Li

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  3. Association between caffeine intake and fat free mass index: a retrospective cohort study.Journal of the International Society of Sports Nutrition · 2025
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  11. Effect of skinfold thickness on arm venous access port in cancer patients.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2023
    Article
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.

Wei Ji *Center of Cancer, The First Affiliated Hospital of Jilin University, Changchun, China.
XiangLiang Liu *Center of Cancer, The First Affiliated Hospital of Jilin University, Changchun, China.
Pengfei LiuCancer Department, Longyan First Hospital, Fujian, Longyan, China.
YuWei HeCenter of Cancer, The First Affiliated Hospital of Jilin University, Changchun, China.
YiXin ZhaoCenter of Cancer, The First Affiliated Hospital of Jilin University, Changchun, China.
Kaiwen ZhengCenter of Cancer, The First Affiliated Hospital of Jilin University, Changchun, China.
JiuWei CuiCenter of Cancer, The First Affiliated Hospital of Jilin University, Changchun, China.
Wei LiCenter of Cancer, The First Affiliated Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reduced muscle mass (RMM) is a phenotypic criterion for malnutrition; the appendicular skeletal muscle mass index (ASMI) and fat-free mass index (FFMI) are both applicable indicators in the global leadership initiative on malnutrition (GLIM) guideline. However, their sensitivity and prognostic effect remain unclear. Methods: Clinical data of 2,477 patients with malignant tumors were collected. Multi-frequency bioelectrical impedance analysis was used to obtain ASMI and FFMI. RMM was confirmed by ASMI (< 7.0 kg/m Results: In total, 546 (22.0%) and 659 (26.6%) participants were diagnosed with RMM by ASMI (RMM.ASMI group) and FFMI (RMM.FFMI group); 375 cases overlapped. Body mass index (BMI), midarm circumference, triceps skinfold thickness, and maximum calf circumference were all significantly larger in the RMM.FFMI group for both sexes ( Conclusion: In general, RMM indicates negative clinical outcomes; when defined by FFMI, it predicts nutritional status, and when defined by ASMI, it is related to poor survival in cancer patients.

Indexed as

cancermalnutritionnutritionprognosisskeletal muscle

Identifiers

PMID37492594
PMCPMC10364448

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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.