Evidence map›Paper›PMID 39949111›Full record

ArticleJournal of cachexia, sarcopenia and muscle2025

Diagnostic Criteria for Cancer-Associated Cachexia: Insights from a Multicentre Cohort Study.

Zhenyu Huo, Feifei Chong, Na Li, Siyu Luo, Liangyu Yin, Jie Liu, Mengyuan Zhang, Jing Guo, Yang Fan, Ling Zhang and 23 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Observational
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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

33 authors.

Zhenyu HuoDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Feifei ChongDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Na LiDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Siyu LuoDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Liangyu YinDepartment of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Jie LiuDepartment of Clinical Nutrition, The Thirteenth People's Hospital of Chongqing, Chongqing, China.
Mengyuan ZhangDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Jing GuoDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Yang FanDepartment of Clinical Nutrition, Chongqing University Jiangjin Hospital, Chongqing, China.
Ling ZhangDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Xin LinDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Hongmei ZhangDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Muli ShiDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Xiumei HeDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Zongliang LuDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Ning TongDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Wei LiCancer Center, The First Hospital of Jilin University, Jilin, China.
Jiuwei CuiCancer Center, The First Hospital of Jilin University, Jilin, China.
Zengqing GuoDepartment of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China.
Qinghua YaoDepartment of Integrated Chinese and Western Medicine, Cancer Hospital of the University of Chinese Academy of Science (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, China.
Fuxiang ZhouDepartment of Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Ming LiuDepartment of Colorectal Surgery, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Zhikang ChenDepartment of Colorectal and Anal Surgery, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Huiqing YuDepartment of Palliative Care and Department of Geriatric Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Minghua CongComprehensive Oncology Department, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Tao LiDepartment of Radiation Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Zengning LiDepartment of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Pingping JiaDepartment of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Min WengDepartment of Clinical Nutrition, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Chunhua SongDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Hanping ShiDepartment of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Hongxia XuDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.ORCID https://orcid.org/0000-0001-5215-734X
Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) Group

Funding

Chongqing Municipal Health Commission Medical Science Research Project 2025WSJK110Key Program of Chongqing Municipal Science and Health Joint Medical Research Project 2024DBXM005
6 · The paper itself

Abstract

backgroundTo explore the association between cachexia, as defined by different diagnostic criteria, and the risk of mortality in individuals with cancer. We also examined which diagnostic criteria are more feasible and appropriate for cancer-associated cachexia in clinical practice.

methodsA multicentre cohort study was conducted, which involved 5769 participants with cancer. The diagnosis of cachexia was made by applying the initial Fearon criteria (with the appendicular skeletal muscle mass index [ASMI]) and six modified criteria: (1) evaluating the muscle mass through the mid-upper-arm muscle area (MAMA), (2) fat-free mass index (FFMI), (3) calf circumference (CC), (4) hand grip strength (HGS), (5) neutrophil-to-lymphocyte ratio (NLR) and (6) omission of reduced muscle mass. The correlations between cancer cachexia diagnosed by different definitions and survival were assessed using Kaplan-Meier analyses and multivariable-adjusted Cox models. The sensitivity, specificity, positive likelihood ratios, negative likelihood ratios, AUC value, Youden index and weighted kappa coefficient were calculated for each set of criteria.

resultsThe final analysis included 5110 patients diagnosed with 15 different types of cancer, with a median age of 56. Out of these, 2490 (48.7%) were male. The prevalence of cancer cachexia based on the Fearon criteria was 26.5%, ranging from 21.8% to 32.2% with the six modified criteria. Following adjustment for age, sex, clinical stage and cancer site, cachexia defined by Fearon criteria was associated with a noteworthy increase in mortality (HR, 1.275; 95% CI, 1.136-1.430; p < 0.001), ranging from 1.237 (95% CI, 1.106-1.383; p < 0.001) to 1.382 (95% CI, 1.226-1.557; p < 0.001) by the six modified criteria. All six modified criteria presented adequate performance indicators (all p < 0.001), with sensitivity ranging from 82.4% (95% CI, 80.2%-84.3%) to 90.7% (95% CI, 89.0%-92.2%), specificity ranging from 86.9% (95% CI, 85.7%-87.9%) to 100.0% (95% CI, 99.9%-100.0%) and AUC ranging from 0.860 (95% CI, 0.850-0.869) to 0.932 (95% CI, 0.925-0.939). The modified criteria also showed strong (Fearon criteria with NLR: κ = 0.673, 95% CI, 0.651-0.695) to almost perfect (Fearon criteria without reduced muscle mass [RMM]: κ = 0.873, 95% CI, 0.857-0.888) consistency with the original Fearon criteria.

conclusionsCachexia defined by the Fearon criteria and the six modified criteria can predict the survival of cancer patients. All criteria provided a precise diagnosis and were feasible to use in clinical settings.

Indexed as

CachexiaNeoplasmsAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedMuscle, Skeletalcancer cachexiaFearonmortalitymuscle massneutrophil‐to‐lymphocyte ratio

Identifiers

PMID39949111
PMCPMC11825978

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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.