Evidence map›Paper›PMID 36880286›Full record

ArticleJournal of cachexia, sarcopenia and muscle2023

Development and validation of a cancer cachexia risk score for digestive tract cancer patients before abdominal surgery.

Shanjun Tan, Jiahao Xu, Junjie Wang, Zhige Zhang, Shuhao Li, Mingyue Yan, Min Tang, Hao Liu, Qiulin Zhuang, Qiulei Xi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Multimodal AI-driven Biomarker for Early Detection of Cancer Cachexia.medRxiv : the preprint server for health sciences · 2025
    Article
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  7. 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

13 authors at 3 institutions in 1 country.

Shanjun TanDepartment of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Jiahao XuDepartment of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Junjie WangDepartment of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhige ZhangDepartment of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Shuhao LiDepartment of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Mingyue YanDepartment of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Min TangDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Hao LiuDepartment of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Qiulin ZhuangDepartment of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Qiulei XiDepartment of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Qinyang MengDepartment of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Yi JiangDepartment of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Guohao WuDepartment of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Fudan University · CNZhongshan Hospital · CNSun Yat-sen University · CN

Funding

Clinical Research Special Fund of Zhongshan Hospital, Fudan University 2020ZSLC17Clinical Research Special Fund of Zhongshan Hospital, Fudan University 2020ZSLC53Excellent Young Program of Zhongshan Hospital, Fudan University 2021ZSYQ14Shanghai 'Rising Stars of Medical Talent' Youth Development Program [2022]65
6 · The paper itself

Abstract

backgroundCancer cachexia is prevalent in digestive tract cancer patients and has significant impacts on prognosis; it is vital to identify individuals who are at risk of cancer cachexia to allow for appropriate evaluation and treatment. This study evaluated whether digestive tract cancer patients with a risk of cancer cachexia and who had a risk of adverse survival could be identified before abdominal surgery.

methodsThis large-scale cohort study involved patients who underwent abdominal surgery between January 2015 and December 2020 to treat digestive tract cancer. Participants were allocated to the development cohort, the validation cohort, or the application cohort. Univariate and multivariate analyses of the development cohort were performed to detect distinct risk variables for cancer cachexia to create a cancer cachexia risk score. The performance of the risk score across all the three cohorts was assessed through calculating the area under the receiver operating characteristic curve (AUC), as well as calibration and decision curves. We tested how well the score predicted survival outcomes in the application cohort.

resultsA total of 16 264 patients (median 64 years of age; 65.9% male) were included, with 8743 in the development cohort, 5828 in the validation cohort, and 1693 in the application cohort. Seven variables were identified as independent predictive factors and were included in the cancer cachexia risk score: cancer site, cancer stage, time from symptom onset to hospitalization, appetite loss, body mass index, skeletal muscle index, and neutrophil-lymphocyte ratio. The risk score predicting cancer cachexia owns a good discrimination, with the mean AUC of 0.760 (P < 0.001) in the development cohort, 0.743 (P < 0.001) in the validation cohort, and 0.751 (P < 0.001) in the application cohort, respectively, and had an excellent calibration (all P > 0.05). The decision curve analysis revealed net benefits of the risk score across a range of risk thresholds in the three cohorts. In the application cohort, compared with the high-risk group, the low-risk group experienced significantly longer overall survival [hazard ratio (HR) 2.887, P < 0.001] as well as relapse-free survival (HR 1.482, P = 0.01).

conclusionsThe cancer cachexia risk score constructed and validated demonstrated good performance in identifying those digestive tract cancer patients before abdominal surgery at a higher risk of cancer cachexia and unfavourable survival. This risk score can help clinicians to enhance their capabilities to screen for cancer cachexia, assess patient prognosis, and strengthen early decision-making on targeted approaches to attune cancer cachexia for digestive tract cancer patients before abdominal surgery.

Indexed as

CachexiaGastrointestinal NeoplasmsCohort StudiesFemaleHumansMaleRisk FactorsCancer cachexiaDigestive tract cancerPredictionPrognosisSurgery

Identifiers

PMID36880286
PMCPMC10067494
OpenAlexW4323348641

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.