Evidence map›Paper›PMID 38913246›Full record

ArticleEuropean radiology2024

Serum tumor marker and CT body composition scoring system predicts outcomes in colorectal cancer surgical patients.

Mingming Song, Zhihao Liu, Feihong Wu, Tong Nie, Yixin Heng, Jiaxin Xu, Ning Huang, Xiaoyu Wu, Yinghao Cao, Gang Hu

Abstract read
In one paragraph

Article in European radiology, 2024. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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  4. BMI and Breast Subcutaneous Fat: Potential Indicators for Ultrasound Diagnosis of Breast Cancer?Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026
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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Mingming Song *Department of General Surgery, The Second People's Hospital of Hefei Affiliated to Bengbu Medical University, Hefei, 230011, China.
Zhihao Liu *China Medical University, Shenyang, 110122, China.
Feihong Wu *Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Tong NieDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Yixin HengDepartment of General Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, P.R. China.
Jiaxin XuDepartment of General Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, P.R. China.
Ning HuangDepartment of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Xiaoyu WuDepartment of General Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, P.R. China.
Yinghao CaoCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. yinghaocao@hust.edu.cn.
Gang HuDepartment of General Surgery, The Second People's Hospital of Hefei Affiliated to Bengbu Medical University, Hefei, 230011, China. hukeyu@foxmail.com.ORCID http://orcid.org/0009-0003-2544-3780

Funding

China Postdoctoral Science Foundation 2023M731216National Local Joint Laboratory for Advanced Textile Processing and Clean Production No. FX20230015
6 · The paper itself

Abstract

objectiveTo investigate the prognostic value of preoperative body composition and serum tumor markers (STM) in patients undergoing surgical treatment for colorectal cancer (CRC) and to establish the prognostic score for patients with CRC.

methodsThis study enrolled 365 patients (training set 245, validation set 120) with CRC who underwent surgical resection. The predictive value of various body composition features and STM for determining CRC prognosis were compared. A novel index score based on the independent risk factors from Cox regression for CRC patients was established and evaluated for its usefulness.

resultsMultivariate Cox regression showed that low skeletal muscle radiodensity (SMD) (p = 0.020), low subcutaneous fat area (SFA) (p = 0.029), high carcinoembryonic antigen (CEA) (p = 0.008), and high alpha-fetoprotein (AFP) (p = 0.039) were all independent prognostic factors for poor overall survival (OS). The multifactorial analysis indicated that high intermuscular fat area (IMFA) (p = 0.033) and high CEA (p = 0.009) were independent prognostic factors for poor disease-free survival (DFS). Based on these findings, two scoring systems for OS and DFS were established in the training datasets. CRC patients who scored higher on the new scoring systems had lower OS and DFS (both p < 0.001) as shown in the Kaplan-Meier survival curves in the training and validation datasets.

conclusionIn predicting the prognosis of CRC patients, SFA and SMD are superior to other body composition measurements. A scoring system based on body composition and STM can have prognostic value and clinical applicability. CLINICAL RELEVANCE STATEMENT: This scoring system, combining body composition and serum tumor markers, may help predict postoperative survival of CRC patients and help clinicians make well-informed decisions regarding the treatment of patients. KEY POINTS: Colorectal cancer prognosis can be related to body composition. High intermuscular fat area and CEA were independent prognostic factors for poor disease-free survival. This scoring system, based on body composition and tumor markers, can prognosticate for colorectal cancer patients.

Indexed as

Biomarkers, TumorBody CompositionCarcinoembryonic AntigenColorectal NeoplasmsTomography, X-Ray ComputedAdultAgedalpha-FetoproteinsFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRisk Factorsalpha-FetoproteinsBiomarkers, TumorCarcinoembryonic AntigenBody compositionColorectal cancerComputed tomographyDisease-free survivalOverall survival

Identifiers

PMID38913246
PMCPMC11557714

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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.