Evidence map›Paper›PMID 39958553›Full record

ArticleWorld journal of gastrointestinal oncology2025

Development and validation of a nomogram prediction model for overall survival in patients with rectal cancer.

Ling Liang, Xiao-Sheng Li, Ze-Jun Huang, Zu-Hai Hu, Qian-Jie Xu, Yu-Liang Yuan, Wei Zhang, Hai-Ke Lei

Abstract read
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Article in World journal of gastrointestinal oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ling LiangChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing 400030, China.
Xiao-Sheng LiChongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China.
Ze-Jun HuangChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing 400030, China.
Zu-Hai HuDepartment of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Qian-Jie XuChongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China.
Yu-Liang YuanChongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China.
Wei ZhangChongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China.
Hai-Ke LeiChongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China. tohaike@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRectal cancer is prevalent and associated with substantial morbidity and mortality.

aimTo develop a nomogram prediction model for overall survival (OS) in patients with rectal cancer by leveraging a comprehensive analysis of demographic, clinicopathological, haematological, and follow-up data to identify independent prognostic factors.

methodsWe conducted a prospective cohort study in China involving rectal cancer patients and applied Cox regression and least absolute shrinkage and selection operator regression to assess the significance of various variables as independent prognostic factors for OS. The identified factors were integrated into a nomogram model, which was evaluated for predictive accuracy

resultsMultivariate analysis revealed independent predictors of OS, including the Karnofsky performance status, age, sex, TNM stage, chemotherapy, surgery, targeted therapy, β2-microglobulin, lactate dehydrogenase, and the neutrophil-to-lymphocyte ratio. The nomogram demonstrated a C-index of 0.80 for the training and validation cohorts, with AUC values indicating high predictive accuracy for 1-year, 3-year, and 5-year OS. The calibration curves confirmed the model's excellent agreement with the observed survival rates, and DCA revealed the superior clinical utility of the nomogram over the TNM staging system.

conclusionIn this study, a novel prognostic model that accurately predicts the OS of rectal cancer patients was developed. The model exhibited excellent discriminatory and calibration capabilities, thus offering a reliable tool for health care professionals to estimate patient survival.

Indexed as

NomogramOverall survivalPrognosisRectal cancer

Identifiers

PMID39958553
PMCPMC11755992

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