Evidence map›Paper›PMID 39878794›Full record

ArticleDiscover oncology2025

Developing a novel model for predicting overall survival in late-onset colon adenocarcinoma patients based on LODDS: a study based on the SEER database and external validation.

Chen Chen, Heng-Bo Xia, Wei-Wei Yuan, Meng-Ci Zhou, Xue Zhang, A-Man Xu

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Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 citing papers in PubMed.

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5 · Who and what money

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6 authors.

Chen Chen *Department of General Surgery, Anhui Public Health Clinical Center, Hefei, 230000, China.
Heng-Bo Xia *Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230000, China.
Wei-Wei Yuan *Department of General Surgery, Anhui Public Health Clinical Center, Hefei, 230000, China.
Meng-Ci ZhouDepartment of Interventional Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Xue ZhangDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230000, China.
A-Man XuDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230000, China. xuaman@ahmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo construct a predictive model based on the LODDS stage established for patients with late-onset colon adenocarcinoma to enhance survival stratification.

methodsLate-onset colon adenocarcinoma data were obtained from the public database. After determining the optimal LODDS truncation value for the training set via X-tile software, we created a new staging system by integrating the T stage and M stage. Nomograms of the prognostic model were created after Cox analyses identified independent risk factors for overall survival (OS) and cause-specific survival (CSS) and were validated internally and externally. The efficacy of the nomograms was assessed by calibration, time-dependent area under the curve (AUC) and decision curve analysis (DCA). Finally, the prognoses of the patients were compared by plotting survival curves on the basis of risk scores.

resultsA total of 103,291 and 100 patients with late-onset colon adenocarcinoma (50-80 years old) were screened from the Surveillance, Epidemiology, and End Results (SEER) and The Cancer Genome Atlas (TCGA) databases, respectively. Cox regression analysis revealed independent risk factors for OS and CSS, including age, gender, race, size, LODDS stage, PLN stage, LNR stage, and TNM stage. A comparison of the four models constructed on the basis of different stages revealed that the model constructed with the LODDS stage had the minimum AIC (Akaike information criterion), maximum C-index (concordance index) and time-dependent AUC. Nomograms based on the LODDS stage were constructed and successfully validated for accuracy and clinical utility.

conclusionFor patients with late-onset colon adenocarcinoma, LODDS may achieve optimal predictive performance. Furthermore, compared to the 8th edition of the AJCC classification system, the nomogram based on LODDS stage may demonstrate superior survival prediction capabilities.

Indexed as

Cause-specific survivalLate-onset colon adenocarcinomaLODDSOverall survivalPrognostic model

Identifiers

PMID39878794
PMCPMC11780043

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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.