Evidence map›Paper›PMID 39794778›Full record

ArticleEuropean journal of medical research2025

High-risk factors and predictive models for hemorrhagic chronic radiation proctitis.

Zhongli Liao, Xiaogang Hu, Liuling Hu, Jian Yang

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Article in European journal of medical research, 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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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Gut microbes · 2026
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zhongli LiaoDepartment of Clinical Nutrition, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID http://orcid.org/0000-0001-7818-0126
Xiaogang HuDepartment of Pharmacy, Jiulongpo People's Hospital, Chongqing, China.ORCID http://orcid.org/0000-0002-0253-5418
Liuling HuDepartment of Gastroenterology, Chongqing University Cancer Hospital, Chongqing, China.ORCID http://orcid.org/0000-0002-9636-5156
Jian YangDepartment of Clinical Nutrition, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China. jianyang@hospital.cqmu.edu.cn.ORCID http://orcid.org/0000-0003-2954-758X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHemorrhagic chronic radiation proctitis (CRP) is a common and challenging complication after pelvic radiation therapy. Identifying high-risk factors, predicting its occurrence, and optimizing radiotherapy plans are key to preventing hemorrhagic CRP. This study retrospectively examined potential risk factors and developed a nomogram to predict its onset.

methodsThis retrospective study included cervical carcinoma patients who received pelvic radiotherapy at Chongqing University Cancer Hospital from March 2014 to December 2021. Hemorrhagic CRP was diagnosed by colonoscopy. Logistic regression identified factors for a nomogram model, which was evaluated using ROC curve, calibration curve, and decision curve analysis.

resultsAmong 221 patients, 125 were diagnosed with hemorrhagic CRP, occurring at a median of 14.45 months after pelvic radiotherapy. Age (≥ 54 years), weight (< 52 kg), and radiation dose (≥ 72 Gy) were identified as risk factors. A nomogram was developed, with AUC values of 0.741 and 0.74 in the training and validation cohorts. Decision and clinical impact curves showed the model's benefit over a probability range of 0.25 to 0.85 in both sets.

conclusionIn this study, we constructed and developed a nomogram for predicting hemorrhagic CRP risk. The good results in calibration curves, ROC curve analysis, and decision curves indicated that the nomogram had promise for clinical application. It may serve as a reference for radiologists in designing radiotherapy plan to help mitigate the risk of hemorrhagic CRP.

Indexed as

Gastrointestinal HemorrhageProctitisRadiation InjuriesUterine Cervical NeoplasmsAdultAgedChronic DiseaseFemaleHumansMiddle AgedNomogramsRetrospective StudiesRisk FactorsROC CurveHigh-risk factorNomogramPelvic radiation therapyPredictive modelRadiation proctitis

Identifiers

PMID39794778
PMCPMC11724496

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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.