Evidence map›Paper›PMID 39678508›Full record

ArticleFrontiers in oncology2024

Establishment of a prognostic nomogram based on the clinical and inflammatory parameters as well as acute radiation enteritis for patients with cervical cancer receiving radiotherapy.

Jing Hu, Qianjin Shi, Xiaoqin Gong, Tao You, Chunhua Dai, Fei Chen

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Article in Frontiers in oncology, 2024. 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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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jing HuDepartment of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Qianjin ShiDepartment of Oncology, Siyang Hospital, Suqian, Jiangsu, China.
Xiaoqin GongDepartment of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Tao YouDepartment of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Chunhua DaiDepartment of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Fei ChenDepartment of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Acute radiation enteritis is one of the most common complications of radiotherapy for patients with cervical cancer. This study aims to investigate the effect of acute radiation enteritis on the prognosis of patients with cervical cancer receiving radiotherapy and to establish a nomogram predicting the patients' overall survival (OS). Methods: The clinical data of 288 patients with cervical cancer who were admitted to our department from 2014 to 2020 were retrospectively analyzed, and the survival of patients were followed up. The Kaplan-Meier method was used to calculate the survival rate and for univariate analysis, and the Cox regression model was used for multivariate prognostic analysis. A nomogram survival prediction model was established based on independent risk factors, and the concordance index (C-index), receiver operating characteristic (ROC) curve and calibration curve were used to evaluate the predictive accuracy of the model. The clinical applicability of the model was assessed by the decision curve. External validation of the nomogram prediction model was performed in 74 patients admitted to our hospital from 2020 to 2021. Results: 60 patients (20.8%) developed grade 2 or higher acute radiation enteritis. The 1-, 3-, and 5-year OS rates were 94.4%, 80.9%, and 77.4%, respectively. Multivariate Cox regression analysis showed that: Age ≥ 60 years, diabetes/hypertension, anemia, FIGO stage III-IV, poor differentiation, pelvic lymph node metastasis, NLR ≥ 2.54 and grade 2 or higher acute radiation enteritis were independent risk factors for OS in cervical cancer patients undergoing radiotherapy ( Conclusion: This study established an accurate predicting nomogram based on independent prognostic factors in cervical cancer patients receiving radiotherapy, and patients with grade 2 or higher acute radiation enteritis should be paid more attention to in clinical practice.

Indexed as

acute radiation enteritiscervical cancernomogramprognosisradiotherapy

Identifiers

PMID39678508
PMCPMC11638115

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