Risk factor analysis and development of a nomogram prediction model for Plasma Cell Mastitis

Nipple retraction, recent trauma history, and the number of pregnancies were identified as independent risk factors for PCM. Targeted education for high-risk groups, particularly women within 3 years postpartum/post-abortion, improves disease prevention. The nomogram model had a C-index of 0.809, indicating strong discriminatory power and high prediction accuracy.

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Journal
PLoS ONE
Published
2025-12-09
DOI
https://doi.org/10.1371/journal.pone.0338711
Primary Topic
Breast Lesions and Carcinomas
Type
article
Field-Weighted Citation Impact
0.00
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article

Risk factor analysis and development of a nomogram prediction model for Plasma Cell Mastitis

Ruonan Xu, Wenhui Wang, Feng Zhang, Xiaowen Ma et al.
PLoS ONE
Breast Lesions and Carcinomas
article

Risk factor analysis and development of a nomogram prediction model for Plasma Cell Mastitis

Ruonan Xu, Wenhui Wang, Feng Zhang, Xiaowen Ma, Yiming Sun
article en

Abstract

Nipple retraction, recent trauma history, and the number of pregnancies were identified as independent risk factors for PCM. Targeted education for high-risk groups, particularly women within 3 years postpartum/post-abortion, improves disease prevention. The nomogram model had a C-index of 0.809, indicating strong discriminatory power and high prediction accuracy.

PLoS ONEVol. 20(12)
Zhangqiu City People's Hospital (CN), Tongde Hospital of Zhejiang Province (CN), Hangzhou Women’s Hospital (CN)
Openalex Percentile: Top 45%
Breast Lesions and Carcinomas
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Risk factor analysis and development of a nomogram prediction model for Plasma Cell Mastitis — Ruonan Xu, Wenhui Wang, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS