Evidence map›Paper›PMID 40900419›Full record

ArticleDiscover oncology2025

Analysis of risk factors associated with recurrence of granulomatous lobular mastitis and establishment of a prediction model.

Boyu Shang, Tianyi Zhang, Chang Liu, Zonglin Yuan, Yao Wang, Jing Feng, Yi Zhou

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PubMed Full text at PMC Publisher
In one paragraph

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Boyu ShangDepartment of Breast Surgery, The First Affiliated Hospital of Harbin Medical University, No. 23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Tianyi ZhangDepartment of Breast Surgery, The First Affiliated Hospital of Harbin Medical University, No. 23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Chang LiuDepartment of Breast Surgery, The First Affiliated Hospital of Harbin Medical University, No. 23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Zonglin YuanDepartment of Breast Surgery, The First Affiliated Hospital of Harbin Medical University, No. 23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Yao WangDepartment of Breast Surgery, The First Affiliated Hospital of Harbin Medical University, No. 23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Jing FengDepartment of Breast Surgery, The First Affiliated Hospital of Harbin Medical University, No. 23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang, China. fengjing256@163.com.
Yi ZhouDepartment of Breast Surgery, The First Affiliated Hospital of Harbin Medical University, No. 23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang, China. lubj2001@163.com.

Funding

Natural Science Foundation of Heilongjiang Province of China YQ2020H012the China Postdoctoral Science Foundation 2020M670927the Heilongjiang Province Postdoctoral Fund LBH-Z19171the Research and Innovation Fund of the First Affiliated Hospital of Harbin Medical University 2020B12
6 · The paper itself

Abstract

objectivesTo explore the risk factors that are associated to the recurrence of granulomatous lobular mastitis (GLM) after treatment and to develop a nomogram model that can predict the risk of recurrence.

methodsMedical records and follow-up data from GLM patients treated at our facility were retrospectively analyzed. In order to identify independent risk factors for GLM recurrence, the patients were split into groups with and without recurrence using univariate and multivariate logistic regression analyses. A predictive nomogram model was built using these variables, and its performance was evaluated by plotting the calibration curve, receiver operating characteristic (ROC), area under the curve (AUC), and decision curve analysis (DCA) curves.

resultsWe evaluated the data of 287 GLM patients, of which 36 patients (12.5%) experienced recurrence, while the remaining 251 patients (87.5%) were included in the non-recurrence group. The affected side's nipple discharge was detected using multivariate logistic regression, nipple inversion on the affected side, surgical treatment, and younger age as the independent risk factors for recurrence (P < 0.05). The model had an AUC of 0.805 (95% CI: 0.737-0.872), 81.7% sensitivity, and 66.7% specificity. The calibration curve was consistent with the ideal curve, and the DCA indicated good clinical utility of the model.

conclusionIndependent risk factors for GLM recurrence include younger age, surgical treatment, nipple discharge on the affected side, and nipple inversion on the affected side. The nomogram based on these factors demonstrated good predictive value for GLM recurrence.

Indexed as

Granulomatous lobular mastitisPrediction modelRecurrence risk factorsROC curve

Identifiers

PMID40900419
PMCPMC12408445

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