Evidence map›Paper›PMID 41756563›Full record

ArticleInternational journal of women's health2026

Targeted Duct Excision Reduces Recurrence and Shortens Treatment Duration in Periductal Mastitis: A Retrospective Cohort Study.

Pin Wang, Ling Li, Ying Liu, Yushuya Shi, Xiangyu Zhang, Jian Wu

Abstract read
In one paragraph

Article in International journal of women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Pin WangDepartment of General Surgery, The Third People's Hospital of Chengdu, Chengdu, 610000, People's Republic of China.ORCID 0000-0001-6293-5280
Ling LiDepartment of Pathology, The Third People's Hospital of Chengdu, Chengdu, 610000, People's Republic of China.
Ying LiuDepartment of Ultrasound, The Third People's Hospital of Chengdu, Chengdu, 610000, People's Republic of China.
Yushuya ShiDepartment of Hepatobiliary and Breast/Thyroid Surgery, The Second People's Hospital of Jintang County, Chengdu, 610000, People's Republic of China.
Xiangyu ZhangDepartment of Hepatobiliary and Breast/Thyroid Surgery, The Second People's Hospital of Jintang County, Chengdu, 610000, People's Republic of China.
Jian WuDepartment of General Surgery, The Third People's Hospital of Chengdu, Chengdu, 610000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Periductal mastitis (PDM) is characterized by prolonged treatment and high recurrence, yet no large-scale study has identified its recurrence risk factors. Methods: A total of 150 treatment-naïve patients diagnosed with PDM at the Third People's Hospital of Chengdu from January 2019 to March 2025 were retrospectively included. Univariate and multivariate Cox regression analyses were used to identify factors associated with recurrence; Kaplan-Meier and log-rank tests assessed recurrence-free survival. Baseline patient characteristics, along with treatment duration, time to recurrence, and cosmetic outcomes, were systematically recorded. Results: Targeted duct excision was the only independent protective factor against recurrence (adjusted HR = 0.09, 95% CI: 0.04-0.20; Conclusion: In patients with PDM, targeted duct excision significantly reduces recurrence risk, shortens treatment duration, and preserves breast appearance, suggesting that this surgical approach should be considered as the primary treatment option for PDM.

Indexed as

Cox regression analysisperiductal mastitisrecurrencetargeted duct excision

Identifiers

PMID41756563
PMCPMC12932089

What OpenQuestion holds

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Registered trials

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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.