Evidence map›Paper›PMID 40075120›Full record

ArticleScientific reports2025

A cohort study of prolactin and non-puerperal mastitis using real world data.

Yulian Yin, Haoxin Le, Yifan Cheng, Yuanyuan Zhong, Yiqin Cheng, Bing Wang, Jingjing Wu, Meina Ye, Hongfeng Chen

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

9 authors.

Yulian Yin *Department of Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Haoxin Le *Copenhagen Centre for Regulatory Science, University of Copenhagen, Copenhagen, Denmark.
Yifan Cheng *Department of Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yuanyuan ZhongDepartment of Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yiqin ChengDepartment of Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Bing WangDepartment of Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jingjing WuDepartment of Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Meina YeDepartment of Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China. yemeina2002@126.com.
Hongfeng ChenDepartment of Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China. chhfluk2068@163.com.

Funding

National Natural Science Foundation of China 82104854Science and Technology Innovation Plan Of Shanghai Science and Technology Commission 20YF1449800Shanghai Shenkang Hospital Development Center SHDC2020CR2051B
6 · The paper itself

Abstract

Non-puerperal mastitis (NPM) is an umbrella term for non-specific inflammatory mastitis that occurs during the non-puerperal period and has an unclear aetiology. The current study aims to characterize NPM patients and examine the determinants associated with NPM severity. This study analyzed the NPM inpatients admitted to the Department of Breast Surgery, Longhua Hospital Affiliated with the Shanghai University of Traditional Chinese Medicine from 2016 to 2020. We explored NPM patient characteristics through demographics, physical risks, lab tests, and medical history indicators. Multivariable logistic regression was conducted to identify the relationship between the prolactin (PRL) level and NPM severity stratified by breast structure. The majority of NPM inpatients had normal breast structures and were of lower average age than those with congenital nipple deformity (p = 0.002). Significant positive risk (p < 0.001) association between PRL level and NPM severity was observed among NPM inpatients with normal breast structure in both crude and adjusted models (adjusted OR: 2.91; 95%CI:1.88-4.52), with younger age as a protective factor (OR:0.94; 95%CI:0.91-0.97) and smoking history as a risk factor (OR:2.22; 95%CI:1.22-4.05). For NPM patients with nipple deformity, increasing odds of NPM severity regarding higher PRL level was observed while the result is not statistically significant at 0.05 level. (OR: 2.17; 95%CI: 0.94-5.03). The risk of NPM severe episodes is higher among patients with higher PRL levels, of which the association is stronger for NPM patients with normal breast structure, implying different pathogenesis between NPM patients with varied breast anatomy. Disagreement of the interaction effect testification indicates an improvement window for the current study.Trial registration: ChiCTR2000035929. Registered 20 August 2020(retrospectively registered).

Indexed as

MastitisProlactinAdultBreastChinaCohort StudiesFemaleHumansMiddle AgedRisk FactorsSeverity of Illness IndexYoung AdultProlactinBinomial logistic regressionNipple deformityNon-puerperal mastitisProlactinReal-world data

Identifiers

PMID40075120
PMCPMC11903873

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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.