Evidence map›Paper›PMID 41874127›Full record

ArticleEuropean journal of breast health2026

Pittsburgh Classification and Treatment Algorithm for Idiopathic Granulomatous Mastitis: A Multicenter Cohort Study.

Atilla Soran, Merve Tokoçin, Hüseyin Özgür Aytaç, Mehmet Ali Nazlı, Serdar Özbaş, Banu Yiğit, Ellen B Mendelson, Wendie A Berg

Abstract read
In one paragraph

Article in European journal of breast health, 2026. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Atilla SoranBreast Surgery Unit, Department of Surgery, Magee-Womens Hospital Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-3398-7230
Merve TokoçinBreast Health Working Group International (BHWGI).ORCID 0000-0001-8040-300X
Hüseyin Özgür AytaçBreast Health Working Group International (BHWGI).ORCID 0000-0002-3583-9282
Mehmet Ali NazlıBreast Health Working Group International (BHWGI).ORCID 0000-0003-4605-7822
Serdar ÖzbaşBreast Health Working Group International (BHWGI).ORCID 0000-0002-8019-8015
Banu YiğitBreast Health Working Group International (BHWGI).ORCID 0000-0001-7606-9352
Ellen B MendelsonDepartment of Radiology, Feinberg School of Medicine, Northwestern University School of Medicine, Chicago, USA.ORCID 0000-0003-3726-554X
Wendie A BergDepartment of Radiology, University of Pittsburgh School of Medicine, Magee-Womens Hospital of UMPC, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-8792-6185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Idiopathic granulomatous mastitis (IGM) is a rare inflammatory breast condition lacking standardized treatment and with unpredictable outcomes. To address these issues, using clinical and ultrasound findings from an initial subset, we created the Pittsburgh Classification to stratify severity and developed a corresponding treatment algorithm for IGM, then evaluated its effectiveness in a larger cohort of IGM patients. Materials and Methods: This retrospective multicenter study reviewed clinical and sonographic findings and outcomes of women with biopsy-proven IGM treated at multiple breast centers between 2020 and 2025. The Pittsburgh clinical classification ranges from Type 1 (minimal skin irritation) to Type 5 (widespread involvement); ultrasound classification spans Type A (localized mass ≤2 cm) to Type D (diffuse disease). Treatments were assessed utilizing the Pittsburgh algorithm, with responses classified as full response (CR), near-complete response (nCR), or no response (NR). Chi-square tests assessed associations ( Results: Of 522 patients included (mean age 37.0±8.8 years), 86.4% ( Conclusion: Concordance with the proposed IGM treatment algorithm based on clinical and ultrasound findings resulted in significantly higher CR rates. Multiple foci and stratified clinical types correlated with outcomes. Prospective global research is needed to validate these findings.

Indexed as

algorithmclassificationgranulomatousIdiopathicmastitis

Identifiers

PMID41874127
PMCPMC13011156

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.