Evidence map›Paper›PMID 41766585›Full record

ArticleTurkish journal of surgery2026

Idiopathic granulomatous mastitis: A narrative review based on the Turkish consensus classification.

Mustafa Emiroğlu, Kerim Bora Yılmaz, Kenan Çetin, Mehmet Velidedeoğlu, Güldal Esendağlı, Yasemin Kayadibi, Murat Akın

Abstract read
In one paragraph

Article in Turkish journal of surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mustafa EmiroğluClinic of General Surgery, Gazi Hospital, İzmir, Türkiye.ORCID 0000-0002-4968-2570
Kerim Bora YılmazDepartment of General Surgery, University of Health Sciences Türkiye, Gülhane Faculty of Medicine, Ankara, Türkiye.ORCID 0000-0002-5514-4103
Kenan ÇetinDepartment of General Surgery, Çanakkale Onsekiz Mart University Faculty of Medicine, Çanakkale, Türkiye.ORCID 0000-0002-8616-9784
Mehmet VelidedeoğluDepartment of General Surgery, İstanbul University-Cerrahpaşa, Cerrahpaşa Faculty of Medicine, İstanbul, Türkiye.ORCID 0000-0002-0239-1717
Güldal EsendağlıDepartment of Pathology, Gazi University Faculty of Medicine, Ankara, Türkiye.ORCID 0000-0002-2680-1901
Yasemin KayadibiDepartment of Radiology, İstanbul University, İstanbul Faculty of Medicine, İstanbul, Türkiye.ORCID 0000-0003-1590-5382
Murat AkınDepartment of General Surgery, Gazi University Faculty of Medicine, Ankara, Türkiye.ORCID 0009-0006-5637-1734

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic granulomatous mastitis (IGM) is a rare, heterogeneous inflammatory breast disease lacking a universally accepted classification or a standardized management pathway. To provide a comprehensive narrative synthesis of the current literature on IGM and to contextualize the Turkish IGM clinical classification and treatment algorithm in relation to existing global evidence. A narrative literature review was conducted using PubMed, Scopus, Web of Science, and Google Scholar (2000-2025). Clinical, radiological, pathological, and therapeutic studies were examined. Previously published Turkish national consensus studies based on a modified Delphi process were incorporated into the synthesis. IGM remains diagnostically challenging due to its diverse presentations and overlap with malignancy. Existing global classification attempts are inconsistent and lack clinical practicality. The Turkish IGM clinical classification addresses these gaps by integrating lesion size, skin involvement, pregnancy/lactation categories, and extramammary findings. Treatment outcomes demonstrate the high efficacy of topical and intralesional steroids, the selective use of systemic immunosuppression, and the limited indications for surgery. The Turkish IGM classification and its associated treatment algorithm provide a practical, standardized framework that aligns with current evidence and may reduce overtreatment and mismanagement in IGM.

Indexed as

Breast diseasesclinical classificationconsensus studydifferential diagnosisidiopathic granulomatous mastitisimmunosuppressive agentssteroid therapytreatment algorithm

Identifiers

PMID41766585
PMCPMC12964092

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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.