Evidence map›Paper›PMID 39353413›Full record

ArticleThe American journal of tropical medicine and hygiene2024

Nonlactational Mastitis in Western Brazilian Amazon Mastitis Cases.

Michel de Araujo Tavares, Marcelo Cordeiro Dos Santos, Vinicius da Silva Monteiro, Ryan Antônio de Lucena Almeida, Hilka Flávia Barra do Espirito Santos Alves Pereira, Simone Ferreira de Castro Botileiro, Victor Costa Morais Oliveira, Marcus Vinícius Guimarães de Lacerda, René Aloisio da Costa Vieira

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Article in The American journal of tropical medicine and hygiene, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Michel de Araujo TavaresPrograma de Pós-Graduação em Tocoginecologia, Faculdade de Medicina de Botucatu, Universidade Estadual Paulista Júlio de Mesquita Filho, Botucatu, Brazil.
Marcelo Cordeiro Dos SantosFundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil.
Vinicius da Silva MonteiroFundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil.
Ryan Antônio de Lucena AlmeidaFaculdade de Medicina, Universidade Federal do Amazonas, Manaus, Brazil.
Hilka Flávia Barra do Espirito Santos Alves PereiraPrograma de Pós-Graduação em Tocoginecologia, Faculdade de Medicina de Botucatu, Universidade Estadual Paulista Júlio de Mesquita Filho, Botucatu, Brazil.
Simone Ferreira de Castro BotileiroFundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil.
Victor Costa Morais OliveiraFundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil.
Marcus Vinícius Guimarães de LacerdaFundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil.
René Aloisio da Costa VieiraPrograma de Pós-Graduação em Tocoginecologia, Faculdade de Medicina de Botucatu, Universidade Estadual Paulista Júlio de Mesquita Filho, Botucatu, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic mastitis varies in etiology between its lactational and nonlactational forms and can be challenging to diagnose. This study aimed to assess the epidemiological profile and diverse etiologies of nonlactational mastitis in Amazonas, Brazil, focusing on distinguishing between tuberculous mastitis (TM) and idiopathic granulomatous mastitis (IGM). This is a retrospective and prospective study that was carried out at the mastitis outpatient clinic of Fundação de Medicina Tropical Doutor Heitor Vieira Dourado from 2013 to 2021 and evaluated epidemiological data, imaging, and laboratory tests. Descriptive statistics were performed. In this retrospective and prospective analysis, 124 medical records were initially considered, with 12 excluded for various reasons. The remaining 112 cases underwent thorough evaluation through epidemiological data, imaging, and laboratory tests, by employing descriptive statistics for analysis. The pathology revealed a predominant prevalence of IGM (64.3%), followed by various forms of mastitis, including confirmed TM (4.5%), presumable TM (8.9%), and others. Our findings indicate that IGM, though a rare cause of breast masses and abscesses, accounts for a significant portion of mastitis cases. Histopathological studies were essential for diagnosis, with ultrasound being the primary imaging tool. This study is one of the largest Brazilian series on nonlactational mastitis, highlighting the condition's complexity and diverse manifestations in the Amazon region.

Indexed as

MastitisAdultBrazilFemaleGranulomatous MastitisHumansMiddle AgedPrevalenceProspective StudiesRetrospective StudiesTuberculosisYoung Adult

Identifiers

PMID39353413
PMCPMC11619513

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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.