Evidence map›Paper›PMID 41141441›Full record

ArticleOpen forum infectious diseases2025

Mapping the Geographic Distribution of Dimorphic Mycoses Using a US Commercial Insurance Database.

Reid Goodman, Adriana M Rauseo, Samuel L Windham, Julio C Zuniga-Moya, William G Powderly, Andrej Spec, Patrick B Mazi

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
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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.

Reid GoodmanDivision of Infectious Diseases, Department of Medicine, Washington University in St Louis School of Medicine, St Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-7118-6100
Adriana M RauseoDivision of Infectious Diseases, Department of Medicine, Washington University in St Louis School of Medicine, St Louis, Missouri, USA.ORCID https://orcid.org/0000-0001-9555-2550
Samuel L WindhamDivision of Infectious Diseases, Department of Medicine, Kansas University School of Medicine, Kansas City, Kansas, USA.
Julio C Zuniga-MoyaDivision of Infectious Diseases, Department of Medicine, Washington University in St Louis School of Medicine, St Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-8561-5463
William G PowderlyDivision of Infectious Diseases, Department of Medicine, Washington University in St Louis School of Medicine, St Louis, Missouri, USA.
Andrej SpecDivision of Infectious Diseases, Department of Medicine, Washington University in St Louis School of Medicine, St Louis, Missouri, USA.ORCID https://orcid.org/0000-0001-7612-4710
Patrick B MaziDivision of Infectious Diseases, Department of Medicine, Washington University in St Louis School of Medicine, St Louis, Missouri, USA.ORCID https://orcid.org/0000-0003-4123-0518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The dimorphic mycoses (DMs) histoplasmosis, blastomycosis, and coccidioidomycosis are classically thought to be geographically restricted to specific regions of the United States. The current scientific consensus is that these geographic boundaries are expanding, but the extent of this expansion remains uncertain. Methods: This study is a retrospective analysis of >21 million (annually) commercially insured individuals within the United States during 2007-2016. Diagnosis of histoplasmosis, coccidioidomycosis, and blastomycosis were identified using Results: There were 37 513 histoplasmosis, 14 987 coccidioidomycosis, and 2207 blastomycosis diagnoses during 2007-2016 within 387 Metropolitan Statistical Areas. DMs were consistently diagnosed outside their historical hyperendemic regions. Conclusions: New diagnoses of histoplasmosis, coccidioidomycosis, and blastomycosis were routinely made outside their historically defined regions of endemicity. While exposure to hyperendemic regions remains a risk factor for developing a DM infection, clinicians should consider testing any patient presenting with a compatible clinical syndrome, regardless of their geographic history. Increased suspicion of DM infection will lead to fewer missed or delayed diagnoses, thereby improving patient outcomes.

Indexed as

blastomycosiscoccidioidomycosisdimorphicendemic mycoseshistoplasmosis

Identifiers

PMID41141441
PMCPMC12548790

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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.