Evidence map›Paper›PMID 36166843›Full record

ArticleMedical mycology2022

Natural history of pulmonary coccidioidomycosis: Further examination of the VA-Armed Forces Database.

Joseph Shemuel, Derek J Bays, George R Thompson, Susan Reef, Linda Snyder, Alana J Freifeld, Milt Huppert, David Salkin, Machelle D Wilson, John N Galgiani

Open access · bronzeAbstract read
In one paragraph

Article in Medical mycology, 2022. 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
1.4field-weighted citation impact, top 19% of its field
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, 9 citations in OpenAlex.

  1. Valley Fever in Central California: Diagnosis is Not the Finish Line, the Real Gap is Longitudinal Care.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  2. The Prevalence and Drug Susceptibility ofAntibiotics (Basel, Switzerland) · 2025
    Article
  3. Overview of the Current Challenges in Pulmonary Coccidioidomycosis.Journal of fungi (Basel, Switzerland) · 2024
    Review
  4. Article
  5. Article
  6. Review
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

10 authors at 5 institutions in 1 country.

Joseph ShemuelSchool of Medicine, University of California, San Francisco, San Francisco, California, USA.
Derek J BaysDepartment of Internal Medicine, Division of Infectious Diseases, University of California, Davis Health, Sacramento, California, USA.
George R ThompsonDepartment of Internal Medicine, Division of Infectious Diseases, University of California, Davis Health, Sacramento, California, USA.ORCID 0000-0001-8518-5750
Susan ReefCenters for Disease Control and Prevention, Atlanta, Georgia, USA.
Linda SnyderDepartment of Internal Medicine, Division of Pulmonary/Critical Care and Palliative Medicine, University of Arizona-Tucson, Tucson, Arizona, USA.
Alana J FreifeldDepartment of Internal Medicine, University of Colorado, Boulder, Colorado, USA.
Milt HuppertDeceased.
David SalkinDeceased.
Machelle D WilsonDepartment of Public Health Sciences, Division of Biostatistics, Clinical and Translational Science Center, University of California Davis, Sacramento, California, USA.
John N GalgianiValley Fever Center for Excellence, University of Arizona College of Medicine-Tucson, Tucson, Arizona, USA.
University of California, Davis · USUniversity of Arizona · USCenters for Disease Control and Prevention · USUniversity of California, San Francisco · USUniversity of Colorado Boulder · US

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
UC Davis Environmental Health Sciences Core CenterP30ES023513 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Nicholas J. KENYON · 2015 to 2026
$26.0M
NCATS NIH HHS UL1 TR001860NIEHS NIH HHS P30 ES023513NIH HHS UL1 TR001860
6 · The paper itself

Abstract

There are still many limitations related to the understanding of the natural history of differing forms of coccidioidomycosis (CM), including characterizing the spectrum of pulmonary disease. The historical Veterans Administration-Armed Forces database, recorded primarily before the advent of antifungal therapy, presents an opportunity to characterize the natural history of pulmonary CM. We performed a retrospective cohort study of 342 armed forces service members who were diagnosed with pulmonary CM at VA facilities between 1955 to 1958, followed through 1966, who did not receive antifungal therapy. Patients were grouped by predominant pulmonary finding on chest radiographs. The all-cause mortality was low for all patients (4.6%). Cavities had a median size of 3-3.9 cm (IQR: 2-2.9-4-4.9 cm), with heterogeneous wall thickness and no fluid level, while nodules had a median size of 1-1.19 cm (Interquartile range [IQR] 1-1.9-2-2.9 cm) and sharp borders. The majority of cavities were chronic (85.6%), and just under half were found incidentally. Median complement fixation titers in both the nodular and cavitary groups were negative, with higher titers in the cavitary group overall. This retrospective cohort study of non-disseminated coccidioidomycosis, the largest to date, sheds light on the natural history, serologic markers, and radiologic characteristics of this understudied disease. These findings have implications for the evaluation and management of CM.

Indexed as

CoccidioidomycosisAnimalsAntifungal AgentsRadiographyRetrospective StudiesAntifungal Agentscavitary coccidioidomycosisnodular coccidioidomycosisPulmonary coccidioidomycosis

Identifiers

PMID36166843
PMCPMC9614921
OpenAlexW4297207138

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.