Evidence map›Paper›PMID 36107584›Full record

Observational studyMedicine2022

Impact of COVID-19 on diagnosis of primary pulmonary coccidioidomycosis.

Nikita Ashcherkin, Simran Gupta, Daniel A Huff, Holenarasipur R Vikram, Neil M Ampel, Karen M Fischer, Janis E Blair

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Coccidioidomycosis: a growing global concern.The Journal of antimicrobial chemotherapy · 2025
    Review
  3. 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

7 authors at 3 institutions in 1 country.

Nikita AshcherkinDepartment of Internal Medicine, Mayo Clinic School of Graduate Medical Education, Mayo Clinic College of Medicine and Science, Scottsdale, Arizona, USA.
Simran GuptaDepartment of Internal Medicine, Mayo Clinic School of Graduate Medical Education, Mayo Clinic College of Medicine and Science, Scottsdale, Arizona, USA.
Daniel A HuffDepartment of Internal Medicine, Mayo Clinic School of Graduate Medical Education, Mayo Clinic College of Medicine and Science, Scottsdale, Arizona, USA.
Holenarasipur R VikramDivision of Infectious Diseases, Mayo Clinic, Phoenix, Arizona, USA.
Neil M AmpelDivision of Infectious Diseases, Mayo Clinic, Phoenix, Arizona, USA.
Karen M FischerDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota, USA.
Janis E BlairDivision of Infectious Diseases, Mayo Clinic, Phoenix, Arizona, USA.ORCID 0000-0003-2267-14730000-0003-2267-1473
Mayo Clinic in Arizona · USWinnMed · USMayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has disrupted medical care worldwide and caused delays in care for many illnesses and procedures unrelated to COVID-19; however, less clear is how it may have affected diagnosis of conditions that present with similar symptoms, such as primary pulmonary coccidioidomycosis (PPC). We conducted an observational cohort study of patients diagnosed with PPC between March 1 and December 1 in 2 years: 2019 (before COVID-19) and in 2020 (after COVID-19) to compare the time from symptom onset to PPC diagnosis. Relevant demographic and clinical variables were collected, and statistical analyses were performed with the χ2 test, Wilcoxon rank sum test, and Cox proportional hazards regression analysis. During 2019, 83 patients were diagnosed with PPC. During 2020, 113 patients were diagnosed with PPC. For both groups, the median time from symptom onset to diagnosis of PPC was 14 days (P = .13). No significant differences in time to diagnosis existed between the 2 years for location of diagnosis (outpatient clinic, emergency department, or in hospital), for computed tomographic imaging performed before diagnosis, or for number of COVID-19 tests received before PPC diagnosis. In addition, there were no differences in the 2 years between the total number of clinical visits before diagnosis. However, patients in the post-COVID-19 group who had fever were diagnosed with PPC earlier than those without fever (hazard ratio, 1.77; 95% confidence interval, 1.15-2.73; P = .01). Contrary to what we expected, no significant delay in diagnosis of PPC occurred during the COVID-19 pandemic.

Indexed as

CoccidioidomycosisCOVID-19Cohort StudiesCOVID-19 TestingEmergency Service, HospitalHumansPandemics

Identifiers

PMID36107584
PMCPMC9439624
OpenAlexW4294300705

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.