Evidence map›Paper›PMID 39262503›Full record

ArticleCureus2024

Sarcoidosis as a Great Mimicker: Diagnostic Challenges in a Patient With Coccidioidomycosis.

Alaa Aldookhi, Mehrnoush Hassas Yeganeh, Wanda Saleh, Manish Adhikari

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. 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

4 authors.

Alaa AldookhiInternal Medicine Residency Program, Capital Health Regional Medical Center, Trenton, USA.
Mehrnoush Hassas YeganehInternal Medicine Residency Program, Capital Health Regional Medical Center, Trenton, USA.
Wanda SalehInternal Medicine Residency Program, Capital Health Regional Medical Center, Trenton, USA.
Manish AdhikariInternal Medicine Residency Program, Capital Health Regional Medical Center, Trenton, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcoidosis presents as a systemic granulomatous disease of unknown etiology, characterized by the development of non-caseating granulomas that commonly affect the lungs, lymph nodes, skin, and eyes. Manifestations of various conditions such as infections, neoplasms, autoimmune, cardiovascular, and drug-induced diseases can bear resemblance to sarcoidosis. Coccidiosis, attributed to protozoan parasites of the Coccidia genus, primarily affects the intestinal tract but may also display systemic symptoms akin to those of sarcoidosis. In this particular case, we present a 46-year-old immunocompetent gentleman who had an extensive disease despite the patient's well-controlled diabetes and absence of residency in an endemic area with fungal infection, his only pertinent part of the history was his travel to endemic areas for short periods that raised the possibility of thinking about the disseminated fungal infection. The patient's symptoms initially attributed to and treated as sarcoidosis, which later did not respond to steroids, led us to consider other potential causes, including systemic fungal infection  Misdiagnosis of the sarcoidosis bears the risk of inappropriate treatment, potentially leading to exacerbated patient outcomes. Consequently, it is imperative for healthcare providers, particularly rheumatologists, to augment vigilance and conduct comprehensive diagnostic assessments encompassing microbiological testing and histopathological examination.

Indexed as

bronchal alveolar lavage (bal)chest infectioncoccidiosisnoncaseating granulomasarcoidosis

Identifiers

PMID39262503
PMCPMC11390034

What OpenQuestion holds

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Registered trials

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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.