Evidence map›Paper›PMID 35186519›Full record

ArticleCureus2022

When Worlds Collide: An Interesting Case of Rhinocerebral Mucormycosis Exacerbated by COVID-19 and Diabetic Ketoacidosis Complicated by Intraorbital Hematoma.

Andrew J Ortega, Sara Alhariri, M Ammar Kalas, Jeff Taclob, Angelica Padilla, Abhizith Deoker

Abstract readCase Reports
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Pattern-based clinical recognition of diabetes-associatedFrontiers in cellular and infection microbiology · 2026
    Review
  2. 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

6 authors.

Andrew J OrtegaInternal Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, USA.
Sara AlhaririInternal Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, USA.
M Ammar KalasInternal Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, USA.
Jeff TaclobInternal Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, USA.
Angelica PadillaPathology, Texas Tech University Health Sciences Center El Paso, El Paso, USA.
Abhizith DeokerInternal Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mucormycosis is a devastating fungal infection seen in patients who are immunosuppressed or in severe inflammatory states. Mucormycosis has been increasingly seen in the setting of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. We describe a 68-year-old male with a past medical history of uncontrolled diabetes mellitus who presented with acute vision loss and was found to have concomitant diabetic ketoacidosis (DKA) and coronavirus disease 2019 (COVID-19) infection on presentation. Rhinocerebral mucormycosis was suspected given the patient's presentation and was confirmed with an ethmoidal sinus biopsy. Our case was further complicated by the presence of cavernous sinus thrombosis, cerebral infarcts, and, later, the development of a left orbital hematoma following therapeutic anticoagulation. This case report aims to address the rare but now increasing incidence of rhinocerebral mucormycosis in the setting of COVID-19, further complicated by DKA, cerebral thrombosis, and intraorbital hematoma.

Indexed as

covid 19covid-19 associated mucormycosisdiabetes type 2diabetic ketoacidosis (dka)intra-orbital hematomarhinocerebral mucormycosis

Identifiers

PMID35186519
PMCPMC8844255

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.