Evidence map›Paper›PMID 34603963›Full record

ArticleIDCases2021

Rhino-orbital Mucormycosis as a complication of severe COVID-19 pneumonia.

Mohammed A Alamin, Mohammed Abdulgayoom, Sushil Niraula, Elabbass Abdelmahmuod, Ashraf O Ahmed, Mohammed I Danjuma

Open access · goldAbstract readCase Reports
In one paragraph

Article in IDCases, 2021. 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
0.4field-weighted citation impact, top 36% 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, 7 citations in OpenAlex.

  1. Review
  2. Article
  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

6 authors at 1 institution in 1 country.

Mohammed A AlaminHamad General Hospital, Internal Medicine Department, Doha, Qatar.
Mohammed AbdulgayoomHamad General Hospital, Internal Medicine Department, Doha, Qatar.
Sushil NiraulaHamad General Hospital, Internal Medicine Department, Doha, Qatar.
Elabbass AbdelmahmuodHamad General Hospital, Internal Medicine Department, Doha, Qatar.
Ashraf O AhmedHamad General Hospital, Internal Medicine Department, Doha, Qatar.
Mohammed I DanjumaHamad General Hospital, Internal Medicine Department, Doha, Qatar.
Hamad General Hospital · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mucormycosis has multiple clinical phenotypes, which are more common in immunocompromised patients, especially those with diabetes mellitus. Debilitating rhino-orbital-cerebral and pulmonary infections by far represent the most typical clinical phenotypes associated with these fungi. Mucormycosis is an uncommon infection; however, there have been isolated sporadic tiny outbreaks around the world. With the substantial increase in COVID-19 cases in India, there is a parallel increase in the number of cases of Mucormycosis. A few reports raising unusual concomitant mucormycosis in COVID-19 patients have raised a possible association between the two diseases. We report a 59-year-old male with an established history of uncontrolled diabetes mellitus admitted to the hospital with severe COVID-19 pneumonia (severity ascertained according to WHO classification) treated with steroids and discharged home following full recovery. However, one week later, he presented with right eye ophthalmoplegia and complete loss of vision, which was subsequently established as orbital Mucormycosis. This case highlights the need for heightened awareness of this atypical secondary infection (especially systemic mycosis) in patients recovering from COVID-19 infection.

Indexed as

Black FungusCOVID-19MucormycosisRhizopusSARS-CoV2

Identifiers

PMID34603963
PMCPMC8464083
OpenAlexW3202916422

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.