Evidence map›Paper›PMID 35516689›Full record

ReviewJournal of family medicine and primary care2022

COVID-19 associated pulmonary mucormycosis: A systematic review of published cases with review of literature.

Deependra K Rai

Open access · goldAbstract readReview
In one paragraph

Review in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

1 author at 1 institution in 1 country.

Deependra K RaiAdditional Professor & Head, Department of Pulmonary Medicine, All India Institute of Medical Sciences, Patna, Bihar, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is sharp rise in cases of Coronavirus disease 2019 (COVID-19)-associated mucormycosis worldwide and specially during second wave of COVID-19 pandemic. This systemic review was conducted to characterize pulmonary mucormycosis associated with COVID-19 infection. Materials and Methods: A systematic literature search was conducted in the electronic database of PubMed and Google Scholar from 1 Result: Total 9 articles of pulmonary mucormycosis with COVID-19 infection were reported in the database of PubMed and Google Scholar. Only one case till date was reported from India, others are from USA (n-3), Italy (n-2), France (n-1), UK (n-1), and Arizona (n-1). Pooled data from this study showed mucormycosis was predominantly seen in males (8 male, 1 female). The most common comorbidities associated were diabetes (n-3), hematological malignancy, (n-2) and end-stage renal disease (n-2), while 2 cases did not show any associated comorbidity. All the cases were having severe COVID-19 infection and 7 out of 9 patients were in ICU and on mechanical ventilation at the time of diagnosis. None of the cases associated with rhino-orbital-cerebral mucormycosis (ROCM) except 1 patient with sinus involvement. Mortality was found in 7 out of 9 patients. Conclusion: There is a need to keep a high index of suspicion in patients with severe COVID-19 infections, diabetic, and received treatment in ICU with ventilator support for early diagnosis and treatment. Although Mucor is less common than Aspergillus infection, it is associated with higher mortality.

Indexed as

COVID-19mucormycosispulmonarypulmonary cavitySARS COV-2

Identifiers

PMID35516689
PMCPMC9067168
OpenAlexW4226163106

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.