Evidence map›Paper›PMID 36119217›Full record

ArticleJournal of family medicine and primary care2022

Investigation of an acute surge of COVID-19 associated mucormycosis (CAM) cases reported to a tertiary health care institution in Bihar, India.

Chandra Mani Singh, Bijaya Nanda Naik, Sanjay Pandey, Prashant Kumar Singh, U R Rajath Rao, Prathyusha Kokkayil, Kranti Bhavana, Prabhat Kumar Singh

Abstract read
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Article 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 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Chandra Mani SinghDepartment of Community and Family Medicine, All India Institute of Medical Sciences (AIIMS), Patna, India.
Bijaya Nanda NaikDepartment of Community and Family Medicine, All India Institute of Medical Sciences (AIIMS), Patna, India.
Sanjay PandeyDepartment of Community and Family Medicine, All India Institute of Medical Sciences (AIIMS), Patna, India.
Prashant Kumar SinghDepartment of Community and Family Medicine, All India Institute of Medical Sciences (AIIMS), Patna, India.
U R Rajath RaoDepartment of Community and Family Medicine, All India Institute of Medical Sciences (AIIMS), Patna, India.
Prathyusha KokkayilDepartment of Microbiology, All India Institute of Medical Sciences (AIIMS), Patna, India.
Kranti BhavanaEar, Nose and Throat, All India Institute of Medical Sciences (AIIMS), Patna, India.
Prabhat Kumar SinghDirector, All India Institute of Medical Sciences (AIIMS), Patna, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Acute surge in coronavirus disease-2019 (COVID)-associated mucormycosis (CAM) cases was reported during mid-May 2021, which was later declared an epidemic in various states of India including Bihar. Objective: We carried out a rapid investigation of CAM cases to describe the epidemiological and clinical profiles and find plausible predictors to guide the initiation of public health actions. Methods: A team of public health specialists contacted all the CAM cases reported to our hospital to collect relevant information using a case-investigation-form. In addition, the team visited the Flu Clinic and Ear, Nose, and Throat (ENT) outpatient department (OPD) to capture CAM cases on daily basis during the period of the acute surge of CAM cases. Results: About 88% of 130 CAM cases reported during the period of the acute surge were in the advanced stage of mucormycosis. The majority of the CAM cases were younger (less than 60 years) [76.2%], diabetics [65.4%], un-vaccinated [86.9%], and had used steroids for management of COVID-19 [64.6%]. Other findings of public health importance were summarized and possible public health actions were recommended for the prevention of outbreaks in future. Conclusion: Optimum management of diabetes including screening for each COVID case, rational use of steroids only when necessary, strict adherence to COVID appropriate behavior by health professionals as well as the public, increasing COVID vaccine coverage, CAM awareness, and setting up a CAM surveillance mechanism may be the key to prevent and control CAM outbreaks in future.

Indexed as

COVID-19COVID-19-associated mucormycosisoutbreak investigationSARS CoV-2

Identifiers

PMID36119217
PMCPMC9480698

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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.