Evidence map›Paper›PMID 38624829›Full record

ReviewEnvironmental sustainability (Singapore)2021

Antibacterial agents used in COVID-19: A systematic review and meta-analysis.

Swati Sharma, Aradhana Singh, Tuhina Banerjee

Open access · bronzeAbstract readReview
In one paragraph

Review in Environmental sustainability (Singapore), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Antibiotics for the treatment of COVID-19.The Cochrane database of systematic reviews · 2021
    Pooled it
  2. Article
  3. Review
  4. Azithromycin use and outcomes in patients with COVID-19: an observational real-world study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Observational
  5. Article
  6. Article
  7. 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

3 authors at 1 institution in 1 country.

Swati SharmaDepartment of Microbiology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005 India.
Aradhana SinghDepartment of Microbiology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005 India.
Tuhina BanerjeeDepartment of Microbiology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005 India.ORCID 0000-0003-0035-2842
Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There have been speculations regarding rise in antimicrobial resistance (AMR) globally owing to indiscriminate antibiotic usage during the COVID-19 pandemic. To curb the menace through decisive policies, it is essential to assess the antibiotics, particularly the antibacterial agents. This systematic review and meta-analysis were performed to assess antibiotic use in COVID-19 patients. A thorough systematic search was undertaken in databases like PubMed, Cochrane library, Google Scholar, World Health Organization (WHO) database and clinicaltrials.gov by two independent reviewers for articles in English published from January 1, 2019 to October 31, 2020. Studies were included if they assessed confirmed COVID-19 cases and mentioned the use of antibiotics. The primary outcome was the proportion of COVID-19 patients subjected to specific antibacterial agents. An attempt to stratify the data based on study settings and disease severity was also performed. Of the total 6012 studies screened, 40 were eligible for qualitative review and 19 for meta-analysis. Specific antibacterial agents were mentioned in 23 studies (57.5%). In the random effect meta-analysis, pooled prevalence of azithromycin use was 24.5% (95% CI 22.9-26.2%) followed by cephalosporins as 26.6% (95% CI 24.9-28.4). None of the studies clearly specified indications for antibiotic use. Ten studies (25%) mentioned empirical use of antibiotics. Bacterial co-infections/secondary infections were documented in four studies with mean prevalence of infection of 1.9% (95% CI 1.2-2.8%). There is lack of data on use of specific antibacterial agents, indications for their use based on severity of infections and microbiological evidence of bacterial co-infections.

Indexed as

AntibioticsAntimicrobial resistanceAzithromycinBacterial co-infectionsCephalosporinsCOVID-19Empirical

Identifiers

PMID38624829
PMCPMC8181540
OpenAlexW3166407278

What OpenQuestion holds

Textmetadata
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.