Evidence map›Paper›PMID 39407138›Full record

SynthesisBMC public health2024

Estimation of the prevalence of anxiety during the COVID-19 pandemic: A meta-analysis of meta-analyses.

Mostafa Amini-Rarani, Saber Azami-Aghdash, Haleh Mousavi Isfahani, Mohammad Mohseni

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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

4 authors.

Mostafa Amini-RaraniSocial Determinants of Health Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Saber Azami-AghdashTabriz Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Haleh Mousavi IsfahaniHealth Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammad MohseniSocial Determinants of Health Research Center, Isfahan University of Medical Sciences, Isfahan, Iran. mmohseni1986@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPandemics such as COVID-19, can lead to psychiatric symptoms like anxiety. It seems that meta-analysis of meta-analysis studies can provide more comprehensive information regarding the needs for post-COVID-19 services. Therefore, this umbrella review and meta-analysis of meta-analyses aimed to estimate the precise prevalence of anxiety during the COVID-19 pandemic.

methodsPubMed, Scopus, and Web of Science were searched for published meta-analyses using relevant keywords, such as Anxiety, Prevalence, COVID-19, and Meta-analysis up to November 1, 2023. Google Scholar, reference check, citation check, and grey literature were manually searched. A random-effect model was used for the analysis. All analyses were conducted using STATA: 17.

resultsOut of the 4263 records, Finally, 75 meta-analyses were included. The overall prevalence of anxiety was 30.4% [95% CI: 29-31.8] with a high heterogeneity (I

conclusionsConsidering the prevalence of anxiety among patients, students, pregnant women, and healthcare workers, special attention should be paid to these groups in case of the re-occurrence of COVID-19 or occurrence of other pandemics. As quarantine due to pandemics causes reduced social interactions, reduced income, and increased worry about severe illness and death, there is a need for large-scale mobilization of political measures.

Indexed as

AnxietyCOVID-19FemaleHealth PersonnelHumansMeta-Analysis as TopicPandemicsPregnancyPrevalenceAnxietyCOVID-19Meta-analysisPandemicPrevalence

Identifiers

PMID39407138
PMCPMC11476206

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.