Evidence map›Paper›PMID 36889797›Full record

SynthesisBMJ (Clinical research ed.)2023

Comparison of mental health symptoms before and during the covid-19 pandemic: evidence from a systematic review and meta-analysis of 134 cohorts.

Ying Sun, Yin Wu, Suiqiong Fan, Tiffany Dal Santo, Letong Li, Xiaowen Jiang, Kexin Li, Yutong Wang, Amina Tasleem, Ankur Krishnan and 16 more

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed, 12 pooled it
85.5field-weighted citation impact, top 1% 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

140 citing papers in PubMed, 12 syntheses or guidelines pooled it, 273 citations in OpenAlex.

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80 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 9 institutions in 2 countries.

Ying SunLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Yin WuLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Suiqiong FanLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Tiffany Dal SantoLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Letong LiLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Xiaowen JiangLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Kexin LiLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Yutong WangLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Amina TasleemLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Ankur KrishnanLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Chen HeLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Olivia BonardiLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Jill T BoruffSchulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, Quebec, Canada.
Danielle B RiceDepartment of Psychology, St Joseph's Healthcare, Hamilton, Ontario, Canada.
Sarah MarkhamDepartment of Biostatistics and Health Informatics, King's College London, London, UK.
Brooke LevisLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Marleine AzarLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Ian Thombs-ViteLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Dipika NeupaneLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
Branka AgicCentre for Addiction and Mental Health, Toronto, Ontario, Canada.
Christine FahimLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada.
Michael S MartinSchool of Epidemiology and Public Health, University of Ottawa; Ontario, Canada.
Sanjeev SockalingamCentre for Addiction and Mental Health, Toronto, Ontario, Canada.
Gustavo TureckiDepartment of Psychiatry, McGill University, Montreal, Quebec, Canada.
Andrea BenedettiDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada.
Brett D ThombsLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada brett.thombs@mcgill.ca.ORCID 0000-0002-5644-8432
Jewish General Hospital · CACentre for Addiction and Mental Health · CADouglas Mental Health University Institute · CAKing's College London · GBMcGill University · CAMcGill University Health Centre · CASt. Joseph’s Healthcare Hamilton · CAUnity Health TorontoUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo synthesise results of mental health outcomes in cohorts before and during the covid-19 pandemic.

designSystematic review. DATA SOURCES: Medline, PsycINFO, CINAHL, Embase, Web of Science, China National Knowledge Infrastructure, Wanfang, medRxiv, and Open Science Framework Preprints. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Studies comparing general mental health, anxiety symptoms, or depression symptoms assessed from 1 January 2020 or later with outcomes collected from 1 January 2018 to 31 December 2019 in any population, and comprising ≥90% of the same participants before and during the covid-19 pandemic or using statistical methods to account for missing data. Restricted maximum likelihood random effects meta-analyses (worse covid-19 outcomes representing positive change) were performed. Risk of bias was assessed using an adapted Joanna Briggs Institute Checklist for Prevalence Studies.

resultsAs of 11 April 2022, 94 411 unique titles and abstracts including 137 unique studies from 134 cohorts were reviewed. Most of the studies were from high income (n=105, 77%) or upper middle income (n=28, 20%) countries. Among general population studies, no changes were found for general mental health (standardised mean difference (SMD)

conclusionsHigh risk of bias in many studies and substantial heterogeneity suggest caution in interpreting results. Nonetheless, most symptom change estimates for general mental health, anxiety symptoms, and depression symptoms were close to zero and not statistically significant, and significant changes were of minimal to small magnitudes. Small negative changes occurred for women or female participants in all domains. The authors will update the results of this systematic review as more evidence accrues, with study results posted online (https://www.depressd.ca/covid-19-mental-health). REVIEW REGISTRATION: PROSPERO CRD42020179703.

Indexed as

COVID-19Mental DisordersAnxietyFemaleHumansMental HealthPandemics

Identifiers

PMID36889797
PMCPMC9992728
OpenAlexW4323652410

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.