Evidence map›Paper›PMID 38249392›Full record

SynthesisFrontiers in public health2023

Prevalence of depression, anxiety in China during the COVID-19 pandemic: an updated systematic review and meta-analysis.

Xiang Bin, Ke-Yi Qu, Yu-Hao Wang, Li Chen, Yan-Jie Xiong, Jin Fu Wen, Hua-Bo Wei, Tan Bing, Chun-Yan Dan, Jia-Quan Zhu

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2023. 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
7.0field-weighted citation impact, top 3% 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, 11 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 2 institutions in 1 country.

Xiang Bin *Department of Otolaryngology, Fengdu County People's Hospital, Chongqing, China.
Ke-Yi Qu *Department of Stomatology, Fengdu County People's Hospital, Chongqing, China.
Yu-Hao WangShandong Academy of Medical Sciences, Shandong First Medical University, Shandong, China.
Li ChenDepartment of Pharmacy, Fengdu County People's Hospital, Chongqing, China.
Yan-Jie XiongDepartment of Pharmacy, Fengdu County People's Hospital, Chongqing, China.
Jin Fu WenInstitute of Cardiovascular Endocrinology of Shandong First Medical University, Shandong Academy of Medical Sciences, Shandong, China.
Hua-Bo WeiDepartment of Pharmacy, Fengdu County People's Hospital, Chongqing, China.
Tan BingDepartment of Pharmacy, Fengdu County People's Hospital, Chongqing, China.
Chun-Yan DanDepartment of Human Resources, Fengdu County People's Hospital, Chongqing, China.
Jia-Quan ZhuDepartment of Pharmacy, Fengdu County People's Hospital, Chongqing, China.
Jingning County People's Hospital · CNShandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mental health risks associated with the aftermath of the COVID-19 pandemic are often overlooked by the public. The aim of this study was to investigate the effects of the COVID-19 pandemic on depression and anxiety disorders in China. Methods: Studies were analyzed and extracted in accordance with the PRISMA 2020 flowchart. The studies were screened and extracted using electronic databases including PubMed, Web of Science, Embase, Cochrane Library, and ClinicalTrials.gov according to the predefined eligibility criteria. The Cochrane Review Manager software 5.3.1 was used for data analysis and the risk of bias assessment. Results: As of 2023, a total of 9,212,751 Chinese have been diagnosed with COVID-19 infection. A total of 913,036 participants in 44 studies were selected following the eligibility criteria, the statistical information of which was collected for meta-analysis. The pooled prevalence of depression and anxiety were 0.31 (95% CI: 0.28, 0.35; Conclusion: The prevalence of depression and anxiety among the Chinese was overall high. Monitoring and surveillance of the mental health status of the population during crises such as sudden global pandemics are imperative. Systematic review registration: https://clinicaltrials.gov/, identifier [CRD42023402190].

Indexed as

COVID-19PandemicsAdolescentAnxietyAnxiety DisordersChinaDepressionFemaleHumansPrevalenceanxietyChinaCOVID-19depressionmeta-analysissystematic review

Identifiers

PMID38249392
PMCPMC10796455
OpenAlexW4390610737

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.