Evidence map›Paper›PMID 34116205›Full record

SynthesisClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2021

The seroprevalence of SARS-CoV-2 antibodies among health care workers before the era of vaccination: a systematic review and meta-analysis.

İlker Kayı, Bahar Madran, Şiran Keske, Özge Karanfil, Jose Ramon Arribas, Natalia Psheniсhnaya, Nicola Petrosillo, Mehmet Gönen, Önder Ergönül

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 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

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

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  14. Transmission and Risk Factors of COVID-19 among Health Care Workers.Seminars in respiratory and critical care medicine · 2023
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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

9 authors.

İlker KayıKoç University, School of Medicine, Department of Public Health, Istanbul, Turkey.
Bahar MadranKoç University, School of Nursing, Department of Public Health, Istanbul, Turkey.
Şiran KeskeKoç University İş Bank Research Center for Infectious Diseases (KUISCID), Istanbul, Turkey; Koç University, School of Medicine, Department of Infectious Diseases and Clinical Microbiology, Istanbul, Turkey.
Özge KaranfilKoç University, College of Administrative Sciences and Economics, Department of Operations Management, Istanbul, Turkey.
Jose Ramon ArribasLa Paz Hospital, Department of Internal Medicine, Infectious Diseases Unit, Madrid, Spain.
Natalia PsheniсhnayaCentral Research Institute of Epidemiology, Clinical Department of Infectious Pathology, Moscow, Russia.
Nicola PetrosilloNational Institute for Infectious Diseases 'L. Spallanzani', IRCCS, Rome, Italy.
Mehmet GönenKoç University İş Bank Research Center for Infectious Diseases (KUISCID), Istanbul, Turkey; Koç University, College of Engineering, Department of Industrial Engineering, Istanbul, Turkey.
Önder ErgönülKoç University İş Bank Research Center for Infectious Diseases (KUISCID), Istanbul, Turkey; Koç University, School of Medicine, Department of Infectious Diseases and Clinical Microbiology, Istanbul, Turkey. Electronic address: oergonul@ku.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of SARS-CoV-2 infection among health care workers (HCWs) provides information about the spread of COVID-19 within health care facilities, and the risk groups.

objectivesWe aimed to describe the rate of SARS-CoV-2 seroprevalence and its determinants among HCWs. DATA SOURCES: We used Web of Science, PubMed, Scopus, MEDLINE, EBSCOhost and Cochrane Library. STUDY ELIGIBILITY CRITERIA: We included the reports of SARS-CoV-2 seroprevalence with a sample size of minimum 1000 HCWs.

methodsThe study was registered at the International Prospective Register of Systematic Reviews (PROSPERO, no. CRD42021230456). We used PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. The keywords were "COVID-19", "SARS-CoV-2", "Coronavirus", "seroprevalence", "health care workers" and "risk factors".

resultsIn total 4329 reports were retrieved, duplications were removed; after filtering according to the title and abstract, 25 studies were selected. Risk of bias was assessed in 25 studies; it was low in 13 studies, medium in four studies, and high in eight studies. In meta-analysis using the random effect model, the weighted average of seroprevalence was calculated as 8% (95% CI 6-10%). The pooled seroprevalence rates of the selected variables that have a rate above the average were male HCWs with 9% (95% CI 7-11%); HCWs from ethnic minorities with 13% (95% CI 9-17%); high exposure 9% (95% CI 6-13%); exposure to the virus outside the health care setting 22% (95% CI 14-32%).

conclusionsOur analysis indicates a SARS-CoV-2 seroprevalence rate of 8% among studies that included >1000 HCWs for the year 2020, before vaccinations started. The most common risk factors associated with higher seroprevalence rate were ethnicity, male gender and having a higher number of household contacts. Working as a frontline HCW was inconsistent in its association with higher seroprevalence.

Indexed as

COVID-19FemaleHealth PersonnelHumansMaleRisk FactorsSARS-CoV-2Seroepidemiologic StudiesBefore vaccinationCovid-19Healthcare workersRisk factorsSeroprevalence

Identifiers

PMID34116205
PMCPMC8186944

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.