Evidence map›Paper›PMID 33778796›Full record

ArticleThe Lancet regional health. Western Pacific2021

Serology surveillance of SARS-CoV-2 antibodies among healthcare workers in COVID-19 designated facilities in Malaysia.

Yuan Liang Woon, Yee Leng Lee, Yoong Min Chong, Nor Aliya Ayub, Swarna Lata Krishnabahawan, June Fei Wen Lau, Ramani Subramaniam-Kalianan, I-Ching Sam, Yoke Fun Chan, Raj Kumar Sevalingam and 7 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. COVID-19 Prevention and Control Measures in Workplace Settings: A Rapid Review and Meta-Analysis.International journal of environmental research and public health · 2021
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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

17 authors.

Yuan Liang WoonCenter for Clinical Epidemiology, Institute for Clinical Research, National Institutes of Health, Ministry of Health, Malaysia.
Yee Leng LeeClinical Research Center, Sungai Buloh Hospital, Ministry of Health, Malaysia.
Yoong Min ChongDepartment of Medical Microbiology, Faculty of Medicine, University Malaya, Malaysia.
Nor Aliya AyubClinical Research Center, Kuala Lumpur Hospital, Ministry of Health, Malaysia.
Swarna Lata KrishnabahawanClinical Research Center, Sungai Buloh Hospital, Ministry of Health, Malaysia.
June Fei Wen LauCenter for Clinical Epidemiology, Institute for Clinical Research, National Institutes of Health, Ministry of Health, Malaysia.
Ramani Subramaniam-KaliananCenter for Clinical Epidemiology, Institute for Clinical Research, National Institutes of Health, Ministry of Health, Malaysia.
I-Ching SamDepartment of Medical Microbiology, Faculty of Medicine, University Malaya, Malaysia.
Yoke Fun ChanDepartment of Medical Microbiology, Faculty of Medicine, University Malaya, Malaysia.
Raj Kumar SevalingamClinical Research Center, Kuala Lumpur Hospital, Ministry of Health, Malaysia.
Azura RamliClinical Research Center, Kuala Lumpur Hospital, Ministry of Health, Malaysia.
Chuan Huan ChuahInfectious Disease Unit, Medical Department, Sungai Buloh Hospital, Ministry of Health, Malaysia.
Hani Mat-HussinNational Public Health Laboratory, Ministry of Health, Malaysia.
Chee Loon LeongInfectious Disease Unit, Medical Department, Kuala Lumpur Hospital, Ministry of Health, Malaysia.
Suresh Kumar ChidambaramInfectious Disease Unit, Medical Department, Sungai Buloh Hospital, Ministry of Health, Malaysia.
Kalaiarasu M PeariasamyInstitute for Clinical Research, National Institutes of Health, Ministry of Health, Malaysia.
Pik Pin GohInstitute for Clinical Research, National Institutes of Health, Ministry of Health, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAsymptomatic severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infections are well documented. Healthcare workers (HCW) are at increased risk of infection due to occupational exposure to infected patients. We aim to determine the prevalence of SARS-CoV-2 antibodies among HCW who did not come to medical attention.

methodsWe prospectively recruited 400 HCW from the National Public Health Laboratory and two COVID-19 designated public hospitals in Klang Valley, Malaysia between 13/4/2020 and 12/5/2020. Quota sampling was used to ensure representativeness of HCW involved in direct and indirect patient care. All participants answered a self-administered questionnaire and blood samples were taken to test for SARS-CoV-2 antibodies by surrogate virus neutralization test.

findingsThe study population comprised 154 (38.5%) nurses, 103 (25.8%) medical doctors, 47 (11.8%) laboratory technologists and others (23.9%). A majority (68.9%) reported exposure to SARS-CoV-2 in the past month within their respective workplaces. Adherence to personal protection equipment (PPE) guidelines and hand hygiene were good, ranging from 91-100% compliance. None (95% CI: 0, 0.0095) of the participants had SARS-CoV-2 antibodies detected, despite 182 (45.5%) reporting some symptoms one month prior to study recruitment. One hundred and fifteen (29%) of participants claimed to have had contact with known COVID-19 persons outside of their workplace.

interpretationZero seroprevalence among HCW suggests a low incidence of undiagnosed COVID-19 infection in our healthcare setting during the first local wave of SARS-CoV-2 infection. The occupational risk of SARS-CoV-2 transmission within healthcare facilities can be prevented by adherence to infection control measures and appropriate use of PPE.

Identifiers

PMID33778796
PMCPMC7982055

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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.