Evidence map›Paper›PMID 16490123›Full record

SynthesisEpidemiology and infection2006

Seroprevalence of IgG antibodies to SARS-coronavirus in asymptomatic or subclinical population groups.

G M Leung, W W Lim, L-M Ho, T-H Lam, A C Ghani, C A Donnelly, C Fraser, S Riley, N M Ferguson, R M Anderson and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Epidemiology and infection, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 4 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

52 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Risk management and communication plans from SARS to COVID-19 and beyond.The International journal of health planning and management · 2022
    Review
  8. The COVID-19 pandemic - How many times were we warned before?European journal of internal medicine · 2022
    Review
  9. Lessons from SARS-CoV, MERS-CoV, and SARS-CoV-2 Infections: What We Know So Far.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. How Useful is COVID-19 Antibody Testing - A Current Assessment for Oncologists.Clinical oncology (Royal College of Radiologists (Great Britain)) · 2021
    Article
  19. SARS-CoV-2 infections in children and young people.Clinical immunology (Orlando, Fla.) · 2020
    Review
  20. BeyondJournal of the Royal Society, Interface · 2020
    Article
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

11 authors.

G M LeungDepartment of Community Medicine, University of Hong Kong, Pokfulam, Hong Kong, ChinaTakemi Program, Harvard School of Public Health, Boston, MA, USA. gmleung@hkucc.hk
W W Lim
L-M Ho
T-H Lam
A C Ghani
C A Donnelly
C Fraser
S Riley
N M Ferguson
R M Anderson
A J Hedley

Funding

Wellcome Trust
6 · The paper itself

Abstract

We systematically reviewed the current understanding of human population immunity against SARS-CoV in different groups, settings and geography. Our meta-analysis, which included all identified studies except those on wild animal handlers, yielded an overall seroprevalence of 0.10% [95% confidence interval (CI) 0.02-0.18]. Health-care workers and others who had close contact with SARS patients had a slightly higher degree of seroconversion (0.23%, 95% CI 0.02-0.45) compared to healthy blood donors, others from the general community or non-SARS patients recruited from the health-care setting (0.16%, 95% CI 0-0.37). When analysed by the two broad classes of testing procedures, it is clear that serial confirmatory test protocols resulted in a much lower estimate (0.050%, 95% CI 0-0.15) than single test protocols (0.20%, 95% CI 0.06-0.34). Potential epidemiological and laboratory pitfalls are also discussed as they may give rise to false or inconsistent results in measuring the seroprevalence of IgG antibodies to SARS-CoV.

Indexed as

Antibody FormationBlood DonorsGeographyHealth PersonnelHumansImmunoglobulin GSeroepidemiologic StudiesSevere Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusImmunoglobulin G

Identifiers

PMID16490123
PMCPMC2870380

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.