Evidence map›Paper›PMID 33925518›Full record

ReviewInternational journal of environmental research and public health2021

Understanding the Challenges and Uncertainties of Seroprevalence Studies for SARS-CoV-2.

David McConnell, Conor Hickey, Norma Bargary, Lea Trela-Larsen, Cathal Walsh, Michael Barry, Roisin Adams

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The importance of prevalence and pre-test probability on the microbiological diagnosis of SARS-CoV-2: the case of Spain in 2020.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

David McConnellNational Centre for Pharmacoeconomics, St James's Hospital, D08 HD53 Dublin, Ireland.
Conor HickeyNational Centre for Pharmacoeconomics, St James's Hospital, D08 HD53 Dublin, Ireland.
Norma BargaryHealth Research Institute and MACSI, University of Limerick, V94 T9PX Limerick, Ireland.
Lea Trela-LarsenNational Centre for Pharmacoeconomics, St James's Hospital, D08 HD53 Dublin, Ireland.
Cathal WalshNational Centre for Pharmacoeconomics, St James's Hospital, D08 HD53 Dublin, Ireland.
Michael BarryNational Centre for Pharmacoeconomics, St James's Hospital, D08 HD53 Dublin, Ireland.
Roisin AdamsNational Centre for Pharmacoeconomics, St James's Hospital, D08 HD53 Dublin, Ireland.

Funding

Trinity College Dublin Covid-19 Response Funding
6 · The paper itself

Abstract

SARS-CoV-2 continues to widely circulate in populations globally. Underdetection is acknowledged and is problematic when attempting to capture the true prevalence. Seroprevalence studies, where blood samples from a population sample are tested for SARS-CoV-2 antibodies that react to the SARS-CoV-2 virus, are a common method for estimating the proportion of people previously infected with the virus in a given population. However, obtaining reliable estimates from seroprevalence studies is challenging for a number of reasons, and the uncertainty in the results is often overlooked by scientists, policy makers, and the media. This paper reviews the methodological issues that arise in designing these studies, and the main sources of uncertainty that affect the results. We discuss the choice of study population, recruitment of subjects, uncertainty surrounding the accuracy of antibody tests, and the relationship between antibodies and infection over time. Understanding these issues can help the reader to interpret and critically evaluate the results of seroprevalence studies.

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralHumansPrevalenceSeroepidemiologic StudiesUncertaintyAntibodies, Viralantibody testingcoronavirusCOVID-19SARS-CoV-2seroprevalence

Identifiers

PMID33925518
PMCPMC8123865

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.