Evidence map›Paper›PMID 35713189›Full record

ArticleJournal of medical virology2022

Evaluation of diagnostic test procedures for SARS-CoV-2 using latent class models.

Jacob Staerk-Østergaard, Carsten Kirkeby, Lasse E Christiansen, Michael A Andersen, Camilla H Møller, Marianne Voldstedlund, Matthew J Denwood

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. 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 at 3 institutions in 1 country.

Jacob Staerk-ØstergaardDepartment of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark.ORCID 0000-0002-0969-4016
Carsten KirkebyDepartment of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark.
Lasse E ChristiansenDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.
Michael A AndersenEpidemiologisk Forskning / Modelgruppen, Staten's Serum Institute, Copenhagen, Denmark.
Camilla H MøllerEpidemiologisk Forskning / Modelgruppen, Staten's Serum Institute, Copenhagen, Denmark.
Marianne VoldstedlundEpidemiologisk Forskning / Modelgruppen, Staten's Serum Institute, Copenhagen, Denmark.
Matthew J DenwoodDepartment of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark.
Statens Serum Institut · DKUniversity of Copenhagen · DKTechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymerase chain reaction (PCR) and antigen tests have been used extensively for screening during the severe acute respiratory syndrome coronavirus 2 pandemics. However, the real-world sensitivity and specificity of the two testing procedures in the field have not yet been estimated without assuming that the PCR constitutes a gold standard test. We use latent class models to estimate the in situ performance of both tests using data from the Danish national registries. We find that the specificity of both tests is very high (>99.7%), while the sensitivities are 95.7% (95% confidence interval [CI]: 92.8%-98.4%) and 53.8% (95% CI: 49.8%-57.9%) for the PCR and antigen tests, respectively. These findings have implications for the use of confirmatory PCR tests following a positive antigen test result: we estimate that serial testing is counterproductive at higher prevalence levels.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingDiagnostic Tests, RoutineHumansLatent Class AnalysisPandemicsSensitivity and Specificitybiostatistics and bioinformaticsepidemiologySARS coronavirustest statisticsvirus classification

Identifiers

PMID35713189
PMCPMC9349895
OpenAlexW4283029128

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.