Evidence map›Paper›PMID 37761259›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Determination of the Diagnostic Performance of Laboratory Tests in the Absence of a Perfect Reference Standard: The Case of SARS-CoV-2 Tests.

Sonja Hartnack, Henning Nilius, Sabrina Jegerlehner, Franziska Suter-Riniker, Pascal Bittel, Philipp Jent, Michael Nagler

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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.

Sonja HartnackSection of Epidemiology, Vetsuisse Faculty, University of Zurich, 8057 Zuric, Switzerland.ORCID 0000-0002-5757-5708
Henning NiliusDepartment of Clinical Chemistry, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.ORCID 0000-0002-1323-3116
Sabrina JegerlehnerDepartment of Emergency Medicine, Inselspital, Bern University Hospital, 3010 Bern, Switzerland.
Franziska Suter-RinikerInstitute for Infectious Diseases, University of Bern, 3010 Bern, Switzerland.
Pascal BittelInstitute for Infectious Diseases, University of Bern, 3010 Bern, Switzerland.
Philipp JentDepartment of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.ORCID 0000-0002-1838-9208
Michael NaglerDepartment of Clinical Chemistry, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.ORCID 0000-0003-4319-2367
University of Bern · CHUniversity Hospital of Bern · CHUniversity of Zurich · CH

Funding

Swiss National Science Foundation 179334
6 · The paper itself

Abstract

backgroundCurrently, assessing the diagnostic performance of new laboratory tests assumes a perfect reference standard, which is rarely the case. Wrong classifications of the true disease status will inevitably lead to biased estimates of sensitivity and specificity.

objectivesUsing Bayesian' latent class models (BLCMs), an approach that does not assume a perfect reference standard, we re-analyzed data of a large prospective observational study assessing the diagnostic accuracy of an antigen test for the diagnosis of SARS-CoV-2 infection in clinical practice.

methodsA cohort of consecutive patients presenting to a COVID-19 testing facility affiliated with a Swiss University Hospital were recruited (n = 1465). Two real-time PCR tests were conducted in parallel with the Roche/SD Biosensor rapid antigen test on nasopharyngeal swabs. A two-test (PCR and antigen test), three-population BLCM was fitted to the frequencies of paired test results.

resultsBased on the BLCM, the sensitivities of the RT-PCR and the Roche/SD Biosensor rapid antigen test were 98.5% [95% CRI 94.8;100] and 82.7% [95% CRI 66.8;100]. The specificities were 97.7% [96.1;99.7] and 99.9% [95% CRI 99.6;100].

conclusionsApplying the BLCM, the diagnostic accuracy of RT-PCR was high but not perfect. In contrast to previous results, the sensitivity of the antigen test was higher. Our results suggest that BLCMs are valuable tools for investigating the diagnostic performance of laboratory tests in the absence of perfect reference standard.

Indexed as

BLCMdiagnostic accuracyno gold standard models

Identifiers

PMID37761259
PMCPMC10530219
OpenAlexW4386602653

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.