Evidence map›Paper›PMID 35783674›Full record

ReviewFuture virology2022

Molecular and antigen tests, and sample types for diagnosis of COVID-19: a review.

Yujia Zhang, Rachael Garner, Sana Salehi, Marianna La Rocca, Dominique Duncan

Abstract readReview
In one paragraph

Review in Future virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

5 authors.

Yujia ZhangLaboratory of Neuro Imaging, USC Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Ave., Los Angeles, CA 90033, USA.ORCID https://orcid.org/0000-0003-0561-4506
Rachael GarnerLaboratory of Neuro Imaging, USC Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Ave., Los Angeles, CA 90033, USA.ORCID https://orcid.org/0000-0003-4999-6411
Sana SalehiLaboratory of Neuro Imaging, USC Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Ave., Los Angeles, CA 90033, USA.ORCID https://orcid.org/0000-0001-6855-9044
Marianna La RoccaUniversità di Bari, Dipartimento Interateneo di Fisica, Bari, Italy.ORCID https://orcid.org/0000-0002-2254-1583
Dominique DuncanLaboratory of Neuro Imaging, USC Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Ave., Los Angeles, CA 90033, USA.ORCID https://orcid.org/0000-0002-6154-9262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laboratory tests seeking to improve detection of COVID-19 have been widely developed by laboratories and commercial companies. This review provides an overview of molecular and antigen tests, presents the sensitivity and specificity for 329 assays that have received US FDA Emergency Use Authorization and evaluates six sample collection methods - nasal, nasopharyngeal, oropharyngeal swabs, saliva, blood and stool. Molecular testing is preferred for diagnosis of COVID-19, but negative results do not always rule out the presence of infection, especially when clinical suspicion is high. Sensitivity and specificity ranged from 88.1 to 100% and 88 to 100%, respectively. Antigen tests may be more easy to use and rapid. However, they have reported a wide range of detection sensitivities from 16.7 to 85%, which may potentially yield many false-negative results.

Indexed as

COVID-19diagnostic testingSARS-CoV-2sensitivity and specificityUS FDA

Identifiers

PMID35783674
PMCPMC9248776

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.