Evidence map›Paper›PMID 38018986›Full record

ArticleMicrobiology spectrum2024

Comprehensive, comparative evaluation of 25 automated SARS-CoV-2 serology assays.

Wayne Dimech, Shannon Curley, Jing Jing Cai

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2024. 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
0.6field-weighted citation impact, top 33% 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, 3 citations in OpenAlex.

  1. Article
  2. Review
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

3 authors at 1 institution in 1 country.

Wayne DimechNational Serology Reference Laboratory , Fitzroy, Victoria, Australia.ORCID 0000-0003-3425-9419
Shannon CurleyNational Serology Reference Laboratory , Fitzroy, Victoria, Australia.
Jing Jing CaiNational Serology Reference Laboratory , Fitzroy, Victoria, Australia.
Victorian Infectious Diseases Reference Laboratory · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceWe have previously highlighted the fact that hundreds of SARS-CoV-2 serology tests were released months after the onset of the COVID-19 pandemic. Of the hundreds of studies investigating the test kits' performance, few were comparative reports, using the same comprehensive sample set across multiple tests. Recently, we reported a comparative assessment of 35 rapid diagnostic tests (RDTs) or microtiter plate enzyme immunoassays (EIA) for use in low- and middle-income countries, using a large sample set from individuals with a history of COVID-19. Only a few tests meet WHO Target Product Profile performance requirements. This study reports on the performance of a further 25 automated SARS-CoV-2 immunoassays using the same panel of samples. The results highlight the better analytical and clinical performance of automated serology test kits compared with RDTs, and the importance of independent comparative assessments to inform the use and procurement of these tests for both diagnostic and epidemiological investigations.

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralCOVID-19 TestingHumansImmunoglobulin GPandemicsSensitivity and SpecificityAntibodies, ViralImmunoglobulin Ganti-SARS-CoV-2 antibodiesautomated assaysevaluationserology

Identifiers

PMID38018986
PMCPMC10783060
OpenAlexW4389136688

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.