Evidence map›Paper›PMID 32793916›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Evaluation of Serological SARS-CoV-2 Lateral Flow Assays for Rapid Point of Care Testing.

Steven E Conklin, Kathryn Martin, Yukari C Manabe, Haley A Schmidt, Morgan Keruly, Ethan Klock, Charles S Kirby, Owen R Baker, Reinaldo E Fernandez, Yolanda J Eby and 11 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed, 18 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 2 institutions in 1 country.

Steven E Conklin
Kathryn Martin
Yukari C Manabe
Haley A Schmidt
Morgan Keruly
Ethan Klock
Charles S Kirby
Owen R Baker
Reinaldo E Fernandez
Yolanda J Eby
Justin Hardick
Kathryn Shaw-Saliba
Richard E Rothman
Patrizio P Caturegli
Andrew R Redd
Aaron Ar Tobian
Evan M Bloch
H Benjamin Larman
Thomas C Quinn
William Clarke
Oliver Laeyendecker
Johns Hopkins University · USNational Institutes of Health · US

Funding

TrainingU54EB007958 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Susan Anne Tuddenham · 2007 to 2026
$34.6M
The Malaria Transfusion Risk (MATRix) StudyK23HL151826 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BLOCH, EVAN MARTIN · 2020 to 2024
$882k
A prospective evaluation of chronic B.microti infection in seroreactive blood donR21HL117140 · NHLBI · VITALANT · PI BLOCH, EVAN MARTIN · 2013 to 2014
$452k
Epidemiologic and Immunologic Investigations of SARS-CoV-2 (COVID-19) InfectionsZIAAI001286 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI QUINN, THOMAS · 2020 to 2023
$349k
NHLBI NIH HHS K23 HL151826NIBIB NIH HHS U54 EB007958
6 · The paper itself

Abstract

backgroundRapid point-of-care tests (POCTs) for SARS-CoV-2-specific antibodies vary in performance. A critical need exists to perform head-to-head comparison of these assays.

methodsPerformance of fifteen different lateral flow POCTs for the detection of SARS-CoV-2-specific antibodies was performed on a well characterized set of 100 samples. Of these, 40 samples from known SARS-CoV-2-infected, convalescent individuals (average of 45 days post symptom onset) were used to assess sensitivity. Sixty samples from the pre-pandemic era (negative control), that were known to have been infected with other respiratory viruses (rhinoviruses A, B, C and/or coronavirus 229E, HKU1, NL63 OC43) were used to assess specificity. The timing of seroconversion was assessed on five POCTs on a panel of 272 longitudinal samples from 47 patients of known time since symptom onset.

resultsFor the assays that were evaluated, the sensitivity and specificity for any reactive band ranged from 55%-97% and 78%-100%, respectively. When assessing the performance of the IgM and the IgG bands alone, sensitivity and specificity ranged from 0%-88% and 80%-100% for IgM and 25%-95% and 90%-100% for IgG. Longitudinal testing revealed that median time post symptom onset to a positive result was 7 days (IQR 5.4, 9.8) for IgM and 8.2 days (IQR 6.3 to 11.3).

conclusionThe testing performance varied widely among POCTs with most variation related to the sensitivity of the assays. The IgM band was most likely to misclassify pre-pandemic samples. The appearance of IgM and IgG bands occurred almost simultaneously.

Identifiers

PMID32793916
PMCPMC7418731
OpenAlexW3047672118

What OpenQuestion holds

Textmetadata
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.