Evidence map›Paper›PMID 32671537›Full record

ArticleMaternal and child health journal2020

Using Prenatal Blood Samples to Evaluate COVID-19 Rapid Serologic Tests Specificity.

Jackeline Alger, Maria Luisa Cafferata, Tito Alvarado, Alvaro Ciganda, Arturo Corrales, Hans Desale, Arnaud Drouin, Dahlene Fusco, Jorge Garcia, Luz Gibbons and 11 more

Open access · bronzeAbstract read
In one paragraph

Article in Maternal and child health journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 39% 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, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

21 authors at 6 institutions in 3 countries.

Jackeline AlgerPlataforma Todos Contra el COVID-19, Tegucigalpa, Honduras.
Maria Luisa CafferataInstituto de Efectividad Clínica y Sanitaria, Buenos Aires, Argentina.
Tito AlvaradoPlataforma Todos Contra el COVID-19, Tegucigalpa, Honduras.
Alvaro CigandaUnidad de Investigación Clínica y Epidemiológica, Montevideo, Uruguay.
Arturo CorralesPlataforma Todos Contra el COVID-19, Tegucigalpa, Honduras.
Hans DesaleDepartment of Tropical Medicine, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Arnaud DrouinDepartment of Medicine, Tulane School of Medicine, New Orleans, LA, USA.
Dahlene FuscoDepartment of Medicine, Tulane School of Medicine, New Orleans, LA, USA.
Jorge GarciaDepartamento de Laboratorio Clínico, Hospital Escuela, Tegucigalpa, Honduras.
Luz GibbonsInstituto de Efectividad Clínica y Sanitaria, Buenos Aires, Argentina.
Emily HarvilleDepartment of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Wendy LopezDepartamento de Laboratorio Clínico, Hospital Escuela, Tegucigalpa, Honduras.
Ivette LorenzanaPlataforma Todos Contra el COVID-19, Tegucigalpa, Honduras.
Fausto Muñoz-LaraPlataforma Todos Contra el COVID-19, Tegucigalpa, Honduras.
Elsa PalouPlataforma Todos Contra el COVID-19, Tegucigalpa, Honduras.
Eduardo RetesPlataforma Todos Contra el COVID-19, Tegucigalpa, Honduras.
Manuel SierraPlataforma Todos Contra el COVID-19, Tegucigalpa, Honduras.
Candela StellaInstituto de Efectividad Clínica y Sanitaria, Buenos Aires, Argentina.
Xu XiongDepartment of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Lysien I ZambranoPlataforma Todos Contra el COVID-19, Tegucigalpa, Honduras.
Pierre BuekensDepartment of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA. pbuekens@tulane.edu.ORCID http://orcid.org/0000-0002-4294-8559
Tulane University · USNational Autonomous University of Honduras · HNInstituto de Efectividad Clínica y Sanitaria · ARUniversidad Metropolitana de Honduras · HNNational Autonomous University of Honduras · HNUniversidad Católica de Honduras Nuestra Señora Reina de la Paz · HN

Funding

Vysnova Partners SC-2018-3045-TU
6 · The paper itself

Abstract

introductionBackground cross-reactivity with other coronaviruses may reduce the specificity of COVID-19 rapid serologic tests. The vast majority of women attend prenatal care, which is a unique source of population-based blood samples appropriate for validation studies. We used stored 2018 serum samples from an existing pregnancy cohort study to evaluate the specificity of COVID-19 serologic rapid diagnostic tests.

methodsWe randomly selected 120 stored serum samples from pregnant women enrolled in a cohort in 2018 in Tegucigalpa, Honduras, at least 1 year before the COVID-19 pandemic. We used stored serum to evaluate four lateral flow rapid diagnostic tests, following manufacturers' instructions. Pictures were taken for all tests and read by two blinded trained evaluators.

resultsWe evaluated 120, 80, 90, and 90 samples, respectively. Specificity for both IgM and IgG was 100% for the first two tests (95% confidence intervals [CI] 97.0-100 and 95.5-100, respectively). The third test had a specificity of 98.9% (95% CI 94.0-100) for IgM and 94.4% (95% CI 87.5-98.2) for IgG. The fourth test had a specificity of 88.9% (95% CI 80.5-94.5) for IgM and 100% (95% CI 96.0-100) for IgG. DISCUSSION: COVID-19 serologic rapid tests are of variable specificity. Blood specimens from sentinel prenatal clinics provide an opportunity to validate serologic tests with population-based samples.

Indexed as

AdolescentAdultBetacoronavirusClinical Laboratory TechniquesCohort StudiesCoronavirus InfectionsCOVID-19COVID-19 TestingFemaleHumansPandemicsPneumonia, ViralPredictive Value of TestsPregnancyPrenatal CareSARS-CoV-2COVID-19 diagnostic testingPregnancyPrenatal careSerologic tests

Identifiers

PMID32671537
PMCPMC7363497
OpenAlexW3043198708

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.