Evidence map›Paper›PMID 35970285›Full record

ArticleThe American journal of tropical medicine and hygiene2022

An Assessment of a Rapid SARS-CoV-2 Antigen Test in Bangladesh.

Zannat Kawser, Mohabbat Hossain, Sara Suliman, Shahin Lockman, Jesse Gitaka, Gama Bandawe, Redwan Rahmat, Imrul Hasan, Abu Bakar Siddik, Mokibul Hassan Afrad and 7 more

Open access · hybridAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 27% 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

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

  1. Rapid, point-of-care antigen tests for diagnosis of SARS-CoV-2 infection.The Cochrane database of systematic reviews · 2025
    Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. 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

17 authors at 9 institutions in 4 countries.

Zannat KawserInstitute for Developing Science and Health Initiatives (ideSHi), Dhaka, Bangladesh.
Mohabbat HossainInstitute for Developing Science and Health Initiatives (ideSHi), Dhaka, Bangladesh.
Sara SulimanDivision of Experimental Medicine, Zuckerberg San Francisco General Hospital, San Francisco, California.
Shahin LockmanDivision of Infectious Diseases, Brigham and Women's Hospital, Boston, Massachusetts.
Jesse GitakaDirectorate of Research and Innovation, Mount Kenya University, Thika, Kenya.
Gama BandaweBiological Sciences Department, Academy of Medical Sciences, Malawi University of Science and Technology, Thyolo, Malawi.
Redwan RahmatInstitute for Developing Science and Health Initiatives (ideSHi), Dhaka, Bangladesh.
Imrul HasanInstitute for Developing Science and Health Initiatives (ideSHi), Dhaka, Bangladesh.
Abu Bakar SiddikInstitute for Developing Science and Health Initiatives (ideSHi), Dhaka, Bangladesh.
Mokibul Hassan AfradInternational Center for Diarrheal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Mohammed Ziaur RahmanInternational Center for Diarrheal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Glenn MillerMass General Brigham Center for COVID Innovation, Boston, Massachusetts.
David R WaltMass General Brigham Center for COVID Innovation, Boston, Massachusetts.
Louise C IversDepartment of Global Health and Social Medicine, Harvard Medical School, Boston Massachusetts.
Regina C LaRocqueMGH Center for Global Health, Massachusetts General Hospital, Boston, Massachusetts.
Jason B HarrisMGH Center for Global Health, Massachusetts General Hospital, Boston, Massachusetts.
Firdausi QadriInternational Center for Diarrheal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Bangladesh Institute of Development Studies · BDInternational Centre for Diarrhoeal Disease Research · BDMassachusetts General Hospital · USMass General Brigham · USBrigham and Women's Hospital · USCenter for Global Health · USMalawi University of Science and Technology · MWMount Kenya University · KESan Francisco General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of SARS-CoV-2 infection is crucial to prevent its spread. This study aimed to document test sensitivity/specificity, correlation with cycle threshold value from polymerase chain reaction (PCR), fitness-for-use in different populations and settings, and user perspectives that could inform large-scale implementation. In this study, we evaluated the performance of a rapid antigen detection test, BD Veritor, and compared this (and another rapid test, Standard Q) against reverse transcription PCR (RT-PCR) in terms of sensitivity and specificity in 130 symptomatic and 130 asymptomatic adults. In addition, we evaluated the suitability and ease of use of the BD Veritor test in a subsample of study participants (n = 42) and implementers (n = 5). At 95% confidence interval, the sensitivity of the BD Veritor and Standard Q test were 70% and 63% in symptomatic and 87% and 73% in asymptomatic individuals, respectively, regarding positive SARS-CoV-2 RT-PCR results. Overall, the BD Veritor test was 78% sensitive and 99.5% specific compared with RT-PCR irrespective of the cycle threshold. This warrants large field evaluation as well as use of the rapid antigen test for quick assessment of SARS-CoV-2 for containment of epidemics in the country.

Indexed as

COVID-19SARS-CoV-2AdultAntigens, ViralBangladeshCOVID-19 TestingHumansSensitivity and SpecificityAntigens, Viral

Identifiers

PMID35970285
PMCPMC9651516
OpenAlexW4291901976

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.