Evidence map›Paper›PMID 33790370›Full record

Trial reportScientific reports2021

Comparison of platforms for testing antibodies to Chlamydia trachomatis antigens in the Democratic Republic of the Congo and Togo.

Sarah Gwyn, Marcel S Awoussi, Ana Bakhtiari, Rachel N Bronzan, Kathryn Crowley, Emma M Harding-Esch, Yao Kassankogno, Janvier N Kilangalanga, Felix Makangila, Sylvain Mupoyi and 10 more

Erratum issuedOpen access · goldAbstract readClinical TrialComparative StudyMulticenter Study
In one paragraph

Trial report in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Integrated serological surveillance of communicable diseases in the Paraguayan Chaco, 2019.Revista panamericana de salud publica = Pan American journal of public health · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 11 institutions in 5 countries.

Sarah GwynDivision of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, 1600 Clifton Rd NE B23 Room 10-113, Atlanta, GA, 30029, USA. yme8@cdc.gov.
Marcel S AwoussiMinistère de la Santé et de L'Hygiène Publique, Lomé, Togo.
Ana BakhtiariTask Force for Global Health, Decatur, GA, USA.
Rachel N BronzanHealth and Development International, Newburyport, MA, USA.
Kathryn CrowleyRTI International, Washington, DC, USA.
Emma M Harding-EschClinical Research Department, London School of Hygiene & Tropical Medicine, London, UK.
Yao KassankognoHealth and Development International, Lome, Togo.
Janvier N KilangalangaSaint Joseph Hospital, Kinshasa, Democratic Republic of the Congo.
Felix MakangilaMinistry of Public Health, Kinshasa, Democratic Republic of the Congo.
Sylvain MupoyiMinistry of Public Health, Kinshasa, Democratic Republic of the Congo.
Jeremiah NgondiRTI International, Washington, DC, USA.
Bonaventure NgoyiRTI International, Kinshasa, Democratic Republic of the Congo.
Stephanie PalmerFHI360, Washington, DC, USA.
Jessica M RandallEmory University, Atlanta, GA, USA.
Anders SeimHealth and Development International, Newburyport, MA, USA.
Anthony W SolomonDepartment of Control of Neglected Tropical Diseases, World Health Organization, Geneva, Switzerland.
Raymond StewartRTI International, Kinshasa, Democratic Republic of the Congo.
Kwamy TogbeyProgramme National des Maladies Tropicales Négligées, Ministère de la Santé et de l'Hygiène Publique, Lomé, Togo.
Pitchouna A UvonMinistry of Public Health, Kinshasa, Democratic Republic of the Congo.
Diana L MartinDivision of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, 1600 Clifton Rd NE B23 Room 10-113, Atlanta, GA, 30029, USA.
Ministry of Public Health · CDDivision of Parasitic Diseases and Malaria · USHealth & Development International · USRTI International · USTogolese Ministry of Health · TGEmory University · USFamily Health International 360 · USKinshasa General Hospital · CDLondon School of Hygiene & Tropical Medicine · GBThe Task Force for Global Health · USWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

Trachoma, caused by repeated ocular infection with Chlamydia trachomatis (Ct), is targeted for elimination as a public health problem. Serological testing for antibodies is promising for surveillance; determining useful thresholds will require collection of serological data from settings with different prevalence of the indicator trachomatous inflammation-follicular (TF). Dried blood spots were collected during trachoma mapping in two districts each of Togo and Democratic Republic of the Congo. Anti-Ct antibodies were detected by multiplex bead assay (MBA) and three different lateral flow assays (LFA) and seroprevalence and seroconversion rate (SCR) were determined. By most tests, the district with > 5% TF (the elimination threshold) had five-sixfold higher seroprevalence and tenfold higher SCR than districts with < 5% TF. The agreement between LFA and MBA was improved using a black latex developing reagent. These data show optimization of antibody tests against Ct to better differentiate districts above or below trachoma elimination thresholds.

Indexed as

TrachomaAntibodies, BacterialAntigens, BacterialChildChild, PreschoolChlamydia trachomatisDemocratic Republic of the CongoFemaleHumansInfantMalePrevalenceSeroepidemiologic StudiesSerologic TestsTogoAntibodies, BacterialAntigens, Bacterial

Identifiers

PMID33790370
PMCPMC8012353
OpenAlexW3146628020

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.