Evidence map›Paper›PMID 31801563›Full record

ArticleTrials2019

A double-masked placebo-controlled trial of azithromycin to prevent child mortality in Burkina Faso, West Africa: Community Health with Azithromycin Trial (CHAT) study protocol.

Ali Sié, Mamadou Ouattara, Mamadou Bountogo, Cheik Bagagnan, Boubacar Coulibaly, Valentin Boudo, Elodie Lebas, Jessica M Brogdon, Ying Lin, Till Bärnighausen and 5 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03676764 (Community Health Azithromycin Trial in Burkina Faso), which is not on this map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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.

NCT03676764 phase4completednot on this map

Community Health Azithromycin Trial in Burkina Faso

TypeinterventionalSponsorUniversity of California, San FranciscoRan2019 to 2023Enrolled77,664ConditionsChildhood MortalityArmsAzithromycin, Placebos
3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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  9. Rapid Reduction ofThe American journal of tropical medicine and hygiene · 2020
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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

15 authors.

Ali SiéCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Mamadou OuattaraCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Mamadou BountogoCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Cheik BagagnanCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Boubacar CoulibalyCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Valentin BoudoCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Elodie LebasFrancis I. Proctor Foundation, University of California, 513 Parnassus Ave, Room S334, San Francisco, CA, USA.
Jessica M BrogdonFrancis I. Proctor Foundation, University of California, 513 Parnassus Ave, Room S334, San Francisco, CA, USA.
Ying LinFrancis I. Proctor Foundation, University of California, 513 Parnassus Ave, Room S334, San Francisco, CA, USA.
Till BärnighausenHeidelberg Institute of Global Health (HIGH), Heidelberg, Germany.
Travis C PorcoFrancis I. Proctor Foundation, University of California, 513 Parnassus Ave, Room S334, San Francisco, CA, USA.
Thuy DoanFrancis I. Proctor Foundation, University of California, 513 Parnassus Ave, Room S334, San Francisco, CA, USA.
Thomas M LietmanFrancis I. Proctor Foundation, University of California, 513 Parnassus Ave, Room S334, San Francisco, CA, USA.
Catherine E OldenburgFrancis I. Proctor Foundation, University of California, 513 Parnassus Ave, Room S334, San Francisco, CA, USA. catherine.oldenburg@ucsf.edu.ORCID http://orcid.org/0000-0002-0763-399X
Étude CHAT Study Group

Funding

The Brown Initiative in HIV and AIDS Clinical Research for Minority CommunitiesR25MH083620 · NIMH · MIRIAM HOSPITAL · PI NUNN, AMY STEWART · 2008 to 2025
$3.7M
Bill and Melinda Gates Foundation OPP1187628NIMH NIH HHS R25 MH083620
6 · The paper itself

Abstract

backgroundBiannual, mass azithromycin distribution has previously been shown to reduce all-cause child mortality in sub-Saharan Africa. Subgroup analysis suggested that the strongest effects were in the youngest children, leading to the hypothesis that targeting younger age groups might be an effective strategy to prevent mortality. We present the methods of two randomized controlled trials designed to evaluate mass and targeted azithromycin distribution for the prevention of child mortality in Burkina Faso, West Africa. METHODS/

designThe Child Health with Azithromycin Treatment (CHAT) study consists of two nested, randomized controlled trials. In the first, communities are randomized in a 1:1 fashion to biannual, mass azithromycin distribution or placebo. The primary outcome is under-5 all-cause mortality measured at the community level. In the second, children attending primary healthcare facilities during the first 5-12 weeks of life for a healthy child visit (e.g., for vaccination) are randomized in a 1:1 fashion to a single orally administered dose of azithromycin or placebo. The primary outcome is all-cause mortality measured at 6 months of age. The trial commenced enrollment in August 2019. DISCUSSION: This study is expected to provide evidence on two health systems delivery approaches (mass and targeted treatment) for azithromycin to prevent all-cause child mortality. The results will inform global and national policies related to azithromycin for the prevention of child mortality.

trial registrationClinicalTrials.gov, ID: NCT03676764. Registered on 19 September 2018; prospectively registered pre results.

Indexed as

Child MortalityRandomized Controlled Trials as TopicAnti-Bacterial AgentsAzithromycinChild, PreschoolDouble-Blind MethodHumansInfantOutcome Assessment, Health CareSample SizeAnti-Bacterial AgentsAzithromycin

Identifiers

PMID31801563
PMCPMC6894235

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.