Evidence map›Paper›PMID 28722569›Full record

Trial reportThe American journal of tropical medicine and hygiene2017

Mass Azithromycin and Malaria Parasitemia in Niger: Results from a Community-Randomized Trial.

Kieran S O'Brien, Sun Y Cotter, Abdou Amza, Boubacar Kadri, Baido Nassirou, Nicole E Stoller, Zhaoxia Zhou, Chris Cotter, Sheila K West, Robin L Bailey and 4 more

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of tropical medicine and hygiene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Antibiotics for trachoma.The Cochrane database of systematic reviews · 2019
    Pooled it
  3. Trial
  4. Trial
  5. Trial
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  9. Article
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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

14 authors at 6 institutions in 3 countries.

Kieran S O'BrienFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, California.
Sun Y CotterFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, California.
Abdou AmzaProgramme FSS/Université Abdou Moumouni de Niamey, Programme National de Santé Oculaire, Niamey, Niger.
Boubacar KadriProgramme FSS/Université Abdou Moumouni de Niamey, Programme National de Santé Oculaire, Niamey, Niger.
Baido NassirouProgramme FSS/Université Abdou Moumouni de Niamey, Programme National de Santé Oculaire, Niamey, Niger.
Nicole E StollerFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, California.
Zhaoxia ZhouFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, California.
Chris CotterGlobal Health Group, University of California San Francisco, San Francisco, California.
Sheila K WestDana Center for Preventive Ophthalmology, Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland.
Robin L BaileyClinical Research Unit, Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Philip J RosenthalDepartment of Medicine, University of California San Francisco, California.
Bruce D GaynorDepartment of Ophthalmology, University of California San Francisco, San Francisco, California.
Travis C PorcoDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
Thomas M LietmanDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
San Francisco Foundation · USUniversity of California, San Francisco · USAbdou Moumouni University · NEGlobal Brain Health Institute · USJohns Hopkins University · USLondon School of Hygiene & Tropical Medicine · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies designed to determine the effects of mass administration of azithromycin on trachoma have suggested that mass azithromycin distributions may also reduce the prevalence of malaria. These studies have typically examined the impact of a small number of treatments over short durations. In this prespecified substudy of a cluster-randomized trial for trachoma, we compared malaria parasitemia prevalence in 24 communities in Niger randomized to receive either annual or biannual mass azithromycin distributions over 3 years. The 12 communities randomized to annual azithromycin received three treatments during the high-transmission season, and the 12 communities randomized to biannual azithromycin received a total of six treatments: three during the high-transmission season and three during the low-transmission season. Blood samples were taken to assess malariometric indices among children in all study communities at a single time point during the high-transmission season after 3 years of the intervention. No significant differences were identified in malaria parasitemia, parasite density, or hemoglobin concentration between the annual and biannual treatment arms. When compared with annual mass azithromycin alone, additional mass azithromycin distributions given during the low-transmission season did not significantly reduce the subsequent prevalence of malaria parasitemia or parasite density after 3 years, as measured during the high-transmission season.

Indexed as

Anti-Bacterial AgentsAzithromycinFemaleHumansInfantMalariaMaleNigerParasitemiaTrachomaAnti-Bacterial AgentsAzithromycin

Identifiers

PMID28722569
PMCPMC5590561
OpenAlexW2741872984

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.