Evidence map›Paper›PMID 37186577›Full record

ArticlePLOS global public health2023

Infant mortality and growth failure after oral azithromycin among low birthweight and underweight neonates: A subgroup analysis of a randomized controlled trial.

Mamadou Bountogo, Ali Sié, Alphonse Zakane, Guillaume Compaoré, Thierry Ouédraogo, Jessica Brogdon, Elodie Lebas, Fanice Nyatigo, Melissa M Medvedev, Benjamin F Arnold and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03682653 (Neonates and Azithromycin, an Innovation in the Treatment of Children in Burkina Faso), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 31% 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.

NCT03682653 phase4completednot on this map

Neonates and Azithromycin, an Innovation in the Treatment of Children in Burkina Faso

TypeinterventionalSponsorUniversity of California, San FranciscoRan2019 to 2022Enrolled21,832ConditionsChildhood MortalityArmsAzithromycin, Placebo
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  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

13 authors at 2 institutions in 3 countries.

Mamadou BountogoCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.ORCID https://orcid.org/0000-0001-5010-1617
Ali SiéCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Alphonse ZakaneCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Guillaume CompaoréCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Thierry OuédraogoCentre de Recherche en Santé de Nouna, Nouna, Burkina Faso.
Jessica BrogdonFrancis I Proctor Foundation, University of California, San Francisco, San Francisco, California, United States of America.
Elodie LebasFrancis I Proctor Foundation, University of California, San Francisco, San Francisco, California, United States of America.
Fanice NyatigoFrancis I Proctor Foundation, University of California, San Francisco, San Francisco, California, United States of America.
Melissa M MedvedevInstitute for Global Health Sciences, University of California, San Francisco, San Francisco, California, United States of America.
Benjamin F ArnoldFrancis I Proctor Foundation, University of California, San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0000-0001-6105-7295
Thomas M LietmanFrancis I Proctor Foundation, University of California, San Francisco, San Francisco, California, United States of America.
Catherine E OldenburgFrancis I Proctor Foundation, University of California, San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0000-0002-0763-399X
NAITRE Study Team
University of California, San Francisco · USCentre de Recherche en Santé de Nouna · BF

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow birthweight (birthweight <2500 grams, g) and underweight (weight-for-age Z-score, WAZ, < -2) infants have higher risk of poor outcomes compared to their well-nourished peers. We evaluated the role of azithromycin for reducing mortality and improving growth outcomes in low birthweight and/or underweight infants.

methodsInfants aged 8-27 days of age weighing ≥2500 g at enrollment in Burkina Faso were randomized 1:1 to a single, oral dose of azithromycin (20 mg/kg) or matching placebo. We evaluated mortality and anthropometric outcomes in four subgroups: 1) both low birthweight and underweight at enrollment; 2) low birthweight-only; 3) underweight-only; 4) neither low birthweight nor underweight.

findingsOf 21,832 enrolled infants, 21,320 (98%) had birthweight measurements and included in this analysis. Of these, 747 (3%) were both low birthweight and underweight, 972 (5%) were low birthweight-only, 825 (4%) were underweight-only, and 18,776 (88%) were neither low birthweight nor underweight. Infants who were both low birthweight and underweight receiving azithromycin had lower odds of underweight at 6 months compared to placebo (OR 0.65, 95% CI 0.44 to 0.95), but the treatment group by subgroup interaction was not statistically significant (P = 0.06). We did not find evidence of a difference between groups for other outcomes in any subgroup.

interpretationAzithromycin may have some growth-promoting benefits for the highest risk infants, but we were unable to demonstrate a difference in most outcomes in low birthweight and underweight infants. As a secondary analysis of a trial, this study was underpowered for rare outcomes such as mortality.

trial registrationClinicalTrials.gov NCT03682653.

Identifiers

PMID37186577
PMCPMC10184901
OpenAlexW4376605271

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.