Article in Transactions of the Royal Society of Tropical Medicine and Hygiene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 50% 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
1 citing paper in PubMed, 3 citations in OpenAlex.
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
7 authors at 5 institutions in 6 countries.
François Freddy AtebaMalaria Research and Training Center & Department of Public Health Education and Research of the Faculty of Medicine and Odonto-Stomatology, University of Sciences, Techniques and Technologies of Bamako, BP 1805 Point G Bamako, Mali.
Seydou DoumbiaMalaria Research and Training Center & Department of Public Health Education and Research of the Faculty of Medicine and Odonto-Stomatology, University of Sciences, Techniques and Technologies of Bamako, BP 1805 Point G Bamako, Mali.
Feiko O Ter KuileLiverpool School of Tropical Medicine, Department of Clinical Sciences, Pembroke Place, Liverpool L3 5QA, UK.
Dianne J TerlouwLiverpool School of Tropical Medicine, Department of Clinical Sciences, Pembroke Place, Liverpool L3 5QA, UK.
Genevieve LefebvreDepartment of Mathematics, University of Quebec at Montreal (UQAM), Montréal, QC H2X 3Y7, Canada.
Simon KariukiCentre for Global Health Research, Kenya Medical Research Institute (KEMRI), P.O. Box 1578, 40100 Kisumu, Kenya.
Dylan S SmallDepartment of Statistics, Wharton School, University of Pennsylvania, 464 Jon M. Huntsman Hall 3730 Walnut Street Philadelphia, PA 19104 Philadelphia, PA, USA.
Kenya Medical Research Institute · KEUniversité du Québec à Montréal · CAHuntsman (United States) · USLiverpool School of Tropical Medicine · GBUniversity of Bamako · ML
Funding
Sequencing and Genomics CoresU19AI089696 · NIAID · TULANE UNIVERSITY OF LOUISIANA · PI KOITA, OUSMANE ALIOU · 2010 to 2016
$10.6M
Multidisciplinary Implementation Research for malaria control and elimination in West AfricaU19AI129387 · NIAID · UNIV OF SCIENCES, TECH & TECH OF BAMAKO · PI SEYDOU DOUMBIA · 2017 to 2026
$8.2M
Training Program on Operational and Health Services Research for Malaria in MaliD43TW008652 · FIC · UNIV OF SCIENCES, TECH & TECH OF BAMAKO · PI SEYDOU DOUMBIA, Alexandre Delamou · 2010 to 2026
$3.1M
West African Center of Excellence for Global Health Bioinformatics Research TrainingU2RTW010673 · FIC · UNIV OF SCIENCES, TECH & TECH OF BAMAKO · PI DOUMBIA, SEYDOU, LI, JIAN · 2017 to 2021
backgroundPrevious studies have found mixed evidence for an effect of malaria on stunting, but have suffered from concerns about confounding and/or power. Currently, an effect of malaria on stunting is not included in the Lives Saved Tool (LiST) model.
methodsWe used instrumental variables regression with the sickle cell trait and random assignment to bednets as instruments in the analysis of data on children aged 0-2 y from a bednet trial in western Kenya.
resultsWe estimated that one additional clinical malaria episode per year increases the odds of a child being stunted by 6% (OR estimate: 1.06, 95% CI 1.01 to 1.11).
conclusionsOur finding that malaria affects stunting suggests that an effect of malaria on stunting in young children should be considered in the LiST model.
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.
The effect of malaria on stunting: an instrumental variables approach. · full record | OpenQuestion