Evidence map›Paper›PMID 28291790›Full record

Trial reportPloS one2017

Anaemia among children in a drought affected community in south-central Ethiopia.

Taye Gari, Eskindir Loha, Wakgari Deressa, Tarekegn Solomon, Hanibale Atsbeha, Meselech Assegid, Alemayehu Hailu, Bernt Lindtjørn

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
4.0field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 4 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

8 authors at 3 institutions in 2 countries.

Taye GariSchool of Public and Environmental Health, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.ORCID http://orcid.org/0000-0003-4091-4491
Eskindir LohaSchool of Public and Environmental Health, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Wakgari DeressaDepartment of Preventive Medicine, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Tarekegn SolomonSchool of Public and Environmental Health, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Hanibale AtsbehaSchool of Medicine, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Meselech AssegidCentre for International Health, University of Bergen, Bergen, Norway.
Alemayehu HailuCentre for International Health, University of Bergen, Bergen, Norway.
Bernt LindtjørnCentre for International Health, University of Bergen, Bergen, Norway.
Hawassa University · ETUniversity of Bergen · NOAddis Ababa University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs part of a field trial (PACTR201411000882128) to provide evidence on the combined use of long-lasting insecticidal nets and indoor residual spray for malaria prevention, we measured haemoglobin values among children aged 6 to 59 months. The aim of this study was to estimate the prevalence of anaemia, and to determine the risk factors of anaemia and change in haemoglobin value in Adami Tullu district in south-central Ethiopia.

methodsRepeated cross-sectional surveys among 2984 children in 2014 and 3128 children in 2015; and a cohort study (malaria as exposure and anaemia as outcome variable) were conducted. The study area faced severe drought and food shortages in 2015. Anaemia was diagnosed using HemoCue Hb 301, and children with haemoglobin <11 g/dl were classified as anaemic. Multilevel and Cox regression models were applied to assess predictors of anaemia.

resultsThe prevalence of anaemia was 28.2% [95% Confidence Interval (CI), 26.6-29.8] in 2014 and increased to 36.8% (95% CI, 35.1-38.5) in 2015 (P<0.001). The incidence of anaemia was 30; (95% CI, 28-32) cases per 100 children years of observation. The risk of anaemia was high (adjusted Hazard Ratio = 10) among children with malaria. Children from poor families [Adjusted Odds Ratio (AOR); 1.3; 95% CI, 1.1-1.6)], stunted children (AOR 1.5; 95% CI; 1.2-1.8), and children aged less than 36 months (AOR; 2.0; 95% CI, 1.6-2.4) were at risk of anaemia compared to their counterparts. There was no significant difference in risk of anaemia among the trial arms.

conclusionsYoung age, stunting, malaria and poverty were the main predictors of anaemia. An increase in the prevalence of anaemia was observed over a year, despite malaria prevention effort, which could be related to the drought and food shortage. Therefore, conducting trials in settings prone to drought and famine may bring unexpected challenges.

Indexed as

DroughtsAnemiaChildChild, PreschoolCluster AnalysisEthiopiaFemaleHumansInfantMale

Identifiers

PMID28291790
PMCPMC5349654
OpenAlexW2621921234

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.