Evidence map›Paper›PMID 21813854›Full record

ArticleThe American journal of tropical medicine and hygiene2011

Drinking water quality, feeding practices, and diarrhea among children under 2 years of HIV-positive mothers in peri-urban Zambia.

Rachel Peletz, Michelo Simuyandi, Kelvin Sarenje, Kathy Baisley, Paul Kelly, Suzanne Filteau, Thomas Clasen

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.0field-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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Follow-up study to assess the use and performance of household filters in Zambia.The American journal of tropical medicine and hygiene · 2013
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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

7 authors at 1 institution in 1 country.

Rachel PeletzLondon School of Hygiene and Tropical Medicine, London, UK. rachel.peletz@lshtm.ac.uk
Michelo Simuyandi
Kelvin Sarenje
Kathy Baisley
Paul Kelly
Suzanne Filteau
Thomas Clasen
London School of Hygiene & Tropical Medicine · GB

Funding

Medical Research Council G0700837
6 · The paper itself

Abstract

In low-income settings, human immunodeficiency virus (HIV)-positive mothers must choose between breastfeeding their infants and risking transmission of HIV or replacement feeding their infants and risking diarrheal disease from contaminated water. We conducted a cross-sectional study of children < 2 years of age of 254 HIV-positive mothers in peri-urban Zambia to assess their exposure to waterborne fecal contamination. Fecal indicators were found in 70% of household drinking water samples. In a multivariable analysis, factors associated with diarrhea prevalence in children < 2 years were mother having diarrhea (adjusted odds ratio [aOR] = 5.18, 95% confidence interval [CI] = 1.65-16.28), child given water in the past 2 days (aOR = 4.08, 95% CI = 1.07-15.52), child never being breastfed (aOR = 2.67, 95% CI = 1.06-6.72), and rainy (versus dry) season (aOR = 4.60, 95% CI = 1.29-16.42). Children born to HIV-positive mothers were exposed to contaminated water through direct intake of drinking water, indicating the need for interventions to ensure microbiological water quality.

Indexed as

AdolescentAdultChildDiarrheaFemaleHIV InfectionsHumansInfantInfant FoodMiddle AgedPrevalenceRisk FactorsWater MicrobiologyWater SupplyYoung AdultZambia

Identifiers

PMID21813854
PMCPMC3144832
OpenAlexW2110513250

What OpenQuestion holds

Textmetadata
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.