Evidence map›Paper›PMID 34875052›Full record

Trial reportInternational journal of epidemiology2022

Prevalence, risk factors and short-term consequences of adverse birth outcomes in Zimbabwean pregnant women: a secondary analysis of a cluster-randomized trial.

Bernard Chasekwa, Robert Ntozini, James A Church, Florence D Majo, Naume Tavengwa, Batsirai Mutasa, Christie Noble, Nadia Koyratty, John A Maluccio, Andrew J Prendergast and 3 more

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  11. The culture of experimentation in epidemiology-50 years later.International journal of epidemiology · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 3 countries.

Bernard ChasekwaZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.ORCID 0000-0001-8080-7573
Robert NtoziniZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
James A ChurchBlizard Institute, Queen Mary University of London, London, UK.
Florence D MajoZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Naume TavengwaZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Batsirai MutasaZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Christie NobleBlizard Institute, Queen Mary University of London, London, UK.
Nadia KoyrattyDepartment of Population Medicine and Diagnostics, Cornell University, Ithaca, NY, USA.
John A MaluccioDepartment of Economics, Middlebury College, Middlebury, VT, USA.
Andrew J PrendergastZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Jean H HumphreyZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Laura E SmithZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Sanitation Hygiene Infant Nutrition Efficacy (SHINE) Trial Team
Zvitambo Institute for Maternal and Child Health Research · ZWCornell University · USJohns Hopkins University · USQueen Mary University of London · GBMiddlebury College · US

Funding

Effect of a sanitation & nutrition intervention on HIV-exposed infant healthR01HD060338 · NICHD · JOHNS HOPKINS UNIVERSITY · PI HUMPHREY, JEAN HAWES · 2008 to 2012
$2.0M
NICHD NIH HHS R01 HD060338Wellcome Trust 093768/Z/10/ZWellcome Trust 108065/Z/15/ZWellcome Trust 203905/Z/16/Z
6 · The paper itself

Abstract

backgroundGlobally, 15 million children are born preterm each year and 10.7 million are born at term but with low birthweight (<2500 g).

methodsThe Sanitation Hygiene Infant Nutrition Efficacy (SHINE) cluster-randomized trial enrolled 5280 pregnant women between 22 November 2012 and 27 March 2015 to test the impact of improved water supply, sanitation and hygiene, and improved infant feeding, on child growth and anaemia. We conducted a secondary analysis to estimate the prevalence and risk factors of miscarriage, stillbirth, preterm birth, size small for gestational age (SGA), low birthweight (LBW), perinatal mortality, and neonatal mortality, and to estimate the effects of adverse birth outcomes on infant survival and growth.

resultsThe prevalence of adverse birth outcomes was: miscarriage: 5.0% [95% confidence interval (CI), 4.4, 5.7]; stillbirth: 2.3% (95% CI 1.9, 2.7); preterm birth: 18.2% (95% CI 16.9, 19.5); SGA: 16.1% (95% CI 15.0, 17.3); LBW: 9.8% (95% CI 9.0, 10.7); and neonatal mortality: 31.4/1000 live births (95% CI 26.7, 36.5). Modifiable risk factors included maternal HIV infection, anaemia, lack of antenatal care and non-institutional delivery. Preterm infants had higher neonatal mortality [risk ratio (RR): 6.1 (95% CI 4.0, 9.2)], post-neonatal infant mortality [hazard ratio (HR): 2.1 (95% CI 1.1, 4.1)] and stunting at 18 months of age [RR: 1.5 (95% CI 1.4, 1.7)] than term infants; 56% of stillbirths and 57% of neonatal deaths were among preterm births.

conclusionsNeonatal mortality and stillbirth are high in Zimbabwe and appear to be driven by high preterm birth. Interventions for primary prevention of preterm birth and strengthened management of preterm labour and ill and small neonates are required to reduce neonatal mortality in Zimbabwe and other African countries with similar profiles.

Indexed as

Abortion, SpontaneousHIV InfectionsPregnancy ComplicationsPremature BirthBirth WeightChildFemaleHumansInfant, NewbornInfant, PrematurePregnancyPregnant PeoplePrevalenceRisk FactorsSouthern African PeopleStillbirthlow birthweightMiscarriageneonatal mortalityobstetric carepreterm birthstillbirthZimbabwe

Identifiers

PMID34875052
PMCPMC9749708
OpenAlexW4200450345

What OpenQuestion holds

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LicenceCC BY
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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.