Evidence map›Paper›PMID 36456014›Full record

Observational studyBMJ open2022

Prevalence and predictors of spontaneous preterm births in Nepal: findings from a prospective, population-based pregnancy cohort in rural Nepal-a secondary data analysis.

Seema Subedi, Elizabeth A Hazel, Diwakar Mohan, Scott Zeger, Luke C Mullany, James M Tielsch, Subarna K Khatry, Steven C LeClerq, Robert E Black, Joanne Katz

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01177111 (Impact of Sunflower Seed Oil Massage on Neonatal Mortality and Morbidity in Nepal), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 20% 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.

NCT01177111 phase3completednot on this map

Impact of Sunflower Seed Oil Massage on Neonatal Mortality and Morbidity in Nepal

TypeinterventionalSponsorJohns Hopkins Bloomberg School of Public HealthRan2010 to 2017Enrolled29,260ConditionsNeonatal Mortality, Neonatal SepsisArmsSunflower seed oil, Mustard seed oil
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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

10 authors at 2 institutions in 1 country.

Seema SubediDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA ssubedi2@jhu.edu.ORCID 0000-0002-6360-3998
Elizabeth A HazelDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-9176-3278
Diwakar MohanDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Scott ZegerDepartment of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Luke C MullanyDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
James M TielschDepartment of Global Health, George Washington University School of Public Health and Health Services, Washington, District of Columbia, USA.
Subarna K KhatryNepal Nutrition Intervention Project Sarlahi, Kathmandu, Nepal.
Steven C LeClerqDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Robert E BlackDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Joanne KatzDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Johns Hopkins University · USGeorge Washington University · US

Funding

Prioritization of modifiable risk factors for adverse pregnancy outcomes and neonatal mortality in rural NepalR01HD092411 · NICHD · JOHNS HOPKINS UNIVERSITY · PI KATZ, JOANNE · 2018 to 2020
$822k
NICHD NIH HHS R01 HD092411
6 · The paper itself

Abstract

objectivePreterm birth can have short-term and long-term complications for a child. Socioeconomic factors and pregnancy-related morbidities may be important to predict and prevent preterm births in low-resource settings. The objective of our study was to find prevalence and predictors of spontaneous preterm birth in rural Nepal.

designThis is a secondary observational analysis of trial data (registration number NCT01177111).

settingRural Sarlahi district, Nepal.

participants40 119 pregnant women enrolled from 9 September 2010 to 16 January 2017. OUTCOME MEASURES: The outcome variable is spontaneous preterm birth. Generalized Estimating Equations Poisson regression with robust variance was fitted to present effect estimates as risk ratios.

resultThe prevalence of spontaneous preterm birth was 14.5% (0.5% non-spontaneous). Characteristics not varying in pregnancy associated with increased risk of preterm birth were maternal age less than 18 years (adjusted risk ratio=1.13, 95% CI: 1.02 to 1.26); being Muslim (1.53, 1.16 to 2.01); first pregnancy (1.15, 1.04 to 1.28); multiple births (4.91, 4.20 to 5.75) and male child (1.10, 1.02 to 1.17). Those associated with decreased risk were maternal education >5 years (0.81, 0.73 to 0.90); maternal height ≥150 cm (0.89, 0.81 to 0.98) and being from wealthier families (0.83, 0.74 to 0.93). Pregnancy-related morbidities associated with increased risk of preterm birth were vaginal bleeding (1.53, 1.08 to 2.18); swelling (1.37, 1.17 to 1.60); high systolic blood pressure (BP) (1.47, 1.08 to 2.01) and high diastolic BP (1.41, 1.17 to 1.70) in the third trimester. Those associated with decreased risk were respiratory problem in the third trimester (0.86, 0.79 to 0.94); having poor appetite, nausea and vomiting in the second trimester (0.86, 0.80 to 0.92) and third trimester (0.86, 0.79 to 0.94); and higher weight gain from second to third trimester (0.89, 0.87 to 0.90).

conclusionThe prevalence of preterm birth is high in rural Nepal. Interventions that increase maternal education may play a role. Monitoring morbidities during antenatal care to intervene to reduce them through an effective health system may help reduce preterm birth.

Indexed as

Premature BirthAdolescentChildData AnalysisFemaleHumansInfant, NewbornMaleNepalPregnancyPrevalenceProspective Studiesepidemiologyobstetricspublic health

Identifiers

PMID36456014
PMCPMC9716942
OpenAlexW4310497705

What OpenQuestion holds

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LicenceCC BY
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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.