Evidence map›Paper›PMID 30462674›Full record

ArticlePloS one2018

Rates and determinants of neonatal mortality in two rural sub-districts of Sylhet, Bangladesh.

Gulam Muhammed Al Kibria, Rasheda Khanam, Dipak Kumar Mitra, Arif Mahmud, Nazma Begum, Syed Mamun Ibne Moin, Samir Kumar Saha, Abdullah Baqui, Projahnmo Study Group in Bangladesh

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
5.1field-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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  17. Differential and Determinants of Neonatal Mortality: A Comparative Study in Northern and Southern Regions of India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
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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

9 authors at 4 institutions in 2 countries.

Gulam Muhammed Al KibriaDepartment of Epidemiology and Public Health, University of Maryland Baltimore, Baltimore, MD, United States of America.ORCID 0000-0002-7037-6658
Rasheda KhanamInternational Center for Maternal and Newborn Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Dipak Kumar MitraIndependent University, Dhaka, Bangladesh.
Arif MahmudInternational Center for Maternal and Newborn Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Nazma BegumInternational Center for Maternal and Newborn Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Syed Mamun Ibne MoinInternational Center for Maternal and Newborn Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Samir Kumar SahaDepartment of Microbiology, Dhaka Shishu Hospital, Dhaka, Bangladesh.
Abdullah BaquiInternational Center for Maternal and Newborn Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Projahnmo Study Group in Bangladesh
Johns Hopkins University · USBangladesh Shishu (Children) Hospital & Institute · BDIndependent University · BDUniversity of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionReducing neonatal mortality rate (NMR) is a challenge in many low- and middle-income countries including Bangladesh. In 2014, the estimated NMR in this country was 28 per 1,000 live births. This rate is higher in rural regions compared to the national average. Currently, Sylhet Division has the highest NMR in Bangladesh. Investigating rates and determinants of neonatal mortality in rural regions of this high-risk division is particularly important to implement evidence-based programs. This study examined rates and determinants of neonatal deaths in a large rural cohort in Sylhet Division.

methodsWe analyzed data from a multi-country cohort study, Aetiology of Neonatal Infections in South Asia. From November 2011 to December 2013, this study was conducted in two rural sub-districts in Sylhet Division. Community health workers followed 28,960 pregnant women and their newborns up to two months postpartum and collected data on pregnancy outcomes and newborns' survival status. The NMR was obtained by dividing total number of neonatal deaths with all studied newborns. Logistic regression was employed to calculate adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for factors associated with neonatal mortality. Stata 14.0 was used for data analysis.

resultsThis study analyzed data of 21,227 newborns. The NMR was 43.4 (95% CI: 39.3-48.0) per 1,000 live births (N = 922). Multivariable analysis showed that the odds of neonatal mortality were significantly higher among male newborns (AOR: 1.5, 95% CI: 1.2-1.8), babies born before 34 weeks of gestation (AOR: 5.0, 95% CI: 4.1-6.1), those who were twins or triplets (AOR: 6.2, 95% CI: 3.6-10.9), and first-born child (AOR: 2.9, 95% CI: 1.6-5.3). Additionally, maternal age 30-35 years (AOR: 1.4, 95% CI: 1.-1.8), history of child death (AOR: 1.6, 95% CI: 1.2-2.2), and delivery complications (AOR: 2.1, 95% CI: 1.6-2.6) had positive associations with neonatal deaths.

conclusionPublic health programs in Bangladesh need to adopt a comprehensive strategy to address the individual, maternal, and intrapartum factors associated with neonatal mortality in rural regions. Interventions should aim to prioritize managing pre-term deliveries, first-born child, and delivery complications among pregnant women.

Indexed as

Infant MortalityRural PopulationAdultBangladeshCohort StudiesFemaleHumansInfantInfant, NewbornMaleRisk Factors

Identifiers

PMID30462674
PMCPMC6248927
OpenAlexW2901425762

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.