Evidence map›Paper›PMID 38241263›Full record

ArticlePloS one2024

Preterm birth and neonatal mortality in selected slums in and around Dhaka City of Bangladesh: A cohort study.

Abdur Razzaque, Anisur Rahman, Razib Chowdhury, A H M Golam Mustafa, Shakera Naima, Farzana Begum, Sohana Shafique, Bidhan Krishna Sarker, Mohammad Zahirul Islam, Minjoon Kim and 5 more

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Abdur RazzaqueInternational Centre for Diarrheal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.ORCID 0000-0002-9439-9627
Anisur RahmanInternational Centre for Diarrheal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Razib ChowdhuryInternational Centre for Diarrheal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
A H M Golam MustafaInternational Centre for Diarrheal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Shakera NaimaInternational Centre for Diarrheal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Farzana BegumInternational Centre for Diarrheal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Sohana ShafiqueInternational Centre for Diarrheal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Bidhan Krishna SarkerInternational Centre for Diarrheal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Mohammad Zahirul IslamEmbassy of Sweden, Dhaka, Bangladesh.
Minjoon KimMaternal Newborn Health, UNICEF New York, New York, New York, United States of America.
Margub Aref JahangirUNICEF Bangladesh, Dhaka, Bangladesh.
Ziaul MatinHealth Section, UNICEF India, New Delhi, India.
Jannatul FerdousUNICEF Bangladesh, Dhaka, Bangladesh.
Maya VandenentUNICEF Bangladesh, Dhaka, Bangladesh.
Daniel D ReidpathInternational Centre for Diarrheal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough under-five mortality has declined appreciably in Bangladesh over the last few decades, neonatal mortality still remains high. The objective of the study is to assess the level and determinants of preterm birth and the contribution of preterm birth to neonatal mortality.

methodsData for this study came from selected slums in and around Dhaka city, where; since 2015, icddr,b has been maintaining the Health and Demographic Surveillance System (HDSS). The HDSS data were collected by female Field Workers by visiting each household every three months; however, during the visit, data on the Last Menstrual Period (LMP) were also collected by asking each eligible woman to ascertain the date of conception. Gestational age was estimated in complete weeks by subtracting LMP from the date of the pregnancy outcome. In this study, 6,989 livebirths were recorded by HDSS during 2016-2018, and these births were followed for neonatal survival; both bivariate and multivariate analyses were performed.

resultsOut of total births, 21.7% were born preterm (before 37 weeks of gestation), and sub-categories were: 2.19% for very preterm (28 to 31 weeks), 3.81% for moderate preterm (32 to 33 weeks), and 15.71% for late preterm (34 to 36 weeks). The study revealed that preterm babies contributed to 39.6% of neonatal deaths; however, the probability of death was very high on the 1st day of birth (0.124 for very preterm, 0.048 for moderate preterm, 0.024 for late preterm, and 0.013 for term birth), and continued until the 3rd day. In the regression analysis, compared to the term neonates, the odds of neonatal mortality were 8.66 (CI: 5.63, 13.32, p<0.01), 4.13 (CI: 2.69, 6.34, p<0.01) and 1.48 (CI: 1.05, 2.08, p<0.05) respectively for very, moderate, and late preterm birth categories. The population attributable fraction for neonatal mortality was 23%, and sub-categories were 14% for very preterm, 10% for moderate preterm, and 6% for late preterm.

conclusionsAlthough urban slums are in proximity to many health facilities, a substantial proportion of preterm births contribute to neonatal deaths. So, pregnant women should be targeted, to ensure timely care during pregnancy, delivery, and post-partum periods to improve the survival of new-borns in general and preterm birth in particular.

Indexed as

Perinatal DeathPremature BirthBangladeshCohort StudiesFemaleGestational AgeHumansInfantInfant MortalityInfant, NewbornInfant, PrematurePoverty AreasPregnancy

Identifiers

PMID38241263
PMCPMC10798464

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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.