Evidence map›Paper›PMID 36706092›Full record

ArticlePloS one2023

Trend and risk factors of fatal pregnancy termination: A long-term nationwide population-based cross-section survey in Bangladesh.

Shathi Das, Jui Das, Kamanasis Mazumder, Palash Roy, Rehana Begum, Sumon Kumar Das

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Shathi DasSt. Gregory's High School & College, Dhaka, Bangladesh.ORCID 0000-0001-5187-6377
Jui DasMater Research Institute, The University of Queensland, Brisbane, Australia.
Kamanasis MazumderMinistry of Health and Family Welfare, Dhaka, Bangladesh.
Palash RoyKumudini Pharmaceutical Limited, Dhaka, Bangladesh.
Rehana BegumDepartment of Food and Nutrition, College of Home Economics, Dhaka, Bangladesh.
Sumon Kumar DasMenzies School of Health Research, Charles Darwin University, Casuarina, Australia.
Charles Darwin University · AUMinistry of Health and Family Welfare · BDThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPregnant women often experience the fatal outcome of their pregnancy both in developed and impoverished countries. Due to strong health systems and services, factual and historical data are available from developed countries. However, the prevalence trend and risk factors of a fatal termination of pregnancy in developing countries like Bangladesh are still lacking.

objectiveThe objective of the current study was to determine the 20 years trend of prevalence and risk factors of fatal pregnancy termination from 1997 to 2018 in Bangladesh.

methodThis study utilised the publicly available seven consecutive cross-data on Bangladesh Demographic and Health Surveys data since 1997 following identical methods among women of reproductive age. Respondent was asked if they had had a fatal pregnancy termination ever. A Generalised Linear model with a log-Poisson link was used to estimate the relative risk of different predictors for four survey time points (1998, 2004, 2011, 2018).

resultsThe proportions of fatal pregnancy termination in urban and rural areas were 24% vs. 19% and 24% vs. 22% in 1997 and 2018, respectively. In multivariable analysis, maternal age 30 years and above and obesity were strongly associated in all survey time points. The richest wealth index had a weak association in 1997 but was strongly associated in 2011 and 2018. A significant modest association with secondary complete education level was only observed in 2018.

conclusionThe overall proportions of fatal pregnancy termination in Bangladesh remain nearly static; however, its risk factors differed across different survey time points.

Indexed as

Abortion, InducedObesityAdultBangladeshFemaleHumansPregnancyRisk FactorsSocioeconomic Factors

Identifiers

PMID36706092
PMCPMC9882646
OpenAlexW4318263500

What OpenQuestion holds

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LicenceCC BY
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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.