Evidence map›Paper›PMID 33370361›Full record

Trial reportPloS one2020

High-risk pregnancies and their association with severe maternal morbidity in Nepal: A prospective cohort study.

Sushma Rajbanshi, Mohd Noor Norhayati, Nik Hussain Nik Hazlina

Abstract readClinical Trial
In one paragraph

Trial report in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

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  8. The dyadic associations among self-efficacy, dyadic coping, and health-related quality of life between high-risk pregnant women and spouses: a cross-sectional study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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  18. A Retrospective Assessment of Thrombophilia in Pregnant Women with First and Second Trimester Pregnancy Loss.International journal of environmental research and public health · 2022
    Observational
  19. Increment of Maternal Mortality Among Admissions for Childbirth in Low-risk Pregnant Women in Brazil: Effect of COVID-19 Pandemic?Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2022
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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

3 authors.

Sushma RajbanshiWomen's Health Development Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.
Mohd Noor NorhayatiDepartment of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.ORCID 0000-0002-6372-1476
Nik Hussain Nik HazlinaWomen's Health Development Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe early identification of pregnant women at risk of developing complications at birth is fundamental to antenatal care and an important strategy in preventing maternal death. This study aimed to determine the prevalence of high-risk pregnancies and explore the association between risk stratification and severe maternal morbidity.

methodsThis hospital-based prospective cohort study included 346 pregnant women between 28-32 gestational weeks who were followed up after childbirth at Koshi Hospital in Nepal. The Malaysian antenatal risk stratification approach, which applies four color codes, was used: red and yellow denote high-risk women, while green and white indicate low-risk women based on maternal past and present medical and obstetric risk factors. The World Health Organization criteria were used to identify women with severe maternal morbidity. Multivariate confirmatory logistic regression analysis was performed to adjust for possible confounders (age and mode of birth) and explore the association between risk stratification and severe maternal morbidity.

resultsThe prevalence of high-risk pregnancies was 14.4%. Based on the color-coded risk stratification, 7.5% of the women were categorized red, 6.9% yellow, 72.0% green, and 13.6% white. The women with high-risk pregnancies were 4.2 times more likely to develop severe maternal morbidity conditions during childbirth.

conclusionsAlthough smaller in percentage, the chances of severe maternal morbidity among high-risk pregnancies were higher than those of low-risk pregnancies. This risk scoring approach shows the potential to predict severe maternal morbidity if routine screening is implemented at antenatal care services. Notwithstanding, unpredictable severe maternal morbidity events also occur among low-risk pregnant women, thus all pregnant women require vigilance and quality obstetrics care but high-risk pregnant women require specialized care and referral.

Indexed as

Delivery, ObstetricMaternal MortalityPregnancy, High-RiskAdultFemaleFollow-Up StudiesHumansNepalPregnancyProspective StudiesRisk Assessment

Identifiers

PMID33370361
PMCPMC7769286

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Registered trials

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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.