Evidence map›Paper›PMID 41821481›Full record

ArticleJournal of global health2026

Stillbirths by maternal-obstetric characteristics and Robson classification system: a cross-sectional study from eight district hospitals in Bangladesh.

Lubna Hossain, Trisha Mallick, Abu Sayeed, Md Lutful Kader, Md Akib Al-Zubayer, Farhia Azrin, Hassan Rushekh Mahmood, Muna Shalima Jahan, Farhana Dewan, Md Mahmudul Hassan Khan Shovon and 9 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

19 authors.

Lubna HossainMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Trisha MallickMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Abu SayeedMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Md Lutful KaderMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Md Akib Al-ZubayerKhulna University, Khulna, Bangladesh.
Farhia AzrinMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Hassan Rushekh MahmoodFaculty of Health Sciences, McMaster University, Canada.
Muna Shalima JahanDhaka Medical College and Hospital, Dhaka, Bangladesh.
Farhana DewanObstetrical and Gynaecological Society of Bangladesh, Dhaka, Bangladesh.
Md Mahmudul Hassan Khan ShovonMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Nondo SahaMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Fariya RahmanMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Md Refat Uz Zaman SajibDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
Mohammad Delwer Hossain HawladerDepartment of Public Health, North South University, Dhaka, Bangladesh.
Dipak MitraDepartment of Public Health, North South University, Dhaka, Bangladesh.
Md Moazzem Hossain SarkerMaternal, Newborn, Child & Adolescent Health, Directorate General of Health Services, Ministry of Health & Family Welfare of Bangladesh.
Shams El ArifeenMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Ahmed Ehsanur RahmanMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Anisuddin AhmedMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding maternal-obstetric determinants is key to stillbirth prevention. The Robson classification system enables monitoring and identification of high-risk groups. This study examined the prevalence and distribution of antepartum and intrapartum stillbirths by maternal-obstetric characteristics and Robson groups in district hospitals of Bangladesh. Methods: We conducted a cross-sectional analysis using prospectively collected data from Phases 4 and 5 (August 2022-June 2023) of a multi-phase implementation research study on the Robson classification system in eight district hospitals. All deliveries at ≥ 28 weeks of gestation were included, classified as live births, antepartum stillbirths (death before onset of labour), and intrapartum stillbirths (death after onset of labour). Descriptive analyses estimated stillbirth prevalence by timing, maternal and obstetric factors, and Robson groups. Associations were assessed using χ Results: Out of 15 529 deliveries, 3.9% were stillbirths (56.6% intrapartum and 43.4% antepartum). Stillbirth prevalence varied across facilities (0.9-6.6%). A higher stillbirth burden was significantly associated (P < 0.05) with advanced maternal age (>34 years), preterm birth, lack of antenatal care, non-use of the partograph, and low birthweight. Breech presentation, induced labour, and vaginal delivery had the highest stillbirth percentage. Timing of stillbirth differed significantly by foetal presentation, onset of labour, and mode of delivery (P < 0.05). Stillbirth prevalence varied across Robson groups (0-17.5%). Intrapartum stillbirths predominated in Groups 1, 3, 6 and 8, while Group 10 was largely antepartum-dominated. Conclusions: Stillbirth remains a substantial burden in district-level hospitals in Bangladesh, with most deaths occurring during the intrapartum period and marked variation across facilities and Robson groups. The findings highlight preventable gaps in antenatal screening, labour monitoring, and timely emergency obstetric care. Application of the Robson classification system enables precise identification of high-risk obstetric groups for targeted quality-improvement interventions to reduce preventable stillbirths and accelerate progress toward national and global stillbirth reduction targets.

Indexed as

Hospitals, DistrictStillbirthAdultBangladeshCross-Sectional StudiesFemaleHumansPregnancyPrevalenceRisk FactorsYoung Adult

Identifiers

PMID41821481
PMCPMC12983048

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LicenceCC BY
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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.