Evidence map›Paper›PMID 37469195›Full record

ArticleBJOG : an international journal of obstetrics and gynaecology2024

Pregnancy-related mortality up to 1 year postpartum in sub-Saharan Africa: an analysis of verbal autopsy data from six countries.

Ursula Gazeley, Georges Reniers, Julio E Romero-Prieto, Clara Calvert, Momodou Jasseh, Kobus Herbst, Sammy Khagayi, David Obor, Daniel Kwaro, Albert Dube and 9 more

Abstract read
In one paragraph

Article in BJOG : an international journal of obstetrics and gynaecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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.

Ursula GazeleyDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0003-3309-7411
Georges ReniersDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0001-6582-1692
Julio E Romero-PrietoDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-8131-7821
Clara CalvertDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0003-3272-1040
Momodou JassehMedical Research Council Unit The Gambia at LSHTM, Serekunda, The Gambia.ORCID https://orcid.org/0000-0002-1026-1082
Kobus HerbstAfrica Health Research Institute, Durban, South Africa.ORCID https://orcid.org/0000-0002-5436-9386
Sammy KhagayiKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.ORCID https://orcid.org/0000-0002-2470-1851
David OborKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.ORCID https://orcid.org/0000-0002-2852-6368
Daniel KwaroKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.ORCID https://orcid.org/0000-0002-0929-8072
Albert DubeMalawi Epidemiology and Intervention Research Institute, Karonga, Malawi.ORCID https://orcid.org/0000-0002-6392-0475
Merga DheresaSchool of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.ORCID https://orcid.org/0000-0003-3404-2682
Chodziwadziwa W KabudulaMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-5867-0336
Kathleen KahnMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0003-3339-3931
Mark UrassaThe Tazama Project, National Institute for Medical Research, Mwanza, Tanzania.ORCID https://orcid.org/0000-0003-0257-6938
Amek NyaguaraKEMRI-Wellcome Trust, Kilifi, Kenya.ORCID https://orcid.org/0000-0002-7865-8756
Marleen TemmermanCentre of Excellence in Women and Children's Health, Aga Khan University, Nairobi, Kenya.ORCID https://orcid.org/0000-0003-2069-8752
Laura A MageeDepartment of Women and Children's Health, School of Life Course and Population Sciences, Faculty of Life Science and Medicine, King's College London, London, UK.ORCID https://orcid.org/0000-0002-1355-610X
Peter von DadelszenDepartment of Women and Children's Health, School of Life Course and Population Sciences, Faculty of Life Science and Medicine, King's College London, London, UK.ORCID https://orcid.org/0000-0003-4136-3070
Veronique FilippiDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0003-1331-3391

Funding

UKRI Economic and Social Research Council ES/P000592/1
6 · The paper itself

Abstract

objectiveTo compare the causes of death for women who died during pregnancy and within the first 42 days postpartum with those of women who died between >42 days and within 1 year postpartum.

designOpen population cohort (Health and Demographic Surveillance Systems).

settingTen Health and Demographic Surveillance Systems (HDSS) in The Gambia, Kenya, Malawi, Tanzania, Ethiopia and South Africa. POPULATION: 2114 deaths which occurred within 1 year of the end of pregnancy where a verbal autopsy interview was conducted from 2000 to 2019.

methodsInterVA5 and InSilicoVA verbal autopsy algorithms were used to attribute the most likely underlying cause of death, which were grouped according to adapted International Classification of Diseases-Maternal Mortality categories. Multinomial regression was used to compare differences in causes of deaths within 42 days versus 43-365 days postpartum adjusting for HDSS and time period (2000-2009 and 2010-2019).

main outcome measuresCause of death and the verbal autopsy Circumstances of Mortality Categories (COMCATs).

resultsOf 2114 deaths, 1212 deaths occurred within 42 days postpartum and 902 between 43 and 365 days postpartum. Compared with deaths within 42 days, deaths from HIV and TB, other infectious diseases, and non-communicable diseases constituted a significantly larger proportion of late pregnancy-related deaths beyond 42 days postpartum, and health system failures were important in the circumstances of those deaths. The contribution of HIV and TB to deaths beyond 42 days postpartum was greatest in Southern Africa. The causes of pregnancy-related mortality within and beyond 42 days postpartum did not change significantly between 2000-2009 and 2010-2019.

conclusionsCause of death data from the extended postpartum period are critical to inform prevention. The dominance of HIV and TB, other infectious and non-communicable diseases to (late) pregnancy-related mortality highlights the need for better integration of non-obstetric care with ante-, intra- and postpartum care in high-burden settings.

Indexed as

HIV InfectionsNoncommunicable DiseasesAutopsyCause of DeathFemaleHumansMalawiPostpartum PeriodPregnancycauses of deathmaternal healthpregnancy-related mortalityverbal autopsy

Identifiers

PMID37469195
PMCPMC10952650

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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.