Evidence map›Paper›PMID 32611330›Full record

Observational studyBMC pregnancy and childbirth2020

Applying the WHO ICD-PM classification system to stillbirths in a major referral Centre in Northeast Nigeria: a retrospective analysis from 2010-2018.

Eseoghene Dase, Oghenebrume Wariri, Egwu Onuwabuchi, Jacob A K Alhassan, Iliya Jalo, Nazeem Muhajarine, Uduak Okomo, Aliyu U ElNafaty

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 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

8 authors at 4 institutions in 4 countries.

Eseoghene DaseDepartment of Obstetrics and Gynaecology, Federal Teaching Hospital Gombe, Gombe, Nigeria.
Oghenebrume WaririAfrican Population and Health Policy Initiative, Gombe, Gombe State, Nigeria. drwariri@gmail.com.ORCID http://orcid.org/0000-0002-7432-8995
Egwu OnuwabuchiDepartment of Obstetrics and Gynaecology, Federal Teaching Hospital Gombe, Gombe, Nigeria.
Jacob A K AlhassanAfrican Population and Health Policy Initiative, Gombe, Gombe State, Nigeria.
Iliya JaloDepartment of Paediatrics, Federal Teaching Hospital Gombe, Gombe, Nigeria.
Nazeem MuhajarineDepartment of Community Health and Epidemiology, College of Medicine, University of Saskatchewan, Saskatoon, Canada.
Uduak OkomoVaccines and Immunity Theme, Medical Research Council (MRC) Unit The Gambia at The London School of Hygiene and Tropical Medicine, Banjul, The Gambia.
Aliyu U ElNafatyDepartment of Obstetrics and Gynaecology, Federal Teaching Hospital Gombe, Gombe, Nigeria.
Gombe State University · NGUniversity of Saskatchewan · CAMRC Unit the Gambia · GMUniversity of Aberdeen · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLack of a unified and comparable classification system to unravel the underlying causes of stillbirth hampers the development and implementation of targeted interventions to reduce the unacceptably high stillbirth rates (SBR) in sub-Saharan Africa. Our aim was to track the SBR and the predominant maternal and fetal causes of stillbirths using the WHO ICD-PM Classification system.

methodsThis was a retrospective observational study in a major referral centre in northeast Nigeria between 2010 and 2018. Specialist Obstetricians and Gynaecologists assigned causes of stillbirths after an extensive audit of available stillbirths' records. Cause of death was assigned via consensus using the ICD-PM classification system.

resultsThere were 21,462 births between 1 January 2010 and 31 December 2018 in our study setting; of these, 1177 culminated in stillbirths with a total hospital SBR of 55 per 1000 births (95% CI: 52, 58). There were two peaks of stillbirths in 2012 [62 per 1000 births (95% CI: 53, 71)], and 2015 [65 per 1000 births (95% CI, 55, 76)]. Antepartum and intrapartum stillbirths were almost equally prevalent (48% vs 52%). Maternal medical and surgical conditions (M4) were the commonest (69.3%) cause of antepartum stillbirths while complications of placenta, cord and membranes (M3) accounted for the majority (45.8%) of intrapartum stillbirths and the trends were similar between 2010 and 2018. Antepartum and intrapartum fetal causes of stillbirths were mainly due to prematurity which is a disorder of fetal growth (A5 and I6).

conclusionsMost causes of stillbirths in our setting are due to preventable causes and the trends have remained unabated between 2010 and 2018. Progress toward global SBR targets are off-track, requiring more interventions to halt and reduce the high SBR.

Indexed as

Birth WeightCause of DeathFemaleGestational AgeHumansInternational Classification of DiseasesNigeriaPregnancyReferral and ConsultationRetrospective StudiesStillbirthWorld Health OrganizationGombeNigeriaStillbirthsWHO ICD-PM

Identifiers

PMID32611330
PMCPMC7329521
OpenAlexW3040117628

What OpenQuestion holds

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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.