Evidence map›Paper›PMID 39118354›Full record

ArticleBirth defects research2024

Population-based prevalence of congenital defects in a routine sentinel site-based surveillance system in the Western Cape, South Africa.

Emma Kalk, Alexa Heekes, Diane Lavies, Lizel Jacobs, Careni Spencer, Alison Boutall, Ayesha Osman, Chantal Stewart, Mary-Ann Davies, Anika van Niekerk and 3 more

Abstract read
In one paragraph

Article in Birth defects research, 2024. 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
–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. Article
  2. Article
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

13 authors.

Emma KalkCentre for Infectious Disease Epidemiology & Research, School of Public Health, University of Cape Town, Cape Town, South Africa.ORCID 0000-0001-7706-6866
Alexa HeekesCentre for Infectious Disease Epidemiology & Research, School of Public Health, University of Cape Town, Cape Town, South Africa.
Diane LaviesCentre for Infectious Disease Epidemiology & Research, School of Public Health, University of Cape Town, Cape Town, South Africa.
Lizel JacobsCentre for Infectious Disease Epidemiology & Research, School of Public Health, University of Cape Town, Cape Town, South Africa.
Careni SpencerDivision of Human Genetics, Department of Medicine, University of Cape Town & Groote Schuur Hospital, Cape Town, South Africa.
Alison BoutallDepartment of Obstetrics & Gynaecology, University of Cape Town & Groote Schuur Hospital, Cape Town, South Africa.
Ayesha OsmanDepartment of Obstetrics & Gynaecology, University of Cape Town & Groote Schuur Hospital, Cape Town, South Africa.
Chantal StewartDepartment of Obstetrics & Gynaecology, University of Cape Town & Mowbray Maternity Hospital, Cape Town, South Africa.
Mary-Ann DaviesCentre for Infectious Disease Epidemiology & Research, School of Public Health, University of Cape Town, Cape Town, South Africa.
Anika van NiekerkSub-Saharan African Congenital Anomalies Network, University of Cape Town, Cape Town, South Africa.
Karen FieggenSub-Saharan African Congenital Anomalies Network, University of Cape Town, Cape Town, South Africa.
Andrew BoulleCentre for Infectious Disease Epidemiology & Research, School of Public Health, University of Cape Town, Cape Town, South Africa.
Ushma MehtaCentre for Infectious Disease Epidemiology & Research, School of Public Health, University of Cape Town, Cape Town, South Africa.

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
B positive_A population based evaluation of expanded ART access in pregnancyR01HD080465 · NICHD · UNIVERSITY OF CAPE TOWN · PI KALK, EMMA KATE · 2014 to 2019
$4.3M
Gates Foundation INV-004508NIAID NIH HHS U01 AI069924NICHD NIH HHS R01 HD080465US Centers for Disease Control and Prevention GH001934US National Institutes of Health R01HD080465US National Institutes of Health U01AI069924
6 · The paper itself

Abstract

backgroundLack of data on the burden and scope of congenital disorders (CDs) in South Africa undermines resource allocation and limits the ability to detect signals from potentially teratogenic pregnancy exposures.

methodsWe used routine electronic data in the Western Cape Pregnancy Exposure Registry (PER) to determine the overall and individual prevalence of CD identified on neonatal surface examination at birth in the Western Cape, South Africa, 2016-2022. CD was confirmed by record review. The contribution of late (≤24 months) and antenatal diagnoses was assessed. We compared demographic and obstetric characteristics between women with/without pregnancies affected by CD.

resultsWomen with a viable pregnancy (>22 weeks gestation; birth weight ≥ 500 g) (n = 32,494) were included. Of 1106 potential CD identified, 56.1% were confirmed on folder review. When internal and minor CD were excluded the prevalence of major CD identified on surface examination at birth was 7.2/1000 births. When missed/late diagnoses on examination (16.8%) and ultrasound (6.8%) were included, the prevalence was 9.2/1000 births: 8.9/1000 livebirths and 21.5/1000 stillbirths. The PER did not detect 21.5% of major CD visible at birth. Older maternal age and diabetes mellitus were associated with an increased prevalence of CD. Women living with/without HIV (or the timing of antiretroviral therapy, before/after conception), hypertension or obesity did not significantly affect prevalence of CD.

conclusionsA surveillance system based on routine data successfully determined the prevalence of major CD identified on surface examination at birth at rates slightly higher than in equivalent studies. Overall rates, modeled at ~2%, are likely underestimated. Strengthening routine neonatal examination and clinical record-keeping could improve CD ascertainment.

Indexed as

Congenital AbnormalitiesAdultFemaleHumansInfant, NewbornMalePregnancyPrenatal DiagnosisPrevalenceRegistriesSentinel SurveillanceSouth Africaantenatal diagnosiscongenital disordersneonatal surface examinationprevalence studyroutine pregnancy surveillance

Identifiers

PMID39118354
PMCPMC11733423

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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.