Evidence map›Paper›PMID 41583047›Full record

ArticleJournal of medicine in the tropics

Congenital heart disease in neonates with external congenital anomalies in Jos, Nigeria.

O O Ige, C S Yilgwan, A S Sagay, P Kanki, F Bode-Thomas

Abstract read
In one paragraph

Article in Journal of medicine in the tropics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

O O IgeDepartment of Paediatrics, University of Jos/Jos University Teaching Hospital, Jos, Nigeria.
C S YilgwanDepartment of Paediatrics, University of Jos/Jos University Teaching Hospital, Jos, Nigeria.
A S SagayDepartment of Obstetrics and Gynaecology, University of Jos/Jos University Teaching Hospital, Jos, Nigeria.
P KankiHarvard TH Chan School of Public Health, Boston, USA.
F Bode-ThomasDepartment of Paediatrics, University of Jos/Jos University Teaching Hospital, Jos, Nigeria.

Funding

Support of Training and Mentoring in Nigeria for Academics (STAMINA)D43TW010130 · FIC · UNIVERSITY OF JOS · PI SAGAY, ATIENE SOLOMON · 2015 to 2019
$3.2M
FIC NIH HHS D43 TW010130
6 · The paper itself

Abstract

Background: Congenital heart disease (CHD) has been found to be more common in neonates with other congenital anomalies and may worsen prognosis. Early diagnosis and treatment of internal congenital anomalies including CHD will improve outcome and decrease neonatal mortality. This study determined the prevalence of CHD among neonates seen with external congenital anomalies in Jos, Nigeria. Materials and Methods: We performed complete physical examinations on 2,340 neonates delivered in two tertiary hospitals in Jos, Nigeria. We identified neonates with external congenital anomalies and determined the prevalence of congenital heart defects in them using echocardiography. Data were analysed using STATA 14.0. Results: External congenital anomalies were present in 49 of the 2,340 neonates recruited - prevalence of 20.9 per 1,000, with a male to female ratio of 1.1:1. Fourteen (28.6%) neonates were syndromic. CHD was present in 15 of 49 (30.6%) neonates studied- prevalence 30.6 per 100. The mean age of the parents with neonates who had external congenital anomalies and CHD was significantly higher than those without CHD. Conclusion: CHD frequently co-exists with external congenital anomalies especially in syndromic neonates. Hospital-based surveillance systems are needed to capture accurately both internal and external congenital anomalies to improve outcome in these group of neonates.

Indexed as

Congenital heart defectsexternal congenital anomaliesneonatesNigeria

Identifiers

PMID41583047
PMCPMC12830049

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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.