Evidence map›Paper›PMID 38596643›Full record

ArticleInternational journal of general medicine2024

Prevalence and Patterns of Congenital Heart Defects and Other Major Non-Syndromic Congenital Anomalies Among Down Syndrome Patients: A Retrospective Study.

Biniam Endale Geleta, Girma Seyoum

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In one paragraph

Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.4field-weighted citation impact, top 7% 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

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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

4 citing papers in PubMed, 4 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

2 authors at 1 institution in 1 country.

Biniam Endale GeletaDepartment of Anatomy, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0003-4212-520X
Girma SeyoumDepartment of Anatomy, Addis Ababa University, Addis Ababa, Ethiopia.
Addis Ababa University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Children with DS are at higher risk of developing congenital anomalies, particularly cardiac anomalies. Methods: Medical records of 502 DS patients were reviewed. The logistic regression analyses were performed to determine independent predictors. Results: Of the total 502 study subjects, 53.4% were males. Only 1.4% of the DS case diagnosis were confirmed by karyotyping. All cases were diagnosed postnatally. The median age at DS diagnosis was 5 months. About 13% were born preterm; 50.2% of the subjects maternal age at conception were thirty-five years and above. Over three-quarters (75.1%) had at least one structural congenital anomaly. Multiple anomalies were diagnosed in 12.8% of the subjects. At least one cardiac congenital anomaly was diagnosed in 67.3% of the study subjects, and 32.8% of them were diagnosed with multiple cardiac anomalies. Patent ductus arteriosus (28.5%), Ventricular septal defect (23.2%), and AVSD (21.9%) were the three common lesions. At least one genitourinary system anomaly was identified in 32 (6.4%) of them. Roughly, 8% of study participants exhibited congenital anomaly of the head, eye, nose, and throat. Anorectal malformation was found as the most common gastrointestinal anomaly. Maternal age at conception was found as independent predictor for presence of structural congenital anomaly (AOR 2.59; 95% CI 1.58-4.23, p-value < 0.01). Advanced maternal age is also found increasing the risk of developing congenital heart defect (AOR 2.37; 95% CI 1.52-3.7, p-value < 0.01). Conclusion: High prevalence of congenital anomalies has been noted in the current study compared to previous studies. Predictive factors increasing risk of congenital anomalies in DS patients have been identified. The current findings may help in developing strategies and more targeted preventive and therapeutic interventions.

Indexed as

cardiac anomalychromosome 21congenital anomalyDown syndromematernal age

Identifiers

PMID38596643
PMCPMC11001559
OpenAlexW4393948096

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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.