ArticleMolecular syndromology2026
Genetic Analysis Strategy for Diagnosing Congenital Heart Disease.
Article in Molecular syndromology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Congenital heart defects (CHD) affect approximately 10-12 per 1,000 newborns globally, and they can be divided into simple cardiac defects or severe and complex ones. Its etiology derives from environmental and genetic causes, with 20-30% of cases being genetic conditions ranging from alterations such as aneuploidies, monogenic defects, and copy number variations (CNVs). Even with the severity of this condition, many patients remain with an uncertain diagnosis. This study aimed to evaluate patients with CHD who are still undiagnosed but have already undergone genetic testing and evaluation and provide a guideline that can be followed in third-world countries to make CHD diagnostics faster and easier. Method: DNA was extracted from all patients included; first the samples were analyzed with the P311 multiplex ligation-dependent probe amplification (MLPA) kit specific to CHD, and the patients that remain undiagnostic were analyzed with the P245 MLPA kit for microdeletions. Results: CNVs were identified in 36% of the patients, representing a high detection rate. Conclusion: The patient selection and prior clinical evaluation may explain our high detection rate, as much as the karyotype and fluorescent in situ hybridization normal results used for screening, combined with using two MLPA kits for detection.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.