Evidence map›Paper›PMID 39507141›Full record

ReviewCureus2024

Impact of Genetic Testing on the Diagnosis, Management, and Prognosis of Hypertrophic Cardiomyopathy: A Systematic Review.

Billy McBenedict, Wilhelmina N Hauwanga, Emmanuel S Amadi, Aaron A Abraham, Rithika Sivakumar, Madeleine O Okere, Melvin Chun Yang Yau, Nematalla Balla, Thasneem Rahumathulla, Berley Alphonse and 1 more

Abstract readReview
In one paragraph

Review in Cureus, 2024. 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. Review
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

11 authors.

Billy McBenedictNeurosurgery, Fluminense Federal University, Niterói, BRA.
Wilhelmina N HauwangaFamily Medicine, Faculty of Medicine, Federal University of the State of Rio de Janeiro, Rio de Janeiro, BRA.
Emmanuel S AmadiInternal Medicine, Hallel Hospital Port Harcourt, Port Harcourt, NGA.
Aaron A AbrahamInternal Medicine, Christian Medical College Ludhiana, Ludhiana, IND.
Rithika SivakumarCollege of Medicine, Government Medical College, Omandurar Government Estate, Chennai, IND.
Madeleine O OkereInternal Medicine, University of Port Harcourt Teaching Hospital, Port Harcourt, NGA.
Melvin Chun Yang YauCollege of Medicine, Monash University Malaysia, Subang Jaya, MYS.
Nematalla BallaInternal Medicine, National Ribat University, Doha, QAT.
Thasneem RahumathullaMedicine and Surgery, Tbilisi State Medical University, Tbilisi, GEO.
Berley AlphonseInternal Medicine, University Notre Dame of Haiti, Port-au-Prince, HTI.
Bruno Lima PessôaNeurosurgery, Fluminense Federal University, Niterói, BRA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertrophic cardiomyopathy (HCM) is a hereditary cardiovascular condition marked by heart muscle thickening, fibrosis, and myocardial disorders. It is often inherited in an autosomal dominant pattern. Symptoms include dyspnea, fatigue, palpitations, dizziness, syncope, and an increased risk of sudden cardiac death (SCD). Genetic studies have identified many asymptomatic carriers, indicating a higher prevalence of HCM. Advances in genetic testing (GT) and novel therapies, such as cardiac myosin inhibitors, have significantly impacted the diagnosis and management of HCM. This integrative review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and aimed to synthesize information regarding the impact of GT on the diagnosis and management of HCM patients. An electronic search was conducted on May 17, 2024, across PubMed, Embase, Scopus, Web of Science, and Cochrane databases, covering January 2020 to May 2024. Inclusion criteria were studies involving adult HCM patients who underwent GT and follow-up. Exclusion criteria included non-human studies, pediatric cases, non-HCM-related GT, non-peer-reviewed articles, systematic reviews, conference abstracts, and editorials. From 1,155 articles identified, 42 met the inclusion criteria after applying filters and removing duplicates. GT identified pathogenic variants in a significant proportion of HCM patients, enhancing diagnostic accuracy and management. Key mutations were found in myosin binding protein C3 and myosin heavy chain 7 genes. GT facilitated personalized management strategies, including risk stratification for SCD and family screening. Patients with identified mutations often required closer monitoring and tailored treatments. GT has revolutionized the diagnosis and management of HCM. The integration of genetic data has improved risk stratification, facilitated early intervention, and enhanced patient outcomes. Despite these advances, challenges remain in identifying genetic variants in some patients, emphasizing the need for continuous improvement in genetic panels and diagnostic methods. This review highlights the significant role of GT in optimizing HCM care through precise risk assessment and tailored treatment strategies.

Indexed as

autosomal dominantdiagnosis and managementgenesgenetic testing geneshypertrophic cardiomyopathy (hcm)

Identifiers

PMID39507141
PMCPMC11539408

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.