Evidence map›Paper›PMID 33433738›Full record

ReviewCurrent cardiology reports2021

Hypertrophic Cardiomyopathy: Genetic Testing and Risk Stratification.

Fergus Stafford, Kate Thomson, Alexandra Butters, Jodie Ingles

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Recent Findings Related to Cardiomyopathy and Genetics.International journal of molecular sciences · 2021
    Review
  9. Observational
  10. 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

4 authors at 2 institutions in 2 countries.

Fergus StaffordCardio Genomics Program at Centenary Institute, The University of Sydney, Locked Bag 6, Newtown, NSW, 2042, Australia.
Kate ThomsonOxford Medical Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Alexandra ButtersCardio Genomics Program at Centenary Institute, The University of Sydney, Locked Bag 6, Newtown, NSW, 2042, Australia.
Jodie InglesCardio Genomics Program at Centenary Institute, The University of Sydney, Locked Bag 6, Newtown, NSW, 2042, Australia. j.ingles@centenary.org.au.ORCID 0000-0002-4846-7676
The University of Sydney · AUJohn Radcliffe Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewOur knowledge of the genetic basis and molecular pathogenesis of hypertrophic cardiomyopathy (HCM) continues to evolve. We describe the genetic basis of HCM, recent advances in genetic testing and the role of genetics in guiding risk stratification and management, both now and in the future. RECENT

findingsWhile initially thought to be an exclusively Mendelian disease, we now know there are important HCM sub-groups. A proportion will have sarcomere variants as the cause of their disease, while others will have genetic variants in genes that can give rise to conditions that can mimic HCM. The role of genetics is primarily for cascade genetic testing, though there is emerging evidence of a role for prognosis and patient management. Genetic testing is a useful addition to management. Genotype may play a greater role in risk stratification, management, treatment and prognosis in future, offering improved outcomes for patients and their families with HCM.

Indexed as

Cardiomyopathy, HypertrophicGenetic TestingGenotypeHumansMutationRisk AssessmentSarcomeresGeneticsHypertrophic cardiomyopathyManagementRisk stratification

Identifiers

PMID33433738
OpenAlexW3120861142

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.