Evidence map›Paper›PMID 32309580›Full record

ReviewDiscoveries (Craiova, Romania)2016

The mechanisms, diagnosis and management of mitral regurgitation in mitral valve prolapse and hypertrophic cardiomyopathy.

Mihaela Octavia Popa, Ana Maria Irimia, Mihai Nicolae Papagheorghe, Elena Miruna Vasile, Simona Andreea Tircol, Raluca Andreea Negulescu, Catalina Toader, Robert Adam, Lucian Dorobantu, Cristina Caldararu and 2 more

Open access · hybridAbstract readReview
In one paragraph

Review in Discoveries (Craiova, Romania), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 90% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 2 institutions in 1 country.

Mihaela Octavia PopaCarol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Ana Maria IrimiaCarol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Mihai Nicolae PapagheorgheCarol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Elena Miruna VasileCarol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Simona Andreea TircolCarol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Raluca Andreea NegulescuCarol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Catalina ToaderCarol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Robert AdamCarol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Lucian DorobantuDepartment of Cardiovascular Surgery, Monza Hospital, Bucharest, Romania.
Cristina CaldararuDepartment of Cardiology, Monza Hospital, Bucharest, Romania.
Maria AlexandrescuDepartment of Radiology and Imaging Sciences, Monza Hospital, Bucharest, Romania.
Sebastian OnciulDepartment of Cardiology, Floreasca Clinical Emergency Hospital, Bucharest, Romania.
Carol Davila University of Medicine and Pharmacy · ROClinical Emergency Hospital Bucharest · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Valvular disease is a frequent cardiac pathology leading to heart failure and, ultimately, death. Mitral regurgitation, defined as the inability of the two mitral leaflets to coapt, is a common valvular disease and a self sustained pathology. A better understanding of the mitral valve histological layers provides a better understanding of the leaflet and chordae changes in mitral valve prolapse. Mitral valve prolapse may occur in myxomatous degenerative abnormalities, connective tissue disorders or in sporadic isolated cases. It is the most common mitral abnormality of non-ischemic cause leading to severe surgery-requiring mitral regurgitation. In addition to standard echocardiographic investigations, newly implemented three-dimensional techniques are being used and they permit a better visualisation, from the so-called 'surgical view', and an improved evaluation of the mitral valve. Hypertrophic cardiomyopathy is the most frequent inherited myocardial disease caused by mutations in various genes encoding proteins of the cardiac sarcomere, leading to a marked left ventricular hypertrophy unexplained by other comorbidities. The pathological echocardiographic hallmarks of hypertrophic cardiomyopathy are left ventricular hypertrophy, left ventricular outflow tract obstruction and systolic anterior motion of the mitral valve. The systolic anterior motion of the mitral valve contributes to the development of mitral regurgitation and further narrows the left ventricular outflow tract, leading to more severe symptomatology. Cardiac magnetic resonance imaging accurately measures the left ventricular mass, the degree of diastolic function and it may also be used to distinguish phenotypic variants. The clinical outcome of patients with these pathologies is mostly determined by the selected option of treatment. The purpose of surgical correction regarding mitral valve involvement is to restore valvular competence. Surgery has proven to be the only useful treatment in preventing heart failure, improving symptomatology and reducing mortality. Our approach wishes to enhance the understanding of the mitral valve's involvement in hypertrophic cardiomyopathy and mitral valve prolapse from genetic, haemodynamic and clinical perspectives, as well as to present novelties in the grand field of treatment.

Indexed as

echographic evaluationhypertrophic cardiomyopathyleaflet elongationleft ventricular outflow obstructionMitral valve prolapsemitral valve repairseptal myectomy and mitral valve repairsystolic anterior motion

Identifiers

PMID32309580
PMCPMC7159827
OpenAlexW2474156585

What OpenQuestion holds

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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.