Evidence map›Paper›PMID 36104095›Full record

ArticleOpen heart2022

Valvular disease burden in the modern era of percutaneous and surgical interventions: the UK Biobank.

Monica Tung, Gregory Nah, Janet Tang, Greg Marcus, Francesca N Delling

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Open heart, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 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

5 authors at 1 institution in 1 country.

Monica TungDepartment of Medicine, University of California San Francisco, San Francisco, California, USA monica.tung@pennmedicine.upenn.edu.ORCID 0000-0002-0508-0359
Gregory NahDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
Janet TangDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
Greg MarcusDepartment of Medicine (Cardiovascular Division), University of California San Francisco, San Francisco, California, USA.
Francesca N DellingDepartment of Medicine (Cardiovascular Division), University of California San Francisco, San Francisco, California, USA.
University of California, San Francisco · US

Funding

Prospective sudden cardiac death risk stratification using CMR and echocardiography machine learning in mitral valve prolapseR01HL153447 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DELLING, FRANCESCA N · 2020 to 2024
$4.7M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHLBI NIH HHS R01 HL153447
6 · The paper itself

Abstract

backgroundThe burden of valvular heart disease (VHD) has increased significantly among ageing populations, yet remains poorly understood in the present-day context of percutaneous and surgical interventions.

objectiveTo define the incidence, clinical correlates and associated mortality of VHD in the UK Biobank cohort.

methodsWe interrogated data collected in the UK Biobank between 1 January 2000 and 30 June 2020. VHD incidence was determined using International Classification of Disease-10 codes for aortic stenosis (AS), aortic regurgitation (AR), mitral stenosis, mitral regurgitation (MR) and mitral valve prolapse. We calculated HRs for incident VHD and all-cause mortality. Clinical correlates of VHD included demographics, coronary artery disease, heart failure and atrial fibrillation. Surgical and percutaneous interventions for mitral and aortic VHD were considered time-dependent variables.

resultsAmong 486 187 participants, the incidence of any VHD was 16 per 10 000 person-years, with highest rates for MR (8.2), AS (7.2) and AR (5.0). Age, heart failure, coronary artery disease and atrial fibrillation were significantly associated with all types of VHD. In our adjusted model, aortic and mitral VHD had an increased risk of all-cause death compared with no VHD (HR 1.62, 95% CI 1.44 to 1.82, p<0.001 and HR 1.25, 95% CI 1.09 to 1.44, p=0.002 for aortic and mitral VHD, respectively).

conclusionVHD continues to constitute a significant public health burden, with MR and AS being the most common. Age and cardiac comorbidities remain strong risk factors for VHD. In the modern era of percutaneous and surgical interventions, mortality associated with VHD remains high.

Indexed as

Aortic Valve StenosisAtrial FibrillationCoronary Artery DiseaseHeart FailureHeart Valve DiseasesMitral Valve InsufficiencyBiological Specimen BanksHumansUnited Kingdomaortic valve insufficiencyaortic valve stenosisepidemiologymitral valve insufficiencytricuspid valve insufficiency

Identifiers

PMID36104095
PMCPMC9476134
OpenAlexW4295681635

What OpenQuestion holds

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LicenceCC BY-NC
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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.