Evidence map›Paper›PMID 36973393›Full record

ArticleEuropean journal of human genetics : EJHG2023

Predicting personal cardiovascular disease risk based on family health history: Development of expert-based family criteria for the general population.

Tetske Dijkstra, Lieke M van den Heuvel, J Peter van Tintelen, Christian van der Werf, Irene M van Langen, Imke Christiaans

Open access · greenAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2023. 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
0.4field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 1 country.

Tetske DijkstraDepartment of Clinical Genetics, University Medical Center Groningen / University of Groningen, Groningen, the Netherlands.
Lieke M van den HeuvelDepartment of Clinical Genetics, University Medical Center Groningen / University of Groningen, Groningen, the Netherlands.
J Peter van TintelenDepartment of Biomedical Genetics, University Medical Center Utrecht / University Utrecht, Utrecht, the Netherlands.ORCID 0000-0003-3854-6749
Christian van der WerfHeart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.
Irene M van LangenDepartment of Clinical Genetics, University Medical Center Groningen / University of Groningen, Groningen, the Netherlands.ORCID 0000-0002-0960-7154
Imke ChristiaansDepartment of Clinical Genetics, University Medical Center Groningen / University of Groningen, Groningen, the Netherlands. i.christiaans@umcg.nl.ORCID 0000-0001-5799-2344
University Medical Center Groningen · NLAmsterdam University Medical Centers · NLUtrecht University · NL

Funding

Hartstichting (Dutch Heart Foundation) 2019T111
6 · The paper itself

Abstract

In inherited and familial cardiovascular diseases (CVDs), relatives without current symptoms can still be at risk for early and preventable cardiovascular events. One way to help people evaluate their potential risk of CVD is through a risk-assessment tool based on family health history. However, family criteria including inherited CVD risk to be used by laypersons are non-existent. In this project, we employed a qualitative study design to develop expert-based family criteria for use in individual risk assessment. In the first phase of the project, we identified potential family criteria through an online focus group with physicians with expertise in monogenic and/or multifactorial CVDs. The family criteria from phase one were then used as input for a three-round Delphi procedure carried out in a larger group of expert physicians to reach consensus on appropriate criteria. This led to consensus on five family criteria that focus on cardiovascular events at young age (i.e., sudden death, any CVD, implantable cardioverter-defibrillator, aortic aneurysm) and/or an inherited CVD in one or more close relatives. We then applied these family criteria to a high-risk cohort from a clinical genetics department and demonstrated that they have substantial diagnostic accuracy. After further evaluation in a general population cohort, we decided to only use the family criteria for first-degree relatives. We plan to incorporate these family criteria into a digital tool for easy risk assessment by the public and, based on expert advice, will develop supporting information for general practitioners to act upon potential risks identified by the tool. Results from an expert focus group, a Delphi method in a larger group of experts, and evaluation in two cohorts were used to develop family criteria for assessing cardiovascular disease risk based on family health history for a digital risk-prediction tool for use by the general population. CVD Cardiovascular disease, ICD Implantable cardioverter defibrillator, TAA Thoracic aortic aneurysm, AAA Abdominal aortic aneurysm.

Indexed as

Aortic Aneurysm, ThoracicCardiovascular DiseasesFamily HealthHumansRisk Assessment

Identifiers

PMID36973393
PMCPMC10689818
OpenAlexW4361011272

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.