Evidence map›Paper›PMID 30371227›Full record

SynthesisJournal of the American Heart Association2018

Systematic Review of Studies That Have Evaluated Screening Tests in Relatives of Patients Affected by Nonsyndromic Thoracic Aortic Disease.

Giovanni Mariscalco, Radoslaw Debiec, John A Elefteriades, Nilesh J Samani, Gavin J Murphy

Registry-linked trialOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Heart Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03861741 (A Study to Evaluate the Feasibility of Screening Relatives of Patients Affected by Non-Syndromic Thoracic Aortic Diseases), which is not on this map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
4.4field-weighted citation impact, top 5% 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.

NCT03861741 naunknown statusnot on this mapstarted 2019, after this paper: background citation

A Study to Evaluate the Feasibility of Screening Relatives of Patients Affected by Non-Syndromic Thoracic Aortic Diseases: The ReST Study

TypeinterventionalSponsorUniversity of LeicesterRan2019 to 2022Enrolled70ConditionsScreening, Aortic Aneurysm and Dissection, Genetic DiseaseArmsWES, MRI, TTE, Questionnaire
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 4 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Guideline
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  4. Pooled it
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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 2 institutions in 2 countries.

Giovanni Mariscalco1 Department of Cardiovascular Sciences University of Leicester and National Institute for Health Research Leicester Cardiovascular Biomedical Research Centre Leicester United Kingdom.
Radoslaw Debiec1 Department of Cardiovascular Sciences University of Leicester and National Institute for Health Research Leicester Cardiovascular Biomedical Research Centre Leicester United Kingdom.
John A Elefteriades2 Aortic Institute at Yale-New Haven Yale University of Medicine New Haven CT.
Nilesh J Samani1 Department of Cardiovascular Sciences University of Leicester and National Institute for Health Research Leicester Cardiovascular Biomedical Research Centre Leicester United Kingdom.
Gavin J Murphy1 Department of Cardiovascular Sciences University of Leicester and National Institute for Health Research Leicester Cardiovascular Biomedical Research Centre Leicester United Kingdom.
NIHR Leicester Cardiovascular Biomedical Research Unit · GBYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
British Heart Foundation CH/12/1/29419
6 · The paper itself

Abstract

Background Nonsyndromic thoracic aortic diseases ( NS - TADs ) are often silent entities until they present as life-threatening emergencies. Despite familial inheritance being common, screening is not the current standard of care in NS - TAD s. We sought to determine the incidence of aortic diseases, the predictive accuracy of available screening tests, and the effectiveness of screening programs in relatives of patients affected by NS - TADs . Methods and Results A systematic literature search on PubMed/ MEDLINE , Embase, and the Cochrane Library was conducted from inception to the end of December 2017. The search was supplemented with the Online Mendelian Inheritance in Man database. A total of 53 studies were included, and a total of 2696 NS - TAD relatives were screened. Screening was genetic in 49% of studies, followed by imaging techniques in 11% and a combination of the 2 in 40%. Newly affected individuals were identified in 33%, 24%, and 15% of first-, second-, and third-degree relatives, respectively. Familial NS - TAD s were primarily attributed to single-gene mutations, expressed in an autosomal dominant pattern with incomplete penetrance. Specific gene mutations were observed in 25% of the screened families. Disease subtype and genetic mutations stratified patients with respect to age of presentation, aneurysmal location, and aortic diameter before dissection. Relatives of patients with sporadic NS - TAD s were also found to be affected. No studies evaluated the predictive accuracy of imaging or genetic screening tests, or the clinical or cost-effectiveness of an NS - TAD screening program. Conclusions First- and second-degree relatives of patients affected by both familial and sporadic NS - TAD s may benefit from personalized screening programs.

Indexed as

FamilyAortic Aneurysm, ThoracicAortic DiseasesAortic DissectionEchocardiographyEchocardiography, TransesophagealGenetic TestingHumansMagnetic Resonance ImagingMass ScreeningTomography, X-Ray Computedaortic diseasegenetic testingmortalityscreening

Identifiers

PMID30371227
PMCPMC6201478
OpenAlexW2888968680

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.