Evidence map›Paper›PMID 28352516›Full record

ArticlePreventive medicine reports2017

Extensive carotid atherosclerosis and the diagnostic accuracy of coronary risk calculators.

Michel Romanens, Martin Bødtker Mortensen, Isabella Sudano, Thomas Szucs, Ansgar Adams

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05758779 (Coronary CT Screening of Patients With Familial Hypercholesterolemia - The Prevalence of Subclinical Atherosclerosis in Familial Hypercholesterolemia in the Region of Southern Denmark), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 10% 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.

NCT05758779 naactive not recruitingnot on this mapstarted 2023, after this paper: background citation

Coronary CT Screening of Patients With Familial Hypercholesterolemia - The Prevalence of Subclinical Atherosclerosis in Familial Hypercholesterolemia in the Region of Southern Denmark

TypeinterventionalSponsorOdense University HospitalRan2023 to 2025Enrolled100ConditionsFamilial Hypercholesterolemia, AtherosclerosisArmsVisualization of coronary Imaging and oral description
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

5 authors at 3 institutions in 2 countries.

Michel RomanensVascular Risk Foundation, Olten, Switzerland.
Martin Bødtker MortensenDepartment of Cardiology, Aarhus Universitetshospital, Aarhus, Denmark.
Isabella SudanoUniversity Heart Center, Cardiology, University Hospital, Zurich, Switzerland.
Thomas SzucsEuropean Centre of Pharmaceutical Medicine (ECPM), Basel, Switzerland.
Ansgar AdamsBAD Gesundheitsvorsorge und Sicherheitstechnik GmbH, Bonn, Germany.
Aarhus University · DKEU Business School, Geneva · CHUniversity Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preventive therapy in primary care is guided by risk thresholds for future cardiovascular events. We aimed to assess whether the sensitivity of various risk calculators for the detection of subclinical carotid atherosclerosis (TPA80) could be improved by lowering risk thresholds in younger age groups. We compared sensitivity, specificity, and discriminatory performance of SCORE, SCORE-HDL, PROCAM, AGLA, FRAM and PCE coronary risk calculators to detect total plaque area > 80 mm2 (TPA80), a coronary risk equivalent, in age groups 40-55, 56-65, 66-75 from Germany (DE,

Indexed as

AtherosclerosisCarotid plaqueRisk-predictionStatin-indication

Identifiers

PMID28352516
PMCPMC5367800
OpenAlexW2597060741

What OpenQuestion holds

Textmetadata
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.