Evidence map›Paper›PMID 36518091›Full record

ArticleDeutsches Arzteblatt international2023

Diagnostic Cardiac CT for the Improvement of Cardiovascular Event Prediction.

Raimund Erbel, Nils Lehmann, Sara Schramm, Börge Schmidt, Anika Hüsing, Bernd Kowall, Dirk M Hermann, Janine Gronewold, Axel Schmermund, Stefan Möhlenkamp and 5 more

Open access · greenAbstract read
In one paragraph

Article in Deutsches Arzteblatt international, 2023. 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
0.9field-weighted citation impact, top 26% 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. Review
  2. Observational
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

15 authors at 2 institutions in 1 country.

Raimund ErbelInstitute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, University of Duisburg-Essen; Department of Neurology, Essen University Hospital, University Duisburg-Essen; Institute for Urban Public Health, Essen University Hospital, University Duisburg-Essen; School of Public Health, Department of Epidemiology, Boston University; Cardioangological Center Bethanien, Frankfurt; Department of Cardiology, Bethanien Hospital Moers, Moers; Grönemeyer Institute, Bochum; Diagnostikum, Mülheim an der Ruhr.
Nils Lehmann
Sara Schramm
Börge Schmidt
Anika Hüsing
Bernd Kowall
Dirk M Hermann
Janine Gronewold
Axel Schmermund
Stefan Möhlenkamp
Susanne Moebus
Dietrich Grönemeyer
Rainer Seibel
Andreas Stang
Karl-Heinz Jöckelon behalf of the Heinz Nixdorf Recall Study Group.
Essen University Hospital · DEHeinz Nixdorf Stiftung · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the long-term Heinz Nixdorf Recall Study (observation period 20 years) was to establish the extent to which computed tomography (CT) improves the predictability of cardiovascular events relative to determination of risk factors alone.

methodsIn the period 2000-2003, study staff examined 4355 probands (53% of them female) aged 45-75 years with no signs of cardiovascular disease. The Atherosclerotic Cardiovascular Disease (ASCVD) score was calculated on the basis of demographic data and cardiovascular risk factors. Cardiac CT was carried out over the same period and coronary artery calcification (CAC) was graded according to the Agatston score.

resultsThe median duration of follow-up was 18.2 years for men and 17.8 years for women. Myocardial infarction or stroke occurred in 458 (11%) of the 4154 participants with complete data. Overall, estimation of risk using a combination of ASCVD score and CAC grade was superior to the ASCVD score alone-even after 10 and 20 years. Classification into established risk categories improved by 12.2% (95% confidence interval: [5.3%; 18.1%]). In the highest ASCVD risk category, we observed occurrence of a cardiovascular event over 20 years for 14% [5.0%; 23.1%] of probands with a CAC score = 0 but for 34.2% [27.5%; 41.4%] of those with a CAC score ≥ 400. In the lowest ASCVD risk category, an event occurred in 2.4% [1.4%; 3.7%] of probands with a CAC score = 0 and in 23.5% [2.3%; 35.8%] of those with a CAC score ≥ 400.

conclusionEven after 20 years, individual risk prediction is improved by addition of CT-based determination of coronary artery calcification to the ASCVD score. Therefore, assessment of ASCVD risk factors should be complemented more widely by cardiac CT in the primary prevention of cardiovascular disease.

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseMyocardial InfarctionVascular CalcificationFemaleHumansMaleRisk AssessmentRisk FactorsTomography, X-Ray Computed

Identifiers

PMID36518091
PMCPMC10043455
OpenAlexW4311677815

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.