Evidence map›Paper›PMID 42439908›Full record

ReviewInnere Medizin (Heidelberg, Germany)2026

[Computed tomography in cardiology: its necessity and developments].

Philipp Breitbart, Eleni Giokoglu, Emina Yikit, Thomas Voigtländer, Axel Schmermund

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Innere Medizin (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Philipp BreitbartMVZ CCB Frankfurt und Main-Taunus GbR, Im Prüfling 23, 60389, Frankfurt am Main, Deutschland. p.breitbart@ccb.de.
Eleni GiokogluMVZ CCB Frankfurt und Main-Taunus GbR, Im Prüfling 23, 60389, Frankfurt am Main, Deutschland.
Emina YikitMVZ CCB Frankfurt und Main-Taunus GbR, Im Prüfling 23, 60389, Frankfurt am Main, Deutschland.
Thomas VoigtländerMVZ CCB Frankfurt und Main-Taunus GbR, Im Prüfling 23, 60389, Frankfurt am Main, Deutschland.
Axel SchmermundMVZ CCB Frankfurt und Main-Taunus GbR, Im Prüfling 23, 60389, Frankfurt am Main, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac computed tomography angiography (CCTA) has evolved in recent years into a central pillar of non-invasive cardiovascular diagnostics and is now firmly established in both clinical guidelines and everyday practice. In particular, it plays a key role as a first-line modality for ruling out coronary artery disease in patients with low to intermediate pretest probability. In the acute setting, it can also be used in selected patient populations for rapid and reliable exclusion of disease, thereby improving patient management in the emergency department. Beyond the assessment of luminal stenosis, CCTA enables a comprehensive characterization of coronary atherosclerosis. Plaque volume and composition have emerged as key prognostic factors. Modern post-processing techniques allow for increasingly standardized and quantitative analyses, supporting individualized risk stratification and treatment planning. Notably, the detection of subclinical atherosclerosis can facilitate early initiation of preventive strategies and improve patient adherence to therapy. Technological advances such as photon-counting CT, and AI-based plaque analysis have significantly expanded diagnostic capabilities. In addition, CCTA plays an important role in patients after revascularization and in the planning and follow-up of structural heart interventions. Overall, it represents a powerful and versatile imaging modality that substantially enhances diagnosis, risk assessment, and therapeutic decision-making in modern cardiology.

Indexed as

Artificial intelligenceAtherosclerosisCoronary artery diseasePhoton-counting computed tomographyPlaque characterization

Identifiers

What OpenQuestion holds

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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.