Evidence map›Paper›PMID 21845461›Full record

ArticleEuropean radiology2012

Indications, imaging technique, and reading of cardiac computed tomography: survey of clinical practice.

M H Maurer, E Zimmermann, P Schlattmann, C Germershausen, B Hamm, Marc Dewey

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Article in European radiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. [The challenging patient-recommendations and solutions].Radiologie (Heidelberg, Germany) · 2024
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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

6 authors.

M H MaurerDepartment of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany.
E Zimmermann
P Schlattmann
C Germershausen
B Hamm
Marc Dewey

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo obtain an overview of the current clinical practice of cardiac computed tomography (CT).

methodsA 32-item questionnaire was mailed to a total of 750 providers of cardiac CT in 57 countries.

resultsA total of 169 questionnaires from 38 countries were available for analysis (23%). Most CT systems used (94%, 207/221) were of the latest generation (64-row or dual-source CT). The most common indications for cardiac CT was exclusion of coronary artery disease (97%, 164/169). Most centres used beta blockade (91%, 151/166) and sublingual nitroglycerine (80%, 134/168). A median slice thickness of 0.625 mm with a 0.5-mm increment and an 18-cm reconstruction field of view was used. Interpretation was most often done using source images in orthogonal planes (92%, 155/169). Ninety percent of sites routinely evaluate extracardiac structures on a large (70%) or cardiac field of view (20%). Radiology sites were significantly more interested in jointly performing cardiac CT together with cardiology than cardiologists. The mean examination time was 18.6 ± 8.4 min, and reading took on average 28.7 ± 17.8 min.

conclusionsCardiac CT has rapidly become established in clinical practice, and there is emerging consensus regarding indications, conduct of the acquisition, and reading.

Indexed as

Coronary AngiographyPractice Patterns, Physicians'Tomography, X-Ray ComputedAdrenergic beta-AntagonistsCardiologyCoronary Artery DiseaseHealth Care SurveysHumansImage Interpretation, Computer-AssistedNitroglycerinPractice Guidelines as TopicRadiation DosageSurveys and QuestionnairesVasodilator AgentsAdrenergic beta-AntagonistsNitroglycerinVasodilator Agents

Identifiers

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.