Evidence map›Paper›PMID 29255695›Full record

ReviewCardiovascular diagnosis and therapy2017

Computed tomography of cardiomyopathies.

Kevin Kalisz, Prabhakar Rajiah

Open access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cardiovascular diagnosis and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Guideline
  2. Review
  3. Article
  4. Article
  5. Imaging in COVID-19-related myocardial injury.The international journal of cardiovascular imaging · 2021
    Review
  6. Review
  7. Review
  8. Review
  9. Advances in cardiac CT.Cardiovascular diagnosis and therapy · 2017
    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

2 authors at 2 institutions in 1 country.

Kevin KaliszUniversity Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Prabhakar RajiahCardiothoracic Imaging, Radiology Department, UT Southwestern Medical Center, Dallas, Texas, USA.
The University of Texas Southwestern Medical Center · USUniversity Hospitals of Cleveland · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac computed tomography (CT) is increasingly used in the evaluation of cardiomyopathies, particularly in patients who are not able to undergo other non-invasive imaging tests such as magnetic resonance imaging (MRI) due to the presence of MRI-incompatible pacemakers/defibrillators or other contraindications or due to extensive artifacts from indwelling metallic devices. Advances in scanner technology enable acquisition of CT images with high spatial resolution, good temporal resolution, wide field of view and multi-planar reconstruction capabilities. CT is useful in cardiomyopathies in several ways, particularly in the evaluation of coronary arteries, characterization of cardiomyopathy phenotype, quantification of cardiac volumes and function, treatment-planning, and post-treatment evaluation. In this article, we review the imaging techniques and specific applications of CT in the evaluation of cardiomyopathies.

Indexed as

cardiaccardiomyopathiesComputed tomography (CT)heart

Identifiers

PMID29255695
PMCPMC5716950
OpenAlexW2756580190

What Socratic 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 Socratic graph.