Evidence map›Paper›PMID 28364177›Full record

ReviewThe international journal of cardiovascular imaging2017

Magnetic resonance imaging for characterizing myocardial diseases.

Maythem Saeed, Hui Liu, Chang-Hong Liang, Mark W Wilson

Abstract readReview
PubMed Publisher
In one paragraph

Review in The international journal of cardiovascular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
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  4. Review
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  8. Article
  9. Cardiac MRI Assessment of Mouse Myocardial Infarction and Regeneration.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  10. Article
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  13. Review
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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

4 authors at 2 institutions in 2 countries.

Maythem SaeedDepartment of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, 185 Berry Street, Suite 350, Campus Box 0946, San Francisco, CA, 94107-5705, USA. msaeed@UCSF.edu.ORCID http://orcid.org/0000-0001-5768-8385
Hui LiuDepartment of Radiology, Guangdong General Hospital, Guangzhou, China.
Chang-Hong LiangDepartment of Radiology, Guangdong General Hospital, Guangzhou, China.
Mark W WilsonDepartment of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, 185 Berry Street, Suite 350, Campus Box 0946, San Francisco, CA, 94107-5705, USA.
Guangdong General Hospital · CNUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The National Institute of Health defined cardiomyopathy as diseases of the heart muscle. These myocardial diseases have different etiology, structure and treatment. This review highlights the key imaging features of different myocardial diseases. It provides information on myocardial structure/orientation, perfusion, function and viability in diseases related to cardiomyopathy. The standard cardiac magnetic resonance imaging (MRI) sequences can reveal insight on left ventricular (LV) mass, volumes and regional contractile function in all types of cardiomyopathy diseases. Contrast enhanced MRI sequences allow visualization of different infarct patterns and sizes. Enhancement of myocardial inflammation and infarct (location, transmurality and pattern) on contrast enhanced MRI have been used to highlight the key differences in myocardial diseases, predict recovery of function and healing. The common feature in many forms of cardiomyopathy is the presence of diffuse-fibrosis. Currently, imaging sequences generating the most interest in cardiomyopathy include myocardial strain analysis, tissue mapping (T

Indexed as

Magnetic Resonance ImagingVentricular Function, LeftCardiomyopathiesFibrosisHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMultimodal ImagingMyocardial ContractionMyocardiumPositron-Emission TomographyPredictive Value of TestsPrognosisSeverity of Illness IndexTissue SurvivalCardiomyopathyHeart musclesMagnetic resonance imaging

Identifiers

PMID28364177
OpenAlexW2597892566

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.