Evidence map›Paper›PMID 31798809›Full record

SynthesisMalawi medical journal : the journal of Medical Association of Malawi2018

The role of cardiac magnetic resonance (CMR) in the diagnosis of cardiomyopathy: A systematic review.

Henry Anselmo Mayala, Khamis Hassan Bakari, Wang Zhaohui

Abstract readSystematic Review
In one paragraph

Synthesis in Malawi medical journal : the journal of Medical Association of Malawi, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Review
  3. 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

3 authors.

Henry Anselmo MayalaWuhan Union Hospital, Tongji Medical College of Huazhong, University of Science and Technology, China.
Khamis Hassan BakariWuhan Union Hospital, Tongji Medical College of Huazhong, University of Science and Technology, China.
Wang ZhaohuiWuhan Union Hospital, Tongji Medical College of Huazhong, University of Science and Technology, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyocardial pathologies are significant causes of morbidity and mortality in patients worldwide. Ischemic and non-ischemic cardiomyopathies have become a worldwide epidemic of the 21st century with an increasing impact on health care systems. The 2012 European Society of Cardiology and 2013 American College of Cardiology Foundation/American Heart Association guidelines provide current therapy guidance to reduce mortality and morbidity.

methodsThis was a systematic review involving cardiac magnetic resonance (CMR) studies for the diagnosis of cardiomyopathy from January 2013 to April 2017. Out of 62 reviewed studies, only 12 were included in our study.

resultsThe average sensitivity and specificity of CMR in the diagnosis of cardiomyopathy was 86.75% (95% confidence interval [CI], 70.30% to 92.58%) and 81.75% (95% CI, 73.0% to 87.6%), respectively, and the positive predictive and negative predictive values were 80.17% and 86.75%, respectively.

conclusionDespite some limitations, our study shows that CMR has high sensitivity, specificity, and positive predictive value in diagnosing different types of cardiomyopathy. CMR may be used to differentiate types of cardiomyopathy, accurately quantify the chamber dimensions, volumes, and cardiac function, which make it useful for prognosis as well.

Indexed as

AdolescentAdultAgedCardiomyopathiesEchocardiographyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPredictive Value of TestsYoung AdultCardiac magnetic resonancedilated cardiomyopathyhypertrophic cardiomyopathyischemic cardiomyopathylate gadolinium enhancement

Identifiers

PMID31798809
PMCPMC6863424

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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.