Evidence map›Paper›PMID 25632833›Full record

ReviewLife sciences2015

Evidence for distinct effects of exercise in different cardiac hypertrophic disorders.

Emily J Johnson, Brad P Dieter, Susan A Marsh

Abstract readReview
In one paragraph

Review in Life sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Observational
  4. Article
  5. Article
  6. Review
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  8. Article
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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

3 authors.

Emily J JohnsonGraduate Program in Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, WA, USA.
Brad P DieterGraduate Program in Movement Sciences, College of Education, University of Idaho, Moscow, ID, USA; Section of Experimental and Systems Pharmacology, College of Pharmacy, Washington State University, Spokane, WA, USA.
Susan A MarshSection of Experimental and Systems Pharmacology, College of Pharmacy, Washington State University, Spokane, WA, USA. Electronic address: susan.marsh@wsu.edu.

Funding

The Western diet and O-GlcNAc modification of chromatin proteinsR15HL104549 · NHLBI · WASHINGTON STATE UNIVERSITY · PI MARSH, SUSAN ANNE · 2011 to 2011
$451k
NHLBI NIH HHS HL-104549NHLBI NIH HHS R15 HL104549
6 · The paper itself

Abstract

Aerobic exercise training (AET) attenuates or reverses pathological cardiac remodeling after insults such as chronic hypertension and myocardial infarction. The phenotype of the pathologically hypertrophied heart depends on the insult; therefore, it is likely that distinct types of pathological hypertrophy require different exercise regimens. However, the mechanisms by which AET improves the structure and function of the pathologically hypertrophied heart are not well understood, and exercise research uses highly inconsistent exercise regimens in diverse patient populations. There is a clear need for systematic research to identify precise exercise prescriptions for different conditions of pathological hypertrophy. Therefore, this review synthesizes existing evidence for the distinct mechanisms by which AET benefits the heart in different pathological hypertrophy conditions, suggests strategic exercise prescriptions for these conditions, and highlights areas for future research.

Indexed as

CardiomegalyDiabetic CardiomyopathiesExerciseExercise TherapyHumansMyocardiumVentricular RemodelingAerobic exerciseCardiac hypertrophyDiabetic cardiomyopathyExercise prescriptionMyocardial infarctionPathological hypertrophyPhysiological hypertrophy

Identifiers

PMID25632833
PMCPMC4339313

What OpenQuestion holds

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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.