Evidence map›Paper›PMID 27888415›Full record

SynthesisJournal of neurology2017

Magnetic resonance imaging patterns of muscle involvement in genetic muscle diseases: a systematic review.

Doris G Leung

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in Journal of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01671865 (Magnetic Resonance Imaging and Spectroscopy Biomarkers for Facioscapulohumeral Muscular Dystrophy), which is not on this map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% 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.

NCT01671865 active not recruitingnot on this map

Magnetic Resonance Imaging and Spectroscopy Biomarkers for Facioscapulohumeral Muscular Dystrophy

TypeobservationalSponsorHugo W. Moser Research Institute at Kennedy Krieger, Inc.Ran2012 to 2028Enrolled75ConditionsFacioscapulohumeral Muscular Dystrophy
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Optoacoustic muscle imaging.Journal of neuromuscular diseases · 2026
    Review
  5. Article
  6. X-linked Emery-Dreifuss muscular dystrophy caused by a novelThe Journal of international medical research · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Ambulatory Duchenne muscular dystrophy children: cross-sectional correlation between function, quantitative muscle ultrasound and MRI.Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2022
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

1 author at 1 institution in 1 country.

Doris G LeungCenter for Genetic Muscle Disorders, The Kennedy Krieger Institute, Baltimore, USA. leungd@kennedykrieger.org.
Kennedy Krieger Institute · US

Funding

Magnetic resonance imaging and spectroscopy biomarkers for facioscapulohumeral muscular dystrophyK23NS091379 · NINDS · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI LEUNG, DORIS G · 2015 to 2019
$885k
NINDS NIH HHS K23 NS091379
6 · The paper itself

Abstract

A growing body of the literature supports the use of magnetic resonance imaging as a potential biomarker for disease severity in the hereditary myopathies. We performed a systematic review of the medical literature to evaluate patterns of fat infiltration observed in magnetic resonance imaging studies of muscular dystrophy and congenital myopathy. Searches were performed using MEDLINE, EMBASE, and grey literature databases. Studies that described fat infiltration of muscles in patients with muscular dystrophy or congenital myopathy were selected for full-length review. Data on preferentially involved or spared muscles were extracted for analysis. A total of 2172 titles and abstracts were screened, and 70 publications met our criteria for inclusion in the systematic review. There were 23 distinct genetic disorders represented in this analysis. In most studies, preferential involvement and sparing of specific muscles were reported. We conclude that magnetic resonance imaging studies can be used to identify distinct patterns of muscle involvement in the hereditary myopathies. However, larger studies and standardized methods of reporting are needed to develop imaging as a diagnostic tool in these diseases.

Indexed as

Magnetic Resonance ImagingHumansMusclesMuscular DiseasesCongenital myopathyDistal myopathyMagnetic resonance imagingMuscular dystrophy

Identifiers

PMID27888415
PMCPMC5445016
OpenAlexW2552560561

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.