Evidence map›Paper›PMID 32754921›Full record

ArticleNMR in biomedicine2020

Multi-parametric MR in Becker muscular dystrophy patients.

Melissa T Hooijmans, Martijn Froeling, Zaida Koeks, Jan J G M Verschuuren, Andrew Webb, Erik H Niks, Hermien E Kan

Open access · hybridAbstract read
In one paragraph

Article in NMR in biomedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

17 citing papers in PubMed, 19 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Melissa T HooijmansC.J. Gorter Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-2233-1383
Martijn FroelingDepartment of Radiology, Utrecht University Medical Center, Utrecht, The Netherlands.ORCID 0000-0003-3841-0497
Zaida KoeksDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
Jan J G M VerschuurenDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
Andrew WebbC.J. Gorter Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-4045-9732
Erik H NiksDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
Hermien E KanC.J. Gorter Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-5772-7177
Leiden University Medical Center · NLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative MRI and MRS of muscle are increasingly being used to measure individual pathophysiological processes in Becker muscular dystrophy (BMD). In particular, muscle fat fraction was shown to be highly associated with functional tests in BMD. However, the muscle strength per unit of contractile cross-sectional area is lower in patients with BMD compared with healthy controls. This suggests that the quality of the non-fat-replaced (NFR) muscle tissue is lower than in healthy controls. Consequently, a measure that reflects changes in muscle tissue itself is needed. Here, we explore the potential of water T

Indexed as

Magnetic Resonance ImagingAdenosine TriphosphateAdolescentAdultAgedHumansHydrogen-Ion ConcentrationMaleMetabolomeMiddle AgedMuscular Dystrophy, DuchennePhosphocreatinePhosphorusWaterYoung AdultAdenosine TriphosphatePhosphocreatinePhosphorusWaterBecker muscular dystrophyphosphorus MRSquantitative MRIskeletal muscle

Identifiers

PMID32754921
PMCPMC7687231
OpenAlexW3047240622

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.