Evidence map›Paper›PMID 32239702›Full record

ArticleMuscle & nerve2020

Ultrasound can differentiate inclusion body myositis from disease mimics.

Kristofoor E Leeuwenberg, Nens van Alfen, Lisa Christopher-Stine, Julie J Paik, Eleni Tiniakou, Christopher Mecoli, Jonne Doorduin, Christiaan G J Saris, Jemima Albayda

Abstract readMulticenter Study
In one paragraph

Article in Muscle & nerve, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Observational
  6. Article
  7. Review
  8. 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

9 authors.

Kristofoor E LeeuwenbergDepartment of Neurology, Radboud University Medical Center, Donders Institute for Brain Cognition and Behaviour, Nijmegen, The Netherlands.
Nens van AlfenDepartment of Neurology, Radboud University Medical Center, Donders Institute for Brain Cognition and Behaviour, Nijmegen, The Netherlands.
Lisa Christopher-StineSchool of Medicine, Division of Rheumatology, Johns Hopkins University, Baltimore, Maryland.
Julie J PaikSchool of Medicine, Division of Rheumatology, Johns Hopkins University, Baltimore, Maryland.
Eleni TiniakouSchool of Medicine, Division of Rheumatology, Johns Hopkins University, Baltimore, Maryland.
Christopher MecoliSchool of Medicine, Division of Rheumatology, Johns Hopkins University, Baltimore, Maryland.
Jonne DoorduinDepartment of Neurology, Radboud University Medical Center, Donders Institute for Brain Cognition and Behaviour, Nijmegen, The Netherlands.
Christiaan G J SarisDepartment of Neurology, Radboud University Medical Center, Donders Institute for Brain Cognition and Behaviour, Nijmegen, The Netherlands.
Jemima AlbaydaSchool of Medicine, Division of Rheumatology, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0002-8030-9504

Funding

Optimizing the Approach to Identify Cancer-Associated MyositisK23AR075898 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI MECOLI, CHRISTOPHER · 2019 to 2023
$773k
NIAMS NIH HHS K23 AR075898
6 · The paper itself

Abstract

introductionThe diagnosis of inclusion body myositis (IBM) can be challenging, and its presentation can be confused with other forms of myositis or neuromuscular disorders. In this study we evaluate the ability of quantitative muscle ultrasound to differentiate between IBM and mimicking diseases.

methodsPatients 50 years of age and older were included from two specialty centers. Muscle echogenicity and muscle thickness of four characteristically involved muscles in IBM were measured and compared with polymyositis (PM)/dermatomyositis (DM), other neuromuscular disorders, and healthy controls.

resultsEchogenicity was higher and muscle thickness generally lower in all four muscles in IBM compared with PM/DM and normal controls. When comparing IBM with the comparator groups, the flexor digitorum profundus was the most discriminative muscle. DISCUSSION: Ultrasound appears to be a good test to differentiate established IBM from PM/DM and neuromuscular controls, with value as a diagnostic tool for IBM.

Indexed as

AgedAged, 80 and overDiagnosis, DifferentialFemaleHumansMaleMiddle AgedMyositis, Inclusion BodyNeuromuscular DiseasesRetrospective StudiesUltrasonography, Interventionaldiagnosisechogenicityinclusion body myositisneuromuscular disordersquantitative muscle ultrasound

Identifiers

PMID32239702
PMCPMC7317807

What OpenQuestion holds

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Registered trials

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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.