Evidence map›Paper›PMID 33169179›Full record

ReviewEmergency radiology2021

MRI of myositis and other urgent muscle-related disorders.

Paul L Wasserman, Ashley Way, Saif Baig, Dheeraj Reddy Gopireddy

Abstract readReview
In one paragraph

Review in Emergency radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Pyomyositis in an immunocompetent man.Revista da Sociedade Brasileira de Medicina Tropical · 2025
    Article
  7. Review
  8. Article
  9. Review
  10. Autoimmune diseases of the spine and spinal cord.The neuroradiology journal · 2024
    Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. 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

4 authors.

Paul L WassermanUniversity of Florida-College of Medicine Jacksonville, 655 West 8th Street C90, Jacksonville, FL, 32209, USA. Paul.wasserman@jax.ufl.edu.ORCID http://orcid.org/0000-0002-0908-5536
Ashley WayUniversity of Florida-College of Medicine Jacksonville, 655 West 8th Street C90, Jacksonville, FL, 32209, USA.
Saif BaigUniversity of Florida-College of Medicine Jacksonville, 655 West 8th Street C90, Jacksonville, FL, 32209, USA.
Dheeraj Reddy GopireddyUniversity of Florida-College of Medicine Jacksonville, 655 West 8th Street C90, Jacksonville, FL, 32209, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myositis has many etiologies, and it can be encountered in the acute or chronic setting. Our goal is to increase the radiologist's knowledge of myositis and other urgent muscle disorders encountered in the emergent or urgent setting. We review the clinical presentation, the MRI appearance, and the complications that can be associated with these entities. Since myositis can affect multiple muscle compartments, we review how to differentiate the compartments of the appendicular skeletal in order to generate reports that relay important anatomic information to the treating physician. Given the poor sensitivity and positive predictive value of the clinical signs and symptoms used to diagnosing acute compartment syndrome, we discuss the potential use of MRI in cases of suspected but clinically equivocal compartment syndrome in the future.

Indexed as

EmergenciesMagnetic Resonance ImagingCompartment SyndromesDiagnosis, DifferentialHumansMuscular DiseasesMyositisAnatomyCompartment syndromeMRIMyositisRhabdomyolysis

Identifiers

PMID33169179
PMCPMC7652376

What OpenQuestion holds

Textmetadata
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.