Evidence map›Paper›PMID 38520541›Full record

ReviewSkeletal radiology2024

Imaging spectrum of atraumatic muscle disorders: a radiologist's guide.

Dâmaris Versiani C Gonçalves, Lucas N M da Silva, Júlio Brandão Guimarães, Isabela A N da Cruz, Alípio Gomes Ormond Filho

Abstract readReview
PubMed Publisher
In one paragraph

Review in Skeletal radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Dâmaris Versiani C GonçalvesDepartment of Musculoskeletal Radiology, Fleury Medicina E Saúde, Sao Paulo, Brazil. dvcaldeira@gmail.com.ORCID http://orcid.org/0000-0001-7474-1934
Lucas N M da SilvaDepartment of Musculoskeletal Radiology, Fleury Medicina E Saúde, Sao Paulo, Brazil.
Júlio Brandão GuimarãesDepartment of Musculoskeletal Radiology, Fleury Medicina E Saúde, Sao Paulo, Brazil.
Isabela A N da CruzDepartment of Musculoskeletal Radiology, Fleury Medicina E Saúde, Sao Paulo, Brazil.
Alípio Gomes Ormond FilhoDepartment of Musculoskeletal Radiology, Fleury Medicina E Saúde, Sao Paulo, Brazil.
Fleury S.A. (Brazil) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atraumatic muscle disorders comprise a very wide range of skeletal muscle diseases, including metabolic, inflammatory, autoimmune, infectious, ischemic, and neoplastic involvement of the muscles. Therefore, one must take clinical and laboratory data into consideration to elucidate the differential diagnoses, as well as the distribution of the muscle compromise along the body-whether isolated or distributed along the body in a symmetric or asymmetrical fashion. Assessment of muscular disorders often requires imaging investigation before image-guided biopsy or more invasive procedures; therefore, radiologists should understand the advantages and limitations of imaging methods for proper lesion evaluation and be aware of the imaging features of such disorders, thus contributing to proper decision-making and good patient outcomes. In this review, we propose a systematic approach for the assessment of muscle disorders based on their main imaging presentation, dividing them into patterns that can be easily recognized.

Indexed as

Muscle, SkeletalMuscular DiseasesDiagnosis, DifferentialHumansRadiologyAtraumatic muscle disordersComputed tomographyMagnetic resonance imagingMuscle disordersRadiographyUltrasonography

Identifiers

PMID38520541
OpenAlexW4393115601

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.