Evidence map›Paper›PMID 39292434›Full record

Observational studyRheumatology international2024

Can we differentiate patients with dysferlinopathies and inflammatory myopathies by ultrasound? A discriminant analysis study.

Sinthia-Yadira Solorzano-Flores, Carina Soto-Fajardo, Abish Ángeles-Acuña, Fabián Carranza-Enriquez, Rosa Elena Escobar-Cedillo, Saúl-Renán León-Hernandez, Hugo Sandoval, Jiram Torres-Ruiz, Carlos Pineda

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Rheumatology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Sinthia-Yadira Solorzano-FloresRheumatology Department, Instituto Nacional de Rehabilitación Luis Guillermo Ibara Ibarra, Ciudad de México, México.ORCID 0000-0002-7834-4829
Carina Soto-FajardoRheumatology Department, Instituto Nacional de Rehabilitación Luis Guillermo Ibara Ibarra, Ciudad de México, México.ORCID 0000-0001-6148-7789
Abish Ángeles-AcuñaRheumatology Department, Instituto Nacional de Rehabilitación Luis Guillermo Ibara Ibarra, Ciudad de México, México.ORCID 0000-0002-2431-3883
Fabián Carranza-EnriquezRheumatology Department, Instituto Nacional de Rehabilitación Luis Guillermo Ibara Ibarra, Ciudad de México, México.ORCID 0000-0002-2515-8280
Rosa Elena Escobar-CedilloElectromyography and Muscular Dystrophy Service, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Ciudad de México, México.ORCID 0000-0002-5252-3140
Saúl-Renán León-HernandezRheumatology Department, Instituto Nacional de Rehabilitación Luis Guillermo Ibara Ibarra, Ciudad de México, México.ORCID 0000-0002-8346-5422
Hugo SandovalInstituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Ciudad de México, México.ORCID 0000-0002-9622-1558
Jiram Torres-RuizRheumatology Department, Instituto Nacional de Ciencias Médicas y Nutrición, Salvador Zubirán, Ciudad de México, México.ORCID 0000-0002-7882-1488
Carlos PinedaInstituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Ciudad de México, México. carpineda@yahoo.com.ORCID 0000-0003-0544-7461

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic inflammatory myopathies (IIM) are a heterogeneous group of diseases that are characterized by inflammation and muscle weakness. Dysferlinopathies are autosomal recessive limb-girdle muscular dystrophies caused by mutations in DYSF, which share a similar clinical presentation and histopathological inflammatory changes. To determine the sonographic differences between dysferlinopathies and IIM and whether these differences allow their classification. This observational, cross-sectional, and analytical study evaluated 20 muscles from 11 patients with dysferlinopathies and 11 patients with IIM. The patients were matched for age, sex, and disease duration. Clinical and laboratory variables were analyzed. Semi-quantitative scales were used to weigh the gray scale and power Doppler muscle abnormalities. Descriptive statistics were computed and discriminant analysis was performed to determine the ultrasound variables that best predicted the final diagnosis. Forty muscles were evaluated. Atrophy and higher Heckmatt scale scores were observed in patients with dysferlinopathies. A set of three muscles (biceps/brachialis, quadriceps, and gastrocnemius) had a diagnostic accuracy of 100% (sensitivity, 100%; specificity, 100%; canonical coefficient, 0.733 p < 0.001). A set of two formulas was used to classify both diseases correctly. In the present study, scanning of three muscle groups showed high diagnostic accuracy in differentiating dysferlinopathies from MII. Ultrasound can be used as an initial test in patients with suspected muscle disease or as an additional tool to support diagnosis in controversial cases.

Indexed as

Muscle, SkeletalMuscular Dystrophies, Limb-GirdleMyositisAdolescentAdultCross-Sectional StudiesDiagnosis, DifferentialDiscriminant AnalysisDysferlinFemaleHumansMaleMiddle AgedUltrasonographyYoung AdultDysferlinDYSF protein, humanDiagnostic accuracyDysferlinopathiesIdiopathic inflammatory myopathiesUltrasound

Identifiers

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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.