Evidence map›Paper›PMID 38734731›Full record

ArticleScientific reports2024

Gait classification for growing children with Duchenne muscular dystrophy.

Ines Vandekerckhove, Eirini Papageorgiou, Britta Hanssen, Nathalie De Beukelaer, Marleen Van den Hauwe, Nathalie Goemans, Anja Van Campenhout, Liesbeth De Waele, Friedl De Groote, Kaat Desloovere

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

10 authors.

Ines VandekerckhoveDepartment of Rehabilitation Sciences, KU Leuven, Leuven, Belgium. ines.vandekerckhove@kuleuven.be.
Eirini PapageorgiouDepartment of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
Britta HanssenDepartment of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
Nathalie De BeukelaerDepartment of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
Marleen Van den HauweDepartment of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
Nathalie GoemansDepartment of Child Neurology, University Hospital Leuven, Leuven, Belgium.
Anja Van CampenhoutDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium.
Liesbeth De WaeleDepartment of Child Neurology, University Hospital Leuven, Leuven, Belgium.
Friedl De GrooteDepartment of Movement Sciences, KU Leuven, Leuven, Belgium.
Kaat DesloovereDepartment of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Classifying gait patterns into homogeneous groups could enhance communication among healthcare providers, clinical decision making and clinical trial designs in boys with Duchenne muscular dystrophy (DMD). Sutherland's classification has been developed 40 years ago. Ever since, the state-of-the-art medical care has improved and boys with DMD are now longer ambulatory. Therefore, the gait classification requires an update. The overall aim was to develop an up-to-date, valid DMD gait classification. A total of 137 three-dimensional gait analysis sessions were collected in 30 boys with DMD, aged 4.6-17 years. Three classes were distinguished, which only partly aligned with increasing severity of gait deviations. Apart from the mildly affected pattern, two more severely affected gait patterns were found, namely the tiptoeing pattern and the flexion pattern with distinct anterior pelvic tilt and posterior trunk leaning, which showed most severe deviations at the ankle or at the proximal segments/joints, respectively. The agreement between Sutherland's and the current classification was low, suggesting that gait pathology with the current state-of-the-art medical care has changed. However, overlap between classes, especially between the two more affected classes, highlights the complexity of the continuous gait changes. Therefore, caution is required when classifying individual boys with DMD into classes.

Indexed as

GaitMuscular Dystrophy, DuchenneAdolescentChildChild, PreschoolGait AnalysisHumansMale

Identifiers

PMID38734731
PMCPMC11088636

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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.