Evidence map›Paper›PMID 38308356›Full record

ArticleOrphanet journal of rare diseases2024

Instrumented assessment of gait disturbance in PMM2-CDG adults: a feasibility analysis.

Lara Cirnigliaro, Fabio Pettinato, Maria Stella Valle, Antonino Casabona, Agata Fiumara, Michele Vecchio, Valerio Amico, Renata Rizzo, Jaak Jaeken, Rita Barone and 1 more

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 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
0.3field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

11 authors at 2 institutions in 2 countries.

Lara CirnigliaroChild Neurology and Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania - Policlinico, Via Santa Sofia, 78, 95123, Catania, Italy.
Fabio PettinatoChild Neurology and Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania - Policlinico, Via Santa Sofia, 78, 95123, Catania, Italy.
Maria Stella ValleLaboratory of Neuro-Biomechanics, Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, Catania, Italy.
Antonino CasabonaLaboratory of Neuro-Biomechanics, Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, Catania, Italy.
Agata FiumaraReferral Centre for Inherited Metabolic Diseases, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Michele VecchioDepartment of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, 95123, Catania, Italy.
Valerio AmicoLaboratory of Neuro-Biomechanics, Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, Catania, Italy.
Renata RizzoChild Neurology and Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania - Policlinico, Via Santa Sofia, 78, 95123, Catania, Italy.
Jaak JaekenDepartment of Development and Regeneration, Centre for Metabolic Diseases, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium.
Rita BaroneChild Neurology and Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania - Policlinico, Via Santa Sofia, 78, 95123, Catania, Italy. rbarone@unict.it.ORCID 0000-0001-6302-2686
Matteo CioniLaboratory of Neuro-Biomechanics, Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, Catania, Italy.
University of Catania · ITKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCongenital disorders of glycosylation (CDG) are genetic diseases caused by impaired synthesis of glycan moieties linked to glycoconjugates. Phosphomannomutase 2 deficiency (PMM2-CDG), the most frequent CDG, is characterized by prominent neurological involvement. Gait disturbance is a major cause of functional disability in patients with PMM2-CDG. However, no specific gait assessment for PMM2-CDG is available. This study analyses gait-related parameters in PMM2-CDG patients using a standardized clinical assessment and instrumented gait analysis (IGA).

resultsSeven adult patients with a molecular diagnosis of PMM2-CDG were followed-up from February 2021 to December 2022 and compared to a group of healthy control (HC) subjects, matched for age and sex. Standardized assessment of disease severity including ataxia and peripheral neuropathy along with isometric muscle strength and echo-biometry measurements at lower limbs were performed. IGA spatiotemporal parameters were obtained by means of a wearable sensor in basal conditions. PMM2-CDG patients displayed lower gait speed, stride length, cadence and symmetry index, compared to HC. Significant correlations were found among the used clinical scales and between disease severity (NCRS) scores and the gait speed measured by IGA. Variable reduction of knee extension strength and a significant decrease of lower limb muscle thickness with conserved echo intensity were found in PMM2-CDG compared to HC.

conclusionsThe study elucidates different components of gait disturbance in PMM2-CDG patients and shows advantages of using wearable sensor-based IGA in this frame. IGA parameters may potentially serve as quantitative measures for follow-up or outcome quantification in PMM2-CDG.

Indexed as

Congenital Disorders of GlycosylationPhosphotransferases (Phosphomutases)AdultFeasibility StudiesGaitHumansImmunoglobulin AImmunoglobulin APhosphotransferases (Phosphomutases)AtaxiaGaitInstrumented gait analysisPMM2-CDG

Identifiers

PMID38308356
PMCPMC10837865
OpenAlexW4391473533

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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.