Evidence map›Paper›PMID 42293103›Full record

ArticleFrontiers in neurology

Highlighting the value of polymyography in childhood onset movement disorders.

Raffaella Moretti, Claudia Ravelli, Yara Ahmar, Nathalie Dorison, Marie De Salins, Diana Rodriguez, Kumaran Deiva, Anne Isabelle Vermersch, Minh Hanh Triboulet, Stéphanie Valence and 4 more

Abstract read
In one paragraph

Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

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

14 authors.

Raffaella Moretti *Department of Clinical Neurophysiology, Armand Trousseau Hospital, AP-HP-Sorbonne Université, Paris, France.
Claudia Ravelli *Department of Paediatric Neurology, Armand Trousseau Hospital, Referral Centre for Neurogenetic Rare Disease, APHP-Sorbonne Université, Paris, France.
Yara AhmarDepartment of Clinical Neurophysiology, Saint-Antoine Hospital and Pitié-Salpêtrière Hospital, APHP-Sorbonne Université, Paris, France.
Nathalie DorisonUnité Dyspa, Neurochirurgie Pédiatrique, Hôpital Fondation Rothschild, Paris, France.
Marie De SalinsDepartment of Clinical Neurophysiology, Armand Trousseau Hospital, AP-HP-Sorbonne Université, Paris, France.
Diana RodriguezDepartment of Paediatric Neurology, Armand Trousseau Hospital, Referral Centre for Neurogenetic Rare Disease, APHP-Sorbonne Université, Paris, France.
Kumaran DeivaSorbonne University, Paris, France.
Anne Isabelle VermerschDepartment of Clinical Neurophysiology, Armand Trousseau Hospital, AP-HP-Sorbonne Université, Paris, France.
Minh Hanh TribouletDepartment of Clinical Neurophysiology, Armand Trousseau Hospital, AP-HP-Sorbonne Université, Paris, France.
Stéphanie ValenceService de Neurologie Pédiatrique, Hôpital Armand Trousseau, AP-HP Sorbonne Université, Paris, France.
Madeleine HarionService de Neurologie Pédiatrique, Hôpital Armand Trousseau, AP-HP Sorbonne Université, Paris, France.
Lydie BurglenSorbonne University, Paris, France.
Emmanuelle ApartisDepartment of Clinical Neurophysiology, Saint-Antoine Hospital and Pitié-Salpêtrière Hospital, APHP-Sorbonne Université, Paris, France.
Diane DoummarDepartment of Paediatric Neurology, Armand Trousseau Hospital, Referral Centre for Neurogenetic Rare Disease, APHP-Sorbonne Université, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Characterizing hyperkinetic Movement Disorders (MD) in children is challenging, particularly when distinguishing tremor from myoclonus. Polymyography (EMG combined with accelerometry) and EEG jerk-locked back-averaging are well-established diagnostic tools in adults but are rarely applied in paediatric population. This study aimed to assess the feasibility and contribution of individualized neurophysiological investigations to the classification of hyperkinetic MD in children. Materials and methods: We retrospectively reviewed clinical and neurophysiological data from consecutive patients who underwent polymyography over a two-year period being referred for unclear clinical MD phenomenology. A pediatric MD specialist and a neurophysiologist jointly performed evaluations. Results: 56/60 patients were included (four were excluded due to absent MD during recording or lack of cooperation). Myoclonus was the most frequent polymyography diagnosis (55%), followed by tremor (36%). Initial clinical diagnoses were confirmed in 62% of cases: all suspected cases of myoclonus were validated, whereas 48% patients initially diagnosed with tremor were reclassified as having myoclonus. Polymyography revealed additional MD in 18% of patients, most often myoclonus, and supported a neurofunctional aetiology in one case. After the polymyography, symptomatic pharmacological treatment-mainly for tremor and cortical myoclonus-was proposed in 34%. Additional genetic investigations were suggested in 30% of patients. Discussion and conclusion: Polymyography proved feasible even in young children, including those with intellectual disability. Combined with expertise of an MD specialist, polymyography significantly improves diagnostic accuracy, particularly tremor vs. myoclonus, and guides both aetiologic and therapeutic management. These findings highlight the value of integrating polymyography into paediatric MD evaluation.

Indexed as

childhooddystoniamyoclonusneurophysiologypaediatric movement disorderspolymyographytremor

Identifiers

PMID42293103
PMCPMC13253225

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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.