Evidence map›Paper›PMID 40649801›Full record

ReviewInternational journal of molecular sciences2025

Rare Movement Disorders-An Approach for Clinicians.

Aaron Jesuthasan, Francesca Magrinelli, Amit Batla, Kailash P Bhatia

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. 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. Cellular senescence and aging: molecular mechanisms and convergent pathways.Cellular and molecular life sciences : CMLS · 2026
    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

4 authors.

Aaron JesuthasanDepartment of Neurology, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK.ORCID 0000-0002-7699-8853
Francesca MagrinelliDepartment of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK.ORCID 0000-0003-4706-6245
Amit BatlaDepartment of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK.ORCID 0000-0001-8952-2160
Kailash P BhatiaDepartment of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rare genetic movement disorders usually manifest early in life with dystonia, parkinsonism, chorea, or a combination thereof. These are often associated with neurodevelopmental delay, intellectual disability, speech problems, retinal abnormalities, seizures, ataxia, spasticity, or systemic features. Due to their vast number and pheno-genotypic heterogeneity, the diagnosis of these disorders can be challenging. However, recognising their core motor phenomenology as well as clinical, laboratory, and neuroradiological clues can expedite appropriate diagnostic workup, molecular diagnosis, and adequate treatment. In this review, we outline diagnostic clues to rare movement disorders (RMDs), focusing on those that present mainly with dystonia, parkinsonism, or paroxysmal dyskinesia due to genetic causes. Additionally, we provide a decision tree approach linking clinical, genetic, and imaging testing. Finally, we highlight selected RMDs that should not be missed, as they possess established treatments that can hinder their progression, prevent irreversible or life-threatening sequelae and, in certain cases, lead to complete symptom remission.

Indexed as

Movement DisordersRare DiseasesHumanschoreadiagnosisdystoniageneticsparkinsonismtreatment

Identifiers

PMID40649801
PMCPMC12249825

What OpenQuestion holds

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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.