Evidence map›Paper›PMID 39460641›Full record

ArticleMovement disorders clinical practice2024

Inter-rater Agreement for Movement Disorder Classification in Children with Hyperkinetic Movement Disorders.

Sanem Yilmaz, Jennifer Vermilion, Shannon Dean, Roxanna Pourdeyhimi, Jonathan W Mink

Abstract read
In one paragraph

Article in Movement disorders clinical practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Tasks for assessing dystonia in young people with cerebral palsy.medRxiv : the preprint server for health sciences · 2025
    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

5 authors.

Sanem YilmazDivision of Pediatric Neurology, Department of Pediatrics, Ege University Faculty of Medicine, Izmir, Turkiye.ORCID 0000-0002-8719-0665
Jennifer VermilionDivision of Child Neurology, Department of Neurology, University of Rochester, Rochester, New York, USA.
Shannon DeanDivision of Child Neurology, Department of Neurology, University of Rochester, Rochester, New York, USA.
Roxanna PourdeyhimiDivision of Child Neurology, Department of Neurology, University of Rochester, Rochester, New York, USA.
Jonathan W MinkDivision of Child Neurology, Department of Neurology, University of Rochester, Rochester, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate classification is essential for addressing childhood movement disorders (MD), but the common coexistence of multiple MDs complicates this process.

objectiveThe aim was to assess inter-rater agreement on classifying hyperkinetic MDs among pediatric neurologists with expertise in MDs.

methodsFive pediatric neurologists were requested to examine 112 videos of 66 pediatric patients. Based on the Movement Disorder-Childhood Rating Scale, 3 queries were posed: (Q1) Is there more than 1 MD? (Q2) What is the (predominant) MD? (Q3) What is the other MD (if present)?

resultsThe final agreement rates were 57.5% for Q1, 66.6% for Q2, and 43.9% for absolute agreement. All videos with absolute agreement at the first evaluation featured 1 MD, whereas only 2 videos with multiple MDs could totally agree in the final review.

conclusionsThis study reveals significant discordance in classification even among pediatric neurologists with expertise in MDs and highlights the necessity for a standardized approach.

Indexed as

HyperkinesisMovement DisordersAdolescentChildChild, PreschoolFemaleHumansMaleObserver VariationVideo Recordingchildhoodclassificationhyperkineticinter‐rater agreementmovement disorder

Identifiers

PMID39460641
PMCPMC11647986

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.