MétaCan
Menu
Back to cohort
Record W4415376644 · doi:10.1177/08830738251383179

Moving Toes Syndrome in Children and Youth: Case Series of a Rare Disorder

2025· article· en· W4415376644 on OpenAlexaff
Asif Doja, Richa Tripathi, David Scarisbrick, Wesley Kimble, Luca Soliani, Rosa Pugliano, Duccio Maria Cordelli, Luca Bergonzini

Bibliographic record

VenueJournal of Child Neurology · 2025
Typearticle
Languageen
FieldMedicine
TopicNeurological and metabolic disorders
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsEtiologyTypically developingLesionSigns and symptomsMovement disorders

Abstract

fetched live from OpenAlex

"Moving toes syndrome" is a rare movement disorder with painful and painless forms. There is a paucity of literature on patients presenting with moving toes syndrome in the first 2 decades. We present 3 cases of moving toes syndrome, with symptom onset between 9 and 19 years. Pain was variable in these patients. Etiologies included minor trauma in 2 patients and a central thalamic-hypothalamic lesion in another. Two of 3 patients required no treatment, and symptoms gradually improved. Similar to adults, children and youth with moving toes syndrome can demonstrate features that overlap with functional movement disorders. Moving toes syndrome presenting in childhood and adolescence appears to be more benign than in adults, with many patients improving over time.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.323

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.230
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Child NeurologySame topicNeurological and metabolic disordersFrench-language works237,207