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Record W4408845361 · doi:10.1002/mdc3.70008

Tremor in Pediatric Populations: Clinical Characteristics, Differential Diagnosis, and Management Challenges

2025· review· en· W4408845361 on OpenAlexaff
Christine Ghadery, Carolina Gorodetsky, Anthony E. Lang

Bibliographic record

VenueMovement Disorders Clinical Practice · 2025
Typereview
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsEtiologyEssential tremorMedicineMovement disordersPediatricsPopulationEpidemiologyIntensive care medicinePhysical medicine and rehabilitationPsychiatryPathologyDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Tremor is a hyperkinetic movement disorder defined as a rhythmic, involuntary, oscillatory movement of a body part. It can present as early as in the neonatal period and may be an isolated finding or part of an associated neurological or systemic disorder. Although it is commonly seen in childhood, it is not frequently described in the literature. OBJECTIVES: This review aims to provide a clinically useful overview of pediatric tremors based on the current literature. METHODS: We identified relevant studies published in English by searching PubMed (until February 2024), using the following subject headings: pediatric/tremor, deep brain stimulation, and focused ultrasound. RESULTS: Data from 65 articles were critically reviewed with focus on tremor classification, etiologies, clinical features, and management. CONCLUSION: Some tremor disorders in children can persist into adulthood, however, others are exclusively seen in the pediatric population. The lack of epidemiological and clinical studies in the pediatric population creates substantial challenges for pediatricians, and medical decisions are mostly guided by adult data.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.930
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.186
GPT teacher head0.477
Teacher spread0.292 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations3
Published2025
Admission routes1
Has abstractyes

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