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Record W4405805926 · doi:10.1212/wnl.0000000000210209

Challenges in Describing Tremor and Dystonia

2024· review· en· W4405805926 on OpenAlexaff
Aasef G. Shaikh, Alfonso Fasano, Sanjay Pandey, Rick C. Helmich, Alberto Albanese, Marie Vidailhet, Rodger J. Elble, Victor S.C. Fung, Marina A.J. Tijssen, Beom S. Jeon, Mark Hallett, Hyder A. Jinnah

Bibliographic record

VenueNeurology · 2024
Typereview
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsToronto Western HospitalUniversity of TorontoOntario Brain InstituteWestern University
FundersU.S. Department of Veterans Affairs
KeywordsDystoniaPhysical medicine and rehabilitationMedicineNeurosciencePsychology

Abstract

fetched live from OpenAlex

Tremor is defined as an oscillatory and rhythmical movement. By contrast, dystonia is defined by sustained or intermittent abnormal postures, repetitive movements, or both. Tremor and dystonia often coexist in the same individual. Sometimes tremor and dystonia occur in the same body region, and sometimes they occur in separate body regions. In other cases, dystonic movements are rapid and repetitive, and they may mimic tremor. The varied clinical phenomenology of dystonia and tremor were recognized in the earliest descriptions of dystonia, and various terms have been used to describe the relationships between tremor and dystonia. The term dystonic tremor was first introduced to distinguish tremor-like movements in dystonia from more common tremors such as essential tremor. Subsequently, the same term was adopted to refer to any combination of dystonia and tremor in the same body region. Both applications of this term continue to be used in the modern literature. Other related terms have also been proposed such as tremor associated with dystonia, tremulous dystonia, dystonia-tremor syndrome, and dystonia with tremor. The proliferation of terms has become confusing, and expert opinion regarding application of these terms is divided, so a group of specialists was assembled to review the terminology and to develop recommendations for a more consistent approach. The group agreed that the term tremor should exclusively refer to rhythmic movements. The group also agreed that repetitive dystonic movements that are grossly arrhythmic should not be labeled with terms that imply they are a type of tremor. Moreover, when tremor and dystonia coexist, it may be clinically more useful to describe them separately, using descriptive terms rather than hybrid terms that imply suspected etiology. Easy-to-use clinical terms are essential, although bedside discrimination of movements may sometimes be challenging. In the future, motion analysis or physiologic measures may aid in the discrimination of movements that remain clinically uncertain.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.067
metaresearch head score (Gemma)0.151
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.354

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0670.151
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0110.006
Science and technology studies0.0050.024
Scholarly communication0.0140.033
Open science0.0100.014
Research integrity0.0140.033
Insufficient payload (model declined to judge)0.0060.007

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 head0.254
GPT teacher head0.370
Teacher spread0.116 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations17
Published2024
Admission routes1
Has abstractyes

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