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Record W2183127476 · doi:10.17925/enr.2012.07.01.28

Deep Brain Stimulation for Parkinson’s Disease - A Review

2012· review· en· W2183127476 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Neurological Review · 2012
Typereview
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsCentre for Movement DisordersUniversity of British Columbia
Fundersnot available
KeywordsDeep brain stimulationDyskinesiaMedicineParkinson's diseaseIntervention (counseling)Motor symptomsDiseaseRefractory (planetary science)Medical therapyPhysical medicine and rehabilitationIntensive care medicinePhysical therapyPsychiatrySurgeryInternal medicine

Abstract

fetched live from OpenAlex

The majority of patients with Parkinson’s disease (PD) can be treated with medications. As the disease progresses, however, certain symptoms may evolve that are refractory to medical therapy but ideally suited to surgical intervention. Tremor, dyskinesia and motor fluctuation can be effectively treated with deep brain stimulation (DBS). This article highlights which PD patients can benefit from DBS and summarises how the operations are performed and what are the expected outcomes (and potential complications). The relevant literature is reviewed for experienced clinicians and our personal bias is highlighted for those new to the field (and hoping to avoid our early mistakes).

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.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.864
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.127
GPT teacher head0.378
Teacher spread0.251 · 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