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Record W2886487705 · doi:10.4103/1673-5374.235220

Current surgical treatments for Parkinson's disease and potential therapeutic targets

2018· review· en· W2886487705 on OpenAlex
DarrinJ Lee, RobertF Dallapiazza, Philippe De Vloo, Andrés M. Lozano

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

VenueNeural Regeneration Research · 2018
Typereview
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsUniversity of TorontoToronto Western Hospital
Fundersnot available
KeywordsDeep brain stimulationMedicineParkinson's diseaseDiseaseResting tremorRadiosurgeryEssential tremorPhysical medicine and rehabilitationNeuroscienceSurgeryPsychologyRadiation therapyPathology

Abstract

fetched live from OpenAlex

Currently, the most common surgical treatment for Parkinson's disease is deep brain stimulation (DBS). This treatment strategy is typically reserved for bradykinesia, rigidity and tremor in patients who no longer respond to medication in a predictable manner or who suffer medication-induced dyskinesias. In addition to DBS, ablative procedures like radiofrequency, radiosurgery and focused ultrasound are also utilized for select tremor symptoms. In this review, we discuss evolving surgical techniques, targets, and emerging technology. In addition, we evaluate potential paradigm shifts in treatment, including gene therapy, immunotherapy and cell transplantation. While these new techniques and treatment options are still in their infancy, advances in Parkinson's disease treatment are rapidly expanding.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.894

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 head0.215
GPT teacher head0.472
Teacher spread0.257 · 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