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Record W3033031404 · doi:10.1016/j.brs.2020.06.004

Long-term update of the effect of spinal cord stimulation in advanced Parkinson’s disease patients

2020· letter· en· W3033031404 on OpenAlexafffund
Olivia Samotus, Andrew G. Parrent, Mandar Jog

Bibliographic record

VenueBrain stimulation · 2020
Typeletter
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsLondon Health Sciences CentreLawson Health Research Institute
FundersAllerganMerz PharmaceuticalsAbbVie CanadaBoston Scientific CorporationIpsenNovartisTeva Pharmaceutical IndustriesAbbVieMedtronic
KeywordsMedicineParkinson's diseaseGaitDeep brain stimulationSpinal cord stimulationPhysical medicine and rehabilitationSpinal cordCohortDopaminergicDiseasePhysical therapyInternal medicineDopamine

Abstract

fetched live from OpenAlex

Spinal cord stimulation (SCS) is a minimally-invasive procedure that has shown variable outcomes for dopaminergic-resistant gait impairments in small cohorts of Parkinson’s disease (PD) patients [1]. Our pilot study reported mid-thoracic, epidural SCS significantly improved stride velocity and reduced the number of freezing of gait (FOG) episodes during self-paced straight walking in advanced PD patients after 6 months [2]. However, long-term gait effects (>6 months) of SCS are unclear. This article reports the effect of SCS following 3-years of SCS in our pilot study’s cohort of PD patients [2].

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.014
GPT teacher head0.290
Teacher spread0.275 · 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 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

Citations36
Published2020
Admission routes2
Has abstractyes

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