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Record W3181748935 · doi:10.1002/mds.28712

Exposure to Phosphoglycerate Kinase 1 Activators and Incidence of Parkinson's Disease

2021· article· en· W3181748935 on OpenAlexaffabout
Priti Gros, Xuesong Wang, Jun Guan, Anthony E. Lang, Peter C. Austin, Blayne Welk, Naomi P. Visanji, Connie Marras

Bibliographic record

VenueMovement Disorders · 2021
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsWestern UniversityInstitute for Work & HealthToronto Western HospitalUniversity of TorontoUniversity Health NetworkInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsPhosphoglycerate kinaseMedicineIncidence (geometry)TamsulosinInternal medicineHazard ratioNeuroprotectionPharmacologyOncologyEnzymeChemistryBiochemistry

Abstract

fetched live from OpenAlex

BACKGROUND: Preclinical and epidemiological data suggest that phosphoglycerate kinase 1 activators could have neuroprotective properties and prevent PD. OBJECTIVES: The objective of this study was to compare the association between increased use of phosphoglycerate kinase 1 activators and increased use of tamsulosin with PD incidence. METHODS: Our retrospective cohort study included men older than age 66 years newly exposed to phosphoglycerate kinase 1 activators or tamsulosin and compared their PD incidence, using health care administrative data of Ontario, Canada. RESULTS: Among 265,745 men, each additional year of cumulative use of phosphoglycerate kinase 1 activators or tamsulosin was associated with 6% and 8% reduction, respectively, in the hazard of PD incidence. These hazards were not significantly different (P = 0.2094). A secondary analysis with the observation window starting after 6 months and 1 and 2 years showed similar results. CONCLUSIONS: Increasing exposure to phosphoglycerate kinase 1 activators and tamsulosin were both associated with small reductions in PD incidence. These results support further investigation of phosphoglycerate kinase 1 activators and tamsulosin for possible PD disease-modifying properties. © 2021 International Parkinson and Movement Disorder Society.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.008
GPT teacher head0.243
Teacher spread0.235 · 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.

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

Citations24
Published2021
Admission routes2
Has abstractyes

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