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Record W2890756999 · doi:10.1016/j.joco.2018.08.004

Risk of Parkinson’s disease in patients with neovascular age-related macular degeneration

2018· article· en· W2890756999 on OpenAlexaff
Mahyar Etminan, Ali Samii, Bonnie He

Bibliographic record

VenueJournal of Current Ophthalmology · 2018
Typearticle
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsUniversity of British Columbia
FundersUniversity of Washington
KeywordsMedicineMacular degenerationDiseaseCohortPathologicalOphthalmologyPediatricsInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: To examine the risk of developing Parkinson's Disease (PD) in patients who are newly diagnosed with neovascular age-related macular degeneration (nAMD). METHODS: This was a cohort study using the British Columbia (BC) Retinal Disease Database. Data from 2009 to 2013 was accessed. Rates of PD in patients prior to the diagnosis of nAMD were computed and compared to the rates of patients newly diagnosed with PD after the diagnosis of nAMD. RESULTS: The rate of PD prior to the diagnosis of nAMD was 1.42 per 100,000 person-years. The rate of PD after the diagnosis of nAMD was 2.88/100,000 person-years. The rate ratio was 2.03 (95% CI; 1.31-3.16). CONCLUSIONS: The findings suggest that patients who are diagnosed with nAMD are at a significantly higher risk of developing PD later in life. More studies are needed to identify the pathological mechanism between the two diseases.

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)0.000
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.297
Teacher spread0.280 · 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

Citations18
Published2018
Admission routes1
Has abstractyes

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