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Record W2966234183 · doi:10.7759/cureus.5257

Pimavanserin in Parkinson’s Disease-induced Psychosis: A Literature Review

2019· review· en· W2966234183 on OpenAlex
Rikinkumar S. Patel, Jatminderpal Bhela, Sindhu Reddy Pisati, Sadaf Hossain

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

VenueCureus · 2019
Typereview
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPsychosisMedicineParkinson's diseaseAdverse effectClinical trialPlaceboDiseaseInternal medicinePsychiatryPathology

Abstract

fetched live from OpenAlex

Pimavanserin was approved for treating Parkinson's disease (PD) psychosis, based upon 21 completed studies. This review article is to understand PD psychosis and assess the efficacy and safety of pimavanserin. A literature search was carried out using the keyword "pimavanserin" and cross-referencing it with PD, psychosis, efficacy, safety and clinical trial. Participants in pimavanserin group were associated with a 5.79-point decrease in symptoms for PD psychosis (SAPS-PD) scale compared to the 2.73-point decrease seen in the placebo group (P < .001). There were statistically significant improvements in the persecutory delusions, ideas of reference, and global ratings of delusions in pimavanserin group. Pimavanserin was well tolerated with no significant adverse events or worsening of motor function. Pimavanserin at 34 mg daily was shown to be effective for PD-induced psychosis in past clinical trials.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.751
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.067
GPT teacher head0.370
Teacher spread0.304 · 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