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Record W2995576572 · doi:10.1038/s41531-019-0102-8

Report from a multidisciplinary meeting on anxiety as a non-motor manifestation of Parkinson’s disease

2019· review· en· W2995576572 on OpenAlexafffund
Gregory M. Pontone, N. Dissanayaka, Liana G. Apostolova, Richard G. Brown, Roseanne D. Dobkin, Kathy Dujardin, Joseph H. Friedman, Albert F.G. Leentjens, Eric J. Lenze, Laura Marsh, Lynda Mari, Oury Monchi, Irene Hegeman Richard, Anette Schrag, Antonio P. Strafella, Beth A. Vernaleo, Daniel Weintraub, Zoltán Mari

Bibliographic record

Venuenpj Parkinson s Disease · 2019
Typereview
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsToronto Western HospitalUniversity of TorontoUniversity of Calgary
FundersMedical Research CouncilCanadian Institutes of Health ResearchNational Institutes of HealthLions Medical Research FoundationPatient-Centered Outcomes Research InstituteH. Lundbeck A/SUniversity of CambridgeParkinson's FoundationSouth London and Maudsley NHS Foundation TrustNational Institute for Health and Care ResearchEU Joint Programme – Neurodegenerative Disease ResearchKing's College LondonNational Institute on AgingAlzheimer's AssociationDepartment of Health and Social CareMichael J. Fox Foundation for Parkinson's Research
KeywordsAnxietyParkinson's diseaseQuality of life (healthcare)Multidisciplinary approachMedicineDiseaseClinical psychologyPsychiatryPsychologyNursing

Abstract

fetched live from OpenAlex

Anxiety is a severe problem for at least one-third of people living with Parkinson's disease (PD). Anxiety appears to have a greater adverse impact on quality of life than motor impairment. Despite its high prevalence and impact on daily life, anxiety is often undiagnosed and untreated. To better address anxiety in PD, future research must improve knowledge about the mechanism of anxiety in PD and address the lack of empirical evidence from clinical trials. In response to these challenges, the Parkinson's Foundation sponsored an expert meeting on anxiety on June 13th and 14th 2018. This paper summarizes the findings from that meeting informed by a review of the existing literature and discussions among patients, caregivers, and an international, clinician-scientist, expert panel working group. The goal is to provide recommendations to improve our understanding and treatment of anxiety in PD.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.872
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.040
GPT teacher head0.343
Teacher spread0.302 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations65
Published2019
Admission routes2
Has abstractyes

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