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Record W4408745557 · doi:10.1002/mdc3.70056

Using Principles of Cognitive Behavioral Therapy to Treat Anxiety in Parkinson's Disease

2025· review· en· W4408745557 on OpenAlexaff
Alice Cronin‐Golomb, Bradley McDaniels, Soania Mathur, Gregory M. Pontone, Gretchen Reynolds, Indu Subramanian

Bibliographic record

VenueMovement Disorders Clinical Practice · 2025
Typereview
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsMuscular Dystrophy Canada
Fundersnot available
KeywordsAnxietyDiseasePsychotherapistIntervention (counseling)Quality of life (healthcare)PsychologyMultidisciplinary approachMindfulnessMedicineCognitionCognitive behavioral therapyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Anxiety significantly affects persons with Parkinson's disease (PwP), often emerging in the prodromal phase before the onset of symptoms and persisting throughout the disease's course. It is among the most disabling, stigmatizing, and under-recognized symptoms of Parkinson's disease (PD). Consequently, it is critical to provide tools that can be universally applied and that are accessible to help all PwP live better. This article discusses the nature of anxiety in PwP, how to identify it, and how to treat it across stages of the disease. We highlight cognitive behavioral therapy (CBT), a type of psychotherapy in widespread use for anxiety and depression in general and increasingly used in PwP. The neurologist can apply the basic principles of CBT. The principles can be used by clinicians who are treating PwP globally, as they require no pharmacological intervention and minimal resources. As the disease progresses, a multidisciplinary team may be preferable to address the complex challenges that PD presents, including anxiety. The focus is on a patient-centered approach, providing compassion, hope, and resources to optimize the mental and physical well-being of PwP. Empowering PwP fosters self-agency and can significantly improve quality of life.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
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)0.0000.000

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 head0.195
GPT teacher head0.494
Teacher spread0.299 · 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.

Study designOther design
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

Citations4
Published2025
Admission routes1
Has abstractyes

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