Interpersonal Psychotherapy for Depression in Parkinson’s Disease: A Feasibility Study
Bibliographic record
Abstract
Individuals living with Parkinson's disease (PD) experience interpersonal stressors that contribute to depressive risk. Interpersonal psychotherapy (IPT) emphasizes the bidirectional relationship between interpersonal stressors and mood may therefore be a suitable treatment for PD-depression. The primary aim of this study was to evaluate the feasibility of delivering 12 sessions of IPT to depressed PD patients and explore the need for modifications. A secondary aim was to obtain descriptive information about efficacy outcomes. The study used a pre-post design without a comparison group. Participants were 12 PD patients with a major depressive disorder. IPT was well accepted and tolerated by patients and required minimal modifications. Compliance with session attendance and completion of study questionnaires were excellent and treatment satisfaction was high. Depression scores declined from baseline to endpoint, with 7 patients meeting criteria for remission at endpoint. Findings are encouraging and a larger randomized controlled trial is currently underway to ascertain if IPT is an efficacious treatment for PD-depression.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".