The Gastrointestinal Dysfunction Scale for Parkinson's Disease
Bibliographic record
Abstract
BACKGROUND: Gastrointestinal dysfunction is an important feature of Parkinson's disease (PD), and there is increasing evidence that it may play a key role in the disease process. However, its assessment is limited by different tools and underlying differences in diagnostic criteria for gastrointestinal dysfunction. To date, there is no psychometric instrument for quantitative evaluation of gastrointestinal symptoms specifically designed for use in PD. OBJECTIVE: The objective of this study was to develop a self-report questionnaire-based instrument, the Gastrointestinal Dysfunction Scale for Parkinson's Disease, and to evaluate its psychometric properties. METHODS: We performed a literature review and conducted 3 focus groups to develop the Gastrointestinal Dysfunction Scale for Parkinson's Disease. Three hundred and sixteen patients with PD and 55 controls completed the Gastrointestinal Dysfunction Scale for Parkinson's Disease, the Non-Motor Symptom Scale, the Hospital Anxiety and Depression Scale, and a stool diary adapted from the Bristol Stool Chart. RESULTS: The Gastrointestinal Dysfunction Scale for Parkinson's Disease demonstrated good internal consistency (Cronbach's α = 0.82) and test-retest stability (0.79 < ICCs > 0.94). Correlation analyses supported good convergent and divergent validity. Receiver operating characteristic analysis demonstrated that a cutoff score of ≥9 on the Gastrointestinal Dysfunction Scale for Parkinson's Disease Constipation subscale discriminates between PD patients with and without constipation. CONCLUSIONS: The Gastrointestinal Dysfunction Scale for Parkinson's Disease is a novel disease-specific self-report tool to quantitatively assess the presence and severity of gastrointestinal dysfunction features in patients with PD, with strong reliability and validity. Further longitudinal studies are needed to demonstrate its utility in tracking gastrointestinal dysfunction in PD clinical cohorts. © 2021 International Parkinson and Movement Disorder Society.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".