Self‐Report versus Clinician Examination in Early Parkinson's Disease
Bibliographic record
Abstract
Abstract Background Evaluating the discrepancies between patient‐reported measures and clinician examination has implications for formulating individual treatment regimens. Objective This study investigated the association between health outcomes and level of self‐reported motor‐related function impairment relative to clinician‐examined motor signs. Methods Recently diagnosed PD patients were evaluated using the Parkinson's Progression Marker Initiative (PPMI, N = 420) and the PASADENA phase II clinical trial (N = 316). We calculated the average normalized difference between each participant's part II and III MDS‐UPDRS (Movement Disorder Society Unified Parkinson's Disease Rating Scale) scores. Individuals with score differences <25th or >75th percentiles were labeled as low‐ and high‐self‐reporters, respectively (those between ranges were labeled intermediate‐self‐reporters). We compared a wide range of clinical/biomarker readouts among these three groups, using Kruskal–Wallis nonparametric and Pearson's χ 2 tests. Spearman's correlations were tested for associations between MDS‐UPDRS subscales. Results In both cohorts, high‐self‐reporters reported the largest impairment/symptom experience for most motor and nonmotor patient‐reported variables. By contrast, these high‐self‐reporters were similar to or less impaired on clinician‐examined and biomarker measures. Patient‐reported nonmotor symptoms on MDS‐UPDRS part IB showed the strongest positive correlation with self‐reported motor‐related impairment (PPMI r s = 0.54, PASADENA r s = 0.52). This correlation was numerically stronger than the part II and clinician‐examined MDS‐UPDRS part III correlation (PPMI r s = 0.38, PASADENA r s = 0.28). Conclusion Self‐reported motor‐related impairments reflect not only motor signs/symptoms but also other self‐reported nonmotor measures. This may indicate (1) a direct impact of nonmotor symptoms on motor‐related functioning and/or (2) the existence of general response tendencies in how patients self‐rate symptoms. Our findings suggest further investigation into the suitability of MDS‐UPDRS II to assess motor‐related impairments. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".