P4‐178: RATER QUALIFICATIONS IN EARLY ALZHEIMER'S DISEASE CLINICAL TRIALS
Bibliographic record
Abstract
Recent trends have shown a shift in dementia clinical trials as scientific gains have been made in the understanding and development of pharmacologic interventions intended to delay the onset of cognitive impairment caused by Alzheimer's disease (AD). The increased focus upon early-stage therapeutic interventions designed to target precursors to the pathogenesis of Alzheimer's disease has broadened the number of psychometric and functional assessments used in these trials to include those developed for, or found to be sensitive to milder, emergent deficits. In many instances the selection of study raters for trials in Early/Prodromal/MCI trials has assumed that experience with more impaired populations using conventional measures is interchangeable with experience appropriate for Early AD studies. The purpose of the poster is to establish the types of qualifications study raters currently bring to Early AD studies. A total of 698 raters from 23 countries across 3 Early AD studies were included in this survey. Data regarding professional background, experience with the study populations, and familiarity with the study-specific rating scales were gathered as part of formalized rater qualification programs for each study. Mean and standard deviations of years of experience by dementia indication and rating scale experience were calculated. Raters were divided into two groups based on type of assessments performed (psychometric versus global rater role). Raters reported different levels of indication experience by the type of assessments they conducted in the trial, and study scale experience for psychometric scales. Raters' reported experience with early AD and the scales most sensitive to change in early AD call into question the assumption that these qualifications are functionally equivalent across types of clinical trials. Given that increasingly sensitive rating scales are typically the primary outcomes for early AD trials, it is essential that rater experience with this sub-population is carefully assessed. Additionally, consideration should be given to providing these raters with additional indication and scale-specific training to ensure accurate assessment of the emergent symptoms of the early phases of the disease.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 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".