Patient-reported outcome labeling claims and measurement approach for metastatic castration-resistant prostate cancer treatments in the United States and European Union
Bibliographic record
Abstract
BACKGROUND: Metastatic castration-resistant prostate cancer (mCRPC) and its treatment significantly affect health-related quality of life (HRQOL). Our objectives were to evaluate and compare patient-reported outcome (PRO) claims granted by the Food and Drug Administration (FDA) and European Medicines Agency (EMA) for 5 recently approved mCRPC treatments and to examine key characteristics, development, and measurement properties of the PRO measures supporting these claims against current regulatory standards. METHODS: Five products approved for treatment of mCRPC by the FDA and the EMA (2010-2013) were examined: enzalutamide, abiraterone, sipuleucel-T, cabazitaxel, and radium Ra 223 dichloride. United States (US) drug approval packages and European Public Assessment Reports were reviewed. PRO claims in the US labels and European Summaries of Product Characteristics and supporting measures were identified. For PRO measures supporting claims, a targeted literature review was conducted to identify information on key characteristics and measurement properties; this information was compared against FDA PRO guidance criteria. RESULTS: Nine PRO "claims" were granted across 4 of 5 products reviewed. The EMA granted more claims (7 claims-4 for pain, 3 for HRQOL) than the FDA (2 claims, both for pain). The Brief Pain Inventory-Short Form (BPI-SF) worst pain item supported most pain claims and was the only measure supporting US claims. EMA pain claims were supported by BPI-SF worst pain (n = 2) and average pain (n = 1) items and the McGill Pain Questionnaire Present Pain Intensity component (n = 1). EMA HRQOL claims were supported by the Functional Assessment of Cancer Therapy-Prostate Module (n = 2) and the EuroQol 5 Dimensions with visual analogue scale (n = 1). Pain and prostate cancer-specific HRQOL measures supporting claims met US regulatory standards for construct validity, reliability, and responsiveness; these properties were strongest for the BPI-SF worst pain item. Only the BPI-SF worst pain item has documented content validity in mCRPC. CONCLUSIONS: PRO label claims were commonly granted across the mCRPC products reviewed. Among the measures reviewed, only the BPI-SF worst pain item supported US label claims. The BPI-SF worst pain item is recommended for pain assessment for the evaluation of new mCRPC treatments.
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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 | 0.127 | 0.180 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".