Patient Related Outcomes for Interstitial Cystitis/Bladder Pain Syndrome Recommendations for Clinical Trials and General Urology Practice
Bibliographic record
Abstract
INTRODUCTION: The goal of this committee of the Interstitial Cystitis/Bladder Pain (IC/BPS) Consensus Group was to address the use of patient related outcomes (PROs) in IC/BPS. METHODS: Priority areas of concern and related PICO (Population, Intervention, Comparison, Outcome) questions were addressed based on literature review, committee discussion and consensus group feedback. Consensus recommendations were developed regarding PROs and PRO Measures (PROMs) for the critical PICO questions. RESULTS: PICO questions addressed 4 critical areas of concern: PROs, clinical trial primary endpoints, secondary endpoint PROMs and questionnaires for general practice management. The committee made 12 recommendations regarding outcomes in IC/BPS research and clinical practice. DISCUSSION: The most important recommendation was the unmet need to develop and validate a better IC/BPS specific PRO, based on unbiased patient qualitative research methodology. At the present time, the Numerical Rating/VAS pain scales, voiding diaries and global response assessment are recommended for primary endpoint outcomes in clinical trials. The suggested composite IC/BPS specific PROM is the Genito Urinary Pain Index (GUPI) while the Interstitial Cystitis Symptom Index/Problem Index can be used for trial comparisons. If appropriate, generic PROMs that describe and measure pain, quality of life, sexual, and psychosocial parameters are suggested. Until a validated PRO is developed, the NIH GUPI or the Pain Urinary Frequency (PUF) questionnaire provides reasonable clinical evaluation of patients in standard urology practice. CONCLUSION: PROMs are currently available for use in clinical trials and general practice, but more research is required to create better IC/BPS PRO-based outcome measures.
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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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".