Characterizing the Health-Related Quality of Life Burden of Overactive Bladder Using Disease-Specific Patient-Reported Outcome Measures: A Systematic Literature Review
Bibliographic record
Abstract
INTRODUCTION: The objective was to identify the most commonly used patient-reported outcome (PRO) instruments for overactive bladder (OAB), determine which are the most useful for measuring burden in OAB and characterize the findings of recent studies that have employed PRO instruments to assess OAB symptoms and the effects of treatment. METHODS: A systematic search of OAB literature published between January 2006 and November 2017 using Medline/PubMed and EMBASE databases. RESULTS: Of 3425 abstracts and 500 full-text articles reviewed, 58 studies (both clinical trials and observational studies) were included in the review. The most commonly used PRO instruments were the OAB Questionnaire (OAB-q; 64%), followed by the King's Health Questionnaire (KHQ; 31%) and the Patient Perception of Bladder Condition (PCBC; 21%). Synthesis of data from studies using the OAB-q showed that OAB treatment with antimuscarinics, mirabegron and onabotulinumtoxinA all improve health-related quality of life (HRQoL) and symptoms beyond the benefits observed with placebo. The OAB-q could detect dose-response relationships in some studies and demonstrated there were no significant differences across therapies from different drug classes. CONCLUSION: The HRQoL burden of OAB and response to treatment can be reliably measured by PRO instruments, and the OAB-q is the most commonly used instrument in OAB, particularly in clinical trials of OAB interventions. These data will be useful to provide benchmarks of burden levels for PRO scores obtained among those on contemporary therapies for comparison with outcomes from patients managed with emerging treatments. FUNDING: Astellas Pharma Global Development, Inc.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".