A review of the most common patient-reported outcomes in COPD – revisiting current knowledge and estimating future challenges
Bibliographic record
Abstract
Mario Cazzola,1 Nicola Alexander Hanania,2 William MacNee,3 Katja Rüdell,4 Claire Hackford,4 Nihad Tamimi4 1University of Rome ‘Tor Vergata’, Department of Medicine of Systems, Unit of Respiratory Clinical Pharmacology, Rome, Italy; 2Section of Pulmonary, Critical Care and Sleep Medicine, Baylor College of Medicine, Houston, TX, USA; 3University of Edinburgh/MRC Centre for Inflammation Research, The Queen’s Medical Research Institute, Edinburgh, United Kingdom; 4Patient Reported Outcome Center of Excellence, Global Market Access, Primary Care Business Unit, Pfizer, Tadworth, United Kingdom Abstract: Patient-reported outcome (PRO) measures that quantify disease impact have become important measures of outcome in COPD research and treatment. The objective of this literature review was to comprehensively evaluate psychometric properties of available PRO instruments and the ability of each of them to characterize pharmaceutical treatment effects from published clinical trial evidence. Identified in this study were several PRO measures, both those that have been used extensively in COPD clinical trials (St George’s Respiratory Questionnaire and Chronic Respiratory Questionnaire) and new instruments whose full value is still to be determined. This suggests a great need for more information about the patient experience of treatment benefit, but this also may pose challenges to researchers, clinicians, and other important stakeholders (eg, regulatory agencies, pharmaceutical companies) who develop new treatment entities and payers (including but not limited to health technology assessment agencies such as the National Institute for Health and Care Excellence and the Canadian Agency for Drugs and Technologies in Health). The purpose of this review is to enable researchers and clinicians to gain a broad overview of PRO measures in COPD by summarizing the value and purpose of these measures and by providing sufficient detail for interested audiences to determine which instrument may be the most suitable for evaluating a particular research purpose. Keywords: COPD, patient reported outcome, health related quality of life, quality of life, psychometric properties 
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".