Utilities for asthma and COPD according to category of severity: a comprehensive literature review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Asthma and chronic obstructive pulmonary disease (COPD) are incurable diseases that impact quality-of-life. OBJECTIVE: To summarize original research articles that measured or utilized preference-based utilities or disutilities according to disease severity. METHODS: Medline and Embase were searched from inception until the end of November 2014. Two reviewers independently searched the literature with differences settled through discussion. Data extracted included utility scores as determined in original research categorized according to disease severity as well as disutilities associated with exacerbations or comorbidities. Data were tabulated and analyzed descriptively. RESULTS: In total, 862 articles were identified, 790 were rejected, and 69 analyzed. There were 44 dealing with COPD and 25 with asthma. Average utilities determined by research were 0.828 ± 0.062, 0.765 ± 0.090, 0.711 ± 0.120, and 0.607 ± 0.120 for mild, moderate, severe, and very severe COPD, respectively. Utilities used in economic analyses were 0.866 ± 0.038, 0.770 ± 0.024, 0.739 ± 0.045, and 0.596 ± 0.075, respectively. Disutilities (annual) ranged from 0.002-0.378; major and minor exacerbations had respective disutilities of 0.287 and 0.108. For asthma patients, utilities were for 0.86 ± 0.32, 0.83 ± 0.065, and 0.74 ± 0.029, for mild, moderate, and severe disease, respectively. CONCLUSIONS: Utilities have been summarized according to severity category of asthma and COPD. These values should be useful for researchers undertaking economic analyses of these diseases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 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 | 0.000 | 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 it