Use of Patient-Reported Outcomes in Acne Vulgaris and Rosacea Clinical Trials From 2011 to 2021
Bibliographic record
Abstract
Importance: Acne and rosacea have substantial implications for quality of life, and it is therefore important to ensure the patient's voice is being captured in pivotal randomized clinical trials (RCTs). Although patient-reported outcome measures (PROMs) are a valuable tool to capture the patient perspective, little is known about use of PROMs in RCTs on acne and rosacea. Objective: To characterize the use of PROMs in RCTs on acne and rosacea. Evidence Review: A systematic literature search was conducted using the search terms acne vulgaris and rosacea in the following databases: MEDLINE through PubMed, Embase, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews. A modified search hedge for RCTs from the McGill Library was applied. All phase 2, 3, and 4 RCTs published between December 31, 2011, through December 31, 2021, that evaluated the efficacy and safety of therapies for acne and rosacea vs any comparator were eligible for inclusion. Findings: A total of 2461 publications describing RCTs were identified, of which 206 RCTs met the inclusion criteria (163 trials [79%] on acne and 43 [21%] on rosacea). At least 1 PROM was used in 53% of trials (110) included; PROM use was more common in rosacea RCTs (67% [n = 29]) compared with acne RCTs (50% [n = 81]). At least 1 dermatology-specific (13% [n = 27]) or disease-specific (14% [n = 28]) PROM was included in the RCTs analyzed. Only 7% of trials (14) included a PROM as a primary outcome measure. There was no statistically significant increase in PROM inclusion over the study period (11 of 21 trials in 2011 vs 5 of 12 trials in 2021). Conclusions and Relevance: In this systematic review, PROMs were included in approximately one-half of acne and rosacea RCTs performed over the study period. In addition, PROMs were rarely used as a primary outcome measure, and inclusion of PROMs has not increased substantially over the past 10 years. Increasing use of PROMs in RCTs can ensure that the patient's perspective is captured during the development of new treatments for acne and rosacea.
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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 | 0.154 | 0.408 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.010 |
| Bibliometrics | 0.016 | 0.020 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".