Generic vs. Disease-Specific Patient Reported Outcome (PRO) Instruments for Assessing HRQoL Burden Among Patients Diagnosed with Alopecia Areata: Evidence from TARGET-DERM AA
Bibliographic record
Abstract
Introduction Alopecia areata (AA) is a chronic, autoimmune disease characterized by patchy hair loss. Compared to other disease areas, recent work has signaled a potential shortcoming, that generic quality of life (QOL) questionnaires are not sufficiently sensitive to the impact of AA disease severity. This cross-sectional analysis investigates the Short-Form 36, the dermatology life quality index (DLQI), and the Alopecia Areata Patient Priority Outcomes (AAPPO) for similar shortcomings. Methods Patients of all ages enrolled from December 2021 to June 2024 in TARGET-DERM AA (data collection on-going) in the United States and Canada were grouped by Severity of Alopecia Tool (SALT) score (1-20, 21-49, or 50-100). At enrollment, patients completed the AAPPO and DLQI questionnaire as well as the RAND MOS Short-Form 36. The SF-36 has 8 subdomain scores (vitality, physical function, bodily pain, general health, physical role function, emotional role function, social role function, mental health) along with the physical component summaries (PCS), mental component summaries (MCS), and the SF-6D utility index score. The Kruskal-Wallis test compared differences in mean scores across SALT subgroups defined by severity. Results Of the 141 AA patients, 61.7% were female; 95.0% adults, and 67.4% Non-Hispanic White. When comparing the SALT 1-20 and the >50 subgroups, significant differences in SF-36 derived mean scores were only observed in the PCS and the physical function score (p<0.05). None of the other scores (MCS, SF-6D, or other SF-36 subdomains) showed any differences. Mean DLQI scores were similar across subgroups (p>.05) Notably, the hair loss and activity limitation domains of the AAPPO demonstrated significant differences between the patient subgroups (p<.0001 and p<.05, respectively) Discussion In this real-world cohort, generic QoL instruments, namely the SF-36 and DLQI, did not capture differences in the underlying health-related QoL burden of AA patients with different AA severity. Such differences were clear when HRQoL was measured for AA patients with mild hair loss AAPPO.
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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 | 0.013 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".