Health-related quality of life in patients with palmoplantar pustulosis – a Swedish register study
Bibliographic record
Abstract
Background Real-world data on health-related quality of life (HRQoL) in palmoplantar pustulosis (PPP) are scarce and few studies have analysed the generic HRQoL.Objectives To assess HRQoL using the generic EQ-5D instrument and the Dermatology Life Quality Index (DLQI) instrument in PPP compared to plaque psoriasis.Methods Cross-sectional data from PsoReg, the Swedish National Registry for Systemic Treatment of Psoriasis (2006–2021), were examined. The study included 306 patients with PPP, out of which 22% had concomitant plaque psoriasis (n = 68), and 7041 patients with plaque psoriasis only. EQ-5D and DLQI were compared between patients with PPP and patients with plaque psoriasis, overall and stratified by sex. A subgroup analysis compared outcomes for patients with PPP vs. patients with severe plaque psoriasis (Psoriasis Area and Severity Index ≥10). Multiple regression analyses were performed to control for potential confounders (age, sex, comorbidities, lifestyle factors).Results Patients with PPP were to a larger extent female (79% vs. 37%, p < .01) and older (mean [SD] age 59.9 [11.9] vs. 50.7 [16.0] years, p < .01) than patients with plaque psoriasis. EQ-5D values were significantly lower (worse) in patients with PPP (mean [SD] 0.622 [0.309]) compared to patients with plaque psoriasis (mean [SD] 0.715 [0.274]). No significant difference was observed compared to patients with severe plaque psoriasis (p = .237). DLQI was comparable in PPP and plaque psoriasis patients (p = .117). In the regression analyses, PPP only and PPP with plaque psoriasis were associated with lower EQ-5D values of 0.065 (p < .01) and 0.061 points (p < .10) compared to plaque psoriasis patients.Conclusions PPP had a substantial negative impact on patients’ generic and dermatology-specific HRQoL. Patients with PPP were worse off in terms of generic HRQoL compared with patients with plaque psoriasis when controlling for the impact of potential confounders.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".