PSOLAR: design, utility, and preliminary results of a prospective, international, disease-based registry of patients with psoriasis who are receiving, or are candidates for, conventional systemic treatments or biologic agents.
Bibliographic record
Abstract
BACKGROUND: Long-term observational studies can better characterize the impact of systemic agents on psoriasis. OBJECTIVE: To describe the on-going Psoriasis Longitudinal Assessment and Registry (PSOLAR) study. METHODS: PSOLAR is a large, international, long-term, prospective, disease-based registry enrolling patients with psoriasis who are receiving, or are candidates for, treatment with systemic therapies. The registry fulfills postmarketing regulatory commitments and charges a global Steering Committee to manage epidemiological research on psoriasis and its therapies. Key demographics, disease characteristics, and medication history are collected at enrollment. Adverse events and efficacy data are collected longitudinally. RESULTS: The August 2011 annual database extract includes 9,495 patients enrolled at 266 global centers. At entry, mean percent of body surface area affected by psoriasis was 12.3% (peak, 29.5%). Approximately 80% of patients were overweight/obese, more than one-third had cardiovascular disease (38.8%) or psoriatic arthritis as captured by the treatment center (37.1%), and over half had received one or two biologic agents (58.8%) or phototherapy (54.8%). Mean duration of participation is 1.3 years, and annual withdrawal rates are less than 6.5%. Of 9,495 patients, 7,476 have been exposed to at least one biologic agent. Serious infections, malignancies, all-cause mortality, and major adverse cardiovascular events (ie, myocardial infarction, stroke, cardiovascular death) occurred at rates of 1.40, 0.61, 0.37, and 0.36 per 100 patient-years of follow-up, respectively. LIMITATIONS: PSOLAR may be subject to limitations common to observational studies (eg, participation bias and potential confounders). CONCLUSION: PSOLAR is a disease-based registry designed to assess therapeutic risk and benefit in the general psoriasis population.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".