The IMPACT Programme in Psoriasis: Phase I - where we are now and future directions
Bibliographic record
Abstract
Psoriasis is a common, life-long inflammatory skin condition associated with high levels of physical, psychological and social disability as well as co-morbidities including psoriatic arthritis, the metabolic syndrome, Crohn's disease and non-alcoholic fatty liver disease. Psoriasis is also associated with an increased risk of cardiovascular disease (CVD), however the relationship is not yet wholly understood and is confounded by common co-occurrence of unhealthy lifestyle behaviours such as smoking, drinking excess alcohol or being overweight or sedentary. CVD risk information is complex for clinicians to communicate and patients to understand, and supporting risk-reducing strategies in the form of lifestyle behaviour change is challenging, particularly when people are already living with a demanding long-term condition. Additionally, there are indications that patients are dissatisfied with psoriasis care and that treatment approaches may be inadequate. IMPACT is a five-year programme of applied research, funded by NIHR, which aims to improve health services for people with psoriasis. It comprises a multi-disciplinary team of academics, clinicians and patients and draws on a range of research approaches. Phase I of the programme involves four interlocking workstreams, each focused on key questions in psoriasis management. All findings from Phase I have informed the planning and development of a final workstream (Phase II), the Psoriasis and Wellbeing ('Pso Well'®) intervention, comprising a practitioner training package and new patient resources to support people living with psoriasis to self-manage in the best ways. This article summarises the key findings of IMPACT Phase I and describes the Phase II next steps.
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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 | 0.035 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.025 | 0.006 |
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".