Updates on Recent Advances in the Therapy of Adult Psoriatic Disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Psoriatic arthritis (PsA) is a heterogeneous inflammatory disease with various joint and skin manifestations and multiple associated comorbidities. The management of PsA is important not only in controlling disease activity and preventing subsequent damage but also in improving the quality of life and reducing mortality. Over the years, numerous drugs have been introduced into the therapeutic armamentarium of the disease. While non-steroidal anti-inflammatory drugs (NSAIDs) and conventional synthetic disease-modifying anti-rheumatic drugs (DMARDs) have contributed to management, it was not until the advent of biologics (and later on targeted synthetic DMARDs) that therapy was revolutionized, with the achievement of significantly better clinical and radiographic outcomes. Several drugs and treatment approaches are currently being tested in clinical trials at different phases. Despite all the success, there are still various challenges and unmet needs in the field of PsA, reflected by difficult-to-treat disease course, secondary failure of therapy, and lack of consensus on accepted treatment withdrawal protocols, among others. In this mini-review, we have discussed the most recent advances in the therapy of psoriatic disease, with a particular focus on phase III studies completed (or ongoing) since 2020. We also mentioned the challenges and unmet needs in our clinical practice, which we expect current and future research to provide answers to.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 it