Management of Raynaud’s phenomenon in systemic sclerosis—a practical approach
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
Raynaud's phenomenon is nearly universal in systemic sclerosis. Vasculopathy is part of systemic sclerosis. Raynaud's phenomenon can cause of complications and impairment, especially when tissue ischemia and digital ulcers develop. There are many treatment options for Raynaud's phenomenon in systemic sclerosis often with sparse data and few robust studies comparing the different treatment options. Recommendations from guidelines usually include calcium channel blockers as first-line pharmacological treatment. In the clinical setting, multiple variables such as financial factors, geography where access to medications varies, and patient factors, baseline hypotension, can influence the treatment for Raynaud's phenomenon and digital ulcers. Prostacyclins and PDE-5 inhibitors are reserved for more severe Raynaud's phenomenon or healing of digital ulcers. Prevention of digital ulcers may also include endothelin receptor blocker (bosentan) in some countries. Other treatments had less consensus. Algorithms developed by systemic sclerosis experts might be helpful in deciding which treatment to choose for each setting, using a step-wise strategy, which intends to complement guidelines. This review focuses on a practical approach to the treatment of Raynaud's phenomenon and digital ulcers in systemic sclerosis, based on algorithms designed by systemic sclerosis experts using consensus, and we review the evidence that supports treatment from initial to second and third-line options.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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