Effects of Iloprost on Microvascular Structure Assessed by Nailfold Videocapillaroscopy: A Pilot Study: Table 1.
Bibliographic record
Abstract
To the Editor: In patients with systemic sclerosis (SSc), both structural and functional abnormalities of the microvasculature occur1, often resulting in severe digital ischemia with ulceration, scarring, and sometimes even gangrene. The structural abnormalities are well demonstrated by nailfold capillaroscopy2, especially using high magnification videocapillaroscopy3, which allows measurement of capillary density and dimensions. Intravenous (IV) prostanoids, such as iloprost and epoprostenol, are currently the mainstay of treatment for severe SSc-related digital ischemia4,5. In the UK, iloprost is most commonly used. As well as being a potent vasodilator, iloprost inhibits platelet aggregation and is thought also to have vascular remodeling properties6. A key issue is whether IV prostanoids might prevent or even reverse SSc-related microvascular changes; if so, this would be an indication to use these drugs more widely, especially in patients with early disease, in whom microvascular changes are more likely to be reversible than in those with well established problems. We performed a pilot study to investigate whether administration of IV iloprost was associated with structural changes in the digital microvasculature as quantified by nailfold videocapillaroscopy. Nine patients with SSc (7 … Address correspondence to Dr. Herrick; E-mail: ariane.herrick{at}manchester.ac.uk
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".