Systemic Nanoparticle Paclitaxel (<i>nab</i>‐Paclitaxel) for In‐stent Restenosis I (SNAPIST‐I): A First‐in‐Human Safety and Dose‐finding Study
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Paclitaxel-eluting stents inhibit restenosis; however, this technology has drawbacks (e.g., stent thrombosis, requirement for long-term antiplatelet therapy, and cost--particularly for patients with multivessel disease). Systemic treatment with a novel 130-nm, albumin-bound particle form of paclitaxel (nab-paclitaxel) has been shown to reduce restenosis in animals. HYPOTHESIS: This study was designed to establish the safety and optimal dose of systemic nab-paclitaxel for reducing in-stent restenosis in humans. If well tolerated, systemic nab-paclitaxel may be used with any available bare-metal stent and at potentially lower cost than drug-eluting stents. METHODS: Patients received nab-paclitaxel 10, 30, 70, or 100 mg/m(2) intravenously after stenting of a single de novo lesion >or= 3 mm in diameter. Study endpoints included safety and major adverse cardiac events (MACE) at 2 and 6 months. RESULTS: Data were obtained for all 23 enrolled patients (mean age 66 +/- 10 years, 74% men, 26% with diabetes). No significant adverse events (AE) were attributable to nab-paclitaxel at 10 or 30 mg/m(2). Moderate neutropenia, moderate sensory neuropathy, and mild to moderate, reversible alopecia occurred only at doses of 70 and 100 mg/m(2); therefore, doses of 70 mg/m(2) or higher were considered unacceptable in this patient population. No MACE were reported at 2 months. At 6 months, 4 target lesion revascularizations (TLR) for restenoses were reported (2 each in the 10- and 100-mg/m(2)-dose groups). CONCLUSIONS: Systemic nab-paclitaxel was well tolerated at doses below 70 mg/m(2) in this group of patients; no unexpected AE were noted. Additional studies are under way to explore intravenous and intracoronary administration of nab-paclitaxel.
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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 | 0.005 | 0.002 |
| 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