Advances in the medical and surgical treatment of Takayasu arteritis
Bibliographic record
Abstract
PURPOSE OF REVIEW: Takayasu arteritis remains a therapeutic challenge. In spite of current treatments, progression of vascular lesions is observed frequently. The purpose of this article is to describe advances in therapeutic strategies for Takayasu arteritis. RECENT FINDINGS: Immunosuppressive agents including methotrexate, mycophenolate mofetil, and azathioprine added to corticosteroids can bring Takayasu arteritis into remission in many patients. Unfortunately, relapse is common when prednisone is tapered to dosages of 15 mg/day or less. A better understanding of pathogenesis has lead to trials with anti-tumor necrosis factor-alpha agents in patients with refractory disease. Preliminary results are encouraging. For patients who require revascularization intervention, both surgical and endovascular procedures can be performed that are safe, with low morbidity and mortality. The best long-term outcomes are achieved with conventional bypass grafts. Percutaneous transluminal angioplasty provides good results for short lesions. In contrast to the results in treating atherosclerosis, the use of conventional stents may not yield long-term vessel patency in Takayasu arteritis. Persistent inflammation and endothelial dysfunction may put patients with Takayasu arteritis at risk for premature atherosclerosis. SUMMARY: In the future, greater therapeutic success may be achieved by addressing both the inflammatory and the myointimal proliferative components of Takayasu arteritis. New drugs that target intimal hyperplasia, as well as drug-eluting stents, deserve to be studied for possible utility as adjuncts to present treatments.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".