[Takayasu arteritis: a chronic vasculitis that is rare in children].
Bibliographic record
Abstract
Takayasu arteritis was diagnosed in two children, a 15-year-old girl and a 10-year-old boy. The girl had suffered from fatigue, malaise, abdominal pain and weight loss for several months, but no clear cause could be found. A few weeks later, when a blood pressure of 222/155 mmHg was measured, the possibility of renal artery stenosis was considered and imaging studies revealed indications for Takayasu's disease. The patient was given methylprednisolone followed by a combination of prednisone and, initially, cyclophosphamide, later methotrexate. This resulted in a clinical remission of the inflammatory process. The boy presented with increasing fatigue and variable episodes of fever. After 3 years, sarcoidosis or Castleman's disease were considered. Imaging studies revealed aortic stenosis. He underwent stenting of the involved vessel segment. Takayasu arteritis is a chronic vasculitis of unknown origin, affecting mainly the aorta and its main branches. As a result of the inflammation, stenosis, occlusion or dilatation of the involved vessels may occur and cause a wide range of symptoms. Especially in the early phase, the symptoms often are non-specific. One should look for hypertension, blood pressure differences between the two arms, decreased peripheral pulsation or bruits over the aorta and its major branches. Radiological examination may consist ofangiography, magnetic resonance imaging or CT-scans. Treatment consists of corticosteroids and other immunosuppressants, such as cyclophosphamide, methotrexate, azathioprine, and antagonists of tumour-necrosis factor alpha. In addition, balloon dilatation or stenting is often necessary.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".