Clinical and pathological features of primary renal angiosarcoma.
Bibliographic record
Abstract
INTRODUCTION: We review all cases of renal angiosarcoma described in the medical literature to describe its clinical and histological features. METHODS: The search term was "angiosarcoma of the kidney." All articles or case reports in English, French, German or Spanish published until March 15, 2013 were considered. When available, data that focused on clinical and pathological features were extracted. RESULTS: In total, the final cohort included 42 cases. The median overall survival (OS) was 5.0 months (95% confidence interval [CI], 2.1-7.9). Patients with metastatic disease had more than a threefold increase in the risk of death compared to patients without meta-static disease (hazard ratio: 3.27, 95% CI, 1.48-7.24; p = 0.004). Non-metastatic patients had dismal disease-free survival (DFS) rates, with a median DFS of 6.0 months (95% CI, 4.3-7.7); despite this, chemotherapy was effective to increase survival in eligible patients (4.0 vs. 1.0 months; p = 0.001). Microscopic examination found epithelioid and spindled cell in 44% and 56% of cases, respectively; there was a statistically insignificant increase in survival in patients with epithelioid patterns compared to spindled ones (9.0 vs. 4.0 months; p = 0.077). The tumour grading was related to OS; the lower the grade, the longer the survival (13 vs. 4 months; p = 0.029). CONCLUSIONS: Renal angiosarcoma is a rare disease with defined clinical and pathological features. It has a very poor prognosis in patients with metastatic disease and a high recurrence rate in patients with non-metastatic disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| 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) | 0.003 | 0.001 |
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".