Giant renal leiomyoma: a case report and brief review of the literature
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We report on a very large renal leiomyoma in a man presenting with a 1-year history of lower back and flank pain and a rapidly growing abdominal mass. Since a cystic renal cell carcinoma could not be ruled out, a postembolization right radical nephrectomy was performed. Diagnosis was confirmed by pathologic and histologic analysis. Renal leiomyomas are very rare benign tumours that are nearly indistinguishable from leiomyosarcoma or renal cell carcinoma preoperatively. This case represents the second largest such entity reported and demonstrates the limited ability of accurate diagnostic determination preoperatively, with pathologic examination and immune-histochemical staining postnephrectomy representing the only definitive means of diagnosis. A brief review of the literature and an outline of typical clinical and pathologic features of renal leiomyomas are also presented.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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