Renal Subcapsular Hematoma Formation Due to Hydronephrosis Caused by Recurrent Uterine Cervical Cancer
Bibliographic record
Abstract
Most non-traumatic renal subcapsular hematomas are found in the presence of primary or metastatic renal tumors, or in the presence of vascular disease of the renal blood vessels. We managed an asymptomatic renal subcapsular hematoma that formed due to uterine cervical cancer that metastasized to the left common iliac lymph nodes. A 48-year-old woman with stage IB1 cervical cancer underwent neoadjuvant chemotherapy and concurrent chemoradiation following a radical hysterectomy. Six months after the completion of her first treatment, she developed left-sided hydronephrosis, a left subcapsular hematoma and left common iliac lymph nodes enlargement as demonstrated with contrast-enhanced computed tomography. Although a renal subcapsular hematoma is rarely a symptom of cervical cancer recurrence, it should be considered if other neoplastic or vascular diseases are ruled out.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".