Successful Simultaneous Clearance of Bilateral Staghorn Stones with Flexible Uretero-Renoscopic Lasertripsy
Bibliographic record
Abstract
A 50-year-old tetraplegic gentleman was referred with visible haematuria and recurrent urinary tract infections (UTI) presenting as behavioural difficulty. His past medical history includes diffuse brain injury following a motorbike accident, hypertension, BMI 41, performance status 4, and needing a hoist for transfer. CT showed bilateral staghorn complete calculi measuring the maximum length of 3 cm (left) and 4.2 cm (right) with 600 HU. Following best interest meetings, the patient communicated his unwillingness to proceed with PCNL or open surgery due to risks and opted for FURS. His bilateral staghorn stone was completely cleared simultaneously at his primary procedure after a total operative time of 190 min. He had no postoperative complications and was discharged with bilateral stents in situ. He had a second-look FURS 4 weeks later but only required washout of minimal dust and removal of bilateral ureteric stents. His stone analysis confirmed struvite stone. His haematuria, recurrent UTIs, and behavioural issues were resolved. His 6 months postoperative CTKUB showed a dust-free status. This report discusses the challenges of simultaneous bilateral staghorn clearance using FURS.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".