Laparoscopic Nephrectomy in a Patient with Ankylosing Spondylitis: Surgical and Anesthetic Challenges
Bibliographic record
Abstract
A 55-year-old man with ankylosing spondylitis was referred with left sided loin pain, loin mass, and painless macroscopic hematuria. Physical examination revealed a palpable loin mass, fixed flexion deformity of the lumbar and cervical spines, with severely restricted cervical movement and mouth opening. An ultrasound and computed tomography scan confirmed a 7-cm solid mass in the left kidney. Following a multidisciplinary meeting he elected to undergo radical laparoscopic nephrectomy. An anesthetic opinion was sought in view of the expected difficulties with intubation. Mouth opening was restricted to 3 fingers and he was Mallampati grade 3 on airway examination. As the degree of spinal flexion deformity and restricted spinal movement was significant, the patient was placed in a lateral decubitus position, and surgery was performed using a transperitoneal approach. A five-port technique was employed and was carried out successfully with no complication. Operative time was 240 minutes and estimated blood loss was 700 mL. His postoperative inpatient stay was 4.5 days. Surgical margins were clear and the patient was disease-free at 2-year follow-up. Laparoscopic nephrectomy in a patient with ankylosing spondylitis is technically challenging for both the surgeon and the anesthetist, however, with the right preoperative planning, potential morbidity can be limited to ensure a good outcome for the patient.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".