Establishment of a Percutaneous Nephrostomy Service to Treat Obstructive Uropathy Secondary to Cervical Cancer in Tanzania
Bibliographic record
Abstract
Background Cervical cancer is the fourth most common cancer among women globally. Age-standardized cervical cancer mortality is higher in East Africa than anywhere else in the world. Prior to October 2018, patients presenting with obstructive uropathy secondary to late-stage cervical cancer in Tanzania who were no longer eligible for palliative chemoradiation therapy were discharged home without intervention. The purpose of this study was to evaluate whether the establishment of a percutaneous nephrostomy service in a quaternary hospital in Dar es Salaam, Tanzania, a resource-limited country, benefits patients who have late-stage cancer induced obstructive uropathy. Materials and Methods A retrospective study was performed on patients who presented with obstructive uropathy secondary to late-stage cervical cancer and have undergone percutaneous nephrostomy atMuhimbili National Hospital and Ocean Road Cancer Institute from October 2018 to May 2021. Twenty-one interventional radiology (IR) teaching teams consisting of IR attendings, IR technologists, and nurses travelled toTanzania from North America onmonthly 2-week trips during that period. A review of preprocedural, procedural, and follow-up data was performed using Research Electronic Data Capture. Statistical analysis and comparison were performed on patients’ creatinine levels preprocedure, 7 days and 30 days postprocedure. Results Sixty-two patients qualified to be included in this study. In addition to the initial 62 nephrostomy placements, 14 follow-up procedures were performed either under visiting faculty supervision or independently by the Tanzanian IR fellows.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".