MP75-09 THE NATURAL HISTORY OF RENAL FUNCTION AFTER SURGICAL MANAGEMENT OF RENAL CELL CARCINOMA: RESULTS FROM THE CANADIAN KIDNEY CANCER INFORMATION SYSTEM
Bibliographic record
Abstract
You have accessJournal of UrologyKidney Cancer: Localized: Surgical Therapy V1 Apr 2016MP75-09 THE NATURAL HISTORY OF RENAL FUNCTION AFTER SURGICAL MANAGEMENT OF RENAL CELL CARCINOMA: RESULTS FROM THE CANADIAN KIDNEY CANCER INFORMATION SYSTEM Ross Mason, Anil Kapoor, Zhihui Liu, Olli Saarela, SImon Tanguay, Michael Jewett, Antonio Finelli, Louis Lacombe, Jun Kawakami, Ronald Moore, Chris Morash, Peter Black, and Ricardo Rendon Ross MasonRoss Mason , Anil KapoorAnil Kapoor , Zhihui LiuZhihui Liu , Olli SaarelaOlli Saarela , SImon TanguaySImon Tanguay , Michael JewettMichael Jewett , Antonio FinelliAntonio Finelli , Louis LacombeLouis Lacombe , Jun KawakamiJun Kawakami , Ronald MooreRonald Moore , Chris MorashChris Morash , Peter BlackPeter Black , and Ricardo RendonRicardo Rendon View All Author Informationhttps://doi.org/10.1016/j.juro.2016.02.1727AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Patients who undergo surgical management of renal cell carcinoma (RCC) are at risk for chronic kidney disease due to loss of nephrons and intraoperative ischemic injury. This decrease in renal function is associated with both increased morbidity and mortality. This study explored factors associated with decreased renal function in patients undergoing partial or radical nephrectomy. METHODS Patients who underwent partial or radical nephrectomy were identified from the Canadian Kidney Cancer Information System (CKCIS), a large multiinstitutional prospectively maintained database. Univariable and multivariable logistic regression were used to determine the association between post-operative estimated glomerular filtration rate (eGFR) and type or surgery (radical versus partial), duration of ischemia, ischemia type (warm versus cold), and tumor size. RESULTS With a median follow-up of 26 months, 1379 patients were identified from the CKCIS database including 665 and 714 who underwent partial and radical nephrectomy, respectively. Patients undergoing radical nephrectomy had a lower eGFR at 3, 12, and 24 months post-operatively with the mean eGFR at 3 months being 19 ml/min/1.73m2 lower than those undergoing partial nephrectomy (p<0.001). A lower pre-operative eGFR and increasing age were also associated with a lower eGFR post-operatively (p<0.01) in both the entire cohort and among patients undergoing partial nephrectomy. Severe renal failure (Stage 4 or 5) developed post-operatively in 31.0%, 5.4%, and 1.1% of patients with pre-operative stage 1, 2, or 3 chronic kidney disease. Among patients undergoing partial nephrectomy, ischemia type and duration were not predictive of post-operative decline in eGFR at all time intervals. CONCLUSIONS Patients undergoing radical nephrectomy have a greater long-term reduction in renal function compared with those undergoing partial nephrectomy. In this modern series with generally short ischemia durations, ischemia duration and type were not predictive of post-operative renal function. © 2016FiguresReferencesRelatedDetails Volume 195Issue 4SApril 2016Page: e981-e982 Advertisement Copyright & Permissions© 2016MetricsAuthor Information Ross Mason More articles by this author Anil Kapoor More articles by this author Zhihui Liu More articles by this author Olli Saarela More articles by this author SImon Tanguay More articles by this author Michael Jewett More articles by this author Antonio Finelli More articles by this author Louis Lacombe More articles by this author Jun Kawakami More articles by this author Ronald Moore More articles by this author Chris Morash More articles by this author Peter Black More articles by this author Ricardo Rendon More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.013 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.010 |
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".