Comparison of perioperative outcomes between open and minimally invasive nephroureterectomy: A population‐based analysis
Bibliographic record
Abstract
OBJECTIVES: To examine intraoperative and postoperative morbidity and mortality, as well as the impact on length of stay and total hospital charges of minimally invasive nephroureterectomy compared with open nephroureterectomy in patients with upper tract urothelial carcinoma. METHODS: Within the National Inpatient Sample (2008-2013), we identified patients with non-metastatic upper tract urothelial carcinoma treated with either minimally invasive nephroureterectomy or open nephroureterectomy. We relied on inverse probability of treatment weighting to reduce the effect of inherent differences between open nephroureterectomy versus minimally invasive nephroureterectomy. Multivariable logistic regression, multivariable Poisson regression models and multivariable linear regression models were used. RESULTS: Between 2008 and 2013, we identified 3897 patients treated with either minimally invasive nephroureterectomy (1093 [28%]) or open nephroureterectomy (2804 [72%]). In multivariable logistic regression models, minimally invasive nephroureterectomy resulted in lower rates of overall (odds ratio 0.71, P < 0.001), wound (odds ratio 0.49, P = 0.01), intraoperative (odds ratio 0.55, P = 0.01), miscellaneous surgical (odds ratio 0.64, P = 0.008) and miscellaneous medical complications (odds ratio 0.77, P = 0.002). Furthermore, minimally invasive nephroureterectomy was associated with lower rates of transfusions (odds ratio 0.61, P < 0.001). In multivariable Poisson regression models, minimally invasive nephroureterectomy was associated with shorter length of stay (relative risk 0.88, P < 0.001). Finally, higher total hospital charges ($2500 more per patient) were recorded for minimally invasive nephroureterectomy. CONCLUSIONS: Intraoperative and postoperative morbidity, as well as length of stay, but not total hospital charges favor minimally invasive nephroureterectomy over open nephroureterectomy. These outcomes validate the safety and feasibility of minimally invasive nephroureterectomy in select upper tract urothelial carcinoma patients.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".