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Record W2913964724 · doi:10.1111/iju.13916

Comparison of perioperative outcomes between open and minimally invasive nephroureterectomy: A population‐based analysis

2019· article· en· W2913964724 on OpenAlexaff
Sebastiano Nazzani, Amélie Bazinet, Felix Preißer, Elio Mazzone, Zhe Tian, Francesco Alessandro Mistretta, Shahrokh F. Shariat, Fred Saad, Kevin C. Zorn, E. Montanari, Alberto Briganti, Luca Carmignani, Pierre I. Karakiewicz

Bibliographic record

VenueInternational Journal of Urology · 2019
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineOdds ratioPerioperativeLogistic regressionNephrectomySurgeryPoisson regressionUrologyInternal medicinePopulationKidney

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.040
GPT teacher head0.396
Teacher spread0.356 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations16
Published2019
Admission routes1
Has abstractyes

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