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Record W2769510106 · doi:10.1016/j.euf.2017.10.003

Oncological Outcomes of Laparoscopic Nephroureterectomy Versus Open Radical Nephroureterectomy for Upper Tract Urothelial Carcinoma: An European Association of Urology Guidelines Systematic Review

2017· review· en· W2769510106 on OpenAlexaff
B. Peyronnet, Thomas Seisen, Jose-Luis Dominguez-Escrig, Harman Max Bruins, Thomas Lam, Steven MacLennan, James N’Dow, Marko Babjuk, Éva Compérat, Richard Zigeuner, Richard Sylvester, Maximilian Burger, Hugh Mostafid, Bas W.G. van Rhijn, Paolo Gontero, Joan Palou, Shahrokh F. Shariat, Morgan Rouprêt

Bibliographic record

VenueEuropean Urology Focus · 2017
Typereview
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicinePerioperativeContext (archaeology)Cochrane LibraryRandomized controlled trialMeta-analysisLaparoscopyCuffLaparoscopic surgeryRetrospective cohort studySurgeryGeneral surgeryUrologyInternal medicine

Abstract

fetched live from OpenAlex

CONTEXT: Most series have suggested better perioperative outcomes of laparoscopic radical nephroureterectomy (RNU) over open RNU. However, the oncological safety of laparoscopic RNU remains controversial. OBJECTIVE: To systematically review all relevant literature comparing oncological outcomes of open versus laparoscopic RNU. EVIDENCE ACQUISITION: A systematic literature search using the Medline, Embase, and Cochrane databases and clinicaltrial.gov was performed in December 2014 and updated in August 2016. Randomised controlled trials (RCTs) and prospective or retrospective nonrandomised comparative studies comparing the oncological outcomes of any laparoscopic RNU with those of open RNU were included. The primary outcome was cancer-specific survival. The risk of bias (RoB) was assessed using Cochrane RoB tools. A narrative synthesis of the evidence is presented. EVIDENCE SYNTHESIS: Overall, 42 studies were included, which accounted for 7554 patients: 4925 in the open groups and 2629 in the laparoscopic groups. Most included studies were retrospective comparative series. Only one RCT was found. RoB and confounding were high in most studies. No study compared the oncological outcomes of robotic RNU with those of open RNU. Bladder cuff excision in laparoscopic groups was performed via an open approach in most studies, with only three studies reporting laparoscopic removal of the bladder cuff. Port-site metastasis rates ranged from 0% to 2.8%. No significant difference in oncological outcomes was reported in most series. However, three studies, including the only RCT, reported significantly poorer oncological outcomes in patients who underwent laparoscopic RNU, especially in the subgroups of patients with locally advanced (pT3/pT4) or high-grade upper tract urothelial carcinoma (UTUC), as well as in instances when the bladder cuff was excised laparoscopically. CONCLUSIONS: The current available evidence suggests that the oncological outcomes of laparoscopic RNU may be poorer than those of open RNU when bladder cuff is excised laparoscopically and in patients with locally advanced high-risk (pT3/pT4 and/or high-grade) UTUC. PATIENT SUMMARY: We reviewed the literature comparing the outcomes of two different surgical procedures for the treatment of upper tract urothelial carcinoma. Open radical nephroureterectomy is a surgical procedure in which the kidney is removed through a large incision in the abdomen, while in laparoscopic radical nephroureterectomy, the kidney is removed through a number of small incisions. Our findings suggest that the outcomes of laparoscopic radical nephroureterectomy may be poorer than those of open radical nephroureterectomy, particularly when the bladder cuff is also required to be removed. Laparoscopic radical nephroureterectomy may also be less effective in patients with locally advanced (pT3/pT4) or high-grade upper tract urothelial carcinomas.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.012
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.174
GPT teacher head0.436
Teacher spread0.262 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations156
Published2017
Admission routes1
Has abstractno

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