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Record W3096587374 · doi:10.1016/j.euros.2020.10.003

Postoperative Chemotherapy Bladder Instillation After Radical Nephroureterectomy: Results of a European Survey from the Young Academic Urologist Urothelial Cancer Group

2020· article· en· W3096587374 on OpenAlexaff
Tom-Régis Dobé, Gianluigi Califano, Friedrich‐Carl von Rundstedt, Idir Ouzaïd, Simone Albisinni, Atiqullah Aziz, Ettore Di Trapani, Kees Hendricksen, Wojciech Krajewski, Andrea Mari, Marco Moschini, Andrea Necchi, Aidan P. Noon, Cédric Poyet, Benjamin Pradère, Michael Rink, Florian Roghmann, Paul Sargos, Roland Seiler, Francesco Soria, Malte W. Vetterlein, Évanguelos Xylinas

Bibliographic record

VenueEuropean Urology Open Science · 2020
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineUrologyBladder cancerMitomycin CUreteroscopyChemotherapyInternal medicineSurgeryCancerUreter

Abstract

fetched live from OpenAlex

BACKGROUND: Level 1 evidence supports the administration of single postoperative intravesical chemotherapy (pIVC) following radical nephroureterectomy (RNU) for upper tract urothelial carcinoma (UTUC), in order to decrease intravesical recurrence risk. OBJECTIVE: The Young Academic Urologist Urothelial Cancer Group aimed to investigate the use of pIVC in daily practice among European colleagues. DESIGN SETTING AND PARTICIPANTS: An online survey was shared with European Association of Urology Section of Oncological Urology (ESOU) 2017 participants via e-mail. Submissions were accepted from April to June 2017. The topics for 15 questions of this survey included the habit of delivering pIVC, the choice of drug, its dosage, related doubts or concerns, reasons not to perform pIVC, knowledge of the evidence, and surgical preferences for RNU. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Survey software was used for analyses. Logistic regression analyses were used to investigate the association between surgeons' experience and caseloads with pIVC utilization. RESULTS AND LIMITATIONS: Overall, 127 responses were collected (11.6%). About half of the participants (47%) regularly administered pIVC following RNU. The drug most commonly utilized was mitomycin (85%); 82% adhered to the standard dosage of 40 mg. Different administration protocols were adopted: ≤48 h (39%), 7-10 postoperative days (35%), >10 d (11%), and intraoperatively (10%). The evidence was supported by prospective randomized clinical trials for only 65% of responders. Among interviewees who did not deliver pIVC, the most commonly reported reasons were lack of supporting data (55%), fear of potential side effects (18%), and organizational hurdles (15%). CONCLUSIONS: Our research highlights the limited use of pIVC following RNU for UTUC, raising the question of how the compliance with level 1 evidence in the urological community may be promoted. PATIENT SUMMARY: Level 1 evidence supports the administration of single postoperative intravesical chemotherapy (pIVC) following radical nephroureterectomy (RNU) for upper tract urothelial carcinoma (UTUC), in order to decrease intravesical recurrence risk. The Young Academic Urologist Urothelial Cancer Group aimed to investigate the use of pIVC in daily practice among European colleagues. Our research highlights the limited use of pIVC (47%) following RNU for UTUC, raising the question of how the compliance with level 1 evidence in the urological community may be promoted.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.329
Teacher spread0.276 · 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 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

Citations23
Published2020
Admission routes1
Has abstractyes

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