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MP50-17 PROGNOSTIC VALUE OF THE SYSTEMIC INFLAMMATION MODIFIED GLASGOW PROGNOSTIC SCORE IN PATIENTS WITH UPPER TRACT UROTHELIAL CARCINOMA (UTUC) TREATED WITH RADICAL NEPHROURETERECTOMY: RESULTS FROM A LARGE MULTICENTER INTERNATIONAL COLLABORATION

2019· article· en· W4242577180 on OpenAlexaboutno aff
Francesco Soria, David D’Andrea, José A. Karam, Christopher G. Wood, Morgan Rouprêt, Vitaly Margulis, Pierre I. Karakiewicz, Alberto Briganti, Jay D. Raman, Karim Bensalah, Yair Lotan, Paolo Gontero, Mesut Remzi, Kilian M. Gust, Shahrokh F. Shariat

Bibliographic record

VenueThe Journal of Urology · 2019
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUrothelial carcinomaInternal medicineUrologyOncologyCancer

Abstract

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You have accessJournal of UrologyBladder Cancer: Upper Tract Transitional Cell Carcinoma I (MP50)1 Apr 2019MP50-17 PROGNOSTIC VALUE OF THE SYSTEMIC INFLAMMATION MODIFIED GLASGOW PROGNOSTIC SCORE IN PATIENTS WITH UPPER TRACT UROTHELIAL CARCINOMA (UTUC) TREATED WITH RADICAL NEPHROURETERECTOMY: RESULTS FROM A LARGE MULTICENTER INTERNATIONAL COLLABORATION Francesco Soria*, David D'Andrea, Jose Karam, Christopher Wood, Morgan Rouprêt, Vitaly Margulis, Pierre Karakiewicz, Alberto Briganti, Jay Raman, Karim Bensalah, Yair Lotan, Paolo Gontero, Mesut Remzi, Kilian Gust, and Shahrokh Shariat Francesco Soria*Francesco Soria* More articles by this author , David D'AndreaDavid D'Andrea More articles by this author , Jose KaramJose Karam More articles by this author , Christopher WoodChristopher Wood More articles by this author , Morgan RouprêtMorgan Rouprêt More articles by this author , Vitaly MargulisVitaly Margulis More articles by this author , Pierre KarakiewiczPierre Karakiewicz More articles by this author , Alberto BrigantiAlberto Briganti More articles by this author , Jay RamanJay Raman More articles by this author , Karim BensalahKarim Bensalah More articles by this author , Yair LotanYair Lotan More articles by this author , Paolo GonteroPaolo Gontero More articles by this author , Mesut RemziMesut Remzi More articles by this author , Kilian GustKilian Gust More articles by this author , and Shahrokh ShariatShahrokh Shariat More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000556458.60096.e3AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail WITHDRAWN Turin, Italy; Vienna, Austria; Houston, TX; Paris, France; Dallas, TX; Montreal, Canada; Milan, Italy; Hershey, PA; Rennes, France; Dallas, TX; Turin, Italy; Vienna, Austria© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e721-e721 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Francesco Soria* More articles by this author David D'Andrea More articles by this author Jose Karam More articles by this author Christopher Wood More articles by this author Morgan Rouprêt More articles by this author Vitaly Margulis More articles by this author Pierre Karakiewicz More articles by this author Alberto Briganti More articles by this author Jay Raman More articles by this author Karim Bensalah More articles by this author Yair Lotan More articles by this author Paolo Gontero More articles by this author Mesut Remzi More articles by this author Kilian Gust More articles by this author Shahrokh Shariat More articles by this author Expand All Advertisement PDF downloadLoading ...

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)0.007
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 score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.008
GPT teacher head0.226
Teacher spread0.219 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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