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Record W2753856209 · doi:10.1080/14737140.2017.1374858

New surgical approaches for clinically high-risk or metastatic prostate cancer

2017· review· en· W2753856209 on OpenAlexaff
Paolo Dell’Oglio, Armando Stabile, Giorgio Gandaglia, Emanuele Zaffuto, Nicola Fossati, Marco Bandini, Nazareno Suardi, Pierre I. Karakiewicz, Shahrokh F. Shariat, Francesco Montorsi, Alberto Briganti

Bibliographic record

VenueExpert Review of Anticancer Therapy · 2017
Typereview
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineProstatectomyProstate cancerPerioperativeDissection (medical)Lymph nodeDiseaseRandomized controlled trialCancerSurgeryGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: A considerable number of individuals with prostate cancer (PCa) still harbor locally-advanced and metastatic disease. Although such men were initially not considered eligible for local treatment, the role of radical prostatectomy (RP) has been recently reassessed. Areas covered: This review analyses currently published evidences regarding new surgical approaches for clinically high-risk PCa individuals, as well as the role of cytoreductive surgery in the metastatic setting. The role of robot-assisted radical prostatectomy (RARP) and extended pelvic lymph node dissection will be evaluated with regards to perioperative, oncologic, as well as functional outcomes. Expert commentary: RARP is a feasible approach in PCa patients regardless of the presence of high-risk disease features and can achieve optimal short-term oncologic outcomes and acceptable short/intermediate-term functional outcomes, that are comparable to those reported for open RP. Extended pelvic lymph node dissection can be performed in this setting and should be recommended for all high-risk PCa patients. The overall rate of complications in contemporary men treated with RARP for high-risk disease is not negligible. Cytoreduction in the oligo-metastatic setting is feasible and relatively safe, although evidence is scarce to recommend its widespread adoption. In consequence, longer follow-up data and, ideally, randomized controlled trials are needed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.885
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.267
GPT teacher head0.498
Teacher spread0.231 · 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.

Study designOther design
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

Citations11
Published2017
Admission routes1
Has abstractyes

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