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Record W2532979369 · doi:10.1002/pros.23265

The New Prostate Cancer Grading System Does Not Improve Prediction of Clinical Recurrence After Radical Prostatectomy: Results of a Large, Two‐Center Validation Study

2016· article· en· W2532979369 on OpenAlexaff
Paolo Dell’Oglio, R. Jeffrey Karnes, Giorgio Gandaglia, Nicola Fossati, Armando Stabile, Marco Moschini, Vito Cucchiara, Emanuele Zaffuto, Pierre I. Karakiewicz, Nazareno Suardi, Francesco Montorsi, Alberto Briganti

Bibliographic record

VenueThe Prostate · 2016
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineProstatectomyProstate cancerBiochemical recurrenceConcordanceUrologyProportional hazards modelHazard ratioNomogramProstateInternal medicineCancerConfidence interval

Abstract

fetched live from OpenAlex

BACKGROUND: A new prostate cancer (PCa) grading system (namely, Gleason score-GS- ≤6 vs. 3 + 4 vs. 4 + 3 vs. 8 vs. ≥9) was recently proposed and assessed on biochemical recurrence (BCR) showing improved predictive abilities compared to the commonly used three-tier system (GS ≤6 vs. 7 vs. ≥8). We assessed the predictive ability of the five-tier grade group (GG) system on harder clinical endpoint, namely clinical recurrence (CR). METHODS: Between 2005 and 2014, 9,728 clinically localized PCa patients were treated with radical prostatectomy (RP) at two tertiary referral centers. Kaplan-Meier curves, multivariable Cox regression analyses, and concordance index (C-index) were used to assess CR after treatment according to four Gleason grade classifications at biopsy and RP: Group 1: ≤6 versus 7 versus ≥8; Group 2: ≤6 versus 3 + 4 vs. 4 + 3 versus ≥8; Group 3: ≤6 versus 7 versus 8 versus ≥9; Group 4: ≤6 versus 3 + 4 versus 4 + 3 versus 8 versus ≥9. Same analyses were repeated in patients who had BCR (n = 1,624). Decision curve analyses were performed to evaluate and compare the net benefit associated with the use of the four Gleason grade classifications. RESULTS: Overall, 443 (4.6%) patients had CR. The hazard ratio of the GS 3 + 4, 4 + 3, 8, and ≥9 relative to GS ≤6 were 3.63, 5.93, 11.44, 18.08 and 4.93, 9.99, 15.31 and 25.12 in the pre- and post-treatment models, respectively. The C-index of the five-tier GG system was slightly higher relative to the other 3 Gleason grade classifications both in the pre- (range: 0.001-0.006) and post-treatment models (range: 0-0.008). Similar findings were observed when we focused our analyses in patients with BCR after RP. The use of the five-tier GG system did not result into higher net-benefit relative to the other three Gleason grade classifications. CONCLUSIONS: The difference in accuracy between the five-tier GG system and the other Gleason grade classifications, using CR as an endpoint, is clinically negligible. Current evidence suggests that the five-tier GG system represents a simplified user-friendly scheme available for patient counseling rather than a new histopathological diagnostic system that improves the prediction of CR. Prostate 77:263-273, 2017. © 2016 Wiley Periodicals, Inc.

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)0.002
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 score0.325
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.029
GPT teacher head0.350
Teacher spread0.321 · 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

Citations29
Published2016
Admission routes1
Has abstractyes

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