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Determinants of biochemical failure and distant metastases-free survival in high-risk prostate cancer patients treated with external beam radiotherapy.

2020· article· en· W3008508918 on OpenAlexaff
Avinash Pilar, Andrew Bayley, Danny Shehata, Zhihui Liu, Alejandro Berlín, Charles Catton, Vickie Kong, Tara Rosewall, Mary Gospodarowicz, Tim Craig, Joelle Helou, Padraig Warde, Peter Chung

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMedicineProstate cancerRadiation therapyUrologyExternal beam radiotherapyAndrogen deprivation therapyCumulative incidenceProstateInternal medicineNuclear medicineCancerCohort

Abstract

fetched live from OpenAlex

371 Background: Objectives were to1) identify predictors of biochemical failure(BCF) -free survival (FFS) & distant metastases free-survival (DMFS) in high-risk prostate cancer (HRPC) patients treated with external beam radiotherapy (EBRT) with or without androgen deprivation therapy (ADT); 2) assess the impact of nodal irradiation & escalation of dose to the nodal volumes in HRPC. Methods: Between Feb 2000 & May 2011, 462 patients with HRPC were treated with EBRT +/- ADT. This spanned an era of technical development; prior to 2002 conventional dose radiotherapy was routinely delivered, between 2002-2008, dose escalation to the prostate & pelvic lymph nodes was undertaken in a phase II trial & subsequently all patients were treated with a dose-escalated protocol. The disease characteristics included, a median PSA of 20ng/ml (range: 1-563), T3-T4 in 33% (n=158), & Gleason grade group (GGG) 3-5 in 72% (n=331). The majority (n=405, 88%) received ADT with EBRT & median duration of ADT was 36 months (range: 0-197). Dose escalated EBRT was utilized in 52% (n=241) & nodal irradiation in 69% (n=317); escalation of dose to nodal volumes was performed in 20% (n=93). Results: The median follow-up was 8.7yrs (range: 0.9-18.9). Median nadir PSA was < 0.05ng/ml (range: <0.05-5.78) with median time to nadir (TTN) of 11 months (range: 2-130). Cumulative incidence rates of BCF at 5 and 10-yrs were 23% & 45%; corresponding rates for DM were 6.6% & 14%, respectively. The 5 & 10-yr FFS rates were 75% & 51%; corresponding DMFS rates were 91.5% & 80%, respectively. On multivariate analysis, T stage (p<0.001), GGG (p<0.001), ADT (p=0.002), dose escalation to prostate (P=0.012) & median nadir PSA (p<0.001) were independent predictors of FFS. The GGG (p=0.007), median nadir PSA (p=<0.001) & Nodal RT (p=0.03) were independent predictors of DMFS. PSA of 20 & TTN predicted neither FFS nor DMFS. Conclusions: Nadir PSA level was an independent predictor of FFS & DMFS. Undetectable PSA level was associated with prolonged FFS & DMFS. Dose escalation to prostate resulted in an improved FFS & Nodal irradiation in an improved DMFS. Further studies are required to identify subgroups that may benefit the most from nodal irradiation.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.051
GPT teacher head0.413
Teacher spread0.362 · 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
Published2020
Admission routes1
Has abstractyes

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