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Record W2950936188 · doi:10.82308/27022

Active surveillance in a cohort of men with prostate cancer; McGill University experience

2016· article· en· W2950936188 on OpenAlexaboutno aff
Ghassan A. Barayan

Bibliographic record

VenueeScholarship@McGill (McGill) · 2016
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineProstate cancerCohortBiopsyCancerProstatePathologicalProstate-specific antigenInternal medicineDiseaseCohort studyOncologySurgery

Abstract

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Introduction: Active surveillance (AS) is commonly recommended for men with localized low-intermediate–risk prostate cancer (PCa). The aims of our study were to evaluate clinical and pathological factors that influence the risk for disease progression in a cohort of patients with low-intermediate risk PCa under AS and to assess the probability that patients with PCa would develop unfavorable disease features (UDF) while under AS for the purpose of evaluating whether immediate hemiablation therapy (HAT) could bring clinical benefit to selected patients.Methods: We studied a total of 300 patients diagnosed between 1992 and 2012 with prostate adenocarcinoma with favorable parameters or who refused treatment and were managed with AS. Of those, 155 patients with at least 1 repeat biopsy and no progression criteria at the time of the diagnosis were included for statistical analyses. Patients were followed every 3–6 months for prostate-specific antigen (PSA) measurement and physical examination (PE). Patients were offered repeat prostatic biopsy every year. Disease progression was defined as the presence of one or more of the following criteria: ≥3 positive cores, >50% of cancer in at least 1 core, and a predominant Gleason pattern of ≥4. In our cohort of AS patients, 157 were diagnosed with unilateral PCa with ≥1 repeated biopsy. Using five different definitions of UDF, patients' data were used to simulate the theoretical outcome if these patients were managed by immediate unilateral HAT or remained on AS. Results: For the 155 patients, the mean age (SD) at diagnosis was 67 (7) years; median follow-up was 5.4 years (interquartile range [IQR], 3.6–9.5 years). Of these, 67 patients, 25 patients, 6 patients, and 2 patients had 2, 3, 4, and 5 repeat biopsies, respectively. At baseline, 11 (7%) patients had a Gleason score (GS) of 3+4, while the remaining 144 (93%) patients had a GS of ≤6. A total of 50 (32.3%) patients showed disease progression on repeat biopsies, with a median progression-free survival time of 7 years. The rate of disease progression decreased after the second repeat biopsy. The 5-year overall survival rate was 100%. Having a PSA density (PSAD) of >0.15, >1 positive core, and GS >6 at the time of the diagnosis was associated with a significantly higher rate of disease progression on univariate analysis (P<0.05), while a maximum percentage of cancer in any core of >10% showed a trend toward significance for a higher progression rate (P=0.054). On multivariate analysis, only the presence of PSAD>0.15 remained significant for a higher progression rate (P<0.05). Of 155 patients, 5 (3.2%) subsequently received radiotherapy, 13 (8.4%) received hormonal therapy, and 13 (8.4%) underwent radical prostatectomy. Of the 157 patients who had unilateral PCa, 144 (92%) had a Gleason score (GS) of ≤6. Using the whole range of definition for UDF, 10 to 47% of patients developed UDF while under AS. Using baseline GS, maximum percentage of cancer on any core, and PSAD, we found significant trends for higher development of UDF for patients under AS. Conclusion: AS is a suitable management option for patients with clinically low-risk PCa. A PSAD of >0.15 ng/ml/cc is an important predictor for disease progression. The majority of our patients did not develop UDF while under AS and our study thus suggests that careful patient selection for focal therapy should be performed to avoid subjecting patients to unnecessary treatment.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.070
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.013
GPT teacher head0.238
Teacher spread0.225 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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