MétaCan
Menu
← Back to cohort
Record W2511747740 · doi:10.5489/cuaj.4018

Current prostate cancer treatment: Not what but when?

2016· article· en· W2511747740 on OpenAlexaffvenue
Peter Massaro, Ilias Cagiannos

Bibliographic record

VenueCanadian Urological Association Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsBrachytherapyProstatectomyMedicineProstate cancerUrologyBiochemical recurrenceProstateProstate-specific antigenSalvage therapySexual functionOncologyInternal medicineCancerRadiation therapyChemotherapy

Abstract

fetched live from OpenAlex

In their paper, Taussky et al compare the rates of biochemical recurrence and salvage treatment between patients with low- and intermediate-risk prostate cancer treated with permanent seed prostate brachytherapy or radical prostatectomy from 2005–2011. The primary endpoint was biochemical recurrence or salvage therapy at 48 +/− 4 months after localized therapy. Younger patients, as well as those with higher-volume disease (higher initial prostate-specific antigen [PSA] and percentage of positive biopsies) were more likely to develop a biochemical recurrence. However, the central finding in this study was that there was no difference in the biochemical recurrence rate after radical prostatectomy or brachytherapy, which agrees with earlier publications. A recent systematic review by Wolff et al of limited, randomized data demonstrated no significant difference in biochemical progression-free survival in patients with low- to intermediate-risk prostate cancer treated with brachytherapy or radical prostatectomy.1 Patients treated with brachytherapy, however, reported better preservation of sexual function, but worse short-term (<5 years) urinary function.

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)0.009
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0050.007
Open science0.0020.001
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0070.002

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 head0.025
GPT teacher head0.271
Teacher spread0.246 · 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 designNot applicable
Domainnot available
GenreCommentary

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 routes2
Has abstractyes

Explore more

Same venueCanadian Urological Association Journal→Same topicProstate Cancer Diagnosis and Treatment→French-language works237,207→