MétaCan
Menu
Back to cohort

Active surveillance criteria for prostate cancer: Can they be applied to Japanese patients?

2011· article· en· W1526613707 on OpenAlexaboutno aff
Yusuke Goto, Kazuyoshi Nozumi, Kanetaka Miyazaki, Akihiro Matsumoto, Atsushi Inoue, Hiroki Kito, Naoki Hasegawa, Maki Nagata, Yukio Kakuta, Hiroyoshi Suzuki, Kunio Yamaguchi

Bibliographic record

VenueInternational Journal of Urology · 2011
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineProstate cancerProstatectomyRadical retropubic prostatectomyProstateCancerProstate-specific antigenGynecologyUrologyGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

Prostate-specific antigen screening has significantly increased the percentage of men who are diagnosed with low-risk prostate cancer. All men undergoing retropubic radical prostatectomy for primary treatment of prostate cancer from April 2004 to September 2010 in our hospital were examined in order to determine whether active surveillance criteria could be applied to Japanese men. From pathological data of prostate biopsies, whether these men met five published criteria for active surveillance (Johns Hopkins Medical Institution, Prostate Cancer Research International: Active Surveillance Study, University of California, San Francisco, Toronto and Kakehi criteria) was evaluated. Men who met any of the criteria had a statistically significant lower extracapsular extension rate and organ-confinement rate. From the view of the possibility of Gleason upgrading and organ-confinement rate, the Johns Hopkins Medical Institution and Prostate Cancer Research International: Active Surveillance Study criteria showed to be appropriate for Japanese patients. However, the present study had limitations of selection bias and a limited number of cases.

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)0.014
metaresearch head score (Gemma)0.052
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 score0.014
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.052
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.029
GPT teacher head0.320
Teacher spread0.292 · 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

Citations6
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of UrologySame topicProstate Cancer Diagnosis and TreatmentFrench-language works237,207