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Record W2346685985 · doi:10.1111/apm.12533

International Society of Urological Pathology (<scp>ISUP</scp>) grading of prostate cancer – An <scp>ISUP</scp> consensus on contemporary grading

2016· editorial· en· W2346685985 on OpenAlexaff
Lars Egevad, Brett Delahunt, John R. Srigley, Hemamali Samaratunga

Bibliographic record

VenueApmis · 2016
Typeeditorial
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGrading (engineering)MedicineProstatePathologyProstate cancerCancerInternal medicineBiology

Abstract

fetched live from OpenAlex

The International Society of Urological Pathology (ISUP) has issued guidelines for the grading of prostate cancer based on a consensus conference held in 2014. The recommendations resulting from the 2014 consensus conference were a further development of 2005 ISUP modified Gleason grading. In the 2014 system, morphological criteria are clarified, including updated definitions of Gleason pattern 4. In addition to the continued reporting of Gleason scores, we also recommend that Gleason scores ≤6, 3 + 4 = 7, 4 + 3 = 7, 8 and 9-10, respectively, be reported as five groups, i.e. ISUP grades 1-5. This new grading system has the dual benefit of predicting patient outcome as well as facilitating patient communication.

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)0.006
metaresearch head score (Gemma)0.025
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.025
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0040.002
Science and technology studies0.0020.002
Scholarly communication0.0060.005
Open science0.0030.001
Research integrity0.0090.016
Insufficient payload (model declined to judge)0.0100.014

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 head0.030
GPT teacher head0.320
Teacher spread0.290 · 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
GenreEditorial

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

Citations221
Published2016
Admission routes1
Has abstractyes

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