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Record W2907623918 · doi:10.21037/atm.2018.11.37

Benefit of nephron sparing surgery translates into lower cancer specific mortality in patients with localized renal cell carcinoma

2018· letter· en· W2907623918 on OpenAlexaff
Francesco Alessandro Mistretta, Elio Mazzone, Sophie Knipper, Pierre I. Karakiewicz

Bibliographic record

VenueAnnals of Translational Medicine · 2018
Typeletter
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsRenal cell carcinomaMedicineNephrectomyUrologyKidney cancerRenal functionCancerNephronStage (stratigraphy)Internal medicineOncologyKidneySurgery

Abstract

fetched live from OpenAlex

National Comprehensive Centre Network (NCCN) (1), as well as European Association of Urology (EAU) (2) guidelines recommend partial nephrectomy (PN) as the treatment of choice for stage T1 renal cell carcinoma (RCC). This recommendation is based on the rationale for maximal renal function preservation, lower risk of cardiovascular events and lower rate of other-cause mortality (OCM) provided by PN, relative to radical nephrectomy (RN) (3-7). Additionally, PN provides equivalent cancer control rates, relative to RN (8).

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)0.005
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: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.002

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 head0.068
GPT teacher head0.296
Teacher spread0.228 · 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
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

Citations4
Published2018
Admission routes1
Has abstractyes

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