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Record W4386387581 · doi:10.1007/s11523-023-00987-1

Summary of Research: Adjuvant Nivolumab Plus Ipilimumab Versus Placebo for Localized Renal Cell Carcinoma After Nephrectomy (CheckMate 914): A Double-Blind, Randomized, Phase 3 Trial

2023· article· en· W4386387581 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTargeted Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersNational Cancer InstituteOno PharmaceuticalMemorial Sloan-Kettering Cancer CenterBristol-Myers Squibb
KeywordsNivolumabMedicineIpilimumabRenal cell carcinomaPlaceboNephrectomyInternal medicineAdjuvantOncologyAdjuvant therapyKidney cancerClinical trialCancerSurgeryImmunotherapyKidneyPathologyAlternative medicine

Abstract

fetched live from OpenAlex

This is a summary of a research article reporting Part A of the CheckMate 914 study (NCT03138512; EudraCT 2016-004502-34). Following surgery to remove renal cell carcinoma (RCC), people with a high risk of the cancer returning received nivolumab plus ipilimumab (adjuvant therapy) or placebo to see if this risk was reduced. The results of this study showed that the risk of RCC returning or death was not changed with adjuvant nivolumab plus ipilimumab treatment compared with placebo. In addition, people treated with nivolumab plus ipilimumab had more side effects compared with people treated with placebo (89% versus 57%).

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.129
GPT teacher head0.406
Teacher spread0.277 · 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