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Record W2898119006 · doi:10.1093/annonc/mdy287.078

KEYNOTE-412: Phase III study of pembrolizumab plus chemoradiation vs chemoradiation alone for locally advanced head and neck squamous cell carcinoma (HNSCC)

2018· article· en· W2898119006 on OpenAlexaff
J.-P. Machiels, Lisa Licitra, Yungan Tao, Chung‐Jen Yen, Danny Rischin, John Waldron, Barbara Burtness, V. Grégoire, Sanjiv S. Agarwala, Jeffrey T. Yorio, Jean‐Pierre Delord, Sercan Aksoy, Sadakatsu Ikeda, Ruey‐Long Hong, Joy Yang Ge, Holly Brown, Behzad Bidadi, Lillian L. Siu

Bibliographic record

VenueAnnals of Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsPrincess Margaret Cancer Centre
FundersEMD SeronoMorphoSysSwedish Orphan BiovitrumAstellas PharmaGenentechSymphogenAstraZenecaAmgenPfizerEisaiMerckGlaxoSmithKline
KeywordsMedicinePembrolizumabHead and neck squamous-cell carcinomaOncologyHead and neckInternal medicineChemoradiotherapyBasal cellPhases of clinical researchHead and neck cancerRadiation therapyChemotherapyCancerOverall survivalSurgeryImmunotherapy

Abstract

fetched live from OpenAlex

Background: Preclinical data suggest improved tumor growth control and survival when radiation therapy (RT) is combined with a PD-1 inhibitor. Pembrolizumab is effective for treatment of recurrent/metastatic HNSCC, and initial results from a phase 1b study suggest that pembrolizumab plus chemoradiation therapy (CRT) is tolerable in patients with locally advanced (LA) HNSCC. KEYNOTE-412 (NCT03040999) is a phase 3, randomized, placebo-controlled, double-blind trial to determine efficacy and safety of pembrolizumab plus CRT and as maintenance therapy vs placebo plus CRT in LA-HNSCC.

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)0.003
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0140.002

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 head0.046
GPT teacher head0.370
Teacher spread0.324 · 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 designRandomized trial
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

Citations5
Published2018
Admission routes1
Has abstractyes

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