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Record W2903493423 · doi:10.1016/s0140-6736(18)31999-8

Pembrolizumab versus methotrexate, docetaxel, or cetuximab for recurrent or metastatic head-and-neck squamous cell carcinoma (KEYNOTE-040): a randomised, open-label, phase 3 study

2018· article· en· W2903493423 on OpenAlexaff
Ezra E.W. Cohen, Denis Soulières, Christophe Le Tourneau, José Dinis, Lisa Licitra, Myung‐Ju Ahn, Ainara Soria, Jean‐Pascal Machiels, Nicolas Mach, Ranee Mehra, Barbara Burtness, Pingye Zhang, Jonathan D. Cheng, Ramona F. Swaby, Kevin J. Harrington, Mirelis Acosta-Rivera, Douglas R. Adkins, Morteza Aghmesheh, Mario Airoldi, Eduardas Aleknavičius, Yousuf Al-Farhat, Alain P. Algazi, Salah Almokadem, Anna Alyasova, Jessica R. Bauman, Marco Benasso, Alfonso Berrocal, Victoria Bray, Francesco Caponigro, Terrence P. Cescon, Kelvin Chan, Arvind Chaudhry, Bruno Chauffert, Tibor Csőszi, Jan Paul de Boer, Jean‐Pierre Delord, Andreas Dietz, Charlotte Dupuis, Laurence Digue, József Erfán, Mererid Evans, Mary J. Fidler, Martin Förster, Signe Friesland, Apar Kishor Ganti, Lionnel Geoffrois, Clíona Grant, Viktor Gruenwald, Thomas K. Hoffmann, Geza Horvai, Arturas Inčiūra, Raymond Woo-Jun Jang, Petra Jankowska, Antonio Jimeno, Alejandro Juárez Ramiro, Bogusława Karaszewska, Andrzej Kawecki, Ulrich Keilholz, Ulrich Keller, Sung‐Bae Kim, Judit Kocsis, Nuria Kotecki, Mark Kozloff, J. Lambea, László Landherr, Yuri Lantsukhay, Sergey Lazarev, Lip Way Lee, Igor Lifirenko, Danko Martincic, О. В. Маторин, Margaret McGrath, Krzysztof Misiukiewicz, John C. Morris, Ф. Ф. Муфазалов, Jiaxin Niu, Devraj Srinivasan, Pedro Pérez Segura, Daniel Rauch, Maria Leonor Ribeiro, Cristina P. Rodriguez, Frédéric Rolland, Antonio Russo, Ágnes Ruzsa, Frederico Sanches, Sangwon Shin, Mikhail Shtiveland, Pol Specenier, Éva Szekanecz, Judit Szota, Carla M.L. van Herpen, Hector A. Velez-Cortes, Stefan Wilop, Marek Z. Wojtukiewicz, Deborah Jean Lee Wong, Dan P. Zandberg

Bibliographic record

VenueThe Lancet · 2018
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersMerck Sharp and DohmeNational Institute for Health and Care Research
KeywordsCetuximabMedicineDocetaxelPembrolizumabOncologyOpen labelInternal medicineHead and neckMethotrexateHead and neck squamous-cell carcinomaHead and neck cancerPhases of clinical researchChemotherapyRandomized controlled trialSurgeryRadiation therapyCancerImmunotherapy

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
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 score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.002

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 head0.184
GPT teacher head0.434
Teacher spread0.249 · 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

Citations1,697
Published2018
Admission routes1
Has abstractno

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