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Record W2956888684 · doi:10.1016/s2352-3026(19)30109-7

Pembrolizumab plus lenalidomide and dexamethasone for patients with treatment-naive multiple myeloma (KEYNOTE-185): a randomised, open-label, phase 3 trial

2019· article· en· W2956888684 on OpenAlexaff
Fredrik Schjesvold, Albert Oriol, Lionel Karlin, Michèle Cavo, Robert M. Rifkin, Habte Yimer, Richard LeBlanc, Naoki Takezako, Robert McCroskey, Andrew Lim, Kenshi Suzuki, Hiroshi Kosugi, George Grigoriadis, Irit Avivi, Thierry Façon, Sundar Jagannath, Sagar Lonial, Razi Ghori, Mohammed Z.H. Farooqui, Patricia Marinello, Jesús F. San Miguel, Trish Walker, Andrew J. Nicol, Donna Reece, Mohamed Elemary, Jean Samuel Boudreault Pedneault, Michel Attal, Katja Weisel, Monika Engelhardt, Andréas Mackensen, John Quinn, Amos Cohen, Hila Magen‐Nativ, Noam Benyamini, Alessandra Larocca, Morio Matsumoto, Shinsuke Iida, Takayuki Ishikawa, Yukio Kondo, Kazutaka Sunami, Kiyoshi Ando, Takanori Teshima, Takaaki Chou, Hiromi Iwasaki, Hirokazu Miki, Itaru Matsumura, Yasushi Onishi, Koji Izutsu, Masahiro Kizaki, Anupkumar George, Hillary Blacklock, David Simpson, Anders Waage, Olga Samoilova, Evgeniy Nikitin, Tatiana Chagorova, Andrew M. McDonald, Moosa Patel, Jesus San Miguel Izquierdo, María‐Victoria Mateos, Matthew Streetly, Peter Forsyth, Graham Jackson, Stephen J. Jenkins, Danko Martincic, Stefano Tarantolo, Sarah Larson, Yacoub Faroun, Jennifer Vaughn, Rachid Baz, Gene Saylors, Amarendra Neppalli, Anastasios Raptis, Henry C. Fung, Maxwell Janosky, Don A. Stevens, Morton Coleman, Dennis Costa, Scott Cross, Suzanne Fanning, Daniel Farray Berges, Thomas M. Harris, Ira Zackon, Djordje Atanackovic, Kelvin Lee, Ira Oliff, Wes Lee, William Bensinger, Jose Lutzky, Ari David Baron, Fadi Hayek, Eli Kirschner, Neeraj Bharany, Lindsay Overton, Siva Mannem, Allyson Harroff, Sharad Jain, Tammy Roque, Kristi McIntyre, Christopher K Yasencha, William Houck

Bibliographic record

VenueThe Lancet Haematology · 2019
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
FundersMerck Sharp and Dohme
KeywordsMedicineLenalidomideDexamethasoneMultiple myelomaClinical endpointInternal medicineInterim analysisPembrolizumabAdverse effectClinical trialOncologySurgeryCancerImmunotherapy

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)0.002
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 score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.002

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 head0.076
GPT teacher head0.373
Teacher spread0.297 · 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

Citations242
Published2019
Admission routes1
Has abstractno

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