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Record W3170038569 · doi:10.1016/s0140-6736(21)00592-4

Isatuximab, carfilzomib, and dexamethasone in relapsed multiple myeloma (IKEMA): a multicentre, open-label, randomised phase 3 trial

2021· article· en· W3170038569 on OpenAlexaff
Philippe Moreau, Meletios Α. Dimopoulos, Joseph Mıkhael, Kwee Yong, Marcelo Capra, Thierry Façon, Roman Hájek, Ivan Špıčka, Ross Baker, Kihyun Kım, Gracia Martınez, Chang‐Ki Min, Luděk Pour, Xavier Leleu, Albert Oriol, Youngil Koh, Kenshi Suzuki, Marie‐Laure Risse, Gaëlle Asset, Sandrine Macé, Thomas G. Martin, Min Chang‐Ki, Tom Martin, Hang Quach, Andrew Lim, Helen Crowther, Hanlon Sia, Cyrille Hulin, Mohamad Mohty, Gábor Mikala, Zsolt Nagy, Marta Reinoso Segura, Laura Rosiñol, Münci Yağcı, Mehmet Turgut, Mamta Garg, Gurdeep Parmar, Brad Augustson, Nelson Castro, Edvan de Queiroz Crusoé, Tomáš Pika, Sosana Delimpasi, Kenichi Ishizawa, Anup George, Т. С. Константинова, Javier de la Rubia, Kim Sung-Hyun, Ângelo Maiolino, Tony Reiman, Richard LeBlanc, Shigeki Ito, Junji Tanaka, А. С. Лучинин, I. V. Kryuchkova, Joaquín Martínez‐López, Jesse Shustik, Lionel Karlin, Miklós Egyed, Mario Petrini, Michèle Cavo, Michihiro Uchiyama, Hilary Blacklock, Mutlu Arat, James E. Griffin, Hannah Hunter, Tonda Buck, Αchilles Anagnostopoulos, Κωνσταντίνος Κωνσταντόπουλος, Tamás Masszi, Sara Bringhen, Barbara Gamberi, Yawara Kawano, Kim Jin Seok, Hakan Özdoğu, Fahir Özkalemkaş

Bibliographic record

VenueThe Lancet · 2021
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsHotel Dieu Hospital
FundersSanofi GenzymeSanofi
KeywordsCarfilzomibMedicineDexamethasoneMultiple myelomaInternal medicinePopulationOncologyLenalidomide

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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.106
GPT teacher head0.389
Teacher spread0.283 · 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

Citations380
Published2021
Admission routes1
Has abstractno

Explore more

Same venueThe LancetSame topicMultiple Myeloma Research and TreatmentsFrench-language works237,207