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Record W2945852816 · doi:10.1016/s1470-2045(19)30152-4

Pomalidomide, bortezomib, and dexamethasone for patients with relapsed or refractory multiple myeloma previously treated with lenalidomide (OPTIMISMM): a randomised, open-label, phase 3 trial

2019· article· en· W2945852816 on OpenAlexaff
Paul G. Richardson, Albert Oriol, Meral Beksaç, Anna Marina Liberati, Mónica Galli, Fredrik Schjesvold, Jindriska Lindsay, Katja Weisel, Darrell White, Thierry Façon, Jesús F. San Miguel, Kazutaka Sunami, Peter O’Gorman, Pieter Sonneveld, Paweł Robak, С. В. Семочкин, Steve Schey, Xin Yu, Thomas Doerr, Amine Bensmaine, Tsvetan Biyukov, Teresa Peluso, Mohamed H. Zaki, Kenneth Anderson, Meletios Α. Dimopoulos, Niels Abildgaard, Howard L. Adler, Fevzi Altuntaş, Olga Meltem Akay, Bipinkumar Amin, Larry D. Anderson, Pekka Anttila, Carla Araujo, Carlos Arce‐Lara, Yıldız Aydın, Supratik Basu, Ramakrishna Battini, Thaddeus Beeker, Lotfi Benboubker, Dina Ben‐Yehuda, Joan Bladé, Igor Wolfgang Blau, Ralph V. Boccia, Lillian Burke, Peter D. Byeff, Nicola Cascavilla, Michèle Cavo, Andrew Chantry, Yen Charles, Arvind Chaudhry, Alessandro Corso, Mark Coyne, Felipe de Arriba, Sosana Delimpasi, Binod Dhakal, Paolo Di Bartolomeo, Francesco Di Raimondo, Jan Dürig, Monika Engelhardt, Martine Escoffre‐Barbe, Graça Esteves, Max Flogegård, Nashat Gabrail, Barbara Gamberi, Mitchell Garrison, Julie Gay, Heinz Gisslinger, Hartmut Goldschmidt, Cristina Gonçalves, Laurent Gressot, Sebastian Grosicki, Wahid T. Hanna, Patrick Hayden, Maria Manuela Henriques Bernardo, Róbert Hermann, Viran Holden, Kirsti Honkalehto, Marianne Huben, John Huffman, Hannah Hunter, Marek Hus, Madan Jagasia, Sundar Jagganath, Murali Janakiram, Ishmael Jaiyesimi, Matthew Jenner, Cristina João, Peter Johnson, Artur Jurcyszyn, Sevgi Kalayoğlu Beşışık, Suman Kambhampati, Abraham S. Kanate, Ìhsan Karadoǧan, Ali Khojasteh, Dean Kirkel, Mieczysław Komarnicki, Maria‐Theresa Krauth, Phillip Kuriakose, Alessandra Larocca, Birgitta Lauri, Xavier Leleu, Paulo Lúcio, Mario Luppi, Silvia Mangiacavalli, Clara Mariette, Kosei Matsue, Ulf-Henri Mellqvist, Л. П. Менделеева, Michael W. Meshad, Carole B. Miller, Ann Mohrbacher, Philippe Moreau, Anna Morelli, Ercan Müldür, Anthony E. Naassan, Hareth Nahi, Rajesh Nair, Mike O'Dwyer, Şeniz Öngören Aydın, Thomas H. Openshaw, Timothy J. O’Rourke, Michael B. Osswald, Lindsay Overton, Asmin Pati, Michel Pavic, Brigitte Pegourié, Mustafa Pehlıvan, Ana Alfonso Piérola, Torben Plesner, Andrzej Pluta, Neil Rabin, Karthik Ramasamy, Alessandro Rambaldi, Paula Rodríguez, Christoph Röllig, Jacalyn Rosenblatt, Jonathan Z Rosenbluth, Morten Salomo, Olga Samoylova, Jose Sastre Moral, Hamdi Sati, Carmine Selleri, Salim Shafeek, Atsushi Shinagawa, Bethany Sleckman, Clayton A. Smith, Mehmet Sönmez, Chester Stone, Matthew Streetly, Kenshi Suzuki, Raymond Taetle, Agostino Tafuri, Naoki Takezako, Hava Üsküdar Teke, Mirja Vapaatalo, George Vassilopoulos, Amit Verma, Sarah Vidito, Luísa Viterbo, Filiz Vural, Xiang Wang, Münci Yağcı, Andrew J. Yee

Bibliographic record

VenueThe Lancet Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsQueen Elizabeth II Health Sciences CentreDalhousie University
FundersCelgene
KeywordsPomalidomideLenalidomideDexamethasoneBortezomibMedicineRefractory (planetary science)Multiple myelomaOpen labelOncologyInternal medicineThalidomideRandomized controlled trialBiology

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 score0.006
Threshold uncertainty score0.021

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 studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.079
GPT teacher head0.383
Teacher spread0.304 · 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

Citations385
Published2019
Admission routes1
Has abstractno

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