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Record W2903308035 · doi:10.1016/s0140-6736(18)32984-2

Brentuximab vedotin with chemotherapy for CD30-positive peripheral T-cell lymphoma (ECHELON-2): a global, double-blind, randomised, phase 3 trial

2018· article· en· W2903308035 on OpenAlexaff
Steven M. Horwitz, Owen A. O’Connor, Barbara Pro, Tim Illidge, Michelle A. Fanale, Ranjana H. Advani, Nancy L. Bartlett, Jacob Haaber Christensen, Franck Morschhauser, Eva Domingo‐Doménech, Giuseppe Rossi, Won Seog Kim, Tatyana Feldman, Anne Lennard, David Belada, Árpád Illés, Kensei Tobinai, Kunihiro Tsukasaki, Su‐Peng Yeh, Andrei R. Shustov, Andreas Hüttmann, Kerry J. Savage, Sam Yuen, Swaminathan P. Iyer, Pier Luigi Zinzani, Zhaowei Hua, Meredith Little, Shangbang Rao, Joseph Woolery, Thomas Manley, Lorenz Trümper, David M. Aboulafia, Önder Alpdoğan, Kiyoshi Ando, Luca Arcaini, Luca Baldini, Naresh Bellam, Dina Ben Yehuda, Fabio Benedetti, Peter Borchman, Dominique Bordessoule, Pauline Brice, Javier Briones, Dolores Caballero, Angelo Michele Carella, Hung Chang, June Weon Cheong, Seok‐Goo Cho, Ilseung Choi, Sylvain Choquet, Andrei Coliţă, Angela Giovanna Congui, Francesco d’Amore, Nam H. Dang, Kelly Davison, Sophie de Guibert, Peter de Nully Brown, Vincent Delwail, Judit Demeter, Francesco Di Raimondo, Young Rok, Eva Domingo, Michael G. Douvas, Martin Dreyling, Thomas Ernst, Keith Fay, Silvia Ferrero, Ian W. Flinn, Andres Forero‐Torres, Christopher P. Fox, Jonathan W. Friedberg, Noriko Fukuhara, José A. García‐Marco, Jorge Gayoso Cruz, José Codina, Rémy Gressin, Andrew Grigg, Ronit Gurion, Corinne Haïoun, Roman Hájek, Mathias Hänel, Kiyohiko Hatake, Robert Hensen, Netanel A. Horowitz, Kenichi Ishizawa, Miguel Islas‐Ohlmayer, Eric D. Jacobsen, Murali Janakiram, Wojciech Jurczak, Mark Kaminski, Koji Kato, Ilya Kirgner, Ching‐Yuan Kuo, Mihaela Lazaroiu, Katell Le Dû, Jong Seok Lee, Steven Le Gouill, Paul La Rosée, Itai Levi, Brian K. Link, Hervé Maisonneuve, Dai Maruyama, Jiří Mayer, John M. McCarty, Pam McKay, Yosuke Minami, Heidi Móciková, Enrica Morra, Javier Muñoz, Hirokazu Nagai, Stephen Opat, Ruth Pettengell, Antonio Pezzutto, Michael Pfreundschuh, Andrzej Pluta, Pierluigi Porcu, Hang Quach, Alessandro Rambaldi, William Renwick, Ruben Reyes, Antonia Rodríguez Izquierdo, Jia Ruan, Chiara Rusconi, Gilles Salles, Armando Santoro, Jose E. Sarriera, Hirohiko Shibayama, Cheolwon Suh, Anna Sureda, Mitsune Tanimoto, Masafumi Taniwaki, Hervé Tilly, Marek Trněný, Norifumi Tsukamoto, Umberto Vitolo, Jan Walewski, Eckhart Weidmann, Martin Wilhelm, Mathias Witzens‐Harig, Abdulraheem Yacoub, Kazuhito Yamamoto, Sung-Soo Yoon, Hwan‐Jung Yun, Jasmine Zain

Bibliographic record

VenueThe Lancet · 2018
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsUniversity of British Columbia
FundersNational Cancer InstituteNational Institute for Health and Care Research
KeywordsBrentuximab vedotinMedicineChemotherapyOncologyInternal medicineLymphomaPeripheralCD30Peripheral T-cell lymphomaDouble blindPhases of clinical researchImmunologyPathologyT cellAlternative medicine

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)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0010.002
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 head0.039
GPT teacher head0.338
Teacher spread0.299 · 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

Citations726
Published2018
Admission routes1
Has abstractno

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