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Record W2749747068 · doi:10.1016/s1470-2045(17)30517-x

Rindopepimut with temozolomide for patients with newly diagnosed, EGFRvIII-expressing glioblastoma (ACT IV): a randomised, double-blind, international phase 3 trial

2017· article· en· W2749747068 on OpenAlexaff
Michael Weller, Nicholas Butowski, David Tran, Lawrence D. Recht, Michael Lim, Hal W. Hirte, Lynn S. Ashby, Laszlo Mechtler, Samuel Goldlust, Fábio M. Iwamoto, Jan Drappatz, Donald M. O’Rourke, Mark Wong, Mark G. Hamilton, Gaetano Finocchiaro, James Perry, Wolfgang Wick, Jennifer Green, Yi He, Christopher D. Turner, Michael Yellin, Tibor Keler, Thomas A. Davis, Roger Stupp, John H. Sampson, Jian Campian, Kevin Becker, Gene H. Barnett, Garth Nicholas, Annick Desjardins, Tara Benkers, Naveed Wagle, Morris D. Groves, Santosh Kesari, Zsolt Horváth, Ryan Merrell, Richard Curry, James O’Rourke, David M. Schuster, Maciej M. Mrugała, Randy Jensen, John Trusheim, Glenn J. Lesser, Karl Bélanger, Andrew E. Sloan, Benjamin Purow, Karen Fink, Jeffrey J. Raizer, Michael Schulder, Suresh Nair, Scott Peak, Alba A. Brandes, Nimish Mohile, Joseph Landolfi, Jon Olson, Ross Jennens, Paul DeSouza, Bridget A. Robinson, Marka R. Crittenden, Kent C. Shih, Alexandra Flowers, Shirley Ong, Jennifer Connelly, Costas G. Hadjipanayis, Pierre Giglio, Frank E. Mott, David Mathieu, N. Lessard, Sanchez Juan Sepulveda, József Lövey, Helen Wheeler, Po-Ling Inglis, Claire Hardie, Daniela A. Bota, Maciej S. Lesniak, Jana Portnow, Bruce Frankel, Larry Junck, Reid C. Thompson, Lawrence Berk, John Paul McGhie, David Macdonald, Frank Saran, Riccardo Soffietti, Deborah T. Blumenthal, Sá Barreto Costa Marcos André de, Anna K. Nowak, Nimit Singhal, Andreas F. Hottinger, Andrea Schmid, Gordan Srkalović, David S. Baskin, Camilo E. Fadul, Burt Nabors, Renato V. LaRocca, John L. Villano, Nina A. Paleologos, Petr Kavan, Marshall Pitz, Brian Thiessen, Ahmed Idbaïh, Jean‐Sébastien Frenel, Julien Dômont, Oliver Grauer, Peter Hau, Christine Marosi, Jan Šroubek, Elizabeth Hovey, P.S. Sridhar, Lawrence Cher, Erin Dunbar, Thomas Coyle, Jane M. Raymond, Kevin Barton, Michael J. Guarino, Sumul Raval, Baldassarre Stea, J. Richard Dietrich, Kirsten Hopkins, Sara Erridge, Joachim-Peter Steinbach, Losada Estela Pineda, Barco Berron Sonia del, M. Wenczl, Katalin Molnár, Katalin Hidéghety, Alexander Lossos, Linde Myra van, Ana Levy, Rosemary Harrup, William P. Patterson, Zarnie Lwin, Sith Sathornsumetee, E-Jian Lee, Jih-Tsun Ho, Steven Emmons, J. Paul Duic, Spencer H. Shao, Hani Ashamalla, Michael Weaver, Jose Lutzky, Nicholas G. Avgeropoulos, Wahid T. Hanna, Mukund Nadipuram, G Cecchi, Robert D. O’Donnell, Susan C. Pannullo, Jennifer Carney, Mark Hamilton, Mary MacNeil, R. P. Beaney, Michel Fabbro, Oliver Schnell, Rainer Fietkau, Guenther Stockhammer, Běla Malinová, Karel Odrážka, Martin Sameš, Gil Miguel Gil, E. Razis, Konstantin Lavrenkov, Guillermo Castro, Francisco Ramirez, Clarissa Baldotto, Fabiana Viola, Suzana Mária Fleury Malheiros, Jason D. Lickliter, Stanislaw J. Gauden, Arunee Dechaphunkul, Iyavut Thaipisuttikul, Ziad Thotathil, Hsin‐I Ma, Wen-Yu Cheng, Chin-Hong Chang, Fernando Palacios Salas, Pierre‐Yves Dietrich, Christoph Mamot, Lakshmi Nayak, Shona Nag

Bibliographic record

VenueThe Lancet Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsHealth Sciences CentreFoothills Medical CentreUniversity of CalgarySunnybrook Health Science CentreJuravinski Cancer Centre
FundersCelldex Therapeutics
KeywordsTemozolomideMedicineInternal medicineClinical endpointOncologyProgression-free survivalPhases of clinical researchClinical trialChemotherapySurgery

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)0.001
metaresearch head score (Gemma)0.001
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.053
GPT teacher head0.372
Teacher spread0.319 · 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

Citations1,113
Published2017
Admission routes1
Has abstractno

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