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Record W2791290180 · doi:10.1016/s1470-2045(18)30144-x

Durvalumab as third-line or later treatment for advanced non-small-cell lung cancer (ATLANTIC): an open-label, single-arm, phase 2 study

2018· article· en· W2791290180 on OpenAlex
Marina Chiara Garassino, Byoung Chul Cho, Joo-Hang Kim, Julien Mazières, Johan Vansteenkiste, H. Léna, Jesus Corral Jaime, John D. Powderly, C. Chouaïd, Paolo Bidoli, Paul Wheatley‐Price, Keunchil Park, Ross A. Soo, Yifan Huang, Catherine Wadsworth, Phillip A. Dennis, Naiyer A. Rizvi, Luis Paz-Ares Rodríguez, Silvia Novello, Sandrine Hiret, Peter Schmid, Eckart Laack, Raffaele Califano, Makoto Maemondo, Sang‐We Kim, Jamie E. Chaft, David Vicente Baz, Thierry Berghmans, Dong‐Wan Kim, Veerle Surmont, Martin Reck, Ji‐Youn Han, Esther Holgado Martin, Cristóbal Belda-Iniesta, Yuichiro Oe, Antonio Chella, Akhil Chopra, G. Robinet, Héctor Soto Parrà, Michael J. Thomas, Parneet Cheema, Nobuyuki Katakami, Wu‐Chou Su, Young‐Chul Kim, Juergen Wolf, Jong-Seok Lee, Hideo Saka, Michele Stanislaw Milella, Inmaculada Ramos García, Anne Sibille, Takashi Yokoi, Eun Joo Kang, Shinji Atagi, E. Spaeth-Schwalbe, Makoto Nishio, Fumio Imamura, Nashat Gabrail, Rémi Veillon, Sofie Derijcke, Tadashi Maeda, Dylan M. Zylla, Kendra Kubiak, Armando Santoro, Ma. Noemi Uy, Sarayut Lucien Geater, Antoîne Italiano, Dariusz M. Kowalski, Fabrice Barlési, Yuh‐Min Chen, David R. Spigel, Busyamas Chewaskulyong, Ramón García Gómez, Rosa Álvarez, Te‐Chun Hsia, Fabrice Denis, Hiroshi Sakai, Mark Vincent, Kōichi Goto, Joaquim Bosch‐Barrera, Glen J. Weiss, Jean-Luc Canon, Christian W. Scholz, Massimo Aglietta, Hirotsugu Kemmotsu, Koichi Azuma, Penelope A. Bradbury, Ronald Feld, Abraham Chachoua, Jacek Jassem, Rosalyn A. Juergens, Albert Malcolm, Nandagopal Vrindavanam, Kaoru Kubota, Cornelius F. Waller, David Waterhouse, Bruno Coudert, Z. Mark, Miyako Satouchi, Gee‐Chen Chang, Christian Herzmann, Arvind Chaudhry, Selvaraj Giridharan, Paul J. Hesketh, Norihiko Ikeda, Ralph V. Boccia, Nichola Iannotti, Missak Haigentz, John A. Reynolds, J. Marruecos Querol, Kazuhiko Nakagawa, Shunichi Sugawara, Eng Huat Tan, Tomonori Hirashima, Scott Gettinger, Terufumi Kato, Koji Takeda, Óscar Juan, Andrea Mohn-Staudner, Amit Panwalkar, Davey B. Daniel, Kunihiko Kobayashi, Guia Elena Imelda Ladrera, Clemens Schulte, Martin Sebastian, Markéta Černovská, Helena Čoupková, Libor Havel, Norbert Pauk, Joginder Singh, Shuji Murakami, Tibor Csőszi, György Losonczy, Allan Price, Ian C. Anderson, Mussawar Iqbal, Erzsébet Juhász, Saleem Khanani, Leona Koubková, Benjamin Levy, Ray D. Page, Csaba Böcskei, Lucio Crinò, David Einspahr, Christopher Hagenstad, Necy S Juat, Lindsay Overton, Mitchell Garrison, Zsuzsanna Szalai

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Lancet Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersNational Cancer InstituteKite PharmaEMD SeronoMacroGenicsSanofiGlaxoSmithKlineAmgenPfizerGenentechAstraZenecaEli Lilly and CompanyBristol-Myers Squibb
KeywordsDurvalumabMedicineInternal medicineOncologyLung cancerAnaplastic lymphoma kinaseResponse Evaluation Criteria in Solid TumorsCohortProgressive diseaseCancerNivolumabAnaplastic large-cell lymphomaImmunotherapyChemotherapyLymphomaMalignant pleural effusion

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.885

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.133
GPT teacher head0.452
Teacher spread0.320 · 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