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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 OpenAlexaff
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

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.

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.133
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

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 designNon-randomized 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

Citations576
Published2018
Admission routes1
Has abstractno

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