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Pembrolizumab plus chemotherapy versus placebo plus chemotherapy for previously untreated locally recurrent inoperable or metastatic triple-negative breast cancer (KEYNOTE-355): a randomised, placebo-controlled, double-blind, phase 3 clinical trial
Javier Cortés, David W. Cescon, Hope S. Rugo, Zbigniew Nowecki, Seock‐Ah Im, Mastura Md Yusof, Carlos Gallardo, Oleg Lipatov, Carlos H. Barrios, Esther Holgado, Hiroji Iwata, Norikazu Masuda, Marco Torregroza Otero, Erhan Gökmen, Sherene Loi, Zifang Guo, Jing Zhao, Gursel Aktan, Vassiliki Karantza, Peter Schmid, F. Vidal Luis, Gomez Abuin Gonzalo, Diego Kaen, Kowalwszyn Ruben, Molina Matias, Varela Mirta, Sally Baron-Hay, Begbie Stephen, Clingan Philip, Loi Sherene, Sabanathan Dhanusha, Andrea Gombos, Donatienne Taylor, Carlos Barrios, Leandro Brust, Costa Fabiano, de Freitas Junior Ruffo, Roberto Hegg, Lacerda Domicio Carvalho, Lissa Fernando Cezar Toniazzi, Rocha Roberto Odebrecht, Scalabrini Neto Antonio Orlando, Silva Felipe, Cescon David, Danielle Charpentier, Xinni Song, Yu Joanne, Alejandro Acevedo, Gallardo Carlos, Salas Claudio, Sanchez Cesar, Eduardo Yañez, Gomez Diaz Alvaro, Sanchez Jesus, Holeckova Petra, Kral Zdenek, Bohuslav Melichar, Katarína Petráková, Prausova Jana, Vesna Glavicic, Jakobsen Erik, Jensen Jeanette, Søren Linnet, Tamás Lörincz, Bonnefoi Herve, Isabelle Desmoulins, Hardy-Bessard Anne-Claire, Luís Teixeira, Blohmer Jens-Uwe, Fasching Peter, Dirk Forstmeyer, Nadia Harbeck, Huober Jens, Kaczerowsky Flores de Sousa Anna, Kurbacher Christian, Sibylle Loibl, Lueftner Diana, Park-Simon Tjoung-Won, Schumann Raquel Von, Pauline Wimberger, Chow Louis, Kwong Ava, Ngan Kai Cheong Roger, Peter Arkosy, Tibor Csőszi, Zsuzsanna Kahán, Landherr László, Mahr Karoly, Gábor Rubovszky, Kelly Catherine, O'Reilly Seamus, Saverio Cinieri, DAlessio Antonietta, Ricevuto Enrico, Tomoyuki Aruga, Takaaki Fujii, Inoue Kenichi, Takashi Ishikawa, Ito Yoshinori, Tsutomu Iwasa, Yoshimasa Kosaka, Matsumoto Koji, Yasuo Miyoshi, Hirofumi Mukai, Seigo Nakamura, Naoki Niikura, Ohtani Shoichiro, Osaki Akihiko, Yasuaki Sagara, Masato Takahashi, Yuko Tanabe, Kenji Tamura, Koichiro Tsugawa, Junichiro Watanabe, Yamamoto Naohito, Yutaka Yamamoto, Teruo Yamauchi, Bustam Anita, M.Y. Mastura, Gomez Villanueva Angel, Juarez Ramiro Alejandro, Martinez Rodriguez Jorge, Morales-Vasquez Flavia, Reyes Contreras Jessica, Beelen Karin, Tjan-Heijnen Vivianne, Porter David, Ewa Chmielowska, Nowakowska-Zajdel Ewa, Nowecki Zbigniew, Radecka Barbara, Joanna Streb, Szczylik Cezary, R. Tarnawski, Zurawski Bogdan, Arkhipov Alexander, Natalia Fadeeva, Meshcheryakov Andrey, Moiseyenko Vladimir, Mukhametshina Guzel, Ahn Jin Hee, Im Seock-Ah, Lee Keun Seok, Park Kwong Hwa, Park Yeon Hee, Bermejo de las Heras Begona, Cortes Javier, Cruz Jurado Josefina, Garcia Saenz Jose, Maria Gion, Zamora Adelantado Esther, Chien-Ting Liu, Mei-Ching Liu, Chiun‐Sheng Huang, Tsao Chao-Jung, Ling-Ming Tseng, Çağatay Arslan, Basaran Gul, İrfan Çiçin, Erhan Gokmen, Molinas Mandel Nil, Özgüroğlu Mustafa, Ozyilkan Ozgur, Sinan Yavuz, C. R. Williams Steve, Graham Janine, MacPherson Iain, Schmid Peter, Turner Nicholas, Tuthill Mark, Twelves Christopher, W Duncan, Hryhoriy Adamchuk, Oleksandr Berzoy, Bondarenko Igor, Kolesnik Oleksii, O. Kolesnik, Komisarenko Hanna, Leshchenko Iurii, Nasonova Alla, Otchenash Natalya, Ponomarova Olga, Rusyn Andrii, Sergii Shevnya, Yaroslav Shparyk, Dmytro Trukhin, Grygorii Ursol, Vynnychenko Ihor, Sibel Blau, Madhu Chaudhry, Michael Chung, C. Patrick, C. Scott, Jennifer R. Diamond, Hargis Jeffrey, Irvin William, Randa Loutfi, Lu Janice, Mena Raul, Moore Susan, Rita Nanda, Ira Oliff, Omene Coral, Panella Timothy, Panwalkar Amit, Brian J. Patson, Hope Rugo, Irina Rybalova, Schleider Michael, Siegel Robert, Simon Michael, Stampleman Laura, Sumrall Bradley, Tsai Michaela, Frances Valdes-Albini
Bibliographic record
VenueThe Lancet · 2020
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineCarboplatinGemcitabineInternal medicinePembrolizumabTriple-negative breast cancerBreast cancerOncologyChemotherapyDocetaxelMetastatic breast cancerPlaceboTaxaneCancerPathologyCisplatinImmunotherapy
Abstract
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 imitationNot 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 score0.010
Threshold uncertainty score0.034
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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 head0.138
GPT teacher head0.414
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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
Citations1,800
Published2020
Admission routes1
Has abstractno