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Record W4415297453 · doi:10.1016/s0140-6736(25)01897-5

Durvalumab in combination with BCG for BCG-naive, high-risk, non-muscle-invasive bladder cancer (POTOMAC): final analysis of a randomised, open-label, phase 3 trial

2025· article· en· W4415297453 on OpenAlexaff
Maria De Santis, Joan Palou Redorta, Hiroyuki Nishiyama, Michał Krawczyński, Artur Seyitkuliev, A. M. Novikov, Félix Guerrero‐Ramos, Р. А. Зуков, Minoru Katō, Takashi Kawahara, Lieven Goeman, Javier Puente, Eva Hellmis, Thomas Powles, Piotr Radziszewski, Kilian M. Gust, P. Vasey, Pierre Bigot, Yves Fradet, Jarmo C. B. Hunting, J. Armstrong, Suliman Boulos, Stephan Hois, Neal D. Shore, Paul Anderson, Daniel Brungs, Ian D. Davis, Amanda Glasgow, Carole A. Harris, Phillip Parente, Manish Patel, Ian Vela, Robert Zielinski, Johannes W. Buchegger, W. Horninger, Georg C. Hutterer, Wolfgang Loidl, Ferdinand Luger, Lukas Lusuardi, Renate Pichler, Filip Ameye, Steven Joniau, Thierry Roumeguère, Jason Izard, Girish S. Kulkarni, Jean-Benoit Paradis, Fred Saad, Abdel Rahmene Azzouzi, Philippe Barthélémy, Marc Colombel, J. Deturmeny, Thierry Lebrét, G. Robert, Fabien Saint, Delphine Topart, Martin Bögemann, Jozefina Casuscelli, Susan Feyerabend, M. Garcia-Schürmann, Gencay Hatiboglu, Axel Hegele, Christian Keil, Jörg Klier, Thomas Pulte, Lars Pursche, Bernd J. Schmitz‐Dräger, Viktoria Schütz, Philipp Spiegelhalder, E. Stagge, Georgi Tosev, Christoph von Klot, Gaku Arai, Kensuke Bekku, Toshiki Etani, Katsuyoshi Hashine, Junichi Inokuchi, Koji Izumi, Kouji Izumi, Toshiyuki Kamoto, Shuya Kandori, Noriyasu Kawai, Eiji Kikuchi, Tomokazu Kimura, Hiroshi Kitamura, Yasuyuki Kobayashi, Yukihiro Kondo, Naoya Masumori, Tomohiro Matsuo, Yasuyoshi Miyata, Ryuichi Mizuno, Shoichiro Mukai, Jun Mutaguchi, Taku Naiki, Kazuo Nishimura, Chikara Οhyama, Teppei Okamoto, Kazutaka Saito, Hideki Sakai, Atsushi Takamoto, Satoshi Tamada, Nobuyuki Tanaka, Junji Yonese, Kazuhiro Yoshimura, Theo de Reijke, Jorg R. Oddens, Hans M. Westgeest, Tomasz Demkow, Magdalena Korozan, Robert Kozłowski, Mariusz Kwiatkowski, Michał Masłowski, Urszula Sadowska, Krzysztof Tupikowski, Renata Zaucha, Romuald Zdrojowy, Vagif Atduev, O. B. Karyakin, Nikolay Kislov, Evgeny Kopyltsov, B. K. Komyakov, И. Н. Орлов, Andrey Semenov, Alexey Severtsev, R. V. Smirnov, Т. М. Топузов, Aleksandr Vasiliev, Mario Álvarez‐Maestro, António García de Alcaraz, E. Almagro-Casado, Teresa Bonfill, C. Caballero Díaz, Juan Ignacio Delgado Mingorance, C. González Cáliz, Bernardo Herrera‐Imbroda, Miguel Hevia Suáre, José Luis Moyano Calvo, J.I. Pascual Piédrola, Carles Xavier Raventos Busquets, Javier Rico López, Óscar Rodríguez-Faba, Marcos Torres Roca, F.J. Vazquez Mazon, Juan Virizuela Echaburu, James Douglas, Deborah Enting, Robert Jones, Mark Linch, Hugh Mostafid, Aidan P. Noon, Keval Patel, Prashant Patel, Matthew Sephton, Mohini Varughese

Bibliographic record

VenueThe Lancet · 2025
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsUniversité LavalCentre hospitalier de l'Université LavalCentre hospitalier universitaire de Québec
FundersAstraZeneca
KeywordsDurvalumabBladder cancerBCG vaccinePhase (matter)Phases of clinical research

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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
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)0.0050.001

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 head0.376
Teacher spread0.323 · 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

Citations47
Published2025
Admission routes1
Has abstractno

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