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Record W4389752878 · doi:10.1016/s2468-1253(23)00318-7

Efficacy and safety of 48 weeks of guselkumab for patients with Crohn's disease: maintenance results from the phase 2, randomised, double-blind GALAXI-1 trial

2023· article· en· W4389752878 on OpenAlexaff
Silvio Danese, Remo Panaccione, Brian G. Feagan, Anita Afzali, David T. Rubin, Bruce E. Sands, Walter Reinisch, Julián Panés, Aparna Sahoo, Natalie A. Terry, Daphne Chan, Chenglong Han, Mary Ellen Frustaci, Zijiang Yang, William J. Sandborn, Tadakazu Hisamatsu, Jane M. Andrews, Geert D’Haens, Oleksandr Oliinyk, Leonid Bilіanskyi, Jadwiga Gniady-Jastrzebska, Robert Petryka, Tomasz Arłukowicz, Piotr Gietka, Marcin Zmudziński, Syed Mumtaz, Douglas C. Wolf, Katarzyna Wójcik‐Pszczoła, George Duvall, Monika Augustyn, Rafał Filip, Dino Tarabar, Tkachev Av, Ursula Seidler, Eran Zittan, Juris Pokrotnieks, О. Б. Щукина, Andro Machavariani, Laura Loy, Niazy Abu-farsakh, Pesegova Marina, Slobodan Srećković, Martin Laclav, Shu‐Chen Wei, Daniel R. Suiter, A Borsuk, Xavier Hébuterne, Carsten Büning, Adi Lahat-Zok, Wit Danilkiewicz, Bernadetta Frysna, Ivana Jovicic, Olena Datsenko, Maninder Guram, Animesh Jain, Zahid Rashid, Sonja Heeren, Natallia Shulga, Ivan Timkin, Srdjan Gornjakovic, Milan Lukáš, Romain Altwegg, Ariadne Desjeux, Jean‐Marie Reimund, Manana Giorgadze, Christoph Jochum, Hiroaki Ito, Katsuhiko Nakai, Tomohisa Takagi, Osamu Zaha, Chang‐Hwan Choi, Taeoh Kim, Jong Hun Lee, Ieva Stundienė, Ida Hilmi, Rosaida Hj Md Said, Jarosław Leszczyszyn, Д. И. Абдулганиева, Yu. A. Fominykh, Svetlana V Maksyashina, Jozef Baláž, Manuel Van Domselaar, Taylan Kav, Patrick Dennis, Patricia Henry, Robert Holmes, Christopher M. Johnson, Matthew J. McBride, H Sarles, Gregory Moore, R. E. Yakubtsevich, Vinciane Muls, Stevan Trbojević, Waqqas Afif, Çharles N. Bernstein, Ivo Klarin, Zuzana Šerclová, Miroslava Volfová, Pierre Desreumaux, Xavier Roblin, Lucine Vuitton, Kakhaber Chelidze, Tanja Kuehbacher, Ioannis E. Κoutroubakis, Michele Cicala, Walter Fries, Antonio Gasbarrini, Nobuo Aoyama, Yoshito Hayashi, Fumihito Hirai, Norkiyuki Horiki, Namiko Hoshi, Tomoki Inaba, Ishida Hiroyasu, Atsuo Maemoto, Takayuki Matsumoto, Kayoko Matsushima, Satoshi Motoya, Masaki Taruishi, Mohammed Rashid, Jaeyoung Chun, Young‐Ho Kim, Dong Il Park, Ala I. Sharara, Laimas Virginijus Jonaitis, Gjorgi Deriban, James Brooker, Beata Gawdis-Wojnarska, Barbara Woźniak−Stolarska, П. С. Андреев, В. И. Симаненков, В. И. Трофимов, Igor Jovanović, Nataša Zdravković, Xavier Aldeguer i Mante, Hale Akpınar, Gürkan Çelebi, Hülya Över Hamzaoğlu, J. C. Fernández, Jayaprakash Kamath, Nicole Palekar, Jatinder Pruthi, David Rausher, Timothy E. Ritter

Bibliographic record

Venue˜The œLancet. Gastroenterology & hepatology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsWestern UniversityUniversity of Calgary
FundersJanssen Scientific AffairsGenentechCelgeneAmgenPfizerEli Lilly and CompanyBristol-Myers Squibb
KeywordsCrohn's diseaseMedicineDiseaseInternal medicinePhase (matter)Double blindMaintenance therapyPhysical therapySurgeryPediatricsAlternative medicinePlaceboPathologyChemotherapy

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)0.002
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 score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
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 head0.017
GPT teacher head0.268
Teacher spread0.251 · 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

Citations70
Published2023
Admission routes1
Has abstractno

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