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Record W3152988358 · doi:10.1016/s2213-2600(21)00097-7

Mepolizumab for chronic rhinosinusitis with nasal polyps (SYNAPSE): a randomised, double-blind, placebo-controlled, phase 3 trial

2021· letter· en· W3152988358 on OpenAlexaff
Joseph K. Han, Claus Bachert, Wytske J. Fokkens, Martin Desrosiers, Martin Wagenmann, Stella E. Lee, Neil A. Martin, Bhabita Mayer, Steven W. Yancey, Ana R. Sousa, Robert Chan, Claire Hopkins, Cecilia Ahlström Emanuelsson, Ledit Ardusso, Michael B. Armstrong, Philip G. Bardin, Sara Barnes, Miguel Bergna, Christian Betz, Achim G. Beule, James Blotter, Valeriu Bronescu, Matthew Brown, Sean Carrie, Adam Chaker, Hyung‐Ju Cho, Marie-Noëlle Corriveau, Timothy Courville, Mandy Cuevas, Cecelia Damask, Adam S. DeConde, Jaime Del Carpio, María De Salvo, Hun‐Jong Dhong, Stephen R. Durham, Anton Edin, Dale Ehmer, Pedro Elías, Adil Fatakia, Christine B. Franzese, Simon Gane, Gabriel García, Andrew Gillman, Moritz Groeger, Richard J. Harvey, Johan Hellgren, Thomas S. Higgins, Jonathan Hobson, Mattias Jangard, Arif Janjua, Naveed Kara, Sergey Karpischenko, Edward Kerwin, Fatimat Khanova, Shaun Kilty, Changhoon Kim, Seon-Tae Kim, Ludger Klimek, Craig LaForce, Samuel Leong, Bradley Marple, Anders Mårtensson, Jorge Máspero, N. Massey, Jonathan Matz, Chad M. McDuffie, Corina Mella, Steven Miller, Ekaterina Mirzabekyan, Jonathan Moss, Nayla Mumneh, Robert Nathan, Adriana Neagoş, Heidi Olze, A. Yu. Ovchinnikov, Randall A. Ow, Dmitriy Polyakov, Doinel Radeanu, Chae‐Seo Rhee, Ramón Luévanos Rojas, Jeffrey Rosenbloom, Chady Sader, Pablo Sáez Scherbovsky, Guy W. Scadding, Rodney J. Schlosser, Heena Shah-Patel, Ronald Shealy, Ayesha Siddiqi, Stacey L. Silvers, Narinder Singh, Doron D. Sommer, Weily Soong, Leigh J. Sowerby, Peter Spafford, Catalin Stefan, Richard K. Sterling, В. М. Свистушкин, Neetu Talreja, Galina Tarasova, Martha Tarpay, Alberto Tolcachier, Karin Toll, Carolina van Schaik, Luke Webb, H. James Wedner, Luis Wehbe, Soo Whan Kim, Barbara Wollenberg, Simon K. Wright, V. V. Yakusevich, Anahí Yáñez, Yury M. Yarin, David M. Yen, Hyo Yeol Kim

Bibliographic record

VenueThe Lancet Respiratory Medicine · 2021
Typeletter
Languageen
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersAllergy TherapeuticsNovartisGlaxoSmithKline
KeywordsMedicineNasal polypsMepolizumabChronic rhinosinusitisPlaceboDouble blindInternal medicineRandomized controlled trialGastroenterologyAsthmaAlternative medicinePathologyEosinophil

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)0.003
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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
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 integrity0.0040.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.107
GPT teacher head0.370
Teacher spread0.263 · 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

Citations580
Published2021
Admission routes1
Has abstractno

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