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Record W4233817719 · doi:10.1056/nejmoa1602773

Ustekinumab as Induction and Maintenance Therapy for Crohn’s Disease

2016· article· en· W4233817719 on OpenAlexaff
Brian G. Feagan, William J. Sandborn, Christopher Gasink, Yinghua Lang, Joshua R. Friedman, Marion Blank, Jewel Johanns, Long-Long Gao, Miao Ye, Omoniyi J. Adedokun, Bruce E. Sands, Stephen B. Hanauer, Séverine Vermeire, Stephan R. Targan, Subrata Ghosh, Willem J. de Villiers, Jean–Frédéric Colombel, Zsolt Tulassay, Ursula Seidler, Bruce Salzberg, Pierre Desreumaux, Scott D. Lee, Edward V. Loftus, Levinus A. Dieleman, Seymour Katz, Paul Rutgeerts

Bibliographic record

VenueNew England Journal of Medicine · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of AlbertaUniversity of CalgaryRobarts Clinical TrialsWestern University
FundersJanssen Research and DevelopmentMerck Sharp and DohmeUCB PharmaSun PharmaTillotts PharmaAmgenSeres TherapeuticsCelltrionGenentechJanssen Scientific AffairsCelgeneBiogenGilead SciencesDr. Falk PharmaPfizerAstraZenecaEli Lilly and CompanyBristol-Myers Squibb
KeywordsUstekinumabMedicineCrohn's diseaseMaintenance therapyInterleukin 23Monoclonal antibodyMonoclonalDiseaseImmunologyInterleukinInternal medicineAntibodyCytokineChemotherapyAdalimumab

Abstract

fetched live from OpenAlex

Ustekinumab, a monoclonal antibody to the p40 subunit of interleukin-12 and interleukin-23, was evaluated as an intravenous induction therapy in two populations with moderately to severely active Crohn's disease. Ustekinumab was also evaluated as subcutaneous maintenance therapy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.259
Teacher spread0.248 · 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

Citations1,806
Published2016
Admission routes1
Has abstractyes

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