MétaCan
Menu
Back to cohort
Record W2951817901 · doi:10.1016/s0140-6736(19)30764-0

Pexidartinib versus placebo for advanced tenosynovial giant cell tumour (ENLIVEN): a randomised phase 3 trial

2019· article· en· W2951817901 on OpenAlexaff
William D. Tap, Hans Gelderblom, Emanuela Palmerini, Jayesh Desai, Sebastian Bauer, Jean‐Yves Blay, Thierry Alcindor, Kristen N. Ganjoo, Javier Martín‐Broto, Christopher W. Ryan, David M. Thomas, Charles Peterfy, John H. Healey, Michiel A. J. van de Sande, Heather L. Gelhorn, Dale E. Shuster, Qiang Wang, Antoine Yver, Henry H. Hsu, Paul Lin, Sandra Tong-Starksen, Silvia Stacchiotti, Andrew J. Wagner

Bibliographic record

VenueThe Lancet · 2019
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal synovial abnormalities and treatments
Canadian institutionsMcGill University
FundersDaiichi Sankyo EuropeNational Cancer InstituteGenentechDaiichi Sankyo CompanyPlexxikonPharmaMarEli Lilly and CompanyIgnytaNational Institutes of HealthIstituto Ortopedico Rizzoli di BolognaEisaiCelldex TherapeuticsDaiichi-SankyoPfizerIncyteFive Prime TherapeuticsEMD SeronoSociety of Memorial Sloan KetteringKaryopharm TherapeuticsExelixisMemorial Sloan-Kettering Cancer CenterAmgenBristol-Myers SquibbFoundation for the National Institutes of Health
KeywordsMedicinePlaceboClinical endpointEveningInternal medicineSurgerySurrogate endpointClinical trialRandomized controlled trialIntention-to-treat analysisPathology

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)0.001
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: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.002

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 head0.032
GPT teacher head0.323
Teacher spread0.291 · 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

Citations474
Published2019
Admission routes1
Has abstractno

Explore more

Same venueThe LancetSame topicMusculoskeletal synovial abnormalities and treatmentsFrench-language works237,207