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Record W4376613834 · doi:10.1016/j.esmoop.2023.101571

LBA1 Final analysis of the placebo-controlled randomised phase III IMpassion031 trial evaluating neoadjuvant atezolizumab (atezo) plus chemotherapy (CT) followed by open-label adjuvant atezo in patients (pts) with early-stage triple-negative breast cancer (eTNBC)

2023· article· en· W4376613834 on OpenAlexaff
C.H. Barrios, Nadia Harbeck, H.A. Zhang, Shigehira Saji, Ki‐Hong Jung, Roberto Hegg, Andreas Koehler, Joohyuk Sohn, Hiroji Iwata, ML Telli, J-F. Boileau, Kevin Punie, M. Dieterich, Zoe J. Assaf, Tao Xu, M. Liste Hermoso, E. Shearer-Kang, Luciana Molinero, S.Y. Chui, EA Mittendorf

Bibliographic record

VenueESMO Open · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsRoche (Canada)McGill UniversityJewish General Hospital
FundersF. Hoffmann-La RocheEisaiSanofiDaiichi-SankyoPfizerAstraZenecaDaiichi Sankyo EuropeEli Lilly and Company
KeywordsMedicineAtezolizumabInternal medicineCyclophosphamideOncologyAdjuvantNeoadjuvant therapyCapecitabinePlaceboPopulationBreast cancerGastroenterologySurgeryChemotherapyCancerImmunotherapyPathologyPembrolizumab

Abstract

fetched live from OpenAlex

IMpassion031 met its primary objective, significantly improving pathological complete response (pCR) rate with atezo added to neoadjuvant CT in pts with eTNBC (58% vs 41% with CT alone in the intent-to-treat [ITT] population; 17% difference, 1-sided p=0.0044) [Mittendorf 2020]. Benefit from atezo was seen regardless of PD-L1 status.

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)0.003
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 score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
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 head0.033
GPT teacher head0.360
Teacher spread0.327 · 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

Citations25
Published2023
Admission routes1
Has abstractyes

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