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Record W4397007234 · doi:10.1016/j.esmoop.2024.103146

159TiP TROPION-Breast04: Phase (ph) III study of neoadjuvant (neoadj) datopotamab deruxtecan (Dato-DXd) + durvalumab (D) followed by adjuvant (adj) D vs standard of care (SoC) in treatment-naïve, triple-negative (TN) and HR-low/HER2- breast cancer (BC)

2024· article· en· W4397007234 on OpenAlexaffabout
Sibylle Loibl, S.M. Tolaney, P. Schmid, Barbara Pistilli, Rebecca Dent, Jamil Asselah, Q. Liu, Jane Meisel, Naoki Niikura, Y.H. Park, G. Werutsky, Giampaolo Bianchini, J.C. Andersen, R. Kozarski, N. Rokutanda, Heather L. McArthur

Bibliographic record

VenueESMO Open · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsDurvalumabMedicineInternal medicineStandard of careAdjuvantOncologyCancerImmunotherapyNivolumab

Abstract

fetched live from OpenAlex

SoC for patients (pts) with treatment-naïve, Stage II–III TNBC is neoadj pembrolizumab (pembro) + chemotherapy (CT) followed by surgery and adj pembro. However, there remains an unmet need to develop a treatment approach to improve pathological complete response (pCR) rates and long-term survival while reducing traditional CT-associated toxicity. Dato-DXd comprises a humanised, anti-TROP2 IgG1 monoclonal antibody conjugated to a potent topoisomerase I inhibitor via a plasma-stable, tetrapeptide-based, tumour-selective cleavable linker.

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: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.010
GPT teacher head0.314
Teacher spread0.304 · 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
Published2024
Admission routes2
Has abstractyes

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