MétaCan
Menu
Back to cohort
Record W2898183703 · doi:10.1093/annonc/mdy285.160

Long-term tolerability of olaparib tablets as maintenance therapy for platinum-sensitive relapsed ovarian cancer (PSR OC): Phase III SOLO2 trial

2018· article· en· W2898183703 on OpenAlexaff
Jacob Korach, Gilles Freyer, Susana Banerjee, Rebecca Asher, Jonathan A. Cosin, Amit M. Oza, Andrés Poveda, Marilena Di Napoli, Clare L. Scott, M. Lapresa, Florian Heitz, Kazuhiro Takehara, Gabe S. Sonke, S. Tjulandin, Ji‐Hoon Kim, Roberto Hegg, Ignace Vergote, Simon Turner, Éric Pujade-Lauraine

Bibliographic record

VenueAnnals of Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsPrincess Margaret Cancer Centre
FundersOncoMed Pharmaceutical
KeywordsOlaparibMedicineTolerabilityInternal medicineAdverse effectNauseaPARP inhibitorPlaceboVomitingOncologyGastroenterologySurgeryPathology

Abstract

fetched live from OpenAlex

Background: The PARP inhibitor olaparib (Lynparza®) has shown significant efficacy as maintenance therapy for patients (pts) with PSR OC, especially pts with BRCA mutations, as capsules (Ledermann et al Lancet Oncol 2014) and tablets (Pujade-Lauraine et al Lancet Oncol 2017). Olaparib capsules have shown long-term benefit, with pts staying on treatment for ≥5 years (yrs; Gourley et al ASCO 2017). We analysed the long-term tolerability of olaparib tablets in the SOLO2 trial (ENGOT-Ov21; NCT01874353).

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 score0.006
Threshold uncertainty score0.019

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 studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.123
GPT teacher head0.464
Teacher spread0.340 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of OncologySame topicPARP inhibition in cancer therapyFrench-language works237,207