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Record W4389504875 · doi:10.1093/jnci/djad240

Health-related quality of life with pembrolizumab plus chemotherapy vs placebo plus chemotherapy for advanced triple-negative breast cancer: KEYNOTE-355

2023· article· en· W4389504875 on OpenAlexaff
David W. Cescon, Peter Schmid, Hope S. Rugo, Seock‐Ah Im, Mastura Md Yusof, Carlos Gallardo, Oleg Lipatov, Carlos H. Barrios, José Manuel Pérez-García, Hiroji Iwata, Norikazu Masuda, Marco Torregroza Otero, Erhan Gökmen, Sherene Loi, Amin Haiderali, Xuan Zhou, Zifang Guo, Allison Martin Nguyen, Javier Cortés

Bibliographic record

VenueJNCI Journal of the National Cancer Institute · 2023
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
FundersMerck
KeywordsMedicinePembrolizumabCarboplatinInternal medicineBreast cancerChemotherapyQuality of life (healthcare)GemcitabinePlaceboOncologyCancerClinical endpointClinical trialImmunotherapyPathology

Abstract

fetched live from OpenAlex

BACKGROUND: In KEYNOTE-355 (NCT02819518), the addition of pembrolizumab to chemotherapy led to statistically significant improvements in progression-free survival and overall survival in patients with advanced triple-negative breast cancer with tumor programmed cell death ligand 1 (PD-L1) combined positive score of at least 10. We report patient-reported outcomes from KEYNOTE-355. METHODS: Patients were randomly assigned 2:1 to pembrolizumab 200 mg or placebo every 3 weeks for up to 35 cycles plus investigator's choice chemotherapy (nab-paclitaxel, paclitaxel, or gemcitabine plus carboplatin). The European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (QLQ-C30), Breast Cancer-Specific Quality of Life Questionnaire, and EuroQol 5-Dimension questionnaire visual analog scale were prespecified. Patient-reported outcomes were analyzed for patients who received at least 1 dose of study treatment and completed at least 1 patient-reported outcome assessment. Changes in patient-reported outcome scores from baseline were assessed at week 15 (latest time point at which completion and compliance rates were at least 60% and at least 80%, respectively). Time to deterioration in patient-reported outcomes was defined as time to first onset of at least a 10-point worsening in score from baseline. RESULTS: Patient-reported outcome analyses included 317 patients with tumor PD-L1 combined positive score of at least 10 (pembrolizumab plus chemotherapy: n = 217; placebo plus chemotherapy: n = 100). There were no between-group differences in change from baseline to week 15 in QLQ-C30 global health status/quality of life (QOL; least-squares mean difference = -1.81, 95% confidence interval [CI] = -6.92 to 3.30), emotional functioning (least-squares mean difference = -1.43, 95% CI = -7.03 to 4.16), physical functioning (least-squares mean difference = -1.05, 95% CI = -6.59 to 4.50), or EuroQol 5-Dimension questionnaire visual analog scale (least-squares mean difference = 0.18, 95% CI = -5.04 to 5.39) and no between-group difference in time to deterioration in QLQ-C30 global health status/QOL, emotional functioning, or physical functioning. CONCLUSIONS: Together with the efficacy and safety findings, patient-reported outcome results from KEYNOTE-355 support pembrolizumab plus chemotherapy as a standard of care for patients with advanced triple-negative breast cancer with tumor PD-L1 expression (combined positive score ≥10).

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.052
GPT teacher head0.368
Teacher spread0.316 · 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

Citations22
Published2023
Admission routes1
Has abstractyes

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