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Patient-reported outcomes (PROs) with first-line durvalumab (D) ± tremelimumab (T) versus chemotherapy (CT) in metastatic NSCLC: Results from MYSTIC.

2019· article· en· W2946997709 on OpenAlexaff
Edward B. Garon, Byoung Chul Cho, Niels Reinmuth, Ki Hyeong Lee, Alexander Luft, Myung‐Ju Ahn, G. Robinet, Sylvestre Le Moulec, Ronald B. Natale, Jeffrey Schneider, Frances A. Shepherd, Marina Chiara Garassino, Sarayut Lucien Geater, Zsolt Pápai-Székely, Tran Van Ngoc, Feng Liu, Urban Scheuring, Anna Rydén, Solange Peters, Naiyer A. Rizvi

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineLung cancerInternal medicineRepeated measures designQuality of life (healthcare)TremelimumabChemotherapyPopulationOncologyNuclear medicineGastroenterologySurgeryCancerImmunotherapyIpilimumab

Abstract

fetched live from OpenAlex

9048 Background: MYSTIC, an open-label, Phase 3 trial of first-line D (anti-PD-L1) ± T (anti-CTLA-4) vs platinum CT in mNSCLC, showed an improvement in overall survival (OS) with D vs CT in pts with tumor cell PD-L1 expression ≥25% (TC ≥25% [primary analysis population]; D vs CT, HR 0.76 [97.54% CI 0.56–1.02], p = 0.036; D+T vs CT, HR 0.85 [98.77% CI 0.61–1.17], p = 0.202). Here we summarize PROs from MYSTIC. Methods: Immunotherapy/CT-naïve mNSCLC pts were randomized (1:1:1) to D, D+T, or CT. Symptoms, function, and global health status/quality of life (QoL) were assessed using the EORTC QLQ-C30 v3 questionnaire and its lung cancer module, QLQ-LC13. A change in score from baseline ≥10 points was predefined as clinically meaningful (CM). Mean changes from baseline (over 12 mos) for prespecified symptoms were analyzed using a mixed model for repeated measures (MMRM). Time from randomization to the first CM deterioration (TTD) was analyzed. Results: Among pts with PD-L1 TC ≥25% (n = 488), there were no differences between arms in symptoms, function, or global health status/QoL at baseline. Compliance with completing the questionnaires was ≥60% to wk 120 in the D±T arms, and to wk 40 (C30) and wk 44 (LC13) in the CT arm. MMRM analysis showed significant between-arm differences in changes from baseline in favor of D for fatigue (difference vs CT −9.5) and appetite loss (−11.9; CM), and D+T for fatigue (−11.7; CM). Significantly longer TTD (median, mos) was seen with D and D+T vs CT for appetite loss (12.8 and 5.6 vs 4.5), constipation (14.6 and 9.0 vs 5.5), nausea/vomiting (16.7 and 9.7 vs 4.5), and dyspnea (10.6 and 7.4 vs 5.6); D vs CT for diarrhea (16.3 vs 9.0), insomnia (9.3 vs 6.2), and hemoptysis (not reached vs 10.3); and D+T vs CT for fatigue (5.6 vs 2.0). Significantly longer TTD (median, mos) was also seen with D and D+T vs CT for function (cognitive [9.1 and 6.6 vs 5.2], physical [9.0 and 7.4 vs 4.2], role [D vs CT only; 7.3 vs 3.7], social [12.9 and 5.4 vs 5.2]), and global health status/QoL (5.9 and 6.8 vs 5.5). Conclusions: Pts with PD-L1 TC ≥25% treated with D±T had a reduced symptom burden over time and longer TTD for symptoms, function, and global health status/QoL compared to pts receiving CT. Clinical trial information: NCT02453282.

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)0.002
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 score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.089
GPT teacher head0.460
Teacher spread0.371 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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