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Real-world comparative effectiveness and safety of pembrolizumab vs chemotherapy for previously untreated PD-L1≥50% metastatic non-small cell lung cancer.

2023· article· en· W4388203347 on OpenAlexaffabout
Brandon Lu, Ambika Parmar, Jin Luo, Kelvin Chan

Bibliographic record

VenueJCO Oncology Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsPembrolizumabMedicineInternal medicineHazard ratioLung cancerCohortOncologyRetrospective cohort studyChemotherapyConfidence intervalPopulationProportional hazards modelPropensity score matchingSurgeryCancerImmunotherapy

Abstract

fetched live from OpenAlex

538 Background: In the randomized KEYNOTE-024 trial, pembrolizumab demonstrated robust efficacy in patients with PD-L1≥50% metastatic non-small cell lung cancer (mNSCLC) with median overall survival of (OS) of 26.3 months and 13.4 months in the pembrolizumab and chemotherapy groups, respectively (hazard ratio (HR)=0.62). However, it is unclear how well this efficacy translates to effectiveness in routine practice. Thus, we sought to assess the real-world effectiveness and safety of pembrolizumab for patients with previously untreated PD-L1≥50% mNSCLC compared to platinum-based chemotherapy. Methods: This was a population-based, retrospective cohort study of mNSCLC patients receiving first-line platinum-based chemotherapy (historical controls) from April 1, 2013, to January 17, 2018, or first-line pembrolizumab (cases) from January 17, 2018, to March 31, 2021, in Ontario, Canada. Baseline characteristics and outcomes were ascertained from linked administrative databases. The primary outcome was OS, assessed using Kaplan-Meier and Cox proportional hazards regression methods. Secondary safety outcomes included hospitalization, emergency department visits, specialist visits, and adverse events. To adjust for baseline differences, propensity-score matching was used to match the case and control cohorts (1:1). As a sensitivity analysis, we analyzed OS by histology subgroups (squamous versus non-squamous). Results: A total of 2,284 matched patients were included in our propensity score-matched cohort. The median OS in the pembrolizumab group (13.0 months, 95% confidence interval (CI): 11.8-14.6) was significantly longer than the chemotherapy group (9.2 months, 95% CI: 8.0-10.0), with a HR of 0.81 (95% CI: 0.71-0.92). Though pembrolizumab was also associated with improved OS in both patients with squamous (HR=0.77) and non-squamous histology (HR=0.81), pembrolizumab patients reported significantly more adverse events, specialist visits, and higher 1-year cumulative incidence of direct hospitalizations (11.5% vs 6.8%, p=0.0002). Conclusions: The results of this study confirm the survival benefit of pembrolizumab monotherapy for previously untreated mNSCLC patients with PD-L1≥50% in routine practice, though with increased toxicity and diminished benefit in the real world.

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)0.008
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.034
GPT teacher head0.393
Teacher spread0.359 · 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 designObservational
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".

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Citations0
Published2023
Admission routes2
Has abstractyes

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