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Real-world trends in EU4 and the UK in frontline (1L) maintenance (MT) for nonsquamous (NSQ) advanced non-small cell lung cancer (aNSCLC) without actionable mutations after introduction of immune checkpoint inhibitors.

2021· article· en· W3199590448 on OpenAlexaff
Cosmina Hogea, Linda Kalilani, Jasjit K. Multani, Vicky Casey, Sheila Mpima, Marie Yasuda, Chi‐Chang Chen, Fil Manguid, Thomas J. Giove, Jessica Chao, Amine Aziez, Alexander Stojadinovic

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsGlaxoSmithKline (Canada)
Fundersnot available
KeywordsPemetrexedLung cancerMedicineInternal medicineOncologyPembrolizumabTumor microenvironmentCancerChemotherapyImmunotherapyCisplatin

Abstract

fetched live from OpenAlex

296 Background: Immune checkpoint (PD-1, PD-L1) inhibitors are important in the treatment (Tx) of aNSCLC, as reflected in European Society for Medical Oncology (ESMO) guidelines. Pembrolizumab (pembro) combined with pemetrexed and platinum-based chemotherapy is a standard induction option in 1L Tx of NSQ aNSCLC. Decisions about 1L maintenance consider response and toxicity after induction, performance status, and patient preference. This study documents recent real-world 1L MT patient characteristics and Tx in EU4 (France, Germany, Italy, Spain) and UK. Methods: This retrospective analysis used patient chart review completed by treating physicians in EU4 and UK between 1 Jan 2018 and 31 Dec 2020 in the IQVIA Oncology Dynamics (OD) database. Adults (≥21 years) with confirmed NSQ aNSCLC (stage IIIB/C or IV) without actionable oncogenic driver mutations and with Eastern Cooperative Oncology Group (ECOG) status of 0 or 1 were included. 1L MT and Tx characteristics and trends over time were evaluated overall and by country. Results: In total, 1,814 NSQ aNSCLC patients receiving 1L MT Tx met the inclusion criteria; 29% of patients entered the analysis in 2018, 40% in 2019, and 31% in 2020. Most patients were male (61%), in the 46–65 age group (51%), current/ex-smokers (87%), and treated in the UK (29%) or Germany (24%); 94% were metastatic (stage IV), 10% presented with CNS/brain metastases, and 77% had ECOG score of 1. Overall, 91% were tested for PD-L1; of these, 47% had tumor proportion score (TPS) of ≥1% to 49%, 22% had TPS of ≥50%, and 21% tested negative. Baseline demographic and clinical characteristics were generally similar among countries. The top two Tx in 1L MT were pemetrexed (40%; range: 12% in Germany to 66% in Italy) and pembro (28%; range: 14% in Spain to 49% in Germany) monotherapies. Overall use of pemetrexed-based Tx in 1L MT decreased from 68% in 2018 Q1 to 56% in 2020 Q4, while pembro-based Tx increased from 18% in 2018 Q1 to 73% in 2020 Q4 in 1L MT. Conclusions: Despite ESMO guidelines, this real-world data suggests notable differences between European countries in 1L MT Tx for NSQ aNSCLC, with trends over time likely reflecting introduction and adoption of pembro regardless of PD-L1 status. Awareness of country and time-variability in clinical practice are critical for implementing clinical trials and updating clinical practice guidelines to maximize Tx benefits with improved tolerability.[Table: see text]

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)0.006
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
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 head0.026
GPT teacher head0.392
Teacher spread0.366 · 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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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