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Record W4315650998 · doi:10.1016/j.lungcan.2023.01.006

Long-term comparative efficacy and safety of nivolumab plus ipilimumab relative to other first-line therapies for advanced non-small-cell lung cancer: A systematic literature review and network meta-analysis

2023· review· en· W4315650998 on OpenAlexaff
Kenneth J. O’Byrne, Evan Popoff, Firas Badin, Adam Lee, Yong Yuan, Greta Lozano‐Ortega, Laura J. Eccles, N. Varol, Nathalie Waser, John R. Penrod, Sarah Goring

Bibliographic record

VenueLung Cancer · 2023
Typereview
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsSpinal Cord Injury BCPrevention of Organ Failure
FundersBristol-Myers Squibb
KeywordsMedicineNivolumabIpilimumabPembrolizumabInternal medicineOncologyPopulationLung cancerHazard ratioAtezolizumabDocetaxelCancerConfidence intervalImmunotherapy

Abstract

fetched live from OpenAlex

OBJECTIVES: To quantify the long-term comparative efficacy and safety of nivolumab in combination with ipilimumab (NIVO + IPI) relative to other immunotherapy (IO)-based regimens and chemotherapy in patients with first-line advanced non-small cell lung cancer (aNSCLC). METHODS: Phase 3 randomized controlled-trials (RCTs) with minimum 3-year follow-up evaluating IO-based regimens approved for first-line aNSCLC were identified via systematic literature review. Analytic populations were defined by levels of PD-L1 expression and histology. Due to presence of proportional hazards violations, time-varying hazard ratios (HRs) of overall survival (OS) and progression-free survival (PFS) were estimated via Bayesian fractional polynomial network meta-analysis. For safety endpoints, odds ratios (ORs) were estimated using indirect treatment comparisons (ITCs). RESULTS: CheckMate 227, KEYNOTE-189, KEYNOTE-407, KEYNOTE-024, KEYNOTE-042, and IMpower150 were included in the base case analysis. For OS and PFS, HRs of NIVO + IPI relative to other IO-based regimens trended downward over time across analytic populations. The 36-month OS HRs of NIVO + IPI versus comparators were: 0.69 (95 % credible interval: 0.47, 1.00) versus pembrolizumab + chemotherapy and 0.65 (0.45, 0.93) versus atezolizumab + bevacizumab + chemotherapy in the non-squamous and PD-L1 all-comers population; 0.73 (0.53, 1.02) versus pembrolizumab + chemotherapy in the squamous and PD-L1 all-comers population; and 1.05 (0.83, 1.32) versus pembrolizumab in the mixed histology and PD-L1 ≥ 50 % population. For PFS, 36-month HR point estimates ranged from 0.46 to 0.85 (only statistically significant versus pembrolizumab + chemotherapy in the squamous population; 0.46 [0.31, 0.69]). Adverse events (AEs) leading to discontinuation were not statistically significantly different between NIVO + IPI and pembrolizumab + chemotherapy, nor between NIVO + IPI and pembrolizumab monotherapy, although treatment-related grade ≥ 3 AEs were higher with NIVO + IPI than pembrolizumab monotherapy (OR = 2.21 [1.30, 3.75]). CONCLUSIONS: This study indicates trends towards long-term benefit with NIVO + IPI compared with other IO-based combinations, with manageable toxicities.

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)0.019
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.035
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0150.037
Bibliometrics0.0050.005
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.070
GPT teacher head0.395
Teacher spread0.325 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations27
Published2023
Admission routes1
Has abstractyes

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