Evidence map›Paper›PMID 41904352›Full record

ArticleTherapeutic innovation & regulatory science2026

Precision in Pharmacoeconomics: A Comparative Cost-Utility Analysis of Osimertinib in EGFR-Mutant NSCLC Using Traditional and Pharmacometric Models.

Gloria Nnadwa Alhassan

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Therapeutic innovation & regulatory science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Gloria Nnadwa AlhassanDepartment of Nursing, Faculty of Health Sciences, Istanbul Gelişim University, Istanbul, Turkey. gnalhassan@gelisim.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health technology assessments (HTAs) for targeted therapies like osimertinib require models capturing individual pharmacokinetic/pharmacodynamic (PK/PD) variability in epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC). Traditional models often fail to reflect these dynamics adequately. This study compared a pharmacometric-based model (PMX) with four traditional frameworks to evaluate osimertinib's cost-utility from a healthcare payer perspective. A virtual cohort of 1,000 patients with advanced EGFR-mutant NSCLC received osimertinib (80 mg daily) or comparator first-line EGFR-tyrosine kinase inhibitors (gefitinib/erlotinib). Models projected survival, adverse events (AEs), quality-adjusted life years (QALYs), and costs over 2 years. ICURs used PMX as benchmark. The PMX model yielded highest QALYs (1.48) and lowest ICUR ($82,000/QALY vs. comparator), outperforming traditional models (ICUR deviations - 21% to + 40%). TTE exponential showed most divergence due to constant hazard. Probabilistic analyses confirmed PMX superiority across willingness-to-pay thresholds. Pharmacometric models, enabling individualized dosing and exposure-driven effects, provide more biologically plausible estimates, supporting their integration into HTAs for precision oncology.

Indexed as

AcrylamidesAniline CompoundsAntineoplastic AgentsCarcinoma, Non-Small-Cell LungLung NeoplasmsProtein Kinase InhibitorsCost-Benefit AnalysisCost-Effectiveness AnalysisEconomics, PharmaceuticalErbB ReceptorsGefitinibHumansIndolesModels, EconomicMutationPyrimidinesAcrylamidesAniline CompoundsAntineoplastic AgentsEGFR protein, humanErbB ReceptorsGefitinibIndolesosimertinibProtein Kinase InhibitorsPyrimidinesCost-Utility analysisEGFR-Mutant NSCLCHealth technology assessmentOsimertinibPharmacoeconomic modelingPharmacometric model

Identifiers

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.