Evidence map›Paper›PMID 40549122›Full record

ArticlePharmacoEconomics2025

Key Considerations for Assessing Real-World Comparative Effectiveness in the Context of the Drug Price Negotiation Program: A Case Study of Pembrolizumab.

Antal T Zemplenyi, Nai-Chia Chen, Kelly E Anderson, Blythe Adamson, Michael J DiStefano, Kavita V Nair, Robert B McQueen

Abstract readComparative Study
In one paragraph

Article in PharmacoEconomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

7 authors.

Antal T ZemplenyiSkaggs, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Mail Stop C238, 12850 E. Montview Blvd., Aurora, CO, 80045, USA. antal.zemplenyi@cuanschutz.edu.
Nai-Chia ChenSkaggs, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Mail Stop C238, 12850 E. Montview Blvd., Aurora, CO, 80045, USA.
Kelly E AndersonSkaggs, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Mail Stop C238, 12850 E. Montview Blvd., Aurora, CO, 80045, USA.
Blythe AdamsonFlatiron Health, New York, NY, USA.
Michael J DiStefanoSkaggs, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Mail Stop C238, 12850 E. Montview Blvd., Aurora, CO, 80045, USA.
Kavita V NairSkaggs, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Mail Stop C238, 12850 E. Montview Blvd., Aurora, CO, 80045, USA.
Robert B McQueenSkaggs, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Mail Stop C238, 12850 E. Montview Blvd., Aurora, CO, 80045, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe Centers for Medicare and Medicaid Services increasingly rely on real-world evidence to inform drug price negotiations under the Inflation Reduction Act. This study aims to evaluate methodological decisions that impact real-world comparative effectiveness outcomes using a case example of first-line pembrolizumab versus therapeutic alternatives in advanced non-small cell lung cancer among the Medicare population.

methodsThis study used a deidentified, electronic health record-derived, advanced non-small cell lung cancer dataset (2011-23) to analyze Medicare-eligible stage IV patients in three indications: (1) non-squamous, epidermal growth factor receptor, and anaplastic lymphoma kinase negative; (2) squamous; and (3) epidermal growth factor receptor and anaplastic lymphoma kinase negative with programmed death ligand-1 expression ≥1%. Indications (1)-(2) involved pembrolizumab combinations, while (3) referred to pembrolizumab monotherapy. Comparators included common non-platinum-based chemotherapy regimens. Propensity score-based inverse probability weighting was applied. The primary outcomes were real-world progression-free survival and overall survival. Scenario analyses examined the influence of time period selection, programmed death ligand-1 inclusion, therapeutic alternatives, and treatment switching on comparative effectiveness estimates.

resultsIn the non-squamous cohort (1), overall survival benefits of pembrolizumab therapies compared to alternatives varied from a non-significant difference to an improvement of 2.7 months (95% confidence interval 1.2, 4.8), depending on analytical choices. In the squamous cohort (2), pembrolizumab combinations consistently demonstrated overall survival benefits, which ranged from 1.4 months (95% confidence interval 0.1, 3.0) to up to 3.6 months (95% confidence interval 0.1, 5.9). However, for pembrolizumab monotherapy (3), overall survival differences were statistically non-significant. Scenario analyses indicated substantial variability in outcomes based on methodological choices.

conclusionsThis study underscores the importance of transparent reporting and scenario analyses in real-world evidence to support Centers for Medicare & Medicaid Services decision making during drug price negotiations. Findings highlight the need for rigorous methodological standards to ensure the external validity of real-world evidence and its alignment with clinical practice.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalCarcinoma, Non-Small-Cell LungDrug CostsLung NeoplasmsAgedAged, 80 and overComparative Effectiveness ResearchCost-Benefit AnalysisFemaleHumansMaleMedicareNegotiatingProgression-Free SurvivalUnited StatesAntibodies, Monoclonal, HumanizedAntineoplastic Agents, Immunologicalpembrolizumab

Identifiers

PMID40549122
PMCPMC12370795

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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 OpenQuestion graph.