Evidence map›Paper›PMID 39352419›Full record

ArticleInternational journal of clinical pharmacy2024

Cost-effectiveness analysis of selpercatinib versus chemotherapy and pembrolizumab in the first-line treatment of rearranged during transfection fusion-positive non-small cell lung cancer in the United States.

Hongbin Yi, Yingdan Cao, Fenghao Shi, Xiaoxia Wei, Sheng Han

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in International journal of clinical pharmacy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. First-line versus second-line use of selpercatinib in treatment of RET fusion-positive advanced non-small cell lung cancer: a cost-effectiveness analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  3. Cost-effectiveness of first-line treatments for metastatic pancreatic cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  4. Article
  5. Review
  6. Article
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

5 authors.

Hongbin Yi *Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.ORCID http://orcid.org/0000-0003-2602-3959
Yingdan Cao *Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.ORCID http://orcid.org/0009-0006-7414-4674
Fenghao ShiDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.ORCID http://orcid.org/0009-0008-2876-7920
Xiaoxia WeiDepartment of Pharmacy, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, China. xxwei0321@outlook.com.ORCID http://orcid.org/0000-0003-2443-1203
Sheng HanDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.ORCID http://orcid.org/0000-0001-5975-3574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough selpercatinib has shown clinical benefits for rearranged during transfection (RET) fusion-positive non-small cell lung cancer (NSCLC), its cost-effectiveness requires further evaluation.

aimThis study aimed to evaluate the cost-effectiveness of selpercatinib versus chemotherapy and pembrolizumab in the first-line treatment of RET fusion-positive NSCLC from the perspective of the United States (US) payer.

methodA partitioned survival model was developed based on data from the LIBRETTO-431 trial. Cost and utility values for the health state were obtained from database data or published literature. The measured outcomes included quality-adjusted life-years (QALYs) and the incremental cost-effectiveness ratio (ICER). One-way sensitivity analysis and probabilistic sensitivity analyses (PSA) were conducted to assess the uncertainty of the model.

resultsSelpercatinib increased QALYs in patients with RET fusion-positive NSCLC by 0.90 compared to chemotherapy plus pembrolizumab, with an additional cost of $542,517.45, resulting in an ICER of $603,286.49/QALY, which exceeded the willingness-to-pay (WTP) threshold ($150,000) in the US. One-way sensitivity analysis suggested that the utility of progressed disease, the utility of progression-free survival, the price of selpercatinib, the discount, the price of pemetrexed, and the price of pembrolizumab had the greatest influence on the cost- effectiveness analysis process. In the PSA, 99.9% of the scatter points were distributed above the US WTP threshold of $150,000.

conclusionFrom the perspective of the US payer, selpercatinib is not cost-effective compared to chemotherapy and pembrolizumab for first-line treatment in patients with RET fusion-positive NSCLC.

Indexed as

Antibodies, Monoclonal, HumanizedCarcinoma, Non-Small-Cell LungCost-Benefit AnalysisLung NeoplasmsPyrazolesPyridinesQuality-Adjusted Life YearsAntineoplastic Combined Chemotherapy ProtocolsCost-Effectiveness AnalysisHumansProto-Oncogene Proteins c-retUnited StatesAntibodies, Monoclonal, HumanizedpembrolizumabProto-Oncogene Proteins c-retPyrazolesPyridinesRET protein, humanselpercatinibCostEffectivenessNon small cell lung cancerRearranged during transfectionSelpercatinib

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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 OpenQuestion graph.