Evidence map›Paper›PMID 34633624›Full record

ArticleInternational journal of clinical pharmacy2022

Evaluation of osimertinib for advanced non-small cell lung cancer with leptomeningeal metastases: a cost-effectiveness and budget impact analysis.

Shaohong Luo, Xiuhua Weng, Shen Lin, Xiaoting Huang, Lingning Huang, Wei Zhou, Xianzhong Guo, Xiongwei Xu

Abstract read
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In one paragraph

Article in International journal of clinical pharmacy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. 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

8 authors at 1 institution in 1 country.

Shaohong Luo *Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Taijiang, Fuzhou, 350005, People's Republic of China.
Xiuhua Weng *Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Taijiang, Fuzhou, 350005, People's Republic of China.
Shen LinDepartment of Pharmacy, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Taijiang, Fuzhou, 350005, People's Republic of China.
Xiaoting HuangDepartment of Pharmacy, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Taijiang, Fuzhou, 350005, People's Republic of China.
Lingning HuangDepartment of Endocrinology, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Taijiang, Fuzhou, 350005, People's Republic of China.
Wei ZhouDepartment of Human Resources, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Taijiang, Fuzhou, 350005, People's Republic of China.
Xianzhong GuoDepartment of Pharmacy, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Taijiang, Fuzhou, 350005, People's Republic of China. 9477101@qq.com.
Xiongwei XuDepartment of Pharmacy, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Taijiang, Fuzhou, 350005, People's Republic of China. xxw0409@163.com.ORCID http://orcid.org/0000-0002-4787-2506
Fujian Medical University · CN

Funding

natural science foundation of fujian province 2018J01171the startup fund for scientific research, fujian medical university 2017XQ1068the startup fund for scientific research, fujian medical university 2020QH1061
6 · The paper itself

Abstract

Background Few regimens for non-small cell lung cancer (NSCLC) with leptomeningeal metastases (LM) patients exist up to date, most with low efficacy. A retrospective analysis showed that osimertinib significantly improved the overall survival of LM patients by 11.5 months (17.0 vs. 5.5) as compared to no osimertinib treatment. Until now, no pharmacoeconomic evaluation of osimertinib has been performed to determine its feasibility for widespread use in LM patients. Aim This study analyzed the cost-effectiveness of osimertinib in LM of NSCLC from the perspective of the Chinese health care system. Methods Based on a retrospective analysis from the Samsung Medical Center, a Markov model was constructed to estimate the lifetime benefits and costs for LM patients who were treated with osimertinib. The main outcomes were cost, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio (ICER). Sensitivity analyses were performed to verify the robustness of model. A budget impact analysis was conducted to estimate the annual incremental cost of osimertinib treatment. Results Compared with patients who were not treated with osimertinib, the survival time of patients treated with osimertinib was higher by 0.69 (1.24 vs. 0.55) QALYs. The incremental cost was $11,877 ($29,232 vs. $17,355) and the ICER was $17,214/QALY, which was below the willingness-to-pay threshold of $30,867/QALY. Osimertinib treatment will increase national cancer spending by $220 million in the first year and increase to $474 million in the fifth year. Conclusions Osimertinib treatment is deemed to be cost-effective for NSCLC with LM patients, however, its use would significantly increase annual cancer spending.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAcrylamidesAniline CompoundsCost-Benefit AnalysisErbB ReceptorsHumansIndolesProtein Kinase InhibitorsPyrimidinesRetrospective StudiesAcrylamidesAniline CompoundsErbB ReceptorsIndolesosimertinibProtein Kinase InhibitorsPyrimidinesCost-effectiveness analysisEpidermal growth factor receptorLeptomeningeal metastasesNon-small cell lung cancerOsimertinib

Identifiers

PMID34633624
OpenAlexW3207421180

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.