ArticleAdvances in therapy2019
Cost-Effectiveness of Alectinib for Patients with Untreated ALK-Positive Non-Small Cell Lung Cancer in China.
Article in Advances in therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Sponsorship bias in published pharmacoeconomic evaluations of national reimbursement negotiation drugs in China: a systematic review.BMJ global health · 2023Pooled it
- A Systematic Review of the Cost-Effectiveness Analyses of Anaplastic Lymphoma Kinase (ALK) Inhibitors in Patients with Locally Advanced or Metastatic Non-small Cell Lung Cancer (NSCLC).PharmacoEconomics · 2023Pooled it
- Trial
- Pharmacoeconomic Analysis of Brigatinib versus Alectinib in First‑Line Treatment of Anaplastic Lymphoma Kinase‑Positive Advanced Non‑Small‑Cell Lung Cancer in China.Oncology and therapy · 2025Article
- The long-term avoided recurrences and recurrence-related cost of alectinib for postoperative adjuvant therapy in Chinese patients with early-stage ALK-positive non-small cell lung cancer.Frontiers in public health · 2025Article
- Were economic evaluations well reported for the newly listed oncology drugs in China's national reimbursement drug list.BMC health services research · 2022Article
- Evaluation of osimertinib for advanced non-small cell lung cancer with leptomeningeal metastases: a cost-effectiveness and budget impact analysis.International journal of clinical pharmacy · 2022Article
- Osimertinib versus platinum-pemetrexed in patients with previously treated EGFR T790M advanced non-small cell lung cancer: An updated AURA3 trial-based cost-effectiveness analysis.Frontiers in oncology · 2022Article
- Crizotinib Versus Conventional Chemotherapy in First-Line Treatment for ALK-Positive Non-Small Cell Lung Cancer: A Systematic Review and Meta-Analysis.Oncology and therapy · 2021Article
- Clinical pharmacist participation in selecting and dosing targeted drugs for a patient with ALK-positive non-small cell lung cancer: a case report.Annals of translational medicine · 2021Article
- Upfront Management of ALK-Rearranged Metastatic Non-small Cell Lung Cancer: One Inhibitor Fits All?Current oncology reports · 2021Review
- Cost analysis of the management of brain metastases in patients with advanced ALK+ NSCLC: alectinib versus crizotinib.Lung cancer management · 2020Article
- Nivolumab Versus Docetaxel for Previously Treated Advanced Non-Small Cell Lung Cancer in China: A Cost-Effectiveness Analysis.Clinical drug investigation · 2020Article
- Cost Effectiveness of Ceritinib and Alectinib Versus Crizotinib in First-Line Anaplastic Lymphoma Kinase-Positive Advanced Non-small-cell Lung Cancer.Clinical drug investigation · 2020Article
- Letter: Cost-Effectiveness of Alectinib for Patients with Untreated ALK-Positive Non-Small-Cell Lung Cancer in China.Advances in therapy · 2020Article
- Cost-Effectiveness Analysis Of Ceritinib And Alectinib Versus Crizotinib In The Treatment Of Anaplastic Lymphoma Kinase-Positive Advanced Non-Small Cell Lung Cancer.Cancer management and research · 2019Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTo assess the cost-effectiveness of alectinib versus crizotinib as first-line treatments for advanced anaplastic lymphoma kinase (ALK)-positive non-small cell lung cancer (NSCLC) patients from the perspective of China's healthcare system.
methodsA Markov model was developed to assess the clinical outcomes and costs of alectinib and crizotinib, which included five health states: progression-free (PF) without central nervous system (CNS) progression, PF with CNS progression, post-progression (PP) without CNS progression, PP with CNS progression, and death. Clinical data for transition probabilities were obtained from the ALEX trial at the updated data cutoff. Healthcare resource utilization and costs were derived from clinical expert opinions and published literature. One-way sensitivity analysis and probabilistic sensitivity analysis were conducted to assess the uncertainty of the results. Scenario analyses were conducted including using clinical data from the ALESIA trial in Asian patients, using utilities from the ALEX trial, and choosing different parametric survival models.
resultsIn base case analysis, alectinib yielded an additional 1.04 quality-adjusted life years (QALYs) with incremental costs of $54,827, resulting in an incremental cost-effectiveness ratio (ICER) of $52,869/QALY. In scenario analysis, the ICER was $56,787/QALY using clinical data from the ALESIA trial. In probabilistic sensitivity analysis, the probabilities of alectinib being cost-effective were 0.4% and 43.7% when the willingness-to-pay (WTP) thresholds were $28,109/QALY and $50,000/QALY, respectively.
conclusionAlectinib could prolong the mean time of PF and delay the time to CNS progression. However, because of its high drug cost, alectinib was unlikely to be cost-effective for untreated ALK-positive NSCLC patients in China.
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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.