ArticleClinicoEconomics and outcomes research : CEOR2013
An Italian cost-effectiveness analysis of paclitaxel albumin (nab-paclitaxel) versus conventional paclitaxel for metastatic breast cancer patients: the COSTANza study.
Article in ClinicoEconomics and outcomes research : CEOR, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Use of Intermediate Endpoints in the Economic Evaluation of New Treatments for Advanced Cancer and Methods Adopted When Suitable Overall Survival Data are Not Available.PharmacoEconomics · 2016Pooled it
- Prospective study on nanoparticle albumin-bound paclitaxel in advanced breast cancer: clinical results and biological observations in taxane-pretreated patients.Drug design, development and therapy · 2015Trial
- Cost-Effectiveness of Blinatumomab Plus Chemotherapy vs Chemotherapy in Adults Newly Diagnosed with Philadelphia-Negative B-Cell Acute Lymphoblastic Leukemia in Italy.ClinicoEconomics and outcomes research : CEOR · 2026Article
- The clinical impact of conventional therapies for adults and adolescents suffering from eosinophilic esophagitis, a type 2 inflammatory chronic disease, and their economic consequences in Italy: Systematic literature review and meta-analysis.The journal of allergy and clinical immunology. Global · 2025Article
- A Cost-Effectiveness Analysis of Mosunetuzumab vs Tisagenlecleucel for Treatment of Third- or Higher-Line (3L+) Relapsed or Refractory (R/R) Follicular Lymphoma (FL) in Italy.ClinicoEconomics and outcomes research : CEOR · 2025Article
- The Value of Tucatinib in Metastatic HER2-Positive Breast Cancer Patients: An Italian Cost-Effectiveness Analysis.Cancers · 2023Article
- Albumin-Bound Paclitaxel: Worthy of Further Study in Sarcomas.Frontiers in oncology · 2022Review
- Patterns and Predictors of First-Line Taxane Use in Patients with Metastatic Triple-Negative Breast Cancer in US Clinical Practice.Current oncology (Toronto, Ont.) · 2021Article
- Preliminary Cost-Effectiveness and Cost-Utility Analysis of Cemiplimab in Patients with Advanced Cutaneous Squamous Cell Carcinoma in Italy.ClinicoEconomics and outcomes research : CEOR · 2021Article
- Reviewing the quality, health benefit and value for money of chemotherapy and targeted therapy for metastatic breast cancer.Breast cancer research and treatment · 2017Review
- Review
- Neoadjuvant nab-paclitaxel in the treatment of breast cancer.Breast cancer research and treatment · 2016Review
- Understanding the economic impact of intravascular ultrasound (IVUS).The European journal of health economics : HEPAC : health economics in prevention and care · 2016Article
- nab-Paclitaxel dose and schedule in breast cancer.Breast cancer research : BCR · 2015Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposePaclitaxel albumin (nab-paclitaxel) is a nanoparticle albumin-bound paclitaxel formulation aimed at increasing therapeutic index in metastatic breast cancer. When compared to conventional paclitaxel, nab-paclitaxel has a reported longer time to progression, higher response, lower incidence of neutropenia, no need for premedication, shorter time of administration, and in pretreated metastatic breast cancer patients, extended overall survival. This study investigates the cost-effectiveness of nab-paclitaxel versus conventional paclitaxel for pretreated metastatic breast cancer patients in Italy. MATERIALS AND
methodsA Markov model with progression-free, progressed, and dead states was developed to estimate costs, outcomes, and quality adjusted life years over 5 years from the Italian National Health Service viewpoint. Patients were assumed to receive nab-paclitaxel 260 mg/m(2) three times weekly or conventional paclitaxel 175 mg/m(2) three times weekly. Data on health care resource consumption was collected from a convenience sample of five Italian centers. Resources were valued at Euro (€) 2011. Published utility weights were applied to health states to estimate the impact of response, disease progression, and adverse events on quality adjusted life years. Three sensitivity analyses tested the robustness of the base case incremental cost-effectiveness ratio (ICER). RESULTS AND
conclusionCompared to conventional paclitaxel, nab-paclitaxel gains an extra 0.165 quality adjusted life years (0.265 life years saved) and incurs additional costs of €2506 per patient treated. This translates to an ICER of €15,189 (95% confidence interval: €11,891-€28,415). One-way sensitivity analysis underscores that ICER for nab-paclitaxel remains stable despite varying taxanes cost. Threshold analysis shows that ICER for nab-paclitaxel exceeds €40,000 only if cost per mg of conventional paclitaxel is set to zero. Probabilistic sensitivity analysis highlights that nab-paclitaxel has a 0.99 probability to be cost-effective for a threshold value of €40,000 and is the optimal alternative from a threshold value of €16,316 onwards. Based on these findings, nab-paclitaxel can be considered highly cost-effective when compared to the acceptability range for ICER proposed by the Italian Health Economics Association (€25,000-€40,000).
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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.