ArticleAdvances in therapy2022
Assessment of the Cost-Effectiveness of HER2-Targeted Treatment Pathways in the Neoadjuvant Treatment of High-Risk HER2-Positive Early-Stage Breast Cancer.
Article in Advances in therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers, 1 of them a synthesis 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- The Cost Effectiveness of Genomic Medicine in Cancer Control: A Systematic Literature Review.Applied health economics and health policy · 2025Pooled it
- Advances in Biosimilars: A Systematic Review of Machine Learning Applications.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Impact of Pertuzumab and Ado-Trastuzumab Emtansine on Cumulative Avoidance of Recurrence Among Women Treated for Locally Advanced, Inflammatory, or Early-Stage Nonmetastatic HER2-Positive Breast Cancer in the United States.Advances in therapy · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThis study aims to assess differences in costs and benefits of treatment strategies for high-risk human epidermal growth factor receptor 2 positive (HER2+) early-stage breast cancer (ESBC).
methodsWe used a hybrid decision-tree/Markov model to simulate costs and outcomes across six health states: Invasive disease-free, non-metastatic recurrence, remission, first-line and second-line metastatic cancer, and death. We considered several strategies, defined by four attributes: (1) Neoadjuvant targeted therapy (infused pertuzumab and trastuzumab (PH) versus subcutaneous fixed-dose combination (FDC) of pertuzumab and trastuzumab versus trastuzumab alone (H)); (2) adjuvant targeted therapy if pathological complete response (pCR) is achieved (PH, FDC, or H); (3) adjuvant targeted therapy (T-DM1 or H) in the case of residual disease (RD); and (4) use of branded or biosimilar H. Transition probabilities were derived from relevant clinical trials. We included drug costs and costs associated with adverse events and administration. Health state utilities were obtained from clinical trials and the literature.
resultsStrategies not containing T-DM1 were dominated (worse outcomes and greater costs) by strategies containing T-DM1. Among strategies with pertuzumab continuation in the case of pCR and T-DM1 in the case of RD, use of FDC was dominant (equivalent outcomes and lower costs), relative to strategies using infused therapies, regardless of biosimilar versus branded trastuzumab. Adjuvant continuation of FDC was also cost-effective (better outcomes at reasonable cost increases) relative to strategies which discontinued pertuzumab following pCR.
conclusionDual targeted therapy via FDC (with transition to T-DM1 in the case of RD) is a cost-effective treatment strategy in high-risk HER2+ ESBC.
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Identifiers
What OpenQuestion holds
Registered trials
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.