ArticleJournal of pharmaceutical policy and practice2015
Regulatory withdrawal of medicines marketed with uncertain benefits: the bevacizumab case study.
Article in Journal of pharmaceutical policy and practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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
21 citing papers in PubMed.
- Triple-Negative Breast Cancer Unveiled: Bridging Science, Treatment Strategy, and Economic Aspects.International journal of molecular sciences · 2025Review
- Beyond the Pill: Mapping Process-Oriented Decision Support Models in Pharmaceutical Policy.Healthcare (Basel, Switzerland) · 2025Review
- Added Therapeutic Benefits of Top-Selling Drugs in Japan: A Cross-Sectional Study Using Health Technology Assessment.Clinical and translational science · 2025Article
- US FDA-accelerated approvals and subsequent withdrawals: influence on Japanese clinical oncology practice guidelines.Investigational new drugs · 2025Article
- Targeting RTKs/nRTKs as promising therapeutic strategies for the treatment of triple-negative breast cancer: evidence from clinical trials.Military Medical Research · 2024Review
- The end is where we start from: withdrawal of 17-alpha hydroxyprogesterone caproate to prevent recurrent preterm birth.American journal of obstetrics and gynecology · 2024Article
- Estimating the Product Lifecycle Value of Trastuzumab Based on Registry Data in Sweden.Clinical drug investigation · 2023Article
- Aducanumab, Accelerated Approvals & the Agency: Why the FDA Needs Structural Reform.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2023Article
- Overcoming the challenges of drug development in platinum-resistant ovarian cancer.Frontiers in oncology · 2023Review
- Impact of Managed Entry Agreements on availability of and timely access to medicines: an ex-post evaluation of agreements implemented for oncology therapies in four countries.BMC health services research · 2022Article
- The Importance of and Challenges with Adopting Life-Cycle Regulation and Reimbursement in Canada.Healthcare policy = Politiques de sante · 2022Article
- Regulatory Affairs 101: Introduction to Expedited Regulatory Pathways.Clinical and translational science · 2020Article
- Formulating an Ethics of Pharmaceutical Disinvestment.Journal of bioethical inquiry · 2020Article
- Article
- Population-Based Outcomes in NSCLC.JNCI cancer spectrum · 2019Article
- Pharmaceutical Drugs of Uncertain Value, Lifecycle Regulation at the US Food and Drug Administration, and Institutional Incumbency.The Milbank quarterly · 2019Article
- Maintenance Therapy in HER2-Negative Metastatic Breast Cancer: A New Approach for an Old Concept.Clinical drug investigation · 2019Review
- Review
- The Australian Managed Entry Scheme: Are We Getting it Right?PharmacoEconomics · 2018Review
- Impact of the black triangle label on prescribing of new drugs in the United Kingdom: lessons for the United States at a time of deregulation.Pharmacoepidemiology and drug safety · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundWithdrawal of conditional regulatory approval or subsidization of new medicines when subsequent evidence does not confirm early trial results may not be well understood or accepted by the public.
objectivesWe present a case study of the US Food and Drug Administration (FDA)'s decision to withdraw the indication of bevacizumab for the treatment of advanced breast cancer and include an analysis of the reactions of stakeholders with a view to identifying opportunities for improving risk management for new medicines with conditional approval or funding.
methodsWe drew on a range of information sources, including FDA documents, medical journals and media reports, to describe the evidentiary basis of the FDA decisions. We analysed the reactions and perspectives of the stakeholders.
resultsIn 2008 bevacizumab was granted conditional approval for treatment of advanced breast cancer by the FDA pending submission of supplementary satisfactory evidence. In 2011 the FDA decision to withdraw the indication was met with a hostile reaction from many clinicians and cancer survivors. There were different interpretations of the therapeutic value of bevacizumab with strong beliefs among cancer survivors that the medicine was effective and potential harm was manageable. High expectations of the public may have been encouraged by overly positive media reports and limited understanding by the public of the complexity of the scientific evaluation of new medicines and of the regulatory processes.
conclusionsImproving understanding and acceptance of approval or coverage schemes conditional to evidence development may require the development of risk management plans by regulatory and funding institutions. They may include a range of strategies such as requirements for formal patient acknowledgment of the conditional availability of the medicine, 'black-triangle' equivalent labels that identify full approval is based on pending evidence, and ongoing communication with the media, public and health professionals.
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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.