| Literature DB >> 26964144 |
Thomas Dörner1, Vibeke Strand2, Paul Cornes3, João Gonçalves4, László Gulácsi5, Jonathan Kay6, Tore K Kvien7, Josef Smolen8, Yoshiya Tanaka9, Gerd R Burmester10.
Abstract
Biosimilars remain a hot topic in rheumatology, and some physicians are cautious about their application in the real world. With many products coming to market and a wealth of guidelines and recommendations concerning their use, there is a need to understand the changing landscape and the real clinical and health-economic potential offered by these agents. Notably, rheumatologists will be at the forefront of the use of biosimilar monoclonal antibodies/soluble receptors. Biosimilars offer cost savings and health gains for our patients and will play an important role in treating rheumatic diseases. We hope that these lower costs will compensate for inequities in access to therapy based on economic differences across countries. Since approved biosimilars have already demonstrated highly similar efficacy, it will be most important to establish pharmacovigilance databases across countries that are adequate to monitor long-term safety after marketing approval. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/Entities:
Keywords: Anti-TNF; DMARDs (biologic); Economic Evaluations; Rheumatoid Arthritis; Treatment
Mesh:
Substances:
Year: 2016 PMID: 26964144 PMCID: PMC4893105 DOI: 10.1136/annrheumdis-2016-209166
Source DB: PubMed Journal: Ann Rheum Dis ISSN: 0003-4967 Impact factor: 19.103
Biosimilars for rheumatic diseases for which data have been published in peer-reviewed journals or presented at international scientific meetings
| Reference product | Biosimilar molecules |
|---|---|
| Adalimumab | ABP501 |
| BI 695501 | |
| CHS-1420 | |
| GP-2017 | |
| M923 | |
| SB5 | |
| ZRC-3197 | |
| Etanercept | CHS-0214 |
| GP2015 | |
| HD203 | |
| SB4* | |
| Infliximab | BOW015† |
| CT-P13*‡ | |
| PF-06438179 | |
| SB2 | |
| Rituximab | CT-P10 |
| GP2013 | |
| PF-05280586 |
*Approved by EMA and multiple other countries.
†Approved in India.
‡Recommended for approval by FDA.
EMA, European Medicines Agency; FDA, Food and Drug Administration.
Limitations of safety data derived from trials: statistical reminders when interpreting regulatory trials for reference and biosimilar products
| Test | Uses and interpretation | Example | |
|---|---|---|---|
| Bonferroni correction | When you perform a hypothesis test in statistics, a p value helps you determine the significance of your results. The more often you repeat a test in a study, the more likely it is to show a positive result by chance (a false positive). The simplest way to compensate for this is to limit comparisons to only the most clinically relevant and critical outcome. If multiple comparisons are needed, the measure of statistical confidence (traditionally taken to be p≤0.05) needs to be adjusted downwards. The Bonferroni correction is the simplest method for this. | Number of tests | Bonferroni's adjusted p value |
| 2 | 0.025 | ||
| 3 | 0.0167 | ||
| 4 | 0.0125 | ||
| 10 | 0.005 | ||
| The ‘rule of 3’ | In statistical analysis, the ‘rule of 3’ states that if a certain event did not occur in a sample with n subjects, then you can approximate that the upper limit of 95% CI=maximum risk=3/n. When n is greater than 30, this is a good approximation to results from more sensitive tests. | For example, if a drug was studied in 900 patients, you could be 95% certain that any unreported toxicity should occur at a rate of <1 in 300 (<3/900). To exclude less frequent events requires larger trial sizes and emphasises the importance of pharmacovigilance reporting. | |
Regulatory guidance on extrapolation
| Agency | Requirements for extrapolation | Issues precluding extrapolation |
|---|---|---|
| Europe | In certain cases, it may be possible to extrapolate therapeutic similarity shown in one indication to other indications of the reference medicinal product. Case-by-case decision based on the ‘totality of evidence’. Possible safety issues in different subpopulations should also be addressed. | Justification will depend on, for example, clinical experience, available literature data, whether or not the same mechanisms of action or the same receptor(s) are involved in all indications. |
| Canada | Indication of a biosimilar must be the same as its reference product. Similarity must be demonstrated by comprehensive comparative characterisation. Type and design of trials using sensitive populations and end points must be capable of detecting changes in the end points chosen. Consider route of administration; posology and PK/PD profiles in each indication considered. | Minor differences in active ingredients or mechanism of action. Differences in pathophysiology of the disease/s. Differences in clinical experience compared with reference drug. |
| Australia | In certain cases, it may be possible to extrapolate therapeutic similarity shown in one indication to other indications of the reference medicinal product. Possible safety issues in different subpopulations should also be addressed. | Justification will depend on, for example, clinical experience, available literature data, whether or not the same mechanisms of action or the same receptor(s) are involved in all indications. |
| Japan | Extrapolation to the Japanese population should be justified according to the ICH guidelines. | Japanese guideline describes that it may be possible to extrapolate from one indication to other indications of the reference product if the mechanism of action is the same. |
| USA | Use a study population and treatment regimen adequately sensitive. Sufficient scientific justification for each condition. Only for conditions of use previously licensed for the reference product. Demonstration requires detailed information regarding similar mechanism of action between biosimilar and reference product. | Extrapolation based on totality of the evidence. |
PK/PD, pharmacokinetic/pharmacodynamic.