Abstract
BACKGROUND
Randomised controlled trials are designed to assess the superiority, equivalence or non-inferiority of a new health technology, but which trial design should be used is not always obvious in practice. In particular, when using equivalence or non-inferiority designs, multiple outcomes of interest may be important for the success of a trial, despite the fact that usually only a single primary outcome is used to design the trial. Benefit-risk methods are used in the regulatory clinical trial setting to assess multiple outcomes and consider the trade-off of the benefits against the risks, but are not regularly implemented in publicly funded trials.
OBJECTIVES
The aim of the project is to aid the design of clinical trials with multiple outcomes of interest by defining when each trial design is appropriate to use and identifying when to use benefit-risk methods to assess outcome trade-offs (qualitatively or quantitatively) in a publicly funded trial setting.
METHODS
A range of methods was used to elicit expert opinion to answer the project objectives, including a web-based survey of relevant researchers, a rapid review of current literature and a 2-day consensus workshop of experts (in 2019).
RESULTS
We created a list of 19 factors to aid researchers in selecting the most appropriate trial design, containing the following overarching sections: population, intervention, comparator, outcomes, feasibility and perspectives. Six key reasons that indicate a benefit-risk method should be considered within a trial were identified: (1) when the success of the trial depends on more than one outcome; (2) when important outcomes within the trial are in competing directions (i.e. a health technology is better for one outcome, but worse for another); (3) to allow patient preferences to be included and directly influence trial results; (4) to provide transparency on subjective recommendations from a trial; (5) to provide consistency in the approach to presenting results from a trial; and (6) to synthesise multiple outcomes into a single metric. Further information was provided to support the use of benefit-risk methods in appropriate circumstances, including the following: methods identified from the review were collated into different groupings and described to aid the selection of a method; potential implementation of methods throughout the trial process were provided and discussed (with examples); and general considerations were described for those using benefit-risk methods. Finally, a checklist of five pieces of information that should be present when reporting benefit-risk methods was defined, with two additional items specifically for reporting the results.
CONCLUSIONS
These recommendations will assist research teams in selecting which trial design to use and deciding whether or not a benefit-risk method could be included to ensure research questions are answered appropriately. Additional information is provided to support consistent use and clear reporting of benefit-risk methods in the future. The recommendations can also be used by funding committees to confirm that appropriate considerations of the trial design have been made.
LIMITATIONS
This research was limited in scope and should be considered in conjunction with other trial design methodologies to assess appropriateness. In addition, further research is needed to provide concrete information about which benefit-risk methods are best to use in publicly funded trials, along with recommendations that are specific to each method.
STUDY REGISTRATION
The rapid review is registered as PROSPERO CRD42019144882.
FUNDING
Funded by the Medical Research Council UK and the National Institute for Health and Care Research as part of the Medical Research Council-National Institute for Health and Care Research Methodology Research programme.
Plain language summary
Randomised controlled trials are considered the best way to gather evidence about potential NHS treatments. They can be designed from different perspectives depending whether the aim is to show that a new treatment is better than, equal to or no worse than the current best available treatment. The selection of this design relates to the single most important outcome; however, often multiple outcomes can be affected by a treatment. For example, a new treatment may improve disease management but increase side effects. Patients want a treatment to work but not at the price of poor quality of life; therefore, a trade-off must be made, and the recommended treatment depends on this trade-off. Benefit–risk methods can assess the trade-off between multiple outcomes and can include patient preference. These methods could improve the way that decisions are made about treatments in the NHS, but there is currently limited research about the use of these methods in publicly funded trials. The aim of this report is to improve the design of clinical trials by helping researchers to select the most appropriate trial design and to decide when to include a benefit–risk method. The recommendations were created using the opinions of experts within the field and consisted of a survey, review of the literature and a workshop. The project created a list of 19 factors that can assist researchers to select the most appropriate trial design. Furthermore, six key areas were identified in which researchers may consider including a benefit–risk method within a trial. Finally, if a benefit–risk assessment is being used, a checklist of items has been created that identifies the information important to include in reports. This report is, however, limited in its applicability and further research should extend this work, as well as provide more detail on individual methods that are available.
Full text of this article can be found in Bookshelf.
References
- Schumi J, Wittes JT. Through the looking glass: understanding non-inferiority. Trials 2011;12:106. https://doi.org/10.1186/1745-6215-12-106 doi: 10.1186/1745-6215-12-106. [DOI] [PMC free article] [PubMed]
- Qian HL. Evaluating co-primary endpoints collectively in clinical trials. Bio J 2009;51:137–45. https://doi.org/10.1002/bimj.200710497 doi: 10.1002/bimj.200710497. [DOI] [PubMed]
- Freemantle N, Calvert M, Wood J, Eastaugh J, Griffin C. Composite outcomes in randomized trials: greater precision but with greater uncertainty? J Am Med Assoc 2003;289:2554–9. https://doi.org/10.1001/jama.289.19.2554 doi: 10.1001/jama.289.19.2554. [DOI] [PubMed]
- Saint-Hilary G, Robert V, Gasparini M. Decision-making in drug development using a composite definition of success. Pharm Stat 2018;17:555–69. https://doi.org/10.1002/pst.1870 doi: 10.1002/pst.1870. [DOI] [PubMed]
- PROTECT. Pharmacoepidemiological Research on Outcomes of Therapeutics by a European Consortium. 2016. URL: http://protectbenefitrisk.eu/aboutus.html (accessed 13 February 2020).
- Van de Ven AH, Delbecq AL. The nominal group as a research instrument for exploratory health studies. Am J Public Health 1972;62:337–42. https://doi.org/10.2105/AJPH.62.3.337 doi: 10.2105/ajph.62.3.337. [DOI] [PMC free article] [PubMed]
- Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006;3:77–101. https://doi.org/10.1191/1478088706qp063oa
- Hahn S. Understanding noninferiority trials. Korean J Pediatr 2012;55:403–7. https://doi.org/10.3345/kjp.2012.55.11.403 doi: 10.3345/kjp.2012.55.11.403. [DOI] [PMC free article] [PubMed]
- Murray GD. Points to consider on switching between superiority and non-inferiority. Br J Clin Pharmacol 2001;52:221. https://doi.org/10.1046/j.0306-5251.2001.01397.x doi: 10.1046/j.0306-5251.2001.01397-3.x. [DOI] [PMC free article] [PubMed]
- Wittes J. Sample size calculations for randomized controlled trials. Epidemiol Rev 2002;24:39–53. https://doi.org/10.1093/epirev/24.1.39 doi: 10.1093/epirev/24.1.39. [DOI] [PubMed]
- Cook JA, Julious SA, Sones W, Hampson LV, Hewitt C, Berlin JA, et al. DELTA2 guidance on choosing the target difference and undertaking and reporting the sample size calculation for a randomised controlled trial. Trials 2018;19:606. https://doi.org/10.1186/s13063-018-2884-0 doi: 10.1186/s13063-018-2884-0. [DOI] [PMC free article] [PubMed]
- COMET Initiative. Core Outcome Measures in Effectiveness Trials. URL: www.comet-initiative.org/ (accessed 18 June 2020).
- Prinsen CA, Vohra S, Rose MR, Boers M, Tugwell P, Clarke M, et al. How to select outcome measurement instruments for outcomes included in a ‘Core Outcome Set’ – a practical guideline. Trials 2016;17:449. https://doi.org/10.1186/s13063-016-1555-2 doi: 10.1186/s13063-016-1555-2. [DOI] [PMC free article] [PubMed]
- Miller SA, Forrest JL. Enhancing your practice through evidence-based decision making: PICO, learning how to ask good questions. J Evid Based Dent Pract 2001;1:136–41. https://doi.org/10.1016/S1532-3382(01)70024-3
- European Medicines Agency. ICH E9 (R1) Addendum on Estimands and Sensitivity Analysis in Clinical Trials to the Guideline on Statistical Principles for Clinical Trials. 2020. URL: www.ema.europa.eu/en/documents/scientific-guideline/ich-e9-r1-addendum-estimands-sensitivity-analysis-clinical-trials-guideline-statistical-principles_en.pdf (accessed 24 January 2022).
- Pocock SJ, Clayton TC, Stone GW. Challenging issues in clinical trial design: part 4 of a 4-part series on statistics for clinical trials. J Am Coll Cardiol 2015;66:2886–98. https://doi.org/10.1016/j.jacc.2015.10.051 doi: 10.1016/j.jacc.2015.10.051. [DOI] [PubMed]
- Wilson EC. A practical guide to value of information analysis. PharmacoEconomics 2015;33:105–21. https://doi.org/10.1007/s40273-014-0219-x doi: 10.1007/s40273-014-0219-x. [DOI] [PubMed]
- Bader C, Cossin S, Maillard A, Bénard A. A new approach for sample size calculation in cost-effectiveness studies based on value of information. BMC Med Res Methodol 2018;18:113. https://doi.org/10.1186/s12874-018-0571-1 doi: 10.1186/s12874-018-0571-1. [DOI] [PMC free article] [PubMed]
- Hersh AM, Walter RJ, Abberegg SK. Use of mortality as an endpoint in noninferiority trials may lead to ethically problematic conclusions. J Gen Intern Med 2019;34:618–23. https://doi.org/10.1007/s11606-018-4813-z doi: 10.1007/s11606-018-4813-z. [DOI] [PMC free article] [PubMed]
- INVOLVE. INVOLVE. 2020. URL: www.invo.org.uk/ (accessed 19 June 2020).
- Davies L, Cook J, Leal J, Areia CM, Shirkey B, Jackson W, et al. Comparison of the clinical and cost effectiveness of two management strategies (rehabilitation versus surgical reconstruction) for non-acute anterior cruciate ligament (ACL) injury: study protocol for the ACL SNNAP randomised controlled trial. Trials 2020;21:405. https://doi.org/10.1186/s13063-020-04298-y doi: 10.1186/s13063-020-04298-y. [DOI] [PMC free article] [PubMed]
- Pignatti F, Ashby D, Brass EP, Eichler HG, Frey P, Hillege HL, et al. Structured frameworks to increase the transparency of the assessment of benefits and risks of medicines: current status and possible future directions. Clin Pharmacol Ther 2015;98:522–33. https://doi.org/10.1002/cpt.203 doi: 10.1002/cpt.203. [DOI] [PubMed]
- NIHR. NIHR Policy on Clinical Trial Registration and Disclosure of Results. 2019. URL: www.nihr.ac.uk/documents/nihr-policy-on-clinical-trial-registration-and-disclosure-of-results/12252 (accessed 13 August 2020).
- Goetghebeur MM, Wagner M, Khoury H, Levitt RJ, Erickson LJ, Rindress D. Evidence and Value: Impact on DEcisionMaking – the EVIDEM framework and potential applications. BMC Health Serv Res 2008;8:270. https://doi.org/10.1186/1472-6963-8-270 doi: 10.1186/1472-6963-8-270. [DOI] [PMC free article] [PubMed]
- Ouellet D. Benefit-risk assessment: the use of clinical utility index. Expert Opin Drug Saf 2010;9:289–300. https://doi.org/10.1517/14740330903499265 doi: 10.1517/14740330903499265. [DOI] [PubMed]
- Agapova M, Devine EB, Bresnahan BW, Higashi MK, Garrison LP. Applying quantitative benefit-risk analysis to aid regulatory decision making in diagnostic imaging: methods, challenges, and opportunities. Acad Radiol 2014;21:1138–43. https://doi.org/10.1016/j.acra.2014.05.006 doi: 10.1016/j.acra.2014.05.006. [DOI] [PubMed]
- PROTECT. What is Benefit-Risk Assessment? URL: http://protectbenefitrisk.eu/PPI2.html (accessed 17 September 2020).
- Guo JJ, Pandey S, Doyle J, Bian B, Lis Y, Raisch DW. A review of quantitative risk-benefit methodologies for assessing drug safety and efficacy – report of the ISPOR risk-benefit management working group. Value Health 2010;13:657–66. https://doi.org/10.1111/j.1524-4733.2010.00725.x doi: 10.1111/j.1524-4733.2010.00725.x. [DOI] [PubMed]
- Mt-Isa S, Hallgreen CE, Wang N, Callréus T, Genov G, Hirsch I, et al. Balancing benefit and risk of medicines: a systematic review and classification of available methodologies. Pharmacoepidemiol Drug Saf 2014;23:667–78. https://doi.org/10.1002/pds.3636 doi: 10.1002/pds.3636. [DOI] [PubMed]
- Hallgreen CE, Mt-Isa S, Lieftucht A, Phillips LD, Hughes D, Talbot S, et al. Literature review of visual representation of the results of benefit-risk assessments of medicinal products. Pharmacoepidemiol Drug Saf 2016;25:238–50. https://doi.org/10.1002/pds.3880 doi: 10.1002/pds.3880. [DOI] [PubMed]
- Levitan B. A concise display of multiple end points for benefit-risk assessment. Clin Pharmacol Ther 2011;89:56–9. https://doi.org/10.1038/clpt.2010.251 doi: 10.1038/clpt.2010.251. [DOI] [PubMed]
- Hughes D, Waddingham E, Mt-Isa S, Goginsky A, Chan E, Downey GF, et al. Recommendations for benefit-risk assessment methodologies and visual representations. Pharmacoepidemiol Drug Saf 2016;25:251–62. https://doi.org/10.1002/pds.3958 doi: 10.1002/pds.3958. [DOI] [PubMed]
- Mühlbacher AC, Juhnke C, Beyer AR, Garner S. Patient-focused benefit-risk analysis to inform regulatory decisions: the European Union perspective. Value Health 2016;19:734–40. https://doi.org/10.1016/j.jval.2016.04.006 doi: 10.1016/j.jval.2016.04.006. [DOI] [PubMed]
- Holmes EAF, Plumpton C, Baker GA, Jacoby A, Ring A, Williamson P, et al. Patient-focused drug development methods for benefit-risk assessments: a case study using a discrete choice experiment for antiepileptic drugs. Clin Pharmacol Ther 2019;105:672–83. https://doi.org/10.1002/cpt.1231 doi: 10.1002/cpt.1231. [DOI] [PMC free article] [PubMed]
- Thabane L, Mbuagbaw L, Zhang S, Samaan Z, Marcucci M, Ye C, et al. A tutorial on sensitivity analyses in clinical trials: the what, why, when and how. BMC Med Res Methodol 2013;13:92. https://doi.org/10.1186/1471-2288-13-92 doi: 10.1186/1471-2288-13-92. [DOI] [PMC free article] [PubMed]
- Greenberg M, Simondon F, Saadatian-Elahi M. Perspectives on benefit-risk decision-making in vaccinology: conference report. Hum Vaccin Immunother 2016;12:176–81. https://doi.org/10.1080/21645515.2015.1075679 doi: 10.1080/21645515.2015.1075679. [DOI] [PMC free article] [PubMed]
- Bellanti F, van Wijk RC, Danhof M, Della Pasqua O. Integration of PKPD relationships into benefit-risk analysis. Br J Clin Pharmacol 2015;80:979–91. https://doi.org/10.1111/bcp.12674 doi: 10.1111/bcp.12674. [DOI] [PMC free article] [PubMed]
- Juhaeri J. Benefit–risk evaluation: the past, present and future. Ther Adv Drug Saf 2019;10:1–10. https://doi.org/10.1177/2042098619871180 doi: 10.1177/2042098619871180. [DOI] [PMC free article] [PubMed]
- Urban P, Gregson J, Owen R, Mehran R, Windecker S, Valgimigli M, et al. Assessing the risks of bleeding vs. thrombotic events in patients at high bleeding risk after coronary stent implantation: the ARC-high bleeding risk trade-off model. JAMA Cardiol 2021;6:410–19. https://doi.org/10.1001/jamacardio.2020.6814 doi: 10.1001/jamacardio.2020.6814. [DOI] [PMC free article] [PubMed]
- Lerner H, Whang J, Nipper R. Benefit–risk paradigm for clinical trial design of obesity devices: FDA proposal. Surg Endosc 2013;27:702–7. https://doi.org/10.1007/s00464-012-2724-3 doi: 10.1007/s00464-012-2724-3. [DOI] [PubMed]
- Medical Research Council. Developing and Evaluating Complex Interventions: New Guidance. 2006. URL: https://mrc.ukri.org/documents/pdf/complex-interventions-guidance/ (accessed 20 September 2020).
- Devlin NJ, Shah KK, Mulhern BJ, Pantiri K, van Hout B. A new method for valuing health: directly eliciting personal utility functions. Eur J Health Econ 2019;20:257–70. https://doi.org/10.1007/s10198-018-0993-z doi: 10.1007/s10198-018-0993-z. [DOI] [PMC free article] [PubMed]
- Cowen ME, Miles BJ, Cahill DF, Giesler RB, Beck JR, Kattan MW. The danger of applying group-level utilities in decision analyses of the treatment of localized prostate cancer in individual patients. Med Decis Making 1998;18:376–80. https://doi.org/10.1177/0272989X9801800404 doi: 10.1177/0272989X9801800404. [DOI] [PubMed]
- Ioannidis JP, Evans SJ, Gøtzsche PC, O’Neill RT, Altman DG, Schulz K, et al. Better reporting of harms in randomized trials: an extension of the CONSORT statement. Ann Intern Med 2004;141:781–8. https://doi.org/10.7326/0003-4819-141-10-200411160-00009 doi: 10.7326/0003-4819-141-10-200411160-00009. [DOI] [PubMed]
- European Medicines Agency. Benefit-risk Methodology. Amsterdam: European Medicines Agency; 2011.
- Qualtrics. Qualtrics. 2019. URL: www.qualtrics.com/ (accessed 20 September 2020).
- Biggs K, Totton N, Hind D, Hughes D, Julious S. A Rapid Review of Benefit-Risk Assessment Methodologies within Clinical Trials. PROSPERO CRD42019144882. 2019. URL: www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=144882 (accessed 15 September 2020).
- The Pharmaceutical Benefits Board (Tandvårds- och läkemedelsförmånsverket). General Guidelines for Economic Evaluations from the Pharmaceutical Benefits Board. 2003. URL: www.tlv.se/download/18.2e53241415e842ce95514e9/1510316396792/Guidelines-for-economic-evaluations-LFNAR-2003-2.pdf (accessed 20 September 2020).
- European Medicines Agency. Guidance Document on the Content of the Rapporteur Day Critical Assessment Report. 2016. URL: www.ema.europa.eu/docs/en_GB/document_library/Regulatory_and_procedural_guideline/2016/05/WC500206989.pdf (accessed 20 September 2020).
- European Medicines Agency. ICH Guideline E2C (R2) on Periodic Benefit-Risk Evaluation Report (PBRER). EMA/CHMP/ICH/544553/1998 Guidelines. Amsterdam: European Medicines Agency; 2013. URL: www.ema.europa.eu/docs/en_GB/document_library/Regulatory_and_procedural_guideline/2012/12/WC500136402.pdf (accessed 20 September 2020).
- European Medicines Agency. Benefit-risk Methodology Project – Project Description. 2009. URL: www.ema.europa.eu/en/documents/report/benefit-risk-methodology-project_en.pdf (accessed 24 January 2022).
- European Medicines Agency. Reflection Paper on Benefit-Risk Assessment Methods in the Context of the Evaluation of Marketing Authorisation Applications of Medicinal Products for Human Use. 2008. URL: www.ema.europa.eu/en/documents/regulatory-procedural-guideline/report-chmp-working-group-benefit-risk-assessment-models-methods_en.pdf (accessed 24 January 2022).
- Food and Drug Administration. Factors to Consider When Making Benefit-Risk Determinations in Medical Device Premarket Approval and De Novo Classifications. Silver Spring, MD: Food and Drug Administration; 2012.
- Food and Drug Administration. Structured Approach to Benefit–Risk Assessment in Drug Regulatory Decision-Making: PDUFA V Draft Implementation Plan: February 2013. Silver Spring, MD: Food and Drug Administration; 2013. URL: www.fda.gov/files/about%20fda/published/PDUFA-V-Implementation-Plan--Structured-Approach-to-Benefit-Risk-Assessment-in-Drug-Regulatory-Decision-Making-%28Draft%29.pdf (accessed 24 January 2022).
- Food and Drug Administration. Benefit Risk Assessment in Drug Regulatory Decision Making. Silver Spring, MD: Food and Drug Administration; 2018. URL: www.fda.gov/files/about%20fda/published/Benefit-Risk-Assessment-in-Drug-Regulatory-Decision-Making.pdf (accessed 24 January 2022).
- Food and Drug Administration. Guidance for Industry Premarketing Risk Assessment. Silver Spring, MD: Food and Drug Administration; 2005. URL: www.fda.gov/media/71650/download (accessed 24 January 2022).
- Fischoff B, Brewer NT, Downs J. Communicating Risks and Benefits: an Evidence-based User’s Guide. URL: www.fda.gov/media/81597/download (accessed 24 January 2022).
- Health Canada. Reader’s Guide to the Phase II Summary Basis of Decision (SBD) – Drugs. 2012. URL: www.canada.ca/en/health-canada/services/drugs-health-products/drug-products/summary-basis-decision/reader-guide-phase-2-summary-basis-decision-drugs.html (accessed 20 September 2020).
- Health Sciences Authority. Clinical Trials Guidance. Expedited Safety Reporting Requirements for Clinical Trials. 2021. URL: www.hsa.gov.sg/docs/default-source/hprg-io-ctb/hsa_gn-ioctb-10_safety_reporting_1mar2021.pdf (accessed 24 January 2022).
- Health Sciences Authority. Guidelines for Industry. Post-Marketing Vigilance Requirements For Therapeutic Products and Cell, Tissue and Gene Therapy Products. 2021. URL: www.hsa.gov.sg/docs/default-source/hprg-vcb/guidance-document/guidance-for-industry–post-marketing-vigilance-requirements-for-therapeutic-products-and-cell-tissue-and-gene-therapy-products_v3_01mar2021.pdf (accessed 24 January 2022).
- International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use. ICH Harmonised Tripartite Guideline: Statistical Principles for Clinical Trials. E9. 1998. URL: www.ich.org/fileadmin/Public_Web_Site/ICH_Products/Guidelines/Efficacy/E9/Step4/E9_Guideline.pdf (accessed 20 September 2020).
- International Risk Governance Center. Introduction to the IRGC Risk Governance Framework, Revised Version. Lausanne: École Polytechnique Fédérale de Lausanne International Risk Governance Center; 2017. URL: https://infoscience.epfl.ch/record/233739/files/IRGC.%20%282017%29.%20An%20introduction%20to%20the%20IRGC%20Risk%20Governance%20Framework.%20Revised%20version.pdf (accessed 24 January 2022).
- Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen (IQWiG). IQWiG – General Methods – Version 4.2. 2015. URL: www.iqwig.de/methoden/iqwig_general_methods_version_204-2.pdf (accessed 24 January 2022).
- Medsafe. How to Change the Legal Classification of a Medicine in New Zealand: Guidance Document. 2019. URL: www.medsafe.govt.nz/downloads/How_to_change_medicine_classification.pdf (accessed 24 January 2022).
- Pharmaceuticals and Medical Devices Agency. Risk Management Plan Guidance. Pharmaceuticals and Medical Devices Agency. 2012. URL: www.pmda.go.jp/files/000153333.pdf (accessed 24 January 2022).
- Therapeutic Goods Administration. Australian Public Assessment Report For Prescription Medicines. 2013. URL: www.tga.gov.au/australian-public-assessment-report-auspar-guidance (accessed 24 January 2022).
- Broadbent DM, Sampson CJ, Wang A, Howard L, Williams AE, Howlin SU, et al. Individualised screening for diabetic retinopathy: the ISDR study – design and methodology for a randomised controlled trial comparing annual and individualised risk-based variable-interval screening. BMJ Open 2019;9:e025788. https://doi.org/10.1136/bmjopen-2018-025788 doi: 10.1136/bmjopen-2018-025788. [DOI] [PMC free article] [PubMed]
- Saxon D, Ashley K, Bishop-Edwards L, Connell J, Harrison P, Ohlsen S, et al. A pragmatic randomised controlled trial assessing the non-inferiority of counselling for depression versus cognitive-behaviour therapy for patients in primary care meeting a diagnosis of moderate or severe depression (PRaCTICED): study protocol for a randomised controlled trial. Trials 2017;18:1–14. https://doi.org/10.1186/s13063-017-1834-6 doi: 10.1186/s13063-017-1834-6. [DOI] [PMC free article] [PubMed]
- National Institute for Health and Care Excellence (NICE). Depression in Adults: Recognition and Management. Clinical Guideline CG90. London: NICE; 2009. [PubMed]
- Advani PP, Ballman KV, Dockter TJ, Colon-Otero G, Perez EA. Long-term cardiac safety analysis of NCCTG N9831 (alliance) adjuvant trastuzumab trial. J Clin Oncol 2016;34:581–7. https://doi.org/10.1200/JCO.2015.61.8413 doi: 10.1200/JCO.2015.61.8413. [DOI] [PMC free article] [PubMed]
- Marson AG, Al-Kharusi AM, Alwaidh M, Appleton R, Baker GA, Chadwick DW, et al. The SANAD study of effectiveness of carbamazepine, gabapentin, lamptrigine, oxcarbazepine, or topiramate for treatment of partial epilepsy: an unblinded randomised controlled trial. Lancet 2007;369:1000–15. https://doi.org/10.1016/S0140-6736(07)60460-7 doi: 10.1016/S0140-6736(07)60460-7. [DOI] [PMC free article] [PubMed]
- Levitan BS, Andrews EB, Gilsenan A, Ferguson J, Noel RA, Coplan PM, Mussen F. Application of the BRAT framework to case studies: observations and insights. Clin Pharmacol Ther 2011;89:217–24. https://doi.org/10.1038/clpt.2010.280 doi: 10.1038/clpt.2010.280. [DOI] [PubMed]
- Micaleff A, Callreus T, Phillips L, Hughes D, Hockley K, Wang N, et al. IMI Work Package 5: Report 1:b:iii Benefit–Risk Wave 1 Case Study Report: Raptiva® (efalizumab). 2012. URL: www.imi-protect.eu/documents/Micaleff_et_al_Benefit_Risk_Wave_Case_study_Report_Efalizumab_Feb_2013.pdf (accessed 20 September 2020).
- Feinn R, Curtis B, Kranzler HR. Balancing risk and benefit in heavy drinkers treated with topiramate: implications for personalized care. J Clin Psychiatry 2016;77:e278–82. https://doi.org/10.4088/JCP.15m10053 doi: 10.4088/JCP.15m10053. [DOI] [PMC free article] [PubMed]
- Garrison LP, Towse A, Bresnahan BW. Assessing a structured, quantitative health outcomes approach to drug risk-benefit analysis. Health Aff 2007;26:684–95. https://doi.org/10.1377/hlthaff.26.3.684 doi: 10.1377/hlthaff.26.3.684. [DOI] [PubMed]
- Zozaya N, Martínez-Galdeano L, Alcalá B, Armario-Hita JC, Carmona C, Carrascosa JM, et al. Determining the value of two biologic drugs for chronic inflammatory skin diseases: results of a multi-criteria decision analysis. BioDrugs 2018;32:281–91. https://doi.org/10.1007/s40259-018-0284-3 doi: 10.1007/s40259-018-0284-3. [DOI] [PMC free article] [PubMed]
- Tervonen T, van Valkenhoef G, Buskens E, Hillege HL, Postmus D. A stochastic multicriteria model for evidence-based decision making in drug benefit-risk analysis. Stat Med 2011;30:1419–28. https://doi.org/10.1002/sim.4194 doi: 10.1002/sim.4194. [DOI] [PubMed]
- Lynd LD, O’Brien BJ. Advances in risk-benefit evaluation using probabilistic simulation methods: an application to the prophylaxis of deep vein thrombosis. J Clin Epidemiol 2004;57:795–803. https://doi.org/10.1016/j.jclinepi.2003.12.012 doi: 10.1016/j.jclinepi.2003.12.012. [DOI] [PubMed]
