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van Eijk RPA, van den Berg LH, Lu Y. Composite endpoint for ALS clinical trials based on patient preference: Patient-Ranked Order of Function (PROOF). J Neurol Neurosurg Psychiatry 2022; 93:539-546. [PMID: 34921121 PMCID: PMC9016230 DOI: 10.1136/jnnp-2021-328194] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 12/02/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Patients with amyotrophic lateral sclerosis (ALS) show considerable variation in symptoms. Treatments targeting an overall improvement in symptomatology may not address what the majority of patients consider to be most important. Here, we propose a composite endpoint for ALS clinical trials that weighs the improvement in symptoms compared with what the patient population actually wants. METHODS An online questionnaire was sent out to a population-based registry in The Netherlands. Patients with ALS were asked to score functional domains with a validated self-reported questionnaire, and rank the order of importance of each domain. This information was used to estimate variability in patient preferences and to develop the Patient-Ranked Order of Function (PROOF) endpoint. RESULTS There was extensive variability in patient preferences among the 433 responders. The majority of the patients (62.1%) preferred to prioritise certain symptoms over others when evaluating treatments. The PROOF endpoint was established by comparing each patient in the treatment arm to each patient in the placebo arm, based on their preferred order of functional domains. PROOF averages all pairwise comparisons, and reflects the probability that a patient receiving treatment has a better outcome on domains that are most important to them, compared with a patient receiving placebo. By means of simulation we illustrate how incorporating patient preference may upgrade or downgrade trial results. CONCLUSIONS The PROOF endpoint provides a balanced patient-focused analysis of the improvement in function and may help to refine the risk-benefit assessment of new treatments for ALS.
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Affiliation(s)
- Ruben P A van Eijk
- Department of Biomedical Data Science and Centre for Innovative Study Design, Stanford University, Stanford, California, USA .,Department of Neurology, UMC Utrecht Brain Centre, Utrecht, The Netherlands
| | - L H van den Berg
- Department of Neurology, UMC Utrecht Brain Centre, Utrecht, The Netherlands
| | - Ying Lu
- Department of Biomedical Data Science and Centre for Innovative Study Design, Stanford University, Stanford, California, USA
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van Eijk RPA, Kliest T, van den Berg LH. Current trends in the clinical trial landscape for amyotrophic lateral sclerosis. Curr Opin Neurol 2021; 33:655-661. [PMID: 32796282 DOI: 10.1097/wco.0000000000000861] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE OF REVIEW To review the current developments in the design and conduct of clinical trials for amyotrophic lateral sclerosis (ALS), illustrated by a critical appraisal of ClinicalTrials.gov. RECENT FINDINGS In total, 63 clinical trials were included in the analysis, of which 13 phase 1, 35 phase 2 and 15 phase 3. Virtually all phase 3 clinical trials can be classified as randomized, placebo controlled, whereas this is only true for 57% of the phase 2 clinical trials. There are promising developments in the routes of drug administration, eligibility criteria, efficacy endpoints and overall trial design. Some of these innovative approaches may, however, not fulfil clinical trial guidelines or regulatory requirements. This could delay the development of effective therapy or hamper our ability to determine whether a treatment is truly (in)effective. The initiation of trial consortia comprising patient organizations, academia, industry and funding bodies may significantly strengthen the future clinical trial landscape for ALS. SUMMARY The ALS clinical trial landscape is currently highly active with several promising innovative developments and therapeutic options. By further refinement of evidence-based guidelines, and alignment of our current endeavours, we may soon be able to positively impact the lives of people living with ALS.
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Affiliation(s)
- Ruben P A van Eijk
- Department of Neurology, UMC Utrecht Brain Centre.,Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Tessa Kliest
- Department of Neurology, UMC Utrecht Brain Centre
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Costello E, Rooney J, Pinto-Grau M, Burke T, Elamin M, Bede P, McMackin R, Dukic S, Vajda A, Heverin M, Hardiman O, Pender N. Cognitive reserve in amyotrophic lateral sclerosis (ALS): a population-based longitudinal study. J Neurol Neurosurg Psychiatry 2021; 92:460-465. [PMID: 33563807 DOI: 10.1136/jnnp-2020-324992] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 01/08/2021] [Accepted: 01/10/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is often associated with cognitive and/or behavioural impairment. Cognitive reserve (CR) may play a protective role in offsetting cognitive impairment. This study examined the relationship between CR and longitudinal change in cognition in an Irish ALS cohort. METHODS Longitudinal neuropsychological assessment was carried out on 189 patients over 16 months using the Edinburgh cognitive and behavioural ALS screen (ECAS) and an additional battery of neuropsychological tests. CR was measured by combining education, occupation and physical activity data. Joint longitudinal and time-to-event models were fitted to investigate the associations between CR, performance at baseline and decline over time while controlling for non-random drop-out. RESULTS CR was a significant predictor of baseline neuropsychological performance, with high CR patients performing better than those with medium or low CR. Better cognitive performance in high CR individuals was maintained longitudinally for ECAS, social cognition, executive functioning and confrontational naming. Patients displayed little cognitive decline over the course of the study, despite controlling for non-random drop-out. CONCLUSIONS These findings suggest that CR plays a role in the presentation of cognitive impairment at diagnosis but is not protective against cognitive decline. However, further research is needed to examine the interaction between CR and other objective correlates of cognitive impairment in ALS.
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Affiliation(s)
- Emmet Costello
- Department of Psychology, Beaumont Hospital, Dublin 9, Ireland .,Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - James Rooney
- Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.,Institute and Clinic for Occupational, Social- and Environmental Medicine, University Hospital, Munich, Germany
| | - Marta Pinto-Grau
- Department of Psychology, Beaumont Hospital, Dublin 9, Ireland.,Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Tom Burke
- Department of Psychology, Beaumont Hospital, Dublin 9, Ireland.,Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Marwa Elamin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Peter Bede
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Roisin McMackin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Stefan Dukic
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland.,Department of Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Alice Vajda
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Mark Heverin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Niall Pender
- Department of Psychology, Beaumont Hospital, Dublin 9, Ireland.,Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
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van Eijk RPA, Nikolakopoulos S, Roes KCB, Middelkoop BM, Ferguson TA, Shaw PJ, Leigh PN, Al-Chalabi A, Eijkemans MJC, van den Berg LH. Critical design considerations for time-to-event endpoints in amyotrophic lateral sclerosis clinical trials. J Neurol Neurosurg Psychiatry 2019; 90:1331-1337. [PMID: 31292200 PMCID: PMC6902062 DOI: 10.1136/jnnp-2019-320998] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 05/31/2019] [Accepted: 06/13/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND Funding and resources for low prevalent neurodegenerative disorders such as amyotrophic lateral sclerosis (ALS) are limited, and optimising their use is vital for efficient drug development. In this study, we review the design assumptions for pivotal ALS clinical trials with time-to-event endpoints and provide optimised settings for future trials. METHODS We extracted design settings from 13 completed placebo-controlled trials. Optimal assumptions were estimated using parametric survival models in individual participant data (n=4991). Designs were compared in terms of sample size, trial duration, drug use and costs. RESULTS Previous trials overestimated the hazard rate by 18.9% (95% CI 3.4% to 34.5%, p=0.021). The median expected HR was 0.56 (range 0.33-0.66). Additionally, we found evidence for an increasing mean hazard rate over time (Weibull shape parameter of 2.03, 95% CI 1.93 to 2.15, p<0.001), which affects the design and planning of future clinical trials. Incorporating accrual time and assuming an increasing hazard rate at the design stage reduced sample size by 33.2% (95% CI 27.9 to 39.4), trial duration by 17.4% (95% CI 11.6 to 23.3), drug use by 14.3% (95% CI 9.6 to 19.0) and follow-up costs by 21.2% (95% CI 15.6 to 26.8). CONCLUSIONS Implementing distributional knowledge and incorporating accrual at the design stage could achieve large gains in the efficiency of ALS clinical trials with time-to-event endpoints. We provide an open-source platform that helps investigators to make more accurate sample size calculations and optimise the use of their available resources.
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Affiliation(s)
- Ruben P A van Eijk
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
- Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Stavros Nikolakopoulos
- Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Kit C B Roes
- Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Bas M Middelkoop
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Toby A Ferguson
- Department of Neurology Research and Early Clinical Development, Biogen Inc, Cambridge, Massachusetts, USA
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - P Nigel Leigh
- Department of Clinical Neuroscience, Trafford Centre for Biomedical Research, Brighton and Sussex Medical School, Brighton, UK
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
| | - Marinus J C Eijkemans
- Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Leonard H van den Berg
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
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