Patients' Preferences for Sphingosine-1-Phosphate Receptor Modulators in Multiple Sclerosis Based on Clinical Management Considerations: A Choice Experiment.

BACKGROUND: Several sphingosine-1-phosphate receptor (S1PR) modulators are available in the US for treating relapsing forms of multiple sclerosis (RMS). Given that these S1PR modulators have similar efficacy and safety, patients may consider the clinical management characteristics of the S1PR modulators when deciding among treatments. However, none of the S1PR modulators is clearly superior in every aspect of clinical management, and for some treatments, clinical management varies based on a patient's comorbid health conditions (e.g., heart conditions [HC]). OBJECTIVES: This study aimed to determine which S1PR modulator patients with relapsing-remitting multiple sclerosis (RRMS) would prefer based on clinical management considerations, and to estimate how different clinical management considerations might drive these preferences. Preferences were explored separately for patients with and without comorbid HC. METHODS: A multicriteria decision analysis was conducted on S1PR modulators approved to treat RMS: fingolimod, ozanimod, siponimod, and ponesimod. Clinical management preferences of patients with RRMS were elicited in a discrete choice experiment (DCE) in which participants repeatedly chose between hypothetical S1PR modulator profiles based on their clinical management attributes. Attributes included first-dose observations, genotyping, liver function tests, eye examinations, drug-drug interactions, interactions with antidepressants, interactions with foods high in tyramine, and immune system recovery time. Preferences were estimated separately for patients with HC and without HC (noHC). Marginal utilities were calculated from the DCE data for each attribute and level using a mixed logit model. In the multicriteria decision analysis, partial value scores were created by applying the marginal utilities for each attribute and level to the real-world profiles of S1PR modulators. Partial value scores were summed to determine an overall clinical management value score for each S1PR modulator. RESULTS: Four hundred patients with RRMS completed the DCE. Ponesimod had the highest overall value score for patients both without (n = 341) and with (n = 59) HC (noHC: 5.1; HC: 4.0), followed by siponimod (noHC: 4.9; HC: 3.3), fingolimod (noHC: 3.4; HC: 2.8), and ozanimod (noHC: 0.9; HC: 0.8). Overall, immune system recovery time contributed the highest partial value scores (noHC: up to 1.9 points; HC: up to 1.2 points), followed by the number of drug-drug interactions (noHC: up to 1.2 points; HC: up to 1.7 points). CONCLUSIONS: When considering the clinical management of S1PR modulators, the average patient with RRMS is expected to choose a treatment with shorter immune system recovery time and fewer interactions with other drugs. Patients both with and without heart conditions are likely to prefer the clinical management profile of ponesimod over those of siponimod, fingolimod, and ozanimod. This information can help inform recommendations for treating RRMS and facilitate shared decision making between patients and their doctors.

Meaningful Change Thresholds and Fatigue Severity Points on Patient-Reported Outcomes by the Fatigue Symptoms and Impacts Questionnaire in Patients With Relapsing Multiple Sclerosis.

OBJECTIVES: The Fatigue Symptoms and Impacts Questionnaire-Relapsing Multiple Sclerosis (FSIQ-RMS) is a new content-valid, concise, and reliable 20-item patient-reported outcome measure to evaluate the symptoms and impacts of fatigue in patients with relapsing forms of multiple sclerosis. Analyses were performed to derive meaningful change thresholds (MCTs) on patient-reported outcomes as measured by FSIQ-RMS and generate receiver operating characteristic (ROC) curves to determine fatigue severity cut points at baseline and change in severity at post-baseline and supplement the anchor-based MCT results. METHODS: Analyses were based on data from the OPTIMUM trial (NCT02425644). An anchor-based approach using uncollapsed changes on the Patient Global Impression of Severity at week 108 were used to determine the MCT for only the FSIQ-RMS Symptoms domain; distribution-based MCT estimations were conducted using baseline FSIQ-RMS Impacts scores. ROC curves with calculation of area under the curve were used to identify the best cut point. RESULTS: Based on the evidence provided by the anchor-based analyses using the Patient Global Impression of Severity as an anchor for the FSIQ-RMS Symptoms domain, meaningful score changes for improvement and deterioration were -6.3 and 6.3, respectively. Meaningful score changes for the FSIQ-RMS Physical, Cognitive/Emotional, and Coping Impacts domains using distribution-based methods were 10.8, 8.4, and 9.8, respectively. These results are supported by the ROC analyses. CONCLUSIONS: Thresholds to support interpretation of the FSIQ-RMS, such as MCTs, can be used to determine and categorize patients who have experienced a meaningful change in their MS-related fatigue (eg, responder analyses) in future clinical research studies.

Shared Decision-Making in the Treatment of Multiple Sclerosis: Results of a Cross-Sectional, Real-World Survey in Europe and the United States.

Introduction: Multiple sclerosis (MS) is a neurodegenerative disease characterized by progressive deterioration of cognitive and physical functioning, reducing activities of daily living and quality of life (QoL). Several treatments are available that modify the course of the disease and reduce the frequency of relapses. Although effective, all treatment options are accompanied by adverse events, and this study aimed to assess the extent to which patients were involved in the choice of treatment. Methods: Data were drawn from the Adelphi Multiple Sclerosis Disease Specific Program (DSP)™, a cross-sectional survey of healthcare practitioners (HCP) and their patients with MS in real-world clinical settings in Europe and the United States (US) between December 2020 and July 2021. HCPs reported patient demographics, clinical characteristics, current and previous treatment, and treatment outcomes. Patients voluntarily completed questionnaires reporting the physical and psychological impact of their MS and its treatment. Regression analysis with inverse probability of treatment weighting was used to compare treatment outcomes in patients actively involved in their current treatment choice with those who were not. Results: Of a total of 692 patients, median age 40 years and 64% female, mostly diagnosed with relapsing-remitting MS, those who were involved in shared decision-making tended to choose oral therapies such as dimethyl fumarate more often than HCPs. MS had greater impact on physical and psychological functioning in patients whose HCP made treatment decisions solely. Patients involved in decision-making reported greater satisfaction with their treatment and a better QoL. Discussion: Because no single optimal therapy exists for patients with MS, treatments should be individualized with consideration of patients' preferences. Our study shows that shared decision-making is under-utilized in the management of MS and supports the benefits of patient involvement. Conclusion: Patients who have an active role in treatment decision-making show improved wellbeing and QoL, and overall treatment satisfaction.

Feasibility study to evaluate capabilities for conducting psychiatric clinical research within the Rwandan mental healthcare system.

OBJECTIVE: To evaluate the feasibility of conducting a large clinical trial within the Rwandan mental healthcare system that would establish the safety, efficacy and benefit of paliperidone palmitate once-monthly (PP1M) and once-every-3-months (PP3M) long-acting injectable formulations in adults with schizophrenia. STUDY DESIGN: An open-label, prospective feasibility study. SETTING/PARTICIPANTS: 33 adult patients with schizophrenia were enrolled at 3 sites across Rwanda. INTERVENTIONS: The study design included 3 phases of treatment: an oral run-in to establish tolerability to risperidone (1 week), lead-in treatment with flexibly dosed PP1M to identify a stable dose (17 weeks) and maintenance treatment with PP3M (24 weeks). PRIMARY AND SECONDARY OUTCOME MEASURES: Feasibility endpoints included compliance with governmental and institutional requirements, acceptable supply chain delivery and proper onsite administration of risperidone/PP1M/PP3M, adequate site infrastructure, adequate training of clinical staff and successful completion of study procedures and scales. A variety of study scales were administered to assess outcomes relevant to patients, caregivers, clinicians and payers in Rwanda and other resource-limited settings. RESULTS: This study was terminated early by the sponsor because certain aspects of study conduct needed to be addressed to maintain Good Clinical Practice requirements and meet regulatory standards. Results identified areas for improvement in study execution, including study governance, site infrastructure, study preparation and conduct of procedures, study budget and study assessments. Despite the identification of areas in need of adjustment, none of these limitations were considered insurmountable. CONCLUSIONS: This work was designed to strengthen global research in schizophrenia by building the capacity of researchers to prepare and conduct pharmaceutical trials in resource-limited settings. Although the study was ended early, modifications motivated by the results will facilitate the successful design and completion of more comprehensive studies, including an ongoing, follow-up interventional trial of PP1M/PP3M in a larger population of patients in Rwanda. TRIAL REGISTRATION NUMBER: NCT03713658.

Severity and worsening of fatigue among individuals with multiple sclerosis.

Background: Fatigue is associated with reduced quality of life and social participation, and poor employment outcomes. However, most studies examining fatigue are limited by small sample sizes or short follow-up periods. Objective: To characterize the natural history of fatigue. Methods: The North American Research Committee on Multiple Sclerosis Registry participants with ≥7 years of longitudinal data between 2004 and 2019 and a relapsing disease course were included. A subset of participants enrolled within 5 years of diagnosis was identified. The Fatigue Performance Scale assessed fatigue and ≥1-point increase in Fatigue Performance Scale sustained at the next survey defined fatigue worsening. Results: Of 3057 participants with longitudinal data, 944 were within 5 years of multiple sclerosis diagnosis. Most participants (52%) reported fatigue worsening during follow-up. Median time to fatigue worsening ranged from 3.5 to 5 years at lower levels of index fatigue. Fatigue worsening was associated with lower annual income, increasing disability, lower initial fatigue level, taking injectable disease-modifying therapies and increasing depression levels in the relapsing multiple sclerosis participants. Conclusion: Most multiple sclerosis participants early in their disease suffer from fatigue and at least half reported fatigue worsening over time. Understanding factors associated with fatigue may help to identify populations most at risk of fatigue worsening will be informative for the overall management of patients with multiple sclerosis.

Comparing Relapse Rates in Real-World Patients with Schizophrenia Who Were Adequately versus Not Adequately Treated with Paliperidone Palmitate Once-Monthly Injections Before Transitioning to Once-Every-3-Months Injections.

Purpose: This retrospective cohort study evaluated real-world data on relapses in adult patients with schizophrenia who transitioned to long-acting injectable paliperidone palmitate once-every-3-months (PP3M) following treatment with once-monthly paliperidone palmitate (PP1M). Patients and Methods: Data derived from the IBM® MarketScan® Multi-State Medicaid Database were analyzed. Adults aged ≥18 years with ≥1 schizophrenia diagnosis claim and ≥12 months of continuous medical and prescription enrollment before and/or at index date of PP3M were eligible for inclusion. Patients were matched on propensity score to 2 PP3M cohorts: (1) adequately treated (AT), defined as patients treated with PP1M for ≥4 months, with the last 2 doses the same and a PP3M initiation dose meeting the corresponding PP1M-to-PP3M dose conversion, or (2) not adequately treated (NAT), defined as patients who received ≤2 or no PP1M doses. Relapse rates and time to relapse distributions based on the first occurrence of a qualifying event during the 2-year follow-up period were compared between PP3M cohorts using Kaplan-Meier survival curves and log rank test statistics. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using Cox proportional hazards models. Two sensitivity analyses using different matched populations were performed to assess the robustness of the primary findings. Results: Propensity score matching yielded a sample of 1314 patients (657 per group). Most patients were male (68.9%) and aged 25-64 years (90.1%). The relapse rate was significantly lower in the AT (18.4%) versus NAT cohort (26.8%), P = 0.0002. Risk of relapse decreased by 35% for AT versus NAT (HR: 0.65 [95% CI: 0.51-0.81]). Relapse reductions favored the AT cohort in both sensitivity analyses (HR: 0.67 [95% CI: 0.54-0.83] and HR: 0.74 [95% CI: 0.56-0.97]). Conclusion: In this analysis of Medicaid claims data, patients adequately treated with PP1M before transitioning to PP3M demonstrated significantly lower relapse rates and delayed time to relapse.

Comparative Efficacy of Relapsing Multiple Sclerosis Therapies: Model-Based Meta-Analyses for Confirmed Disability Accumulation and Annualized Relapse Rate.

BACKGROUND: Multiple sclerosis (MS) is an inflammatory autoimmune disorder and the most common cause of non-traumatic disability in young adults. The Phase 3 OPTIMUM study evaluated the efficacy and safety of oral ponesimod, a selective sphingosine-1-phosphate (S1P) receptor 1 modulator, vs. teriflunomide in patients with relapsing multiple sclerosis (RMS). The aim of this analysis was to assess the effect of ponesimod and other disease modifying treatments (DMTs) compared to placebo, as measured by 12-week confirmed disability accumulation (CDA) and annualized relapse rate (ARR) in RMS patients. METHODS: A database was developed by Certara Inc. (USA) based on relevant clinical trials identified from searching the following sources: PubMed, clinicaltrials.gov, FDA and EMEA documents, and conference abstracts. This database consisted of 203 unique randomized controlled trials (RCTs) with 74 MS treatments and was subsequently filtered to include RCTs with more than 25 patients receiving monotherapy to treat RMS for at least 48 weeks. A model-based meta-analysis (MBMA) was performed on the filtered database to assess treatment effects measured by CDA and ARR. Analyzed data for CDA were digitized from published Kaplan-Meier plots. A Weibull distribution was assumed to adequately capture the relationship of CDA probability over time, and hazard ratios (HRs) between treatments were assumed constant over time (proportional hazards). HRs were estimated for 12-week CDA for 17 DMTs vs. placebo. Additionally, mean ARR for each treatment arm was modelled, where relative effect versus placebo was estimated as a fixed effect parameter for each unique drug. A dose-response relationship was included if data for multiple doses were available. Relative treatment effect covariates explored for CDA and ARR included: percent of patients with relapsing-remitting MS (RRMS), trial start year, mean duration of disease, percent of patients who received DMTs within the prior 2 years (pDMT), mean number of relapses in the prior year, mean age, mean baseline EDSS score, and mean treatment duration (for ARR). RESULTS: The 12-week CDA model utilized longitudinal data from 26 RCTs (18 unique treatments [including placebo]), 69 treatment arms, 31,160 patients). The ARR model utilized data from 40 RCTs (18 unique treatments [including placebo], 100 treatment arms, 33,686 patients). Compared to placebo, ponesimod significantly reduced 12-week CDA by 39% (HR: 0.61; 95% CI: 0.45-0.82) and reduced ARR by 53% (rate ratio [RR]: 0.47; 95% CI: 0.39-0.58). Except for three DMTs (interferon ß-1b, glatiramer acetate, ozanimod), HR of 12-week CDA vs. placebo was significantly lower for the DMTs included in this analysis (HR range: 0.41 to 0.79). The ARR was significantly reduced for all DMTs compared to placebo (RR range: 0.29 to 0.82). A dose-response relationship indicated a potential dose-dependent effect (12-week CDA: 6 treatments; ARR: 8 treatments). Relative treatment effect was found to be significantly smaller in trials including more patients with prior DMT usage. Cross-trial heterogeneity in relative effects was assessed and found to be negligible; however, there is a possibility that confounders remain which may impact estimated relative treatment effects. CONCLUSIONS: Compared to placebo, ponesimod 20 mg significantly reduced both the risk of 12-week CDA and mean ARR, suggesting it has robust efficacy in the treatment of RMS. The study was funded by Janssen Research & Development, LLC.

Patient-psychiatrist discordance and drivers of prescribing long-acting injectable antipsychotics for schizophrenia management in the real-world: a point-in-time survey.

BACKGROUND: To assess discordance between psychiatrists and their patients with schizophrenia regarding disease management and understand drivers of prescribing long-acting injectable (LAI) antipsychotics. METHODS: Data were collected via the Adelphi Schizophrenia Disease Specific Programme™, a point-in-time real-world international survey of psychiatrists and their consulting patients with schizophrenia, conducted in 2019. Psychiatrists completed an attitudinal survey on schizophrenia management and provided patient profiles for their next 10 adult consulting patients. The same patients voluntarily completed patient self-completion forms. Disease severity and improvement were assessed via physician-reported Clinical Global Impression scale; patients' adherence to treatment was rated through a 3-point scale (1=not at all adherent, 3=fully adherent). RESULTS: Four hundred sixty-six psychiatrists provided data for 4345 patients (1132 receiving a LAI; 3105 on non-LAI treatment; 108 not on treatment). LAIs were more commonly prescribed to patients with severe schizophrenia, with varying reasons for prescribing. Globally, only slight agreement was observed between psychiatrists and patients for Clinical Global Impression severity of illness (κ=0.174) and level of improvement on treatment (κ=0.204). There was moderate agreement regarding level of adherence to treatment (κ=0.524). Reasons for non-adherence did not reach a level of agreement greater than fair. CONCLUSIONS: Our real-world survey found that LAIs were more often reserved for severe schizophrenia patients and improving adherence was a key driver for prescribing. However, compared with the patients themselves, psychiatrists tended to underestimate patients' disease severity and overestimate their adherence.

Prevalence and burden of multiple sclerosis-related fatigue: a systematic literature review.

BACKGROUND: Multiple sclerosis (MS) is a chronic, demyelinating disease of the central nervous system that results in progressive and irreversible disability. Fatigue is one of the most common MS-related symptoms and is characterized by a persistent lack of energy that impairs daily functioning. The burden of MS-related fatigue is complex and multidimensional, and to our knowledge, no systematic literature review has been conducted on this subject. The purpose of this study was to conduct a systematic literature review on the epidemiology and burden of fatigue in people with multiple sclerosis (pwMS). METHODS: Systematic searches were conducted in MEDLINE, Embase, and Evidence-Based Medicine Reviews to identify relevant studies of fatigue in pwMS. English-language records published from 2010 to January 2020 that met predefined eligibility criteria were included. We initially selected studies that reported quality of life (QoL) and economic outcomes according to categories of fatigue (e.g., fatigued vs non-fatigued). Studies assessing associations between economic outcomes and fatigue as a continuous measure were later included to supplement the available data. RESULTS: The search identified 8147 unique records, 54 of which met the inclusion criteria. Of these, 39 reported epidemiological outcomes, 11 reported QoL, and 9 reported economic outcomes. The supplementary screen for economic studies with fatigue as a continuous measure included an additional 20 records. Fatigue prevalence in pwMS ranged from 36.5 to 78.0%. MS-related fatigue was consistently associated with significantly lower QoL. Results on the economic impact of fatigue were heterogeneous, but most studies reported a significant association between presence or severity of fatigue and employment status, capacity to work, and sick leave. There was a gap in evidence regarding the direct costs of MS-related fatigue and the burden experienced by caregivers of pwMS. CONCLUSION: Fatigue is a prevalent symptom in pwMS and is associated with considerable QoL and economic burden. There are gaps in the evidence related to the direct costs of MS-related fatigue and the burden of fatigue on caregivers. Addressing fatigue over the clinical course of the disease may improve health and economic outcomes for patients with MS.

Associations Between Relapses and Psychosocial Outcomes in Patients With Schizophrenia in Real-World Settings in the United States.

Aim: To assess associations between relapses and psychosocial outcomes in adult patients with schizophrenia treated in United States (US) healthcare settings. Methods: Data were derived from a point-in-time survey of psychiatrists and their patients with schizophrenia conducted across the US, France, Spain, China, and Japan between July and October 2019. For the purposes of this analysis, only data from US practitioners and patients were included. Disease-specific programmes (DSPs) are large surveys with a validated methodology conducted in clinical practise; they describe current disease management, disease burden, and associated treatment effects (clinical and physician-perceived). Participating psychiatrists completed patient record forms for their next 10 consecutive adult consulting patients with schizophrenia, with the same patients invited to voluntarily complete a patient self-completion (PSC) questionnaire. Surveys contained questions on the patients' disease background, treatment history, prior hospitalisation due to schizophrenia relapse and a series of psychosocial outcomes. Associations between relapses in the last 12 months and psychosocial outcomes were examined using multiple regression. Results: A total of 124 psychiatrists provided data on 1,204 patients. Of these, 469 patients (mean age, 39.6 years; 56.5% male) had known hospitalisation history for the last 12 months and completed a PSC; 116 (24.7%) patients had ≥1 relapse. Compared to patients without relapses, patients who relapsed were more likely to be homeless, unemployed, previously incarcerated, and currently have difficulties living independently (all p < 0.05). Patients who experience a relapse also had greater working impairment and poorer quality of life compared with those who did not relapse. In general, psychosocial outcomes became poorer with an increasing number of relapses. Conclusions: In this population of patients with schizophrenia from the US, relapse was significantly associated with poor psychosocial outcomes, with a greater number of relapses predicting worse outcomes. Early intervention to reduce the risk of relapse may improve psychosocial outcomes in patients with schizophrenia.

Relapse and Treatment Adherence in Patients with Schizophrenia Switching from Paliperidone Palmitate Once-Monthly to Three-Monthly Formulation: A Retrospective Health Claims Database Analysis.

PURPOSE: Relapse and treatment adherence to paliperidone palmitate once-monthly (PP1M) and three-monthly (PP3M) formulations in patients with schizophrenia were evaluated and compared using health claims data. PATIENTS AND METHODS: Data (June 2015─June 2018) obtained from the MarketScan® Multi-State Medicaid Database were retrospectively analyzed. Patients aged ≥18 years with ≥1 claim for schizophrenia diagnosis prior to and/or at index date (i.e., date of first PP3M prescription record for PP3M patients and same month/year as the matched PP3M patients for PP1M patients) and continuous enrollment in the insurance plan for ≥12 months prior to index date (baseline) were included. PP1M cohort included patients who received ≥4 PP1M doses. PP3M patients were matched with PP1M patients (1:3) using propensity score matching and prevalent new user design. Outcome measures were relapse rate, time to relapse, proportion of days covered (PDC), and level of treatment adherence defined by PDC in five levels. Time to relapse was compared by Kaplan-Meier survival curves and log-rank test with the hazard ratio calculated using Cox proportion hazards model; PDC by t-test, and relapse rate and PDC categories by chi-square test. RESULTS: A total of 1564 patients (428 PP3M and 1136 PP1M) were included. Relapse rate was lower in PP3M cohort (10.5%) compared with PP1M cohort (15.7%). Incidence rate of relapse was 8.98/100 person-years (PY) in PP3M cohort and 13.81/100 PY in PP1M cohort. After a mean (SD) follow-up of 456.1 (240.28) days in PP3M cohort and 465.4 (237.95) days in PP1M cohort, PP3M patients had a significantly lower relapse risk (hazard ratio: 0.65, 95% CI: 0.47, 0.90) than PP1M patients. Treatment adherence was significantly (p<0.0001) higher in PP3M versus PP1M cohort. CONCLUSION: Risk of relapse was significantly lower, and treatment adherence was significantly higher in PP3M cohort compared with PP1M cohort. Higher treatment adherence was associated with lower relapse rate.

Patients' Preference for Long-Acting Injectable versus Oral Antipsychotics in Schizophrenia: Results from the Patient-Reported Medication Preference Questionnaire.

INTRODUCTION: Understanding patients' preferences for long-acting injectable (LAI) or oral antipsychotics (pills) could help reduce potential barriers to LAI use in schizophrenia. METHODS: Post hoc analyses were conducted from a double-blind, randomized, non-inferiority study (NCT01515423) of 3-monthly vs 1-monthly paliperidone palmitate in patients with schizophrenia. Data from the Medication Preference Questionnaire, administered on day 1 (baseline; open-label stabilization phase), were analyzed. The questionnaire includes four sets of items: 1) reasons for general treatment preference based on goals/outcomes and preference for LAI vs pills based on 2) personal experience, 3) injection-site (deltoid vs gluteal), 4) dosing frequency (3-monthly vs 1-monthly). A logistic regression analysis was performed to assess the effect of baseline variables on preference (LAIs or pills). RESULTS: Data from 1402 patients were available for analysis. Patients who preferred LAIs recognized these outcomes as important: "I feel more healthy" (57%), "I can get back to my favorite activities" (56%), "I don't have to think about taking my medicines" (54%). Most common reasons for medication preference (LAI vs pills) were: "LAIs/pills are easier for me" (67% vs 18%), "more in control/don't have to think about taking medicine" (64% vs 14%), "less pain/sudden symptoms" (38% vs 18%) and "less embarrassed" (0% vs 46%). Majority of patients (59%) preferred deltoid over gluteal injections (reasons: faster administration [63%], easier [51%], less embarrassing [44%]). In total, 50% of patients preferred 3-monthly over 1-monthly (38%) or every day (3%) dosing citing reasons: fewer injections [96%], fewer injections are less painful [84%], and fewer doctor visits [80%]. From logistic regression analysis, 77% of patients preferred LAI over pills; culture and race appeared to play a role in this preference. CONCLUSION: Patients who preferred LAI antipsychotics prioritized self-empowerment and quality-of-life-related goals. When given the option, patients preferred less-frequent, quarterly injections over monthly injections and daily oral medications.

Ethical and Social Implications of Using Predictive Modeling for Alzheimer's Disease Prevention: A Systematic Literature Review.

BACKGROUND: The therapeutic paradigm in Alzheimer's disease (AD) is shifting from symptoms management toward prevention goals. Secondary prevention requires the identification of individuals without clinical symptoms, yet "at-risk" of developing AD dementia in the future, and thus, the use of predictive modeling. OBJECTIVE: The objective of this study was to review the ethical concerns and social implications generated by this new approach. METHODS: We conducted a systematic literature review in Medline, Embase, PsycInfo, and Scopus, and complemented it with a gray literature search between March and July 2018. Then we analyzed data qualitatively using a thematic analysis technique. RESULTS: We identified thirty-one ethical issues and social concerns corresponding to eight ethical principles: (i) respect for autonomy, (ii) beneficence, (iii) non-maleficence, (iv) equality, justice, and diversity, (v) identity and stigma, (vi) privacy, (vii) accountability, transparency, and professionalism, and (viii) uncertainty avoidance. Much of the literature sees the discovery of disease-modifying treatment as a necessary and sufficient condition to justify AD risk assessment, overlooking future challenges in providing equitable access to it, establishing long-term treatment outcomes and social consequences of this approach, e.g., medicalization. The ethical/social issues associated specifically with predictive models, such as the adequate predictive power and reliability, infrastructural requirements, data privacy, potential for personalized medicine in AD, and limiting access to future AD treatment based on risk stratification, were covered scarcely. CONCLUSION: The ethical discussion needs to advance to reflect recent scientific developments and guide clinical practice now and in the future, so that necessary safeguards are implemented for large-scale AD secondary prevention.

Ethical and social implications of using predictive modeling for Alzheimer's disease prevention: a systematic literature review protocol.

INTRODUCTION: The therapeutic paradigm in Alzheimer's disease (AD) has shifted towards secondary prevention, defined as an intervention aiming to prevent or delay disease onset in pre-symptomatic individuals at risk of developing dementia due to AD. The key feature of AD prevention is the need to treat years or even decades before the onset of cognitive, behavioural or functional decline. Prediction of AD risk and evaluation of long-term treatment outcomes in this setting requires predictive modelling and is associated with ethical concerns and social implications. The objective of this review is to identify and elucidate them, as presented in the literature. METHODS AND ANALYSIS: A systematic literature review was conducted in Medline, Embase, PsycInfo and Scopus, and was complemented with a grey literature search. All searches were conducted between March and July 2018. Two reviewers independently assessed each study for inclusion and disagreements were adjudicated by a third reviewer. Data are now being extracted using an extraction sheet developed within the group of reviewers, based on an initial sample of three manuscripts, but allowing for inclusion of newly identified data items (ethical arguments). Data will be analysed qualitatively using a thematic analysis technique. Potential biases in selection and interpretation of extracted data are mitigated by the fact that reviewers come from a range of different scientific backgrounds and represent different types of stakeholders in this ethical discussion (academia, industry, patient advocacy groups). ETHICS AND DISSEMINATION: The study does not require ethical approval. The findings of the review will be disseminated in a peer-reviewed journal and presented at conferences. They will also be reported through the Innovative Medicine Initiative project: Real World Outcomes Across the AD Spectrum for Better Care: Multi-modal Data Access Platform (IMI: ROADMAP). TRIAL REGISTRATION NUMBER: CRD42018092205.