Clinical Trial Data Research Articles

The moderating role of diabetes distress on the effect of a randomized eHealth intervention on glycemic control in Black adolescents with type 1 diabetes.

Due to systemic inequities, Black adolescents with type 1 diabetes are more likely to have suboptimal glycemic control and high rates of diabetes distress, but tailored interventions for this population are lacking. In primary outcomes of a randomized clinical trial, a family-based eHealth intervention improved glycemic control in Black adolescents with type 1 diabetes and elevated depressive symptoms. The present study is a secondary analysis of these clinical trial data examining the moderating effect of diabetes distress on the efficacy of the intervention. Using secondary data from a multicenter randomized clinical trial (Clinicaltrials.gov [NCT03168867]), caregiver-adolescent dyads were randomly assigned to either up to three sessions of an eHealth parenting intervention (n = 75) or a standard medical care control group (n = 74). Black adolescents (10 years, 0 months to 14 years, 11 months old) with type 1 diabetes and a caregiver willing to participate were eligible. Adolescents reported their diabetes distress at baseline, and hemoglobin A1c (HbA1c) data were collected at baseline, 6-, 13-, and 18-month follow-up. No between-group contrasts emerged in a linear mixed-effects regression (p's > .09). Within-group contrasts emerged such that adolescents assigned to the intervention who reported high diabetes distress had lower HbA1c at the 18-month follow-up relative to baseline (p = .004); the 18-month decrease in HbA1c was -1.03%. Black adolescents with type 1 diabetes and high levels of diabetes distress showed significant decreases in HbA1c following a family-based eHealth intervention, suggesting diabetes distress may be a key moderator of intervention efficacy within this population.

Longitudinal invariance of the Patient Health Questionnaire-9 among patients receiving pharmacotherapy for major depressive disorder: A secondary analysis of clinical trial data.

Comparing self-reported symptom scores across time requires longitudinal measurement invariance (LMI), a psychometric property that means the measure is functioning identically across all time points. Despite its prominence as a measure of depression symptom severity in both research and health care, LMI has yet to be firmly established for the Patient Health Questionnaire-9 depression module (PHQ-9), particularly over the course of antidepressant pharmacotherapy. Accordingly, the objective of this study was to assess for LMI of the PHQ-9 during pharmacotherapy for major depressive disorder. This was a secondary analysis of data collected during a randomized controlled trial. A total of 1,944 veterans began antidepressant monotherapy and completed the PHQ-9 six times over 24 weeks of treatment. LMI was assessed using a series of four confirmatory factor analysis models that included all six time points, with estimated parameters increasingly constrained across models to test for different aspects of invariance. Root-mean-square error of approximation of the chi-square difference test values below 0.06 indicated the presence of LMI. Exploratory LMI analyses were also performed for separate sex, age, and race subgroups. Root-mean-square error of approximation of the chi-square difference test showed minimal change in model fits during invariance testing (≤ 0.06 for all steps), supporting full LMI for the PHQ-9. LMI was also supported for all tested veteran subgroups. As such, PHQ-9 sum scores can be compared across extended pharmacotherapy treatment durations. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Management of advanced high grade gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs): comprehensive review of the current literature.

The classification and management of neuroendocrine neoplasms (NENs) arising in the tubular gastrointestinal (GI) tract and pancreas have significantly evolved over the last decades. In the latest WHO classification published in 2022, NENs are separated regardless of their primary origin into two main groups: well-differentiated neuroendocrine tumors (NETs) and poorly differentiated neuroendocrine carcinomas (NECs). The substantial changes in the grading system changed the definition of grade 3 to include high-grade well-differentiated NETs (G3-NETs), and poorly differentiated NECs (-NECs). Although these two subgroups are considered high grades with Ki-67 >20%, they have different genomic profiles, prognosis, and clinical behavior, which critically influence their treatment strategies. The available clinical trial data to guide therapy of these high-grade subgroups are extremely limited, which impacts their management. In this review, we will summarize the current advances in the multidisciplinary approach for the management of high-grade gastroenteropancreatic NENs (GEP-NENs) including G3-NETs and NECs.

Creating an automated tool for a consistent and repeatable evaluation of disability progression in clinical studies for multiple sclerosis

Background: The lack of standardized disability progression evaluation in multiple sclerosis (MS) hinders reproducibility of clinical study results, due to heterogeneous and poorly reported criteria. Objective: To demonstrate the impact of using different parameters when evaluating MS progression, and to introduce an automated tool for reproducible outcome computation. Methods: Re-analyzing BRAVO clinical trial data (NCT00605215), we examined the fluctuations in computed treatment effect on confirmed disability progression (CDP) and progression independent of relapse activity (PIRA) when varying different parameters. These analyses were conducted using the msprog package for R, which we developed as a tool for CDP assessment from longitudinal data, given a set of criteria that can be specified by the user. Results: The BRAVO study reported a hazard ratio (HR) of 0.69 (95% confidence interval (CI): 0.46–1.02) for CDP. Using the different parameter configurations, the resulting treatment effect on CDP varied considerably, with HRs ranging from 0.59 (95% CI: 0.41–0.86) to 0.72 (95% CI: 0.48–1.07). The treatment effect on PIRA varied from an HR = 0.62 (95% CI: 0.41–0.93) to an HR = 0.65 (95% CI: 0.40–1.04). Conclusions: The adoption of an open-access tool validated by the research community, with clear parameter specification and standardized output, could greatly reduce heterogeneity in CDP estimation and promote repeatability of study results.

Statistical considerations when estimating time-saving treatment effects in Alzheimer's disease clinical trials.

Estimating treatment effects as time savings in disease progression may be more easily interpretable than assessing the absolute difference or a percentage reduction. In this study, we investigate the statistical considerations of the existing method for estimating time savings and propose alternative complementary methods. We propose five alternative methods to estimate the time savings from different perspectives. These methods are applied to simulated clinical trial data that mimic or modify the Clinical Dementia Rating Sum of Boxes progression trajectories observed in the Clarity AD lecanemab trial. Our study demonstrates that the proposed methods can generate more precise estimates by considering two crucial factors: (1) the absolute difference between treatment arms, and (2) the observed progression rate in the treatment arm. Quantifying treatment effects as time savings in disease progression offers distinct advantages. To provide comprehensive estimations, it is important to use various methods. We explore the statistical considerations of the current method for estimating time savings. We proposed alternative methods that provide time savings estimations based on the observed absolute differences. By using various methods, a more comprehensive estimation of time savings can be achieved.

Exploring the discrepancies between clinical trials and real-world data: A small-cell lung cancer study.

The potential of real-world data to inform clinical trial design and supplement control arms has gained much interest in recent years. The most common approach relies on reproducing control arm outcomes by matching real-world patient cohorts to clinical trial baseline populations. However, recent studies pointed out that there is a lack of replicability, generalisability, and consensus. In this article, we propose a novel approach that aims to explore and examine these discrepancies by concomitantly investigating the impact of selection criteria and operations on the measurements of outcomes from the patient data. We tested the approach on a dataset consisting of small-cell lung cancer patients receiving platinum-based chemotherapy regimens from a real-world data cohort (n = 223) and six clinical trial control arms (n = 1224). The results showed that the discrepancy between real-world and clinical trial data potentially depends on differences in both patient populations and operational conditions (e.g., frequency of assessments, and censoring), for which further investigation is required. Discovering and accounting for confounders, including hidden effects of differences in operations related to the treatment process and clinical trial study protocol, would potentially allow for improved translation between clinical trials and real-world data. Continued development of the method presented here to systematically explore and account for these differences could pave the way for transferring learning across clinical studies and developing mutual translation between the real-world and clinical trials to inform clinical study design.

Precision oncology revolution: CRISPR-Cas9 and PROTAC technologies unleashed.

Cancer continues to present a substantial global health challenge, with its incidence and mortality rates persistently reflecting its significant impact. The emergence of precision oncology has provided a breakthrough in targeting oncogenic drivers previously deemed "undruggable" by conventional therapeutics and by limiting off-target cytotoxicity. Two groundbreaking technologies that have revolutionized the field of precision oncology are primarily CRISPR-Cas9 gene editing and more recently PROTAC (PROteolysis TArgeting Chimeras) targeted protein degradation technology. CRISPR-Cas9, in particular, has gained widespread recognition and acclaim due to its remarkable ability to modify DNA sequences precisely. Rather than editing the genetic code, PROTACs harness the ubiquitin proteasome degradation machinery to degrade proteins of interest selectively. Even though CRISPR-Cas9 and PROTAC technologies operate on different principles, they share a common goal of advancing precision oncology whereby both approaches have demonstrated remarkable potential in preclinical and promising data in clinical trials. CRISPR-Cas9 has demonstrated its clinical potential in this field due to its ability to modify genes directly and indirectly in a precise, efficient, reversible, adaptable, and tissue-specific manner, and its potential as a diagnostic tool. On the other hand, the ability to administer in low doses orally, broad targeting, tissue specificity, and controllability have reinforced the clinical potential of PROTAC. Thus, in the field of precision oncology, gene editing using CRISPR technology has revolutionized targeted interventions, while the emergence of PROTACs has further expanded the therapeutic landscape by enabling selective protein degradation. Rather than viewing them as mutually exclusive or competing methods in the field of precision oncology, their use is context-dependent (i.e., based on the molecular mechanisms of the disease) and they potentially could be used synergistically complementing the strengths of CRISPR and vice versa. Herein, we review the current status of CRISPR and PROTAC designs and their implications in the field of precision oncology in terms of clinical potential, clinical trial data, limitations, and compare their implications in precision clinical oncology.

Drug repurposing for glomerular diseases: an underutilized resource.

Drug repurposing in glomerular disease can deliver opportunities for steroid-free regimens, enable personalized multi-target options for resistant or relapsing disease and enhance treatment options for understudied populations (for example, children) and in resource-limited settings. Identification of drug-repurposing candidates can be data driven, which utilizes existing data on disease pathobiology, drug features and clinical outcomes, or experimental, which involves high-throughput drug screens. Information from databases of approved drugs, clinical trials and PubMed registries suggests that at least 96 drugs on the market cover 49 targets with immunosuppressive potential that could be candidates for drug repurposing in glomerular disease. Furthermore, evidence to support drug repurposing is available for 191 immune drug target-glomerular disease pairs. Non-immunological drug repurposing includes strategies to reduce haemodynamic overload, podocyte injury and kidney fibrosis. Recommended strategies to expand drug-repurposing capacity in glomerular disease include enriching drug databases with glomeruli-specific information, enhancing the accessibility of primary clinical trial data, biomarker discovery to improve participant selection into clinical trials and improve surrogate outcomes and initiatives to reduce patent, regulatory and organizational hurdles.

Intravenous levetiracetam versus intravenous phenytoin as second Line treatment in pediatric convulsive status epilepticus- open label randomized controlled trial.

Benzodiazepines (BZDs) are recommended as the initial therapy of choice in status epilepticus (SE). The age-old second-line treatment for BZD refractory convulsive SE is intravenous phenytoin (PHT) based predominantly on nonrandomized clinical trial data. We did this study to compare the efficacy and safety of intravenous levetiracetam (LEV) and PHT as second-line antiseizure medication (ASM) for children with SE. A prospective, randomized controlled, open-label study was conducted in children 3 months to 15 years of age with SE in Pediatric Emergency. A total of 41 children were randomly allocated to either group 1 (Levetiracetam) or group 2 (Phenytoin) on the basis of computer-generated randomization. Children who were already on antiseizure medications, either LEV or PHT, or receiving these drugs outside for SE were excluded. Data analysis was done by SPSS V25. The most common age group presenting with SE was 12 months to 5 years. Clinical cessation of seizure 5 minutes after the completion of drugs was 85% (17/20) in Levetiracetam group and 90.5% (19/21) in Phenytoin group. Recurrence of seizure within 24 hours was noted in 35% (7/20) in Levetiracetam group and 38.1% (8/21) in Phenytoin group. There was no statistically significant difference noted in both the groups in terms of seizure cessation, adverse events, and recurrence. The efficacy and safety of LEV were found to be comparable to those of PHT in controlling seizure as second-line ASM in SE.

Natural Products Have Increased Rates of Clinical Trial Success throughout the Drug Development Process.

Natural products (NPs) or their derivatives represent a large proportion of drugs that successfully progress through clinical trials to approval. This study explores the presence of NPs in both early- and late-stage drug discovery to determine their success rate, and the factors or features of natural products that contribute to such success. As a proxy for early drug development stages, we analyzed patent applications over several decades, finding a consistent proportion of NP, NP-derived, and synthetic-compound-based patent documents, with the latter group outnumbering NP and NP-derived ones (approximately 77% vs 23%). We next assessed clinical trial data, where we observed a steady increase in NP and NP-derived compounds from clinical trial phases I to III (from approximately 35% in phase I to 45% in phase III), with an inverse trend observed in synthetics (from approximately 65% in phase I to 55% in phase III). Finally, in vitro and in silico toxicity studies revealed that NPs and their derivatives were less toxic alternatives to their synthetic counterparts. These discoveries offer valuable insights for successful NP-based drug development, highlighting the potential benefits of prioritizing NPs and their derivatives as starting points.

Is the Epworth Sleepiness scale a valid outcome measure to evaluate the effectiveness of positive airway pressure treatments on daytime sleepiness? Psychometric insights from measurement invariance and response shifts.

Although the validity of the Epworth Sleepiness Scale (ESS) as an effectiveness measure for sleep apnea treatments such as continuous positive airway pressure (CPAP) has been supported by multiple studies, some researchers continue to challenge it. They suggest that in addition to its impact on relieving patients' daytime sleepiness, CPAP also alters the internal standards patients use to evaluate their sleepiness (i.e., response shift; RS), confounding the meaning of the difference in the ESS scores. We believe an issue yet to be addressed in this debate is that all existing evidence of RS has been obtained through the then-test approach, a retrospective method sensitive to various cognitive mechanisms. Thus, in the current study, we re-examined this issue using the structural equation modeling (SEM) approach, a method that can be directly applied to randomized clinical trial (RCT) data without retrospective measures. With the ESS data from two independent RCTs, we conducted cross-sectional and longitudinal measure invariance tests in SEM to examine whether CPAP would lead to RS. The ESS demonstrated cross-sectional and longitudinal scalar invariance against CPAP treatments. Its factorial pattern, loadings, and thresholds were invariant between the treatment and control groups and pre- and post-treatment, supporting the comparability of the observed mean ESS scores across time and groups. Our results support the validity of the average difference scores of the ESS for quantifying the effectiveness of CPAP on group-level daytime sleepiness in RCTs with relatively large sample sizes.

Contribution of Clinical Trial Event Data by Data Source

Pragmatic randomized clinical trials (RCTs) often use multiple data sources to examine clinical events, but the relative contribution of data sources to clinical end-point rates is understudied. To assess the contribution of data sources (electronic health records [EHRs], public/private insurance claims, and/or participant-reported data) to clinical end points among ADAPTABLE participants who had available data. The ADAPTABLE study was an open-label, pragmatic RCT from April 2016 through June 2019 conducted in research networks within clinical practice. Participants had existing atherosclerotic cardiovascular disease and available data to analyze. The characteristics of patients by combinations of data source availability were compared to examine the contribution of each of the data sources to end-point ascertainment. Data for this prespecified analysis were examined from January 2022 to June 2023. Randomized exposure to 81 mg or 325 mg of aspirin daily. Number of events for the primary end point (composite of death, hospitalization for myocardial infarction, and hospitalization for stroke) that were contributed by EHR or claims data and then number of events contributed by each additional data source. Of 15 006 participants randomized with at least 1 other source of data available beyond participant-reported data, there were 8756 (58.3%) with participant-reported and EHR data; 4291 (28.6%) with participant-reported, EHR, and claims data; 1412 (9.4%) with EHR-only data; 262 (1.7%) with participant-reported and claims data; 202 (1.3%) with EHR and claims data; and 83 (0.6%) with claims-only data. Participants with EHR-only data were younger (median age, 63.7 years; IQR, 55.8-71.4) compared with the other groups (range, 65.6-71.9 years). Among participants with both EHR and claims data, with or without participant-reported data (n = 4493), for each outcome, most events (92%-100%) were identified in the EHR or in claims data. For all clinical end points, participant-reported data contributed less than 10% of events not otherwise available from claims or EHR data. In this analysis of a pragmatic RCT, claims and EHR data provided the most clinical end-point data when compared with participant-reported events. These findings provide a framework for collecting end points in pragmatic clinical trials. Further work is needed to understand the data source combinations that most effectively provide clinical end-point data in RCTs.

Efficacy of Deucravacitinib, an Oral, Selective, Allosteric Tyrosine Kinase 2 (TYK2) Inhibitor, in Scalp Psoriasis by Baseline Psoriasis Area and Severity Index (PASI) and Baseline Body Surface Area (BSA): A Subanalysis of the Phase 3 Clinical Trial Data

Introduction: Deucravacitinib, an oral, selective, allosteric TYK2 inhibitor, is approved in the US, EU, and other countries for treatment of adults with moderate to severe plaque psoriasis who are candidates for systemic therapy. Deucravacitinib was effective and well tolerated in the global, 52-week, phase 3 POETYK PSO-1 (NCT03624127) and POETYK PSO-2 (NCT03611751) trials. Here, efficacy of deucravacitinib in scalp psoriasis was evaluated by baseline severity of psoriasis in the trial patients with scalp involvement. Methods: Patients with moderate to severe scalp involvement (scalp-specific Physician Global Assessment [ss-PGA] ≥3) at baseline were included in this analysis. Efficacy outcomes (ss-PGA 0/1 and Psoriasis Scalp Severity Index [PSSI] 90) were reported through Week 24 (pooled PSO-1/PSO-2, before PSO-2 rerandomization, n=514) and Week 52 (PSO-1, continuous deucravacitinib treatment, n=192). Outcomes were stratified by baseline PASI score 12-<15 (low) or ≥15 (high) and baseline BSA involvement 10%-≤15% (low) or >15% (high). Results: ss-PGA 0/1 response rates were high and slightly greater in the high versus low PASI subgroup at Week 24 (65.8% and 58.3%, respectively) and Week 52 (73.5% and 60.0%). Similarly, PSSI 90 response rates were high and also somewhat greater in the high versus low PASI subgroup at Week 24 (55.3% and 45.8%) and Week 52 (66.0% and 53.3%). Across the 2 baseline BSA subgroups, ss-PGA 0/1 and PSSI 90 response rates were comparable at Weeks 24 and 52. Conclusion: Deucravacitinib treatment was effective in patients with scalp involvement in psoriasis regardless of overall baseline disease severity.

ASO Author Reflections: Extreme Early Adoption-The Omission of Axillary Lymph Node Dissection is Being Adopted into Practice Before Clinical Trial Data are Available: Where Might this Lead?

ASO Author Reflections: Extreme Early Adoption-The Omission of Axillary Lymph Node Dissection is Being Adopted into Practice Before Clinical Trial Data are Available: Where Might this Lead?

Mitigating infection risks: The promise and challenge of bispecific antibodies in haematological malignancies.

Bispecific antibodies have shown significant clinical efficacy in patients with relapsed/refractory B-cell non-Hodgkin lymphomas and multiple myeloma, expanding treatment options for these patients. While these advancements are promising, it is important to be aware of associated side effects, such as cytokine release syndrome, neutropenia and infections. Gonugunta etal. provide valuable insights into the infection risks linked to the use of bispecific antibodies in haematological malignancies, drawing on both clinical trial data and real-world experiences. Commentary on: Gonugunta etal. Risk of infections with bispecific antibodies in B-cell non-Hodgkin lymphomas and multiple myeloma-The current state. Br J Haematol 2024 (Online ahead of print). doi: 10.1111/bjh.19633.

Efficacy of netakimab in patients with psoriasis and disease duration up to 1 year: implementation of a strategy for early prescription of genetic engineering biological therapy

Currently, in actual clinical practice, there is an increasing consensus that early administration of a biologically active drug not only prevents the progression of the pathological process in the skin, but also prevents the development of psoriatic arthritis, and also has a beneficial effect on comorbid pathologies and complications associated with systemic inflammation. Early treatment can modify the course of the disease and prevent not only the development of severe forms and disability, but also stop the progression of psoriasis, taking into account all stages of pathogenesis. In this aspect, the prescription of IL-17A blockers is justified.Material and methods. The study included a total of 16 patients aged 18–35 years with a period of manifestation of skin psoriasis <1 year, who received netakimab at a dosage of 120 mg subcutaneously at 0, 1, 2 weeks and then 120 mg every month for 52 weeks.Results. By week 4, 68.75% (n=11) of patients achieved PASI 75, 37.5 % (n=6) PASI90 and 18.75% (n=3) PASI100. By week 8, delta PASI75 was observed in 87.5% (n=14) of patients, 68.75% (n=11) – PASI90 and 50% (n=8) – PASI100. By week 24, 100% (n=16) of patients achieved PASI75,81.25% (n=13) – PASI90 and 68.75% (n=11) – PASI100. By week 52, PASI75 delta was observed in 100% (n=16) patients, 100% (n=16) had PASI90 and 87.5% (n=14) had PASI100.Conclusions. Patients with a shorter duration of the disease (up to 1 year) during netakimab therapy achieve PASI75, PASI90, PASI100 in a shorter time (comparison with clinical trial data). In the presence of factors for the aggressive course of psoriasis (rapid progression of the process, widespread process upon manifestation, lack of effect from topical therapy, constantly progressive course, risk factors for PsA, subclinical course of PsA), early prescription of genetic engineering biological therapy (netakimab) should be considered as the most appropriate strategy.

Population Pharmacokinetic Modeling of Adavosertib (AZD1775) in Patients with Solid Tumors.

Adavosertib (AZD1775) is a potent small-molecule inhibitor of Wee1 kinase. This analysis utilized pharmacokinetic data from 8 Phase I/II studies of adavosertib to characterize the population pharmacokinetics of adavosertib in patients (n = 538) with solid tumors and evaluate the impact of covariates on exposure. A nonlinear mixed-effects modeling approach was employed to estimate population and individual parameters from the clinical trial data. The model for time dependency of apparent clearance (CL) was developed in a stepwise manner and the final model validated by visual predictive checks (VPCs). Using an adavosertib dose of 300 mg once daily on a 5 days on/2 days off dosing schedule given 2 weeks out of a 3-week cycle, simulation analyses evaluated the impact of covariates on the following exposure metrics at steady state: maximum concentration during a 21-day cycle, area under the curve (AUC) during a 21-day cycle, AUC during the second week of a treatment cycle, and AUC on day 12 of a treatment cycle. The final model was a linear 2-compartment model with lag time into the dosing compartment and first-order absorption into the central compartment, time-varying CL, and random effects on all model parameters. VPCs and steady-state observations confirmed that the final model satisfied all the requirements for reliable simulation of randomly sampled Phase I and II populations with different covariate characteristics. Simulation-based analyses revealed that body weight, renal impairment status, and race were key factors determining the variability of drug-exposure metrics.

Cytarabine dose intensification improves survival in older patients with secondary/high-risk acute myeloid leukemia in matched real-world versus clinical trial data

Since 1980’s, the established/standard treatment of acute myeloid leukemia (AML) is cytarabine infusion with anthracycline (7 + 3 regimen). We compared the 7 + 3 regimen in older secondary/high-risk AML patients from a clinical trial with a matched population from the Swedish AML Registry treated with an increased cytarabine dose in induction and consolidation as recommended in the Swedish National Guidelines since 2005. After successful propensity score matching, 104 patients per group were included. The primary outcome was overall survival (OS), and standard dosed patients had a median OS of 6.4 versus 10.7 months with increased dose intensity (hazard ratio: 0.69, p = 0.012), with 5-year OS of 8.7% and 18.1%, and remission rates of 36% and 60%, respectively (p < 0.001). Median OS after allogeneic hematopoietic cell transplantation (in 27.9% per group) was 10.4 and 20.7 months, respectively. We conclude that the more intensive cytarabine schedule seems to provide improved outcomes inthe investigated AML patient group.

Anti-IL23/12 agents and JAK inhibitors for inflammatory bowel disease.

IBD (inflammatory bowel disease) is a chronic inflammatory disease of the gastrointestinal tract with increasing incidence worldwide. Multiple factors, such as genetic background, environmental and luminal factors, and mucosal immune dysregulation, have been implicated in the cause of IBD, although the cause of the disease remains unknown. IL-12 and IL-23 and their downstream signaling pathways participate in the pathogenesis of inflammatory bowel disease. Early and aggressive treatment with biologic therapies or novel small molecules is needed to decrease complications and the need for hospitalization and surgery. The landscape of inflammatory bowel disease (IBD) treatment has tremendously improved with the development of biologics and small molecule drugs. Several novel biologics and small molecule drugs targeting IL-12 and IL-23 and their downstream targets have shown positive efficacy and safety data in clinical trials, and several drugs have been approved for the treatment of IBD. In the future, numerous potential emerging therapeutic options for IBD treatment are believed to come to the fore, achieving disease cure.

Ethical framework for FACILITATE: a foundation for the return of clinical trial data to participants.

This paper discusses the importance of return of clinical trial data to patients in the context of the FACILITATE project that aims to develop a participant-centric approach for the systematic return of individual clinical trial data. It reflects on the need for an ethical framework to support the return of clinical trial data. The discussion revolves around the developing FACILITATE ethical framework, specifically focusing on the ethical principles that form the foundation of the framework and guidance on how to implement those principles into practice.