scholarly journals A Descriptive Review of Global Real World Evidence Efforts to Advance Drug Discovery and Clinical Development in Amyotrophic Lateral Sclerosis

2021 ◽  
Vol 12 ◽  
Author(s):  
Suzanne F. Cook ◽  
Thomas Rhodes ◽  
Courtney Schlusser ◽  
Steve Han ◽  
Chao Chen ◽  
...  

Understanding patient clinical progression is a key gateway to planning effective clinical trials and ultimately enabling bringing treatments to patients in need. In a rare disease like amyotrophic lateral sclerosis (ALS), studies of disease natural history critically depend on collaboration between clinical centers, regions, and countries to enable creation of platforms to allow patients, caregivers, clinicians, and researchers to come together and more fully understand the condition. Rare disease registries and collaborative platforms such as those developed in ALS collect real-world data (RWD) in standardized formats, including clinical and biological specimen data used to evaluate risk factors and natural history of disease, treatment patterns and clinical (ClinROs) and patient- reported outcomes (PROs) and validate novel endpoints. Importantly, these data support the development of new therapeutics by supporting the evaluation of feasibility and design of clinical trials and offer valuable information on real-world disease trajectory and outcomes outside of the clinical trial setting for comparative purposes. RWD may help to accelerate therapy development by identifying and validating outcome measures and disease subpopulations. RWD can also make potential contributions to the evaluation of the safety and effectiveness of new indications for approved products and to satisfy post-approval regulatory and market access requirements. There is a lack of amalgamated information on available registries, databases, and other sources of real-world data on ALS; thus, a global review of all available resources was warranted. This targeted review identifies and describes ALS registries, biobanks and collaborative research networks that are collecting and synthesizing RWD for the purposes of increasing patient awareness and advancing scientific knowledge with the hope of expediting future development of new therapies.

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 5045-5045
Author(s):  
Michael Wang ◽  
Beng Fuh ◽  
Philip Maes ◽  
Maria Eva Mingot-Castellano ◽  
Rubén Berrueco ◽  
...  

Abstract BACKGROUND: BAY 81-8973 (Kovaltry®, Bayer) is an unmodified full-length recombinant FVIII indicated for prophylaxis and treatment of bleeds in patients with hemophilia A; BAY 81-8973 was launched in 2016 and has since accumulated 6765 patient-years of exposure. The TAURUS study (NCT02830477) was established to investigate BAY 81-8973 prophylaxis dosing regimens chosen in clinical practice and confirm the established safety and efficacy results from the LEOPOLD clinical trials in a real world setting. OBJECTIVES: To analyse the proportion of patients on specific BAY 81-8973 prophylaxis regimens, bleeds, and patient-reported outcomes at baseline and most recent follow-up. METHODS: TAURUS is an international, open label, prospective, non-interventional, single arm study with a target recruitment of 350 previously treated patients with hemophilia A of all ages with moderate or severe hemophilia A (≤ 5% FVIII:C) with ≥ 50 exposure days to any FVIII product who have been switched to prophylaxis with BAY 81-8973. At baseline, physicians document clinical information including age, BMI, severity of hemophilia, number of target joints, prior treatment regimen, bleed history, inhibitor history, and reason for choosing a specific prophylaxis regimen. Patients/caregivers reported bleeds in ongoing patient diaries, and completed questionnaires on treatment satisfaction (HEMOSAT) and adherence (VERITAS-PRO) at baseline and follow-up. A scheduled interim analysis (30% of patients recruited) was conducted with data collected up to 2 July 2018. RESULTS: At the cut-off, 160 enrolled patients were included in the baseline analysis set, of whom 89 had ≥ 6 months of follow-up data available (median observation period 201 days), 33% of whom had completed one year of the study. Median (range) patient age was 22 (2‒69) years, time since diagnosis was 15 (0.5‒64) years, and most patients (76/89, 85%) had baseline FVIII level of <1%. Treatment assignments are shown in the table. All patients had received pre-study prophylaxis, for a median of 15 years, with 66% of patients using rFVIII-FS as their most recent FVIII treatment prior to BAY 81-8973. Most (91%) had been treated with BAY 81-8973 for <3 months prior to study entry. Pre-study, 72% of patients were treated ≥3 times per week (xW). At baseline, most patients (59%) were assigned treatment ≥3xW (every day, 1%; every other day, 16%; 3xW, 41%). The majority remained on their previous regimen (78% on ≤2xW and 97% on ≥3xW); any changes were mainly a reduction in frequency on BAY 81-8973 vs previous treatment (22%), with only 2% increasing frequency on BAY 81-8973. At last follow up, most patients remained on the same regimen: 60% on ≥3xW (≥ every other day, 17%; 3xW, 42%). Most patients (92%) did not alter their dosing frequency. Of the 8% who changed dosing frequency, the majority (6 patients) changed from ≥3xW to ≤2xW; 1 patient changed from ≤2xW to ≥3xW. The median prescribed weekly dose was 52 IU/kg (64 IU/kg for ≥3xW and 43 IU/kg for ≤2xW) on study, slightly lower than those with previous product: 56 IU/Kg overall, 64 IU/kg for ≥3xW and 50 IU/kg for ≤2xW. Median (Q1; Q3) patient diary-reported annualized joint bleed rates were 1.5 (0.0; 5.3), 1.2 (0.0; 5.3) and 1.4 (0.0; 6.1); for ≤2xW, ≥3xW, and all patients, respectively. HEMO-SAT and VERITAS-PRO data will be presented in the poster. No recruited patients developed inhibitors with BAY 81-8973. CONCLUSIONS: These real-world data from 89 patients show that the range of dosing options available for BAY 81-8973 allowed the majority of patients to become established quickly on this treatment upon switching. In the few instances where patients changed dosing frequency either upon switching to BAY 81-8973 or once established on treatment, most moved to less frequent treatment. Joint bleeding rates confirm and extend findings from the clinical trials and speak to effective bleeding prophylaxis with BAY 81-8973 in a real-world setting. Therefore, BAY 81-8973 treatment may be successfully individualized according to patient need and disease characteristics. Disclosures Wang: Terumo BCT: Other: CPC Clinical Research; CSL Behring: Consultancy; Bayer, Bioverative, Novo Nordisk, Octapharma, Shire, Genentech, Biomarain, Pfizer, CSL Behring, HEMA Biologics, Daiichi Sankyo: Research Funding; Bayer: Consultancy; Bayer, Novo Nordisk, Octapharma, Genentech, HEMA Biologics, Shire, CSL Behring: Honoraria; Novo Nordisk: Consultancy. Maes:Bayer: Honoraria. Rauchensteiner:Bayer: Employment.


Author(s):  
Scott R. Evans ◽  
Dianne Paraoan ◽  
Jane Perlmutter ◽  
Sudha R. Raman ◽  
John J. Sheehan ◽  
...  

AbstractThe growing availability of real-world data (RWD) creates opportunities for new evidence generation and improved efficiency across the research enterprise. To varying degrees, sponsors now regularly use RWD to make data-driven decisions about trial feasibility, based on assessment of eligibility criteria for planned clinical trials. Increasingly, RWD are being used to support targeted, timely, and personalized outreach to potential trial participants that may improve the efficiency and effectiveness of the recruitment process. This paper highlights recommendations and resources, including specific case studies, developed by the Clinical Trials Transformation Initiative (CTTI) for applying RWD to planning eligibility criteria and recruiting for clinical trials. Developed through a multi-stakeholder, consensus- and evidence-driven process, these actionable tools support researchers in (1) determining whether RWD are fit for purpose with respect to study planning and recruitment, (2) engaging cross-functional teams in the use of RWD for study planning and recruitment, and (3) understanding patient and site needs to develop successful and patient-centric approaches to RWD-supported recruitment. Future considerations for the use of RWD are explored, including ensuring full patient understanding of data use and developing global datasets.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Hao Sen Andrew Fang ◽  
Qiao Gao ◽  
Mong Li Lee ◽  
Wynne Hsu ◽  
Ngiap Chuan Tan

Abstract Background Clinical trials have demonstrated that either initiating or up-titrating a statin dose substantially reduce Low-Density Lipoprotein-Cholesterol (LDL-C) levels. However, statin adherence in actual practice tends to be suboptimal, leading to diminished effectiveness. This study aims to use real-world data to determine the effect on LDL-C levels and LDL-C goal attainment rates, when selected statins are titrated in Asian patients. Methods A retrospective cohort study over a 5-year period, from April 2014 to March 2019 was conducted on a cohort of multi-ethnic adult Asian patients with clinical diagnosis of Dyslipidaemia in a primary care clinic in Singapore. The statins were classified into low-intensity (LI), moderate-intensity (MI) and high-intensity (HI) groups according to the 2018 American College of Cardiology and American Heart Association (ACC/AHA) Blood Cholesterol Guidelines. Patients were grouped into “No statin”, “Non-titrators” and “Titrators” cohorts based on prescribing patterns. For the “Titrators” cohort, the mean percentage change in LDL-C and absolute change in LDL-C goal attainment rates were computed for each permutation of statin intensity titration. Results Among the cohort of 11,499 patients, with a total of 266,762 visits, there were 1962 pairs of LDL-C values associated with a statin titration. Initiation of LI, MI and HI statin resulted in a lowering of LDL-C by 21.6% (95%CI = 18.9–24.3%), 28.9% (95%CI = 25.0–32.7%) and 25.2% (95%CI = 12.8–37.7%) respectively. These were comparatively lower than results from clinical trials (30 to 63%). The change of LDL-C levels due to up-titration, down-titration, and discontinuation were − 12.4% to − 28.9%, + 13.2% to + 24.6%, and + 18.1% to + 32.1% respectively. The improvement in LDL-C goal attainment ranged from 26.5% to 47.1% when statin intensity was up-titrated. Conclusion In this study based on real-world data of Asian patients in primary care, it was shown that although statin titration substantially affected LDL-C levels and LDL-C goal attainment rates, the magnitude was lower than results reported from clinical trials. These results should be taken into consideration and provide further insight to clinicians when making statin adjustment recommendations in order to achieve LDL-C targets in clinical practice, particularly for Asian populations.


2020 ◽  
Author(s):  
Daphna Laifenfeld ◽  
Chen Yanover ◽  
Michal Ozery-Flato ◽  
Oded Shaham ◽  
Michal Rozen-Zvi ◽  
...  

AbstractReal-world healthcare data hold the potential to identify therapeutic solutions for progressive diseases by efficiently pinpointing safe and efficacious repurposing drug candidates. This approach circumvents key early clinical development challenges, particularly relevant for neurological diseases, concordant with the vision of the 21stCentury Cures Act. However, to-date, these data have been utilized mainly for confirmatory purposes rather than as drug discovery engines. Here, we demonstrate the usefulness of real-world data in identifying drug repurposing candidates for disease-modifying effects, specifically candidate marketed drugs that exhibit beneficial effects on Parkinson’s disease (PD) progression. We performed an observational study in cohorts of ascertained PD patients extracted from two large medical databases, Explorys SuperMart (N=88,867) and IBM MarketScan Research Databases (N=106,395); and applied two conceptually different, well-established causal inference methods to estimate the effect of hundreds of drugs on delaying dementia onset as a proxy for slowing PD progression. Using this approach, we identified two drugs that manifested significant beneficial effects on PD progression in both datasets: rasagiline, narrowly indicated for PD motor symptoms; and zolpidem, a psycholeptic. Each confers its effects through distinct mechanisms, which we explored via a comparison of estimated effects within the drug classification ontology. We conclude that analysis of observational healthcare data, emulating otherwise costly, large, and lengthy clinical trials, can highlight promising repurposing candidates, to be validated in prospective registration trials, for common, late-onset progressive diseases for which disease-modifying therapeutic solutions are scarce.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 5074-5074
Author(s):  
Harshraj Leuva ◽  
Mengxi Zhou ◽  
Julia Wilkerson ◽  
Keith Sigel ◽  
Ta-Chueh Hsu ◽  
...  

5074 Background: Novel assessments of efficacy are needed to improve determination of treatment outcomes in clinical trials and in real-world settings. Methods: Cancer treatments usually lead to concurrent regression and growth of the drug-sensitive and drug-resistant fractions of a tumor, respectively. We have exploited novel methods of analysis that assess these two simultaneous processes and have estimated rates of tumor growth ( g) and regression ( d) in over 30,000 patients (pts) with diverse tumors. Results: In prostate cancer (PC) we have analyzed both clinical trial and real-world data from Veterans. Using clinical trial data from 6819 pts enrolled in 15 treatment arms we have established separately and by combining all the data that g correlates highly (p<0.0001) with overall survival (OS) – slower g associated with better OS. In PC, abiraterone (ABI) and docetaxel (DOC) are superior to placebo, prednisone and mitoxantrone. ABI (median g =0.0017) is superior to DOC ( g=0.0021) in first line (p=0.0013); and ABI in 2nd line ( g=0.0034) is inferior to ABI in 1st line ( g=0.0017; p<0.0001). Finally, using combined clinical trial data as a benchmark we could assess the efficacy of novel therapies in as few as 30-40 patients. Amongst 7457 Veterans, the median g on a taxane ( g=0.0022) was similar to that from clinical trials ( g=0.0012). Although only 258 Veterans received cabazitaxel (CAB), g values for CAB ( g=0.0018) and DOC ( g=0.0023) were indistinguishable (p=0.3) consistent with their identical mechanism of action. Finally, outcomes with DOC in African American (AA) ( g=0.00212) and Caucasian ( g=0.00205) Veterans were indistinguishable (p=0.9) and comparable across all VAMCs. Conclusions: The rate of tumor growth, g, is an excellent biomarker for OS both in clinical trials and in real-world settings. g allows comparisons between trials and for large trial data sets to be used as benchmarks of efficacy. Real-world outcomes in the VAMCs are similar to those in clinical trials. In the egalitarian VAMCs DOC efficacy in PC is comparable in AA and Caucasian Veterans -- indicating inferior outcomes reported in AAs are likely due to differential health care access, not differences in biology.


2017 ◽  
Vol 28 ◽  
pp. v518 ◽  
Author(s):  
A. Rider ◽  
S. Simpson ◽  
B. Bennett ◽  
K. Byrne ◽  
P. Hallworth ◽  
...  

2022 ◽  
Vol 11 ◽  
Author(s):  
Timothy A. Yap ◽  
Ira Jacobs ◽  
Elodie Baumfeld Andre ◽  
Lauren J. Lee ◽  
Darrin Beaupre ◽  
...  

Randomized controlled trials (RCTs) that assess overall survival are considered the “gold standard” when evaluating the efficacy and safety of a new oncology intervention. However, single-arm trials that use surrogate endpoints (e.g., objective response rate or duration of response) to evaluate clinical benefit have become the basis for accelerated or breakthrough regulatory approval of precision oncology drugs for cases where the target and research populations are relatively small. Interpretation of efficacy in single-arm trials can be challenging because such studies lack a standard-of-care comparator arm. Although an external control group can be based on data from other clinical trials, using an external control group based on data collected outside of a trial may not only offer an alternative to both RCTs and uncontrolled single-arm trials, but it may also help improve decision-making by study sponsors or regulatory authorities. Hence, leveraging real-world data (RWD) to construct external control arms in clinical trials that investigate the efficacy and safety of drug interventions in oncology has become a topic of interest. Herein, we review the benefits and challenges associated with the use of RWD to construct external control groups, and the relevance of RWD to early oncology drug development.


Sign in / Sign up

Export Citation Format

Share Document