Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2018 Jan;46 Suppl 1(Suppl 1):S53-S56.
doi: 10.1016/j.parkreldis.2017.07.022. Epub 2017 Jul 26.

Integration of technology-based outcome measures in clinical trials of Parkinson and other neurodegenerative diseases

Affiliations
Review

Integration of technology-based outcome measures in clinical trials of Parkinson and other neurodegenerative diseases

Carlo Alberto Artusi et al. Parkinsonism Relat Disord. 2018 Jan.

Abstract

Introduction: We sought to review the landscape of past, present, and future use of technology-based outcome measures (TOMs) in clinical trials of neurodegenerative disorders.

Methods: We systematically reviewed PubMed and ClinicalTrials.gov for published and ongoing clinical trials in neurodegenerative disorders employing TOMs. In addition, medical directors of selected pharmaceutical companies were surveyed on their companies' ongoing efforts and future plans to integrate TOMs in clinical trials as primary, secondary, or exploratory endpoints.

Results: We identified 164 published clinical trials indexed in PubMed that used TOMs as outcome measures in Parkinson disease (n = 132) or other neurodegenerative disorders (n = 32). The ClinicalTrials.gov search yielded 42 clinical trials using TOMs, representing 2.7% of ongoing trials. Sensor-based technology accounted for over 75% of TOMs applied. Gait and physical activity were the most common targeted domains. Within the next 5 years, 83% of surveyed pharmaceutical companies engaged in neurodegenerative disorders plan to deploy TOMs in clinical trials.

Conclusion: Although promising, TOMs are underutilized in clinical trials of neurodegenerative disorders. Validating relevant endpoints, standardizing measures and procedures, establishing a single platform for integration of data and algorithms from different devices, and facilitating regulatory approvals should advance TOMs integration into clinical trials.

Keywords: Alzheimer disease; Amyotrophic lateral sclerosis; Neurodegenerative; Parkinson disease; Technology; Technology-based objective measures.

PubMed Disclaimer

Figures

Fig. 1.
Fig. 1.. Published clinical trials integrating technology-based outcome measures.
Total number of clinical trials employing technology-based outcome measure: Parkinson disease (n = 132); Alzheimer disease (n = 19); Huntington disease (n = 3); Amyotrophic lateral sclerosis (n = 2); Spinocerebellar ataxia (n = 2), mild cognitive impairment (n = 2), Lewy bodies dementia (n = 1), Friedreich’s ataxia (n = 1), Hereditary spastic paraparesis (n = 1), and Progressive supranuclear palsy (n = 1).
Fig. 2.
Fig. 2.. Ongoing clinical trials integrating technology-based primary, secondary, or exploratory outcome measures.
Data extracted from Clinicaltrials.gov up to June 2017.
Fig. 3.
Fig. 3.
Type of technology-based outcome measure and functional domain assessed.

References

    1. Chan PH, Wong CK, Pun L, Wong YF, Wong MM, Chu DW, Siu CW, Diagnostic performance of an automatic blood pressure measurement device, Microlife WatchBP Home A, for atrial fibrillation screening in a real-world primary care setting, BMJ Open 7 (2017) e013685. - PMC - PubMed
    1. Espay AJ, Bonato P, Nahab FB, Maetzler W, Dean JM, Klucken J, Eskofier BM, Merola A, Horak F, Lang AE, Reilmann R, Giuffrida J, Nieuwboer A, Horne M, Little MA, Litvan I, Simuni T, Dorsey ER, Burack MA, Kubota K, Kamondi A, Godinho C, Daneault JF, Mitsi G, Krinke L, Hausdorff JM, Bloem BR, Papapetropoulos S, Movement disorders society task force on technology, technology in Parkinson’s disease: challenges and opportunities, Mov. Disord. 31 (2016) 1272–1282. - PMC - PubMed
    1. Ozinga SJ, Machado AG, Miller Koop M, Rosenfeldt AB, Alberts JL, Objective assessment of postural stability in Parkinson’s disease using mobile technology, Mov. Disord. 30 (2015) 1214–1221. - PubMed
    1. Horak FB, Mancini M, Objective biomarkers of balance and gait for Parkinson’s disease using body-worn sensors, Mov. Disord. 28 (2013) 1544–1551. - PMC - PubMed
    1. Mariani B, Jimenez MC, Vingerhoets FJ, Aminian K, On-shoe wearable sensors for gait and turning assessment of patients with Parkinson’s disease, IEEE Trans. Biomed. Eng. 60 (2013) 155–158. - PubMed

MeSH terms

LinkOut - more resources