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. 2022 Dec 21;24(12):e41042.
doi: 10.2196/41042.

Digital Biomarker-Based Interventions: Systematic Review of Systematic Reviews

Affiliations

Digital Biomarker-Based Interventions: Systematic Review of Systematic Reviews

Hossein Motahari-Nezhad et al. J Med Internet Res. .

Abstract

Background: The introduction of new medical technologies such as sensors has accelerated the process of collecting patient data for relevant clinical decisions, which has led to the introduction of a new technology known as digital biomarkers.

Objective: This study aims to assess the methodological quality and quality of evidence from meta-analyses of digital biomarker-based interventions.

Methods: This study follows the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guideline for reporting systematic reviews, including original English publications of systematic reviews reporting meta-analyses of clinical outcomes (efficacy and safety endpoints) of digital biomarker-based interventions compared with alternative interventions without digital biomarkers. Imaging or other technologies that do not measure objective physiological or behavioral data were excluded from this study. A literature search of PubMed and the Cochrane Library was conducted, limited to 2019-2020. The quality of the methodology and evidence synthesis of the meta-analyses were assessed using AMSTAR-2 (A Measurement Tool to Assess Systematic Reviews 2) and GRADE (Grading of Recommendations, Assessment, Development, and Evaluations), respectively. This study was funded by the National Research, Development and Innovation Fund of Hungary.

Results: A total of 25 studies with 91 reported outcomes were included in the final analysis; 1 (4%), 1 (4%), and 23 (92%) studies had high, low, and critically low methodologic quality, respectively. As many as 6 clinical outcomes (7%) had high-quality evidence and 80 outcomes (88%) had moderate-quality evidence; 5 outcomes (5%) were rated with a low level of certainty, mainly due to risk of bias (85/91, 93%), inconsistency (27/91, 30%), and imprecision (27/91, 30%). There is high-quality evidence of improvements in mortality, transplant risk, cardiac arrhythmia detection, and stroke incidence with cardiac devices, albeit with low reporting quality. High-quality reviews of pedometers reported moderate-quality evidence, including effects on physical activity and BMI. No reports with high-quality evidence and high methodological quality were found.

Conclusions: Researchers in this field should consider the AMSTAR-2 criteria and GRADE to produce high-quality studies in the future. In addition, patients, clinicians, and policymakers are advised to consider the results of this study before making clinical decisions regarding digital biomarkers to be informed of the degree of certainty of the various interventions investigated in this study. The results of this study should be considered with its limitations, such as the narrow time frame.

International registered report identifier (irrid): RR2-10.2196/28204.

Keywords: AMSTAR-2; GRADE; digital biomarker; digital devices; digital health; evidence synthesis; implantable; imprecision; methodological quality; publication bias; wearable.

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Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) diagram selecting/screening process.
Figure 2
Figure 2
Cardiovascular-related interventions, outcomes, and methodological and evidence synthesis quality. HF: heart failure; ICD: implantable cardiac defibrillator. A: Cardiac resynchronization therapy, Implantable cardiac defibrillator [52], B: Fragmented QRS (fQRS) [70], C: Implantable cardiac defibrillator [53,63,68,69], D: Implantable cardiac defibrillator, iPhone-based rhythm monitoring device, pacemakers [55], E: Impedance devices [51], F: Implantable cardiac monitor, Holter-Electrocardiogram [65], G: Metronome with a siren, HeartStart-MRx, Zoll AED, Cardio First AngelTM [56], H: Pressure sensors [51], I: Pressure sensors and Impedance devices (Cardio MEMS, RVP sensor, Chronicle, ICD- OptiVol, InSync Sentry, lung impedance) [51].
Figure 3
Figure 3
Activity trackers related to interventions, outcomes, and methodological and evidence synthesis quality. A: wristbands, smartwatches [54], B: Accelerometer, Dynaport MoveMonitor, Pedometer, Yamax Digi-walker CW700, ActivPal, ActiGraph, Personal Activity Monitor [67], C: Accelerometer, pedometer [60], D: Accelerometer, pedometers, Yamax, Fitbit [64], E: Accelerometer-based navigation system [66], F: wearable activity trackers (pedometer) [62], G: Activity monitor, portable tablet computers with touch screens, Fitbit, Jawbone UP24 wearable device, pedometer, accelerometer [59], H: Fitbit [57], I: Fitbit, Jawbone UP, Polar Active, Misfit Flash, Gruve Solution, LUMOback, BodyMedia Fit, SenseWear, ActiveLink, InBodyBand [47], J: Fitbit, Jawbone Up24, Combined heart rate monitor and accelerometer (Actiheart), Wrist-worn accelerometer, FIT Core, Body Media, Fitbug Orb, Polar FA20 accelerometer [49], K: Fitbit, Jawbone UP24, Gruve, LumoBack, Polar Active, Fitbug, Pebble+, Fitmeter, Personal Activity Monitor, Withings Pulse [46], L: Fitbit, Yorbody, AiperMotion [58], M: Garmin, Pedometer, Fitbit, Accelerometer, Yamax Digiwalker, Gex sensor of vital signs and smartphone [48], N: Pedometer [50], O: pedometer-based physical activity promotion [61], P: Pedometer physical activity promotion + pulmonary rehabilitation promotion [61].

References

    1. Califf RM. Biomarker definitions and their applications. Exp Biol Med (Maywood) 2018 Feb;243(3):213–221. doi: 10.1177/1535370217750088. https://europepmc.org/abstract/MED/29405771 - DOI - PMC - PubMed
    1. Babrak L, Menetski J, Rebhan M, Nisato G, Zinggeler M, Brasier N, Baerenfaller K, Brenzikofer T, Baltzer L, Vogler C, Gschwind L, Schneider C, Streiff F, Groenen P, Miho E. Traditional and Digital Biomarkers: Two Worlds Apart? Digit Biomark. 2019 Aug 16;3(2):92–102. doi: 10.1159/000502000. https://europepmc.org/abstract/MED/32095769 dib-0003-0092 - DOI - PMC - PubMed
    1. Coravos A, Khozin S, Mandl KD. Developing and adopting safe and effective digital biomarkers to improve patient outcomes. NPJ Digit Med. 2019;2(1):40. doi: 10.1038/s41746-019-0090-4. doi: 10.1038/s41746-019-0090-4. - DOI - DOI - PMC - PubMed
    1. Lipsmeier F, Taylor KI, Kilchenmann T, Wolf D, Scotland A, Schjodt-Eriksen J, Cheng W, Fernandez-Garcia I, Siebourg-Polster J, Jin L, Soto J, Verselis L, Boess F, Koller M, Grundman M, Monsch AU, Postuma RB, Ghosh A, Kremer T, Czech C, Gossens C, Lindemann M. Evaluation of smartphone-based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial. Mov Disord. 2018 Aug;33(8):1287–1297. doi: 10.1002/mds.27376. https://europepmc.org/abstract/MED/29701258 - DOI - PMC - PubMed
    1. Insel TR. Digital Phenotyping: Technology for a New Science of Behavior. JAMA. 2017 Oct 03;318(13):1215–1216. doi: 10.1001/jama.2017.11295.2654782 - DOI - PubMed

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