Evidence map›Paper›PMID 36669937›Full record

ReviewMayo Clinic proceedings2023

The Digitization and Decentralization of Clinical Trials.

David M Harmon, Peter A Noseworthy, Xiaoxi Yao

Abstract readReview
In one paragraph

Review in Mayo Clinic proceedings, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. A Pilot Study of the Home-Based 12-Lead Electrocardiogram in Clinical Practice.Mayo Clinic proceedings. Innovations, quality & outcomes · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Digital Solutions Observed in Clinical Trials: A Formative Feasibility Scoping Review.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

David M HarmonDepartment of Internal Medicine, Mayo Clinic School of Graduate Medical Education, Mayo Clinic, Rochester, MN, USA; Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA. Electronic address: Harmon.david@mayo.edu.
Peter A NoseworthyDepartment of Cardiovascular Medicine, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA.
Xiaoxi YaoDepartment of Cardiovascular Medicine, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.

Funding

Shared decision making for stroke prevention in atrial fibrillation (SDM4Afib)R01HL131535 · NHLBI · MAYO CLINIC ROCHESTER · PI MONTORI, VICTOR MANUEL · 2016 to 2020
$3.2M
Influence of genetic variation on QT prolongation over the lifecourse and as a cardiotoxic drug responseR01HL143070 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI NEWTON-CHEH, CHRISTOPHER HOLMES · 2018 to 2021
$3.0M
Optimizing stroke prevention for older adults with atrial fibrillation: Towards rigorous evaluation and judicious application of a new deviceR01AG062436 · NIA · MAYO CLINIC ROCHESTER · PI NOSEWORTHY, PETER A, YAO, XIAOXI · 2020 to 2024
$2.5M
Mayo Clinic StARR ProgramR38HL150086 · NHLBI · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC, KARL A. NATH · 2020 to 2026
$2.5M
Multimorbidity, Rurality, and Outcomes in Atrial Fibrillation in the CommunityR21AG062580 · NIA · MAYO CLINIC ROCHESTER · PI CHAMBERLAIN, ALANNA M · 2019 to 2020
$451k
NHLBI NIH HHS R01 HL131535NHLBI NIH HHS R01 HL143070NHLBI NIH HHS R38 HL150086NIA NIH HHS R01 AG062436NIA NIH HHS R21 AG062580
6 · The paper itself

Abstract

Now, more than ever, digital technology has made its way into the daily lives of billions across the globe, and the widespread use of this technology has also allowed a digital window into consumers' and patients' daily lives, respectively. In a similar way, the practice of medicine has digitally evolved with the application of electronic health records and development of wearable/portable consumer-based medical devices (eg, Apple Watch ECG and Kardia Mobile by AliveCor). Alongside the increased use of digital technology in clinical care (eg, telehealth and wearable arrhythmia detection), clinical investigators have harnessed this powerful stockpile of data to gain insight into what happens to patients beyond the clinic walls. In this thematic review, we show the impact of digital advancements on the clinical trial process from recruitment and enrollment to interventions and data collection. We also show the pragmatism of this decentralized process and how it will mitigate the limitations of conventional randomized controlled trials. Finally, while pushing the boundaries of tech, we also describe a few limitations of this rapidly growing field to understand better what gaps need to be bridged in the future.

Indexed as

Clinical Trials as TopicForecastingHumansTelemedicineWearable Electronic Devices

Identifiers

PMID36669937
PMCPMC12056663

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.