Evidence map›Paper›PMID 39224386›Full record

ArticleHeliyon2024

A comprehensive survey of the clinical trial Landscape on digital therapeutics.

Han Yao, Zirui Liao, Xinyi Zhang, Xiaoke Zhang, Mengyu Li, Lili You, Yuanli Liu

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

7 authors.

Han YaoSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Zirui LiaoNational Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, Shenzhen, Guangdong Province, 518112, China.
Xinyi ZhangSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Xiaoke ZhangSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Mengyu LiSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Lili YouSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Yuanli LiuSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital therapeutics (DTx) is an emerging and groundbreaking medical intervention that utilizes health software to treat or alleviate various diseases, disorders, conditions, or injuries. Although the potential of digital therapy is enormous, it is still in its nascent stage and faces multiple challenges and obstacles. The purpose of this study is to provide an overview of all DTx-related clinical trials in ClinicalTrials.gov and to promote the advancement of DTx. Methods: Two reviewers and one expert evaluated data from all DTx clinical trials on ClinicalTrials.gov as of August 8, 2023. Trials utilizing digital therapeutics independently or in combination with traditional approaches were included. Incomplete trials and those lacking an evidence-based foundation were excluded. Basic information about product launches and primary outcome measures was extracted and analyzed. Results: A total of 280 eligible trials were categorized into treating a disease (141, 50.4 %), managing a disease (120, 42.9 %), and improving a health function (19, 6.8 %). The focus was primarily on mental and behavioral disorders, neurological disorders, and endocrine, nutritional, and metabolic disorders. The number of trials has been increasing annually, yet trial design and conduct remain inconsistent. Randomized controlled trials (RCTs) accounted for 67.5 % of completed trials, and 36 trials (12.9 %) involved products already approved for marketing. Conclusions: The growth in clinical studies on DTx underscores their potential in healthcare. However, challenges persist in standardization, regulation, and clinical efficacy. There is a need for a harmonized global classification of digital therapeutics and standardized clinical trial protocols to ensure efficacy and improve healthcare services.

Indexed as

Clinical studiesDigital healthDigital therapeuticsTechnological development

Identifiers

PMID39224386
PMCPMC11366857

What OpenQuestion holds

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LicenceCC BY-NC
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.