Evidence map›Paper›PMID 37476062›Full record

ReviewBioengineering & translational medicine2023

Digital therapeutics in the clinic.

Philana Phan, Samir Mitragotri, Zongmin Zhao

Abstract readReview
In one paragraph

Review in Bioengineering & translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
–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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
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  7. Article
  8. Article
  9. Review
  10. Diving into the Regulatory Landscape of Digital Therapeutics.Therapeutic innovation & regulatory science · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Innovations to improve outcomes and uptake of psychotherapies for mental disorders: a state-of-the-art review.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
    Article
  16. Review
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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.

Philana PhanDepartment of Pharmaceutical Sciences, College of Pharmacy University of Illinois Chicago Chicago Illinois USA.
Samir MitragotriJohn A. Paulson School of Engineering and Applied Sciences Harvard University Cambridge Massachusetts USA.ORCID https://orcid.org/0000-0002-2459-8305
Zongmin ZhaoDepartment of Pharmaceutical Sciences, College of Pharmacy University of Illinois Chicago Chicago Illinois USA.ORCID https://orcid.org/0000-0001-8979-844X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital therapeutics are emerging as a new form of therapeutic interventions. Unlike conventional therapeutics, digital therapeutics deliver interventions directly to patients using an evidence-based, clinically evaluated software to treat, manage, or prevent diseases. Digital therapeutics manifest in diverse forms such as web-based applications, mobile applications on smart devices, virtual reality, and video games. As its own product category for FDA approval, digital therapeutics can function as stand-alone treatments or in combination with conventional therapeutics to improve adherence and/or efficacy. Here, we review the clinical landscape of digital therapeutics. We summarize FDA-approved products and their clinical use, overview >300 ongoing clinical trials, and discuss challenges for their clinical translation and strategies to overcome the same.

Indexed as

digiceuticalsdigital counselingdigital healthdigital medicinedigital technologydigital therapeuticsprescription digital therapeutic

Identifiers

PMID37476062
PMCPMC10354777

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.