Evidence map›Paper›PMID 42162261›Full record

ArticleNPJ digital medicine2026

Mapping the evidence supporting FDA-authorized digital therapeutics, before and after authorization.

Melissa Amyx, Farzaneh Alebouyeh, Ngan Thi Thuy Phi, Philippe Ravaud, Viet-Thi Tran

Abstract read
In one paragraph

Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Melissa AmyxUniversité Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Center for Research in Epidemiology and Statistics (CRESS), Paris, France. melissa.amyx@inserm.fr.
Farzaneh AlebouyehUniversité Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Center for Research in Epidemiology and Statistics (CRESS), Paris, France.
Ngan Thi Thuy PhiUniversité Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Center for Research in Epidemiology and Statistics (CRESS), Paris, France.
Philippe RavaudUniversité Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Center for Research in Epidemiology and Statistics (CRESS), Paris, France.
Viet-Thi TranUniversité Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Center for Research in Epidemiology and Statistics (CRESS), Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to describe the totality of evidence for United States Food & Drug Administration (FDA)-authorized digital therapeutics (DTx). We identified FDA-authorized DTx with a decision from 2019-2022, then identified studies evaluating these DTx. For the initial indication of each DTx, we classified: 1) development/pilot studies; 2) pivotal randomized controlled trials (RCTs); and 3) real-world evidence [RWE]/post-market studies. We separately grouped all studies assessing DTx indication expansion/product modifications. For 45 DTx, we identified 436 studies (median 7, range 0-73 per DTx), spanning over 2 decades (2001-present). The totality of evidence varied from extensive evidence dossiers, with studies from each category for 31.1% DTx, to none for 11.1%. Half (46.7% DTx) had a pivotal RCT. For 13.3% DTx, the lag between study start and/or publication and FDA-authorization was >10 years; half (53.3%) had no available results prior to authorization. The totality of evidence for FDA-authorized DTx varied, reflecting the heterogeneity in DTx characteristics, development, regulation, and evaluation. Given some DTx entered the market with limited or no publicly available data, more transparent, timely dissemination of results and consistent evidence standards, appropriate to the level of risk of the individual DTx, are needed to inform clinical and regulatory decision-making.

Identifiers

PMID42162261
PMCPMC13458057

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.