Evidence map›Paper›PMID 38392592›Full record

ArticleJournal of personalized medicine2024

Meta-Analysis of Studies on the Effects of Digital Therapeutics.

Young-Chul Seo, Sang Yeol Yong, Won Woo Choi, Sung Hoon Kim

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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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

4 authors.

Young-Chul SeoWonju College of Medicine, Yonsei University, 20, Ilsan-ro, Wonju-si 26426, Gangwon-do, Republic of Korea.ORCID 0009-0005-5308-5698
Sang Yeol YongWonju College of Medicine, Yonsei University, 20, Ilsan-ro, Wonju-si 26426, Gangwon-do, Republic of Korea.ORCID 0000-0003-0288-4121
Won Woo ChoiDepartment of Rehabilitation Medicine, Yonsei University, 20, Ilsan-ro, Wonju-si 26426, Kangwon-do, Republic of Korea.ORCID 0000-0001-7049-5158
Sung Hoon KimWonju College of Medicine, Yonsei University, 20, Ilsan-ro, Wonju-si 26426, Gangwon-do, Republic of Korea.

Funding

the Korea Health Technology R&D Project through the Korea Health Industry Development In-stitute (KHIDI). NAThis grant was funded by the Ministry of Health Welfare, Republic of Korea HR21C0885
6 · The paper itself

Abstract

Digital therapeutics (DTx), novel treatment methods that have the potential to surpass traditional approaches such as pills, have received considerable research attention. Various efforts have been made to explore effective treatment methods that actively integrate DTx. This review investigates DTx treatment outcomes comprehensively through a meta-analysis. The analysis-a manual search of studies on "digital therapeutics"-includes DTx studies from January 2017 to October 2022. Hedges' g is used to quantify effect size for fifteen studies analyzed, encompassing eight control groups. Further, a quality assessment is performed using the Bias Risk Assessment Tool. The Hedges' g analysis results provide weighted average effect sizes across the eight control groups, revealing a substantial value of 0.91 (95% CI: 0.62 to 1.20); this signifies a moderate to large effect size. Further refinement, which excludes one study, yields an increased weighted average effect size of 1.13 (95% CI: 0.91 to 1.36). The quality assessment results consistently indicate a low risk of bias across studies. The meta-analysis results indicate that DTx can provide significant pivotal therapeutic impacts and offer a means to personalize treatment approaches and streamline the management of patients' treatment processes.

Indexed as

bias risk assessmentdigital therapeuticseffect sizemeta-analysispersonalized treatmenttreatment outcomes

Identifiers

PMID38392592
PMCPMC10890481

What OpenQuestion holds

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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.