ReviewDigital health
Global trends and hotspots of the digital therapeutics in rehabilitation: A bibliometric analysis.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Evaluating the Reliability and Quality of Bariatric Surgery Educational Content on TikTok and Bilibili: a Cross-Sectional Content Analysis.Obesity surgery · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Digital therapeutics (DTx) are emerging as a dynamic field at the intersection of healthcare and technology, utilising software-driven interventions to prevent, manage, or treat medical conditions. Within rehabilitation, DTx has gained prominence for its potential to improve patient outcomes and refine therapeutic strategies. This article conducts a bibliometric analysis of existing literature to uncover current research trends and offer insights for future investigations. Methods: The Science Citation Index Expanded database from the Web of Science Core Collection was used to retrieve articles and reviews related to DTx in rehabilitation. The data were subjected to systematic analysis using the VOSviewer and Citespace software tools, which facilitated the examination of publication data at the country, institutional, author, journal, citation, and keyword levels. Results: A total of 6593 papers published between 2000 and 2024 were reviewed. The volume of publications has steadily increased over the past two decades, reaching a peak in 2022 ( Conclusions: This study represents the first comprehensive bibliometric analysis of DTx within the rehabilitation field. It identifies current research frontiers and emerging directions, serving as a valuable resource for scholars and researchers investigating DTx's impact on rehabilitation practices.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.