Evidence map›Paper›PMID 39148814›Full record

ArticleDigital health

Ortho-digital dynamics: Exploration of advancing digital health technologies in musculoskeletal disease management.

Zulipikaer Maimaiti, Zhuo Li, Zhiyuan Li, Jun Fu, Chi Xu, Jiying Chen, Wei Chai, Liang Liu

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Zulipikaer MaimaitiDepartment of Orthopedics, Beijing Luhe Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-8684-5885
Zhuo LiDepartment of Joint Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.ORCID https://orcid.org/0000-0002-9296-2738
Zhiyuan LiSenior Department of Orthopaedics, The Fourth Medical Centre, Chinese PLA General Hospital, Beijing, China.
Jun FuSenior Department of Orthopaedics, The Fourth Medical Centre, Chinese PLA General Hospital, Beijing, China.
Chi XuSenior Department of Orthopaedics, The Fourth Medical Centre, Chinese PLA General Hospital, Beijing, China.
Jiying ChenSenior Department of Orthopaedics, The Fourth Medical Centre, Chinese PLA General Hospital, Beijing, China.
Wei ChaiSenior Department of Orthopaedics, The Fourth Medical Centre, Chinese PLA General Hospital, Beijing, China.
Liang LiuDepartment of Orthopedics, Beijing Luhe Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Musculoskeletal (MSK) disorders, affecting billions of people worldwide, pose significant challenges to the healthcare system and require effective management models. The rapid development of digital healthcare technologies (DHTs) has revolutionized the healthcare industry. DHT-based interventions have shown promising clinical benefits in managing MSK disorders, alleviating pain, and improving functional impairment. There is, however, no bibliometric analysis of the overall trends on this topic. Methods: We extracted all relevant publications from the Web of Science Core Collection (WoSCC) database until April 30, 2023. We performed bibliometric analysis and visualization using CiteSpace, VOSviewer, and R software. Annual trends of publications, countries/regions distributions, funding agencies, institutions, co-cited journals, author contributions, references, core journals, and keywords and research hotspots were analyzed. Results: A total of 6810 papers were enrolled in this study. Publications have increased drastically from 16 in 1995 to 1198 in 2022, with 4067 articles published in the last five years. In all, 53 countries contributed with publications to this research area. The United States, the United Kingdom, and China were the most productive countries. Harvard University was the most contributing institution. Regarding keywords, research focuses include artificial intelligence, deep learning, machine learning, telemedicine, rehabilitation, and robotics. Conclusion: The COVID-19 pandemic has further accelerated the adoption of DHTs, highlighting the need for remote care options. The analysis reveals the positive impact of DHTs on improving physician productivity, enhancing patient care and quality of life, reducing healthcare expenditures, and predicting outcomes. DHTs are a hot topic of research not only in the clinical field but also in the multidisciplinary intersection of rehabilitation, nursing, education, social and economic fields. The analysis identifies four promising hotspots in the integration of DHTs in MSK pain management, biomechanics assessment, MSK diagnosis and prediction, and robotics and tele-rehabilitation in arthroplasty care.

Indexed as

bibliometricsDigital healthcare technologiesdisease managementmusculoskeletal disordersresearch trends

Identifiers

PMID39148814
PMCPMC11325473

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.