Evidence map›Paper›PMID 39421308›Full record

ReviewDigital health

Knowledge mapping of telemedicine in urology in the past 20 years: A bibliometric analysis (2004-2024).

Na Zeng, Mei-Cheng Liu, Xing-Yu Zhong, Shao-Gang Wang, Qi-Dong Xia

Abstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Na ZengDepartment and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Mei-Cheng LiuDepartment and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0009-0004-3965-1326
Xing-Yu ZhongDepartment and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shao-Gang WangDepartment and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qi-Dong XiaDepartment and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telemedicine refers to the process of utilizing communication technologies to exchange disease information, perform surgery and educate care providers remotely, breaking through the distance limit and promoting the health of individuals and communities. The fifth-generation (5G) technology and the COVID-19 pandemic have greatly boosted studies on the application of telemedicine in urology. In this study, we conduct a comprehensive overview of the knowledge structure and research hotspots of telemedicine in urology through bibliometrics. We searched publications related to telemedicine in urology from 2004 to 2024 on the Web of Science Core Collection (WoSCC) database. VOSviewer, CiteSpace and R package "bibliometrix" were employed in this bibliometric analysis. A total of 1,357 articles from 97 countries and 2,628 institutions were included. The number of annual publications on telemedicine in urology witnessed a steady increase in the last two decades. Duke University was the top research institution. Urology was the most popular journal, and Journal of Medical Internet Research was the most co-cited journal. Clarissa Diamantidis and Chad Ellimoottil published the most papers, and Boyd Viers was co-cited most frequently. Effectiveness evaluation of telemonitoring, cost-benefit analysis of teleconsultation and exploration of telesurgery are three main research hotspots. As the first bibliometric analysis of research on telemedicine in urology, this study reviews research progress and highlights frontiers and trending topics, offering valuable insights for future studies.

Indexed as

BibliometricCiteSpacetelemedicineurologyVOSviewer

Identifiers

PMID39421308
PMCPMC11483830

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.