Evidence map›Paper›PMID 39563835›Full record

ArticleJournal of multidisciplinary healthcare2024

Worldwide Research Trends and Regional Differences in the Development of Precision Medicine Under Data-Driven Approach: A Bibliometric Analysis.

Heyuan Niu, Kai Yu Li, Tao Yu, Maorun Zhang, Zhe Ji, Ping Yu, Xianfu Yi, Gang Liu

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. 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. Article
  2. Review
  3. Article
  4. Article
  5. Article
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.

Heyuan Niu *Department of General Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Kai Yu Li *Department of General Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Tao Yu *Department of Medical Oncology, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Maorun ZhangDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Zhe JiDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Ping YuLibrary of Tianjin Medical University, Tianjin Medical University, Tianjin, People's Republic of China.
Xianfu YiDepartment of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, People's Republic of China.
Gang LiuDepartment of General Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Precision medicine is an innovative approach that integrates genomics, clinical informatics, and proteomics to address both genetic and environmental factors in disease prevention and treatment. This bibliometric study analyzes research trends, collaboration patterns, and the unique characteristics of precision medicine across countries to inform future research directions. Methods: A comprehensive search was conducted in the Web of Science Core Collection (1999-2022) database to identify publications related to precision medicine. The analysis of publication patterns, collaborations, institutions, authors, and research hotspots was performed utilizing Microsoft PowerPoint 2019 in conjunction with the Bibliometrix package in R. Results: A total of 30,777 publications on precision medicine were identified. The United States and the United Kingdom were recognized as the primary contributors, while European countries exhibited substantial collaborative efforts. Harvard University and the University of California System have played pivotal roles in advancing the field. The keywords analysis showed that in the early 2000s, "gene expression" and "personalized outcomes" were key themes. Since 2015, there's been a significant shift towards advanced technologies like artificial intelligence, machine learning, liquid biopsy, highlighting their growing importance in precision medicine. Research topics across various countries exhibit certain global similarities. However, different nations exhibit distinct thematic research focuses. China emphasizes "Informatics", "Hepatocellular Carcinoma", "Photothermal Therapy", and "Lung Adenocarcinoma", while the United States prioritizes "Informatics", "Treatment Rules", and "Consortium Guidelines". Germany and France share similar interests in particular research domains. Conclusion: Precision medicine is rapidly globalizing, with significant contributions from multiple countries and emerging technologies acting as catalysts for further development. Greater international cooperation is essential to elevate the quality and impact of research. These advancements hold great potential for transforming personalized healthcare by integrating cutting-edge scientific disciplines.

Indexed as

bibliometric analysisinternational collaborationprecision medicineresearch topic

Identifiers

PMID39563835
PMCPMC11575460

What Socratic 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 Socratic graph.