Evidence map›Paper›PMID 39776492›Full record

SynthesisFrontiers in molecular neuroscience2024

Mapping the research landscape of microRNAs in pain: a comprehensive bibliometric analysis.

Huaiming Wang, Qin Li, Jiang Zou, Jinjun Shu, Aimin Zhang, Hongwei Zhang, Qi Zhao, Shunxin Liu, Chan Chen, Guo Chen

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in molecular neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

10 authors.

Huaiming Wang *Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.
Qin Li *Department of Anesthesiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
Jiang Zou *Sichuan Women's and Children's Hospital, Women's and Children's Hospital, Chengdu Medical College, Chengdu, China.
Jinjun ShuDepartment of Anesthesiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
Aimin ZhangDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.
Hongwei ZhangDepartment of Anesthesiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
Qi ZhaoDepartment of Anesthesiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
Shunxin LiuGuangxi University of Chinese Medicine, Nanning, China.
Chan ChenDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.
Guo ChenDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: MicroRNAs (miRNAs) have demonstrated significant potential in pain medicine research, including mechanisms, diagnosis, and therapy. However, no relative bibliometric analysis has been performed to summarize the progress in this area quantitatively. Methods: Literature was retrieved from the Web of Science Core Collection online database. A total of 1,295 papers were retrieved between January 1, 2000 and September 21, 2023 and underwent visualization and analysis using R software [Library [bibliometrix] and biblioshiny packages], VOSviewer (version 1.6.18), CiteSpace software (version 6.2.R4), and the bibliometrics website (http://bibliometric.com). Results: Publications in this field have increased annually since 2000, demonstrating growing research interest. China emerged as the most productive country, followed by the United States and Germany. Keyword analysis identified "expression," "neuropathic pain," and "microRNAs" as the most relevant keywords. Extensive collaboration among countries and institutions was also observed. Conclusion: The bibliometric analysis revealed a rapid growth of publications related to miRNAs and pain in the past 2 decades. Keywords analysis indicates that "expression," "neuropathic pain," and "microRNA" are the most frequently used words in this research field. However, more robust and globally recognized basic studies and clinical trials from prestigious journals are required.

Indexed as

bibliometric analysismicroRNAmiRNApainWeb of Science

Identifiers

PMID39776492
PMCPMC11703907

What Socratic holds

Textmetadata
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 Socratic graph.