Evidence map›Paper›PMID 38800413›Full record

ReviewFrontiers in oncology2024

Bibliometric and visualized analysis of global research on microRNAs in gastric cancer: from 2013 to 2023.

Xiaoqin Wang, Caihua Wang, Wenjin Han, Congmin Ma, Jiaru Sun, Tianmeng Wang, Zhaozhao Hui, Shuangyan Lei, Ronghua Wang

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 3 pooled it
–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, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. 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

9 authors.

Xiaoqin WangDepartment of Pediatrics, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Caihua WangSchool of Nursing, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Wenjin HanSchool of Nursing, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Congmin MaSchool of Nursing, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Jiaru SunSchool of Nursing, Xi'an Vocational and Technical College, Xi'an, China.
Tianmeng WangSchool of Nursing, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Zhaozhao HuiSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Shuangyan LeiDepartment of Radiotherapy, Shaanxi Cancer Hospital, Xi'an, China.
Ronghua WangDepartment of Pediatrics, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) imposes a heavy burden on global public health, and microRNAs (miRNAs) play a crucial role in the diagnosis and treatment of GC. Therefore, it is necessary to clarify the hotspots and frontiers in the field of miRNAs in GC to guide future research. A total of 2,051 publications related to miRNAs in GC from January 2013 to December 2023 were searched from the Web of Science Core Collection database. CiteSpace was used to identify research hotspots and delineate developmental trends. In the past decade, China, Nanjing Medical University, and Ba Yi were the most contributing research country, institute, and author in this field, respectively. The role of miRNAs as biomarkers in GC, the mechanism of miRNAs in the progression of GC, and the impact of the mutual effects between miRNAs and

Indexed as

bibliometric analysisCiteSpaceFrontiersgastric cancermiRNAs

Identifiers

PMID38800413
PMCPMC11116657

What OpenQuestion 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 OpenQuestion graph.