Evidence map›Paper›PMID 40228251›Full record

ReviewMedicine2025

Research hotspots and frontier analysis on Mendelian randomization in osteoporosis-related fields: A review based on bibliometric and visual analysis.

Qingqing Zeng, Sijie Gui, Zhuolan Li, Fei Wu, Dan Peng, Guqing Zeng

Abstract readReview
In one paragraph

Review in Medicine, 2025. 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. 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

6 authors.

Qingqing ZengSchool of Nursing, University of South China, Hengyang, China.
Sijie GuiDepartment of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, China.
Zhuolan LiSchool of Nursing, University of South China, Hengyang, China.
Fei WuSchool of Nursing, University of South China, Hengyang, China.
Dan PengDepartment of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, China.
Guqing ZengSchool of Nursing, University of South China, Hengyang, China.ORCID 0000-0002-6617-3292

Funding

the Natural Science Foundation of Hunan Province 2021JJ30586the Project of Hunan Provincial Department of Finance [2022]44the Project of Hunan Provincial Department of Finance [2023]31
6 · The paper itself

Abstract

This research seeks to thoroughly examine the present state and research hotspots in Mendelian randomization (MR) in osteoporosis (OP)-related fields, providing a reference for future research directions in this area. Following an exhaustive search of the Web of Science Core Collection database, our analysis utilized citation statistics for osteoporosis studies conducted from January 1, 2007, through March 15, 2024. Bibliometric and visual analyses were conducted using two online analysis systems, CiteSpace and VOSviewer. The analysis included a variety of dimensions, including the distribution of citations, authorship, published journals, year of publication, countries, co-occurrence keywords and keyword clustering. From 2007 to 2024, the number of publications in MR in OP-related fields showed an overall increased. High-impact publications and leading contributors were primarily from China, followed by the USA and England. The journal with the largest number of publications in MR in OP-related fields is the Journal of Bone and Mineral Research. Risk factor research, genome-wide associations, meta-analysis, fractures, and gene loci were the main research hotspots. Interdisciplinary integration, MR research combined with data from clinical trials and observational studies, represents the future development trend. Research on MR in OP-related fields has mainly been conducted in China, the USA, and England. The research hotspots were aimed at exploring the causative between risk factors and OP. Future studies are likely to center on multidisciplinary integration.

Indexed as

BibliometricsBiomedical ResearchMendelian Randomization AnalysisOsteoporosisGenome-Wide Association StudyHumansbibliometrichotspotsmendelian randomizationosteoporosisvisual analysis

Identifiers

PMID40228251
PMCPMC11999391

What OpenQuestion holds

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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.