Evidence map›Paper›PMID 39114112›Full record

ArticleDigital health

An overview of environmental risk factors for type 2 diabetes research using network science tools.

Xia Cao, Huixin Yu, Yu Quan, Jing Qin, Yuhong Zhao, Xiaochun Yang, Shanyan Gao

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Xia CaoDepartment of Data Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0001-9228-276X
Huixin YuDepartment of Data Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Yu QuanDepartment of Data Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Jing QinShenyang Medical College, Shenyang, Liaoning, China.
Yuhong ZhaoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Xiaochun YangSoftware College of Northeastern University, Shenyang, Liaoning, China.
Shanyan GaoDepartment of Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Current studies lack a comprehensive understanding of the environmental factors influencing type 2 diabetes, hindering an in-depth grasp of the overall etiology. To address this gap, we utilized network science tools to highlight research trends, knowledge structures, and intricate relationships among factors, offering a new perspective for a profound understanding of the etiology. Methods: The Web of Science database was employed to retrieve documents relevant to environmental risk factors in type 2 diabetes from 2012 to 2024. Bibliometric analysis using Microsoft Excel and OriginPro provided a detailed scientific production profile, including articles, journals, countries, and authors. Co-occurrence analysis was employed to determine the collaboration state and knowledge structures, utilizing social network tools such as Gephi, Tableau, and R Studio. Additionally, theme evolutionary analysis was conducted using SciMAT to offer insights into research trends. Results: The publications and themes related to environmental factors in type 2 diabetes have consistently risen, shaping a well-established research domain. Lifestyle environmental factors, particularly diet and nutrition, stand out as the most represented and rapidly growing topics. Key focal hotspots include sedentary and digital behavior, PM Conclusions: Digital behavior signifies a novel approach for preventing and managing type 2 diabetes. The influence of PM

Indexed as

Bibliometric analysisenvironmental factorsevolutionary analysisknowledge mappingsocial network analysistype 2 diabetes

Identifiers

PMID39114112
PMCPMC11304486

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.