Evidence map›Paper›PMID 38766424›Full record

ArticleWorld journal of diabetes2024

Global status and trends of metabolomics in diabetes: A literature visualization knowledge graph study.

Hong Li, Liu Li, Qiu-Qing Huang, Si-Yao Yang, Jun-Ju Zou, Fan Xiao, Qin Xiang, Xiu Liu, Rong Yu

Abstract read
In one paragraph

Article in World journal of diabetes, 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. Article
  3. Article
  4. Review
  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

9 authors.

Hong LiCollege of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China.
Liu LiCollege of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China.
Qiu-Qing HuangCollege of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China.
Si-Yao YangCollege of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China.
Jun-Ju ZouCollege of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China.
Fan XiaoCollege of International Education, Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China.
Qin XiangDepartment of Science and Technology, Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China.
Xiu LiuHunan Key Laboratory of TCM Prescription and Syndromes Translational Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China.
Rong YuHunan Key Laboratory of TCM Prescription and Syndromes Translational Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is a metabolic disease characterized by hyperglycemia, which has increased the global medical burden and is also the main cause of death in most countries.

aimTo understand the knowledge structure of global development status, research focus, and future trend of the relationship between diabetes and metabolomics in the past 20 years.

methodsThe articles about the relationship between diabetes and metabolomics in the Web of Science Core Collection were retrieved from 2002 to October 23, 2023, and the relevant information was analyzed using CiteSpace6.2.2R (CiteSpace), VOSviewer6.1.18 (VOSviewer), and Bibliometrix software under R language.

resultsA total of 3123 publications were included from 2002 to 2022. In the past two decades, the number of publications and citations in this field has continued to increase. The United States, China, Germany, the United Kingdom, and other relevant funds, institutions, and authors have significantly contributed to this field.

conclusionThe relationship between metabolomics and diabetes is receiving extensive attention. Diabetic nephropathy, diabetic cardiovascular disease, and kidney disease are key diseases for future research in this field. Gut microbiota, molecular docking, and untargeted metabolomics are key research directions in the future. Antioxidant activity, gene, validation, mass spectrometry, management, and accumulation are at the forefront of knowledge frontiers in this field.

Indexed as

BibliometricCiteSpaceDiabetesMetabolomicsVOSviewer

Identifiers

PMID38766424
PMCPMC11099375

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.