Evidence map›Paper›PMID 35875005›Full record

SynthesisFrontiers in public health2022

Global Trends and Research Hotspots of Exercise for Intervening Diabetes: A Bibliometric Analysis.

Zhijie Zhang, Yuanchun Zhu, Qingfeng Wang, Tiantian Chang, Chunlong Liu, Yi Zhu, Xueqiang Wang, Xiangyang Cao

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 9% of its field
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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Global Research Hotspots and Trends of Physical Activity in Knee Osteoarthritis: A Bibliometric Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
  13. Review
  14. Review
  15. Article
  16. Bibliometric Analysis of Exercise and Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2023
    Review
  17. Article
  18. 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

8 authors at 4 institutions in 1 country.

Zhijie ZhangRehabilitation Therapy Center, Luoyang Orthopedic Hospital of Henan Province, Luoyang, China.
Yuanchun ZhuDepartment of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China.
Qingfeng WangRehabilitation Therapy Center, Luoyang Orthopedic Hospital of Henan Province, Luoyang, China.
Tiantian ChangDepartment of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China.
Chunlong LiuClinical Medical College of Acupuncture, Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yi ZhuDepartment of Musculoskeletal Pain Rehabilitation, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xueqiang WangDepartment of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China.
Xiangyang CaoRehabilitation Therapy Center, Luoyang Orthopedic Hospital of Henan Province, Luoyang, China.
Luoyang Orthopedic-Traumatological Hospital of Henan Province · CNShanghai University of Sport · CNFifth Affiliated Hospital of Zhengzhou University · CNGuangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes is a chronic metabolic disease characterized by hyperglycemia that often occurs in adults. Many studies have indicated that exercise is beneficial to the medical management of diabetes. Bibliometric analysis can help investigators to identify the current research concerns to guide future research directions. Nevertheless, the overview bibliometric analysis of this global research topic related to exercise and diabetes is lacking. The present bibliometric study aimed to investigate development trends and research hotspots of exercise and diabetes research and provide researchers with new perspectives in further studies. Materials and Methods: The articles and reviews regarding exercise and diabetes between 2000 and 2020 were retrieved from the Web of Science Core Collection. The scientometrics analytical tool CiteSpace software was used to analyze the cooperation among countries/institutions/journals/authors, analysis of co-occurrence keywords, keywords bursts, and references. Results: In all, 3,029 peer-reviewed papers were found with a persistently increased tendency over time. The most prolific country and institution were the USA (965) and Univ Alberta (76), respectively. Diabetes Care published most papers (178) and was the most co-cited journal (2,630). Riddell MC had the most publications (53), and Sigal RJ was the most influential author (503 cited times). Colberg et al.'s paper (co-citation counts: 183) showed the strongest citation bursts by the end of 2020, which was the most representative reference. The four research focuses were mellitus, exercise, physical activity, and glycemic control. The two frontiers trends were sedentary behavior and stress. The combination of aerobic and resistance training can effectively improve glycemic control, decrease HbA1c levels, enhance cardiorespiratory fitness, improve lipid levels, and decrease the demand for non-insulin antihyperglycemic agents. Conclusions: This study offers a scientific perspective on exercise and diabetes research and provides investigators with valuable information to detect the current research condition, hotspots, and emerging trends for further study.

Indexed as

BibliometricsDiabetes MellitusExerciseCardiorespiratory FitnessGlycated HemoglobinGlycemic ControlHumansHypoglycemic AgentsSedentary BehaviorGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic Agentsbibliometric analysisCiteSpacediabetesexerciseresearch hotspots

Identifiers

PMID35875005
PMCPMC9300903
OpenAlexW4284713228

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.