Skip to main content
SpringerLink
Log in

Bibliometric and visualized analysis of type 2 diabetic osteoporosis from 2013 to 2022

  • Original Article
  • Published:
Archives of Osteoporosis Aims and scope Submit manuscript

Abstract

Summary

Type 2 diabetic osteoporosis (T2DOP) has received increasing attention from researchers. In this study, a total of 453 publications related to T2DOP from 2013 to 2022 were analyzed using bibliometric and visual analysis to identify the research trends and research hotspots in the field of T2DOP.

Purpose

The objective of this study was to conduct a comprehensive bibliometric analysis of T2DOP-related publications from 2013 to 2022 to determine global research trends in T2DOP in terms of number of publications, countries/regions, institutions, authors, journals, funding agencies, and keywords.

Methods

All data were collected from the Web of Science Core Collection (WoSCC). All original research publications regarding T2DOP from 2013 to 2022 were retrieved. VOSviewer and Microsoft Office Excel were used to conduct the bibliometric and visual analysis.

Results

From 2013 to 2022, 515 relevant publications were published, with a peak in 2022 in the annual number of publications. The countries leading the research were USA and China. Sugimoto was the most influential authors. Capital Medical University and Nanjing Medical University were the most prolific institutions. Osteoporosis International was the most productive journal concerning T2DOP research. National Natural Science Foundation of China was the primary funding source for this research area. “Bone-mineral density”, “fracture risk”, and “postmenopausal women” were the most high-frequency keywords over the past 10 years.

Conclusion

This was the first bibliometric study of diabetes mellitus and osteoporosis to exclusively examine type 2 diabetes mellitus. Our findings would provide guidance to understand the research frontiers and hot directions in the near future.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data availability

The authors confirm that the data supporting the findings of this study are available and can be requested from the corresponding author upon reasonable request.

Abbreviations

T2DM :

Type 2 diabetes mellitus

T2DOP :

Type 2 diabetic osteoporosis

WOS :

Web of science

SCI-EXPANDED :

Science Citation Index Expanded

SSCI :

Social Sciences Citation Index

AHCI :

Arts & Humanities Citation Index

CPCI-S :

Conference Proceedings Citation Index—Science

CPCI-SSH :

Social Science & Humanities

ESCI :

Emerging Sources Citations Index

BKCI-S :

Book citation index-Science

BKCI-SSH :

Book citation index- Social Science & Humanities

TS :

Topic science

IF :

Impact factor

References

  1. Skyler JS, Bakris GL, Bonifacio E, Darsow T, Eckel RH, Groop L, Groop PH, Handelsman Y, Insel RA, Mathieu C, McElvaine AT, Palmer JP, Pugliese A, Schatz DA, Sosenko JM, Wilding JP, Ratner RE (2017) Differentiation of diabetes by pathophysiology, natural history, and prognosis. Diabetes 66(2):241–255. https://doi.org/10.2337/db16-0806

    Article  CAS  PubMed  Google Scholar 

  2. Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, Stein C, Basit A, Chan JCN, Mbanya JC, Pavkov ME, Ramachandaran A, Wild SH, James S, Herman WH, Zhang P, Bommer C, Kuo S, Boyko EJ, Magliano DJ (2022) IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract 183:109119. https://doi.org/10.1016/j.diabres.2021.109119

    Article  PubMed  Google Scholar 

  3. Hofbauer LC, Busse B, Eastell R, Ferrari S, Frost M, Müller R, Burden AM, Rivadeneira F, Napoli N, Rauner M (2022) Bone fragility in diabetes: novel concepts and clinical implications. Lancet Diabetes Endocrinol 10(3):207–220. https://doi.org/10.1016/s2213-8587(21)00347-8

    Article  PubMed  Google Scholar 

  4. Rachner TD, Khosla S, Hofbauer LC (2011) Osteoporosis: now and the future. Lancet 377(9773):1276–1287. https://doi.org/10.1016/s0140-6736(10)62349-5

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Harvey N, Dennison E, Cooper C (2010) Osteoporosis: impact on health and economics. Nat Rev Rheumatol 6(2):99–105. https://doi.org/10.1038/nrrheum.2009.260

    Article  PubMed  Google Scholar 

  6. Shen Z, Wu H, Chen Z, Hu J, Pan J, Kong J, Lin T (2022) The Global Research of Artificial Intelligence on Prostate Cancer: A 22-Year Bibliometric Analysis. Front Oncol 12:843735. https://doi.org/10.3389/fonc.2022.843735

    Article  PubMed  PubMed Central  Google Scholar 

  7. Wu H, Cheng K, Guo Q, Yang W, Tong L, Wang Y, Sun Z (2021) Mapping knowledge structure and themes trends of osteoporosis in rheumatoid arthritis: a bibliometric analysis. Front Med 8:787228. https://doi.org/10.3389/fmed.2021.787228

    Article  Google Scholar 

  8. Wu H, Zhou Y, Wang Y, Tong L, Wang F, Song S, Xu L, Liu B, Yan H, Sun Z (2021) Current state and future directions of intranasal delivery route for central nervous system disorders: a scientometric and visualization analysis. Front Pharmacol 12:717192. https://doi.org/10.3389/fphar.2021.717192

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Zhao Y, Zhang X, Song Z, Wei D, Wang H, Chen W, Sun G, Ma W, Chen K (2020) Bibliometric analysis of ATAC-Seq and its use in cancer biology via nucleic acid detection. Front Med (Lausanne) 7:584728. https://doi.org/10.3389/fmed.2020.584728

    Article  PubMed  Google Scholar 

  10. Schöffel N, Mache S, Quarcoo D, Scutaru C, Vitzthum K, Groneberg DA, Spallek M (2010) Rheumatoid arthritis: scientific development from a critical point of view. Rheumatol Int 30(4):505–513. https://doi.org/10.1007/s00296-009-1005-5

    Article  PubMed  Google Scholar 

  11. Geaney F, Scutaru C, Kelly C, Glynn RW, Perry IJ (2015) Type 2 diabetes research yield, 1951–2012: bibliometrics analysis and density-equalizing mapping. PLoS ONE 10(7):e0133009. https://doi.org/10.1371/journal.pone.0133009

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Cheng K, Guo Q, Yang W, Wang Y, Sun Z, Wu H (2022) Mapping knowledge landscapes and emerging trends of the links between bone metabolism and diabetes mellitus: a bibliometric analysis from 2000 to 2021. Front Public Health 10:918483. https://doi.org/10.3389/fpubh.2022.918483

    Article  PubMed  PubMed Central  Google Scholar 

  13. Gao Q, Zhang C, Wang J, Wei Q, Wei Q, Miyamoto A, Zhu S, He C (2020) The top 100 highly cited articles on osteoporosis from 1990 to 2019: a bibliometric and visualized analysis. Arch Osteoporos 15(1):144. https://doi.org/10.1007/s11657-020-0705-z

    Article  PubMed  Google Scholar 

  14. Suzan V, BektanKanat B, Yavuzer H, Doventas A (2021) Themes and trends for osteoporosis: the bibliometric and altmetric approach. Arch Osteoporos 16(1):122. https://doi.org/10.1007/s11657-021-00983-w

    Article  PubMed  Google Scholar 

  15. Xie Y, Wang J, Wang L, Zhu Y, Lei L, Wan T, Liao X, Liang B, Pang G, Miyamoto A, Zhang C (2020) Research trends in osteoporosis in Asian countries and regions in the last 20 years. Arch Osteoporos 15(1):130. https://doi.org/10.1007/s11657-020-00795-4

    Article  PubMed  Google Scholar 

  16. Zhao N, Tao K, Wang G, Xia Z (2019) Global obesity research trends during 1999 to 2017: a bibliometric analysis. Medicine (Baltimore) 98(4):e14132. https://doi.org/10.1097/md.0000000000014132

    Article  PubMed  Google Scholar 

  17. Zhang L, Yu K, Zhu B, Mei S, Huo J, Zhao Z (2023) Trends in research related to vaccine and cancer prevention from 1992 to 2022: a 30-years bibliometric analysis. Hum Vaccin Immunother 19(1):2207441. https://doi.org/10.1080/21645515.2023.2207441

    Article  PubMed  PubMed Central  Google Scholar 

  18. Liu Q, Liu Z, Huang B, Teng Y, Li M, Peng S, Guo H, Wang M, Liang J, Zhang Y (2023) Global trends in poliomyelitis research over the past 20 years: a bibliometric analysis. Hum Vaccin Immunother 19(1):2173905. https://doi.org/10.1080/21645515.2023.2173905

    Article  PubMed  PubMed Central  Google Scholar 

  19. van Eck NJ, Waltman L (2010) Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84(2):523–538. https://doi.org/10.1007/s11192-009-0146-3

    Article  PubMed  Google Scholar 

  20. Bolinder J, Ljunggren Ö, Johansson L, Wilding J, Langkilde AM, Sjöström CD, Sugg J, Parikh S (2014) Dapagliflozin maintains glycaemic control while reducing weight and body fat mass over 2 years in patients with type 2 diabetes mellitus inadequately controlled on metformin. Diabetes Obes Metab 16(2):159–169. https://doi.org/10.1111/dom.12189

    Article  CAS  PubMed  Google Scholar 

  21. Watts NB, Bilezikian JP, Usiskin K, Edwards R, Desai M, Law G, Meininger G (2016) Effects of canagliflozin on fracture risk in patients with type 2 diabetes mellitus. J Clin Endocrinol Metab 101(1):157–166. https://doi.org/10.1210/jc.2015-3167

    Article  CAS  PubMed  Google Scholar 

  22. Patsch JM, Li X, Baum T, Yap SP, Karampinos DC, Schwartz AV, Link TM (2013) Bone marrow fat composition as a novel imaging biomarker in postmenopausal women with prevalent fragility fractures. J Bone Miner Res 28(8):1721–1728. https://doi.org/10.1002/jbmr.1950

    Article  PubMed  Google Scholar 

  23. Shuaib W, Khan MS, Shahid H, Valdes EA, Alweis R (2015) Bibliometric analysis of the top 100 cited cardiovascular articles. Am J Cardiol 115(7):972–981. https://doi.org/10.1016/j.amjcard.2015.01.029

    Article  PubMed  Google Scholar 

  24. Stout NL, Alfano CM, Belter CW, Nitkin R, Cernich A, Lohmann Siegel K, Chan L (2018) A bibliometric analysis of the landscape of cancer rehabilitation research (1992–2016). J Natl Cancer Inst 110(8):815–824. https://doi.org/10.1093/jnci/djy108

    Article  PubMed  PubMed Central  Google Scholar 

  25. Benoit SR, Zhang Y, Geiss LS, Gregg EW, Albright A (2018) Trends in diabetic ketoacidosis hospitalizations and in-hospital mortality-United States, 2000-2014. MMWR 67(12):362–365. https://doi.org/10.15585/mmwr.mm6712a3

    Article  PubMed  PubMed Central  Google Scholar 

  26. Zhong M, Lin M (2022) Bibliometric analysis for economy in COVID-19 pandemic. Heliyon 8(9):e10757. https://doi.org/10.1016/j.heliyon.2022.e10757

    Article  PubMed  PubMed Central  Google Scholar 

  27. Jia P, Bao L, Chen H, Yuan J, Liu W, Feng F, Li J, Tang H (2017) Risk of low-energy fracture in type 2 diabetes patients: a meta-analysis of observational studies. Osteoporos Int 28(11):3113–3121. https://doi.org/10.1007/s00198-017-4183-0

    Article  CAS  PubMed  Google Scholar 

  28. Liu Z, Gao H, Bai X, Zhao L, Li Y, Wang B (2017) Evaluation of singh index and osteoporosis self-assessment tool for Asians as risk assessment tools of hip fracture in patients with type 2 diabetes mellitus. J Orthop Surg Res 12(1):37. https://doi.org/10.1186/s13018-017-0539-6

    Article  PubMed  PubMed Central  Google Scholar 

  29. Xiu S, Chhetri JK, Sun L, Mu Z, Wang L (2019) Association of serum prealbumin with risk of osteoporosis in older adults with type 2 diabetes mellitus: a cross-sectional study. Ther Adv Chronic Dis 10:2040622319857361. https://doi.org/10.1177/2040622319857361

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Li Y, Zhao Z, Wang L, Fu Z, Ji L, Wu X (2020) The prevalence of osteoporosis tested by quantitative computed tomography in patients with different glucose tolerances. J Clin Endocrinol Metab 105(1):201–209. https://doi.org/10.1210/clinem/dgz036

    Article  Google Scholar 

  31. Yang K, Miao H, Zhao R, Wu X, Liu B, Zheng S, Huang D, Ping Z (2021) Association between serum uric acid and bone mineral density in patients with type 2 diabetes: a 6-year longitudinal study in China. Medicine (Baltimore) 100(17):e25733. https://doi.org/10.1097/md.0000000000025733

    Article  CAS  PubMed  Google Scholar 

  32. Miyake H, Kanazawa I, Sugimoto T (2018) Association of bone mineral density, bone turnover markers, and vertebral fractures with all-cause mortality in type 2 diabetes mellitus. Calcif Tissue Int 102(1):1–13. https://doi.org/10.1007/s00223-017-0324-x

    Article  CAS  PubMed  Google Scholar 

  33. Yokomoto-Umakoshi M, Kanazawa I, Kondo S, Sugimoto T (2017) Association between the risk of falls and osteoporotic fractures in patients with type 2 diabetes mellitus. Endocr J 64(7):727–734. https://doi.org/10.1507/endocrj.EJ17-0011

    Article  PubMed  Google Scholar 

  34. Schwartz AV, Pavo I, Alam J, Disch DP, Schuster D, Harris JM, Krege JH (2016) Teriparatide in patients with osteoporosis and type 2 diabetes. Bone 91:152–158. https://doi.org/10.1016/j.bone.2016.06.017

    Article  CAS  PubMed  Google Scholar 

  35. Schacter GI, Leslie WD (2015) Spine-hip thickness difference measured by dual-energy X-ray absorptiometry is associated with diabetes mellitus in women and men. J Clin Densitom 18(4):512–518. https://doi.org/10.1016/j.jocd.2015.03.001

    Article  PubMed  Google Scholar 

  36. Dhaliwal R, Cibula D, Ghosh C, Weinstock RS, Moses AM (2014) Bone quality assessment in type 2 diabetes mellitus. Osteoporos Int 25(7):1969–1973. https://doi.org/10.1007/s00198-014-2704-7

    Article  CAS  PubMed  Google Scholar 

  37. Nilsson AG, Sundh D, Johansson L, Nilsson M, Mellström D, Rudäng R, Zoulakis M, Wallander M, Darelid A, Lorentzon M (2017) Type 2 diabetes mellitus is associated with better bone microarchitecture but lower bone material strength and poorer physical function in elderly women: a population-based study. J Bone Miner Res 32(5):1062–1071. https://doi.org/10.1002/jbmr.3057

    Article  PubMed  Google Scholar 

  38. Zhou YJ, Li Y, Zhang D, Wang JH, Yang HW (2010) Prevalence and predictors of osteopenia and osteoporosis in postmenopausal Chinese women with type 2 diabetes. Diabetes Res Clin Pr 90(3):261–269. https://doi.org/10.1016/j.diabres.2010.09.013

    Article  Google Scholar 

  39. Adil C, Aydın T, Taşpınar Ö, Kızıltan H, Eriş AH, Hocaoglu IT, Poşul S, Kepekci M, Denizli E, Güler M (2015) Bone mineral density evaluation of patients with type 2 diabetes mellitus. J Phys Ther Sci 27(1):179–182. https://doi.org/10.1589/jpts.27.179

    Article  PubMed  PubMed Central  Google Scholar 

  40. Oei L, Zillikens MC, Dehghan A, Buitendijk GH, Castaño-Betancourt MC, Estrada K, Stolk L, Oei EH, van Meurs JB, Janssen JA, Hofman A, van Leeuwen JP, Witteman JC, Pols HA, Uitterlinden AG, Klaver CC, Franco OH, Rivadeneira F (2013) High bone mineral density and fracture risk in type 2 diabetes as skeletal complications of inadequate glucose control: the Rotterdam Study. Diabetes Care 36(6):1619–1628. https://doi.org/10.2337/dc12-1188

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Koromani F, Oei L, Shevroja E, Trajanoska K, Schoufour J, Muka T, Franco OH, Ikram MA, Zillikens MC, Uitterlinden AG, Krestin GP, Anastassiades T, Josse R, Kaiser SM, Goltzman D, Lentle BC, Prior JC, Leslie WD, McCloskey E, Lamy O, Hans D, Oei EH, Rivadeneira F (2020) Vertebral fractures in individuals with type 2 diabetes: more than skeletal complications alone. Diabetes Care 43(1):137–144. https://doi.org/10.2337/dc19-0925

    Article  PubMed  Google Scholar 

  42. Li CI, Liu CS, Lin WY, Meng NH, Chen CC, Yang SY, Chen HJ, Lin CC, Li TC (2015) Glycated hemoglobin level and risk of hip fracture in older people with type 2 diabetes: a competing risk analysis of Taiwan diabetes cohort study. J Bone Miner Res 30(7):1338–1346. https://doi.org/10.1002/jbmr.2462

    Article  CAS  PubMed  Google Scholar 

Download references

Funding

This work was supported by the National Natural Science Foundation of China (82304338), the Fund of Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang) (ZJW-2019-007), the Science and Technology Program of Guangdong Province (2019B090905011, 2018A030307001), the Special Funds for Economic Development of Marine Economy of Guangdong Province, China (GDME-2018C011), the Special Science and Technology Innovation Project of Guangdong Province, China (2022A01207, 2019A03023), the Zhanjiang Marine Young Talent Innovation Project (2023E0007), Administration of Traditional Chinese Medicine of Guangdong Province (20241160), the Discipline Construction Project of Guangdong Medical University, China (4SG23009G, 4SG22264G), and the Ph.D. Start-up Fund of Guangdong Medical University (GDMUB2022025, GDMUB2023018).

Author information

Author notes

  1. Si-Yu Chen and Jing Liao contributed equally to this work.

Authors and Affiliations

  1. Marine Biomedical Research Institution, Guangdong Medical University, Zhanjiang, 524023, People’s Republic of China

    Si-Yu Chen, Pei-Xin Huang, Ke-Feng Wu & Lu-Ming Deng

  2. Marine Biomedical Research Institution of Guangdong Zhanjiang, Zhanjiang, 524023, People’s Republic of China

    Si-Yu Chen, Pei-Xin Huang, Ke-Feng Wu & Lu-Ming Deng

  3. GuangDong Engineering Technology Research Center for the Development and Utilization of Mangrove Wetland Medicinal Resources, Guangdong Medical University, Zhanjiang, 524023, People’s Republic of China

    Ke-Feng Wu & Lu-Ming Deng

  4. The Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524023, People’s Republic of China

    Jing Liao

Authors
  1. Si-Yu Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jing Liao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Pei-Xin Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ke-Feng Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Lu-Ming Deng
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

All authors contributed to the design of the study, interpretation of the results, and development of the final manuscript. SYC and PXH conceived the study. SYC and JL performed the statistical analyses. LMD, JL, and KFW criticized and revised manuscript content. SYC and LMD wrote the manuscript with contributions from all coauthors.

Corresponding authors

Correspondence to Ke-Feng Wu or Lu-Ming Deng.

Ethics declarations

Ethics approval

This research study did not involve humans, and therefore, it did not require ethics approval.

Consent for publication

All participants were made aware that the findings of the research would be prepared for publication in a peer reviewed journal.

Conflicts of interest

Si-Yu Chen, Jing Liao, Pei-Xin Huang, Ke-Feng Wu, and Lu-Ming Deng declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 122 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, SY., Liao, J., Huang, PX. et al. Bibliometric and visualized analysis of type 2 diabetic osteoporosis from 2013 to 2022. Arch Osteoporos 19, 30 (2024). https://doi.org/10.1007/s11657-024-01386-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11657-024-01386-3

Keywords

Search

Navigation