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Bibliometric analysis of publications on trabecular bone score (TBS)

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Abstract

Purpose

Trabecular bone score (TBS), as a texture indicator of bone microarchitecture, predicts the risk of fracture. This study aims to explore the knowledge map of TBS.

Methods

We searched Scopus for “trabecular bone score” or “trabecular score” from the beginning to 2021. Our inclusion criteria were original articles and reviews that were related to TBS and our exclusion criteria were non-English articles, non-related to TBS, and document type other than original articles and reviews. and related documents were included for bibliometric analysis. Excel, VOS viewer, and Science of Science (Sci2) software were used for data synthesis.

Results

From 749 retrieved articles, 652 articles were included for analysis. These documents were cited 12,153 times and had an H-index of 56. The most productivity belonged to the USA (n = 130 documents), Switzerland (n = 101), and Italy (n = 67). “Osteoporosis International” (n = 80) had the highest participation in publishing. The research topics of interest were mainly related to the applicability of TBS for fracture risk assessment in chronic endocrine disorders such as osteoporosis and diabetes mellitus. Bursting analysis of the title and abstract revealed the initial focus of the discriminative power of TBS for osteoporotic fracture and the more recent focus on comparing bone mineral density (BMD) and TBS in a variety of chronic diseases.

Conclusion

The number of annual publications on TBS has increased, especially after 2016. These publications highlight the importance of in-depth knowledge of TBS in predicting fracture risk and also its strengths and limitations of treatment monitoring in different health conditions.

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Data Availability

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References

  1. Peck W. Consensus development conference: diagnosis, prophylaxis, and treatment of osteoporosis. Am J Med. 1993;94(6):646–50.

  2. Johnell O, Kanis J. An estimate of the worldwide prevalence and disability associated with osteoporotic fractures. Osteoporos Int. 2006;17(12):1726–33.

    Article  CAS  PubMed  Google Scholar 

  3. Johnell O, Kanis JA, Oden A, Johansson H, De Laet C, Delmas P, et al. Predictive value of BMD for hip and other fractures. J Bone Miner Res. 2005;20(7):1185–94.

    Article  PubMed  Google Scholar 

  4. Silva BC, Leslie WD, Resch H, Lamy O, Lesnyak O, Binkley N, et al. Trabecular bone score: a noninvasive analytical method based upon the DXA image. J Bone Miner Res. 2014;29(3):518–30.

    Article  PubMed  Google Scholar 

  5. Pothuaud L, Carceller P, Hans D. Correlations between grey-level variations in 2D projection images (TBS) and 3D microarchitecture: applications in the study of human trabecular bone microarchitecture. Bone. 2008;42(4):775–87.

    Article  PubMed  Google Scholar 

  6. Krueger D, Fidler E, Libber J, Aubry-Rozier B, Hans D, Binkley N. Spine trabecular bone score subsequent to bone mineral density improves fracture discrimination in women. J Clin Densitometry. 2014;17(1):60–5.

    Article  Google Scholar 

  7. Leslie W, Aubry-Rozier B, Lix L, Morin S, Majumdar S, Hans D. Spine bone texture assessed by trabecular bone score (TBS) predicts osteoporotic fractures in men: the Manitoba Bone Density Program. Bone. 2014;67:10–4.

    Article  CAS  PubMed  Google Scholar 

  8. Ellegaard O, Wallin JA. The bibliometric analysis of scholarly production: how great is the impact? Scientometrics. 2015;105(3):1809–31.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Li Y, Tian J, Ge M, Ji L, Kang Y, Xia C et al. A worldwide bibliometric analysis of published literature on osteoporosis vertebral compression fracture. J Pain Res. 2022:2373–92.

  10. Jiang B, Feng C, Li C, Tu C, Li Z. A bibliometric and visualization analysis of glucocorticoid-induced osteoporosis research from 2012 to 2021. Front Endocrinol. 2022;13:961471.

    Article  Google Scholar 

  11. Li F, Xie W, Han Y, Li Z, Xiao J. Bibliometric and visualized analysis of exercise and osteoporosis from 2002 to 2021. Front Med. 2022;9:944444.

    Article  Google Scholar 

  12. Wuchty S, Jones BF, Uzzi B. The increasing dominance of teams in production of knowledge. Science. 2007;316(5827):1036–9.

    Article  CAS  PubMed  Google Scholar 

  13. Tang C, Zhang G, Naumann SE. Do central country authors of international co-authored publication networks obtain a high research impact? Malaysian J Libr Inform Sci. 2017;22(3):1–17.

    Article  Google Scholar 

  14. Rianon N, Ambrose CG, Buni M, Watt G, Reyes-Ortiz C, Lee M, et al. Trabecular bone score is a valuable addition to bone mineral density for bone quality assessment in older Mexican American women with type 2 Diabetes. J Clin Densitometry. 2018;21(3):355–9.

    Article  Google Scholar 

  15. Shah VN, Sippl R, Joshee P, Pyle L, Kohrt WM, Schauer IE, et al. Trabecular bone quality is lower in adults with type 1 Diabetes and is negatively associated with insulin resistance. Osteoporos Int. 2018;29(3):733–9.

    Article  CAS  PubMed  Google Scholar 

  16. Baldini M, Ulivieri F, Forti S, Serafino S, Seghezzi S, Marcon A, et al. Spine bone texture assessed by trabecular bone score (TBS) to evaluate bone health in Thalassemia major. Calcif Tissue Int. 2014;95(6):540–6.

    Article  CAS  PubMed  Google Scholar 

  17. Baldini M, Marcon A, Ulivieri F, Seghezzi S, Cassin R, Messina C, et al. Bone quality in beta-thalassemia intermedia: relationships with bone quantity and endocrine and hematologic variables. Ann Hematol. 2017;96(6):995–1003.

    Article  PubMed  Google Scholar 

  18. Eller-Vainicher C, Filopanti M, Palmieri S, Ulivieri FM, Morelli V, Zhukouskaya VV et al. Bone quality, as measured by trabecular bone score, in patients with primary hyperparathyroidism. 2013.

  19. Caparbo VF, Furlam P, Saad CG, Alvarenga JC, Aubry-Rozier B, Hans D, et al. Assessing bone impairment in ankylosing spondylitis (AS) using the trabecular bone score (TBS) and high-resolution peripheral quantitative computed tomography (HR-pQCT). Bone. 2019;122:8–13.

    Article  PubMed  Google Scholar 

  20. Kang K, Jung J, Lee S, Min H, Hong Y, Park S, et al. Trabecular bone score value is associated with new bone formation independently of fat metaplasia on spinal magnetic resonance imaging in patients with ankylosing spondylitis. Scand J Rheumatol. 2020;49(4):292–300.

    Article  CAS  PubMed  Google Scholar 

  21. Catalano A, Gaudio A, Agostino R, Morabito N, Bellone F, Lasco A. Trabecular bone score and quantitative ultrasound measurements in the assessment of bone health in Breast cancer survivors assuming aromatase inhibitors. J Endocrinol Investig. 2019;42(11):1337–43.

    Article  CAS  Google Scholar 

  22. Donaldson AA, Feldman HA, O’Donnell JM, Gopalakrishnan G, Gordon CM. Spinal bone texture assessed by trabecular bone score in adolescent girls with Anorexia Nervosa. J Clin Endocrinol Metabolism. 2015;100(9):3436–42.

    Article  CAS  Google Scholar 

  23. Levy-Shraga Y, Tripto-Shkolnik L, David D, Vered I, Stein D, Modan-Moses D. Low trabecular bone score in adolescent female inpatients with Anorexia Nervosa. Clin Nutr. 2019;38(3):1166–70.

    Article  PubMed  Google Scholar 

  24. Yoon HE, Kim Y, Shin SJ, Hong YS, Kang KY. Factors associated with low trabecular bone scores in patients with end-stage Kidney Disease. J Bone Miner Metab. 2019;37(3):475–83.

    Article  PubMed  Google Scholar 

  25. Yavropoulou MP, Vaios V, Pikilidou M, Chryssogonidis I, Sachinidou M, Tournis S, et al. Bone quality assessment as measured by trabecular bone score in patients with end-stage renal Disease on dialysis. J Clin Densitometry. 2017;20(4):490–7.

    Article  Google Scholar 

  26. McCloskey EV, Odén A, Harvey NC, Leslie WD, Hans D, Johansson H, et al. A meta-analysis of trabecular bone score in fracture risk prediction and its relationship to FRAX. J Bone Miner Res. 2016;31(5):940–8.

    Article  PubMed  Google Scholar 

  27. Rabier B, Héraud A, Grand-Lenoir C, Winzenrieth R, Hans D. A multicentre, retrospective case–control study assessing the role of trabecular bone score (TBS) in menopausal Caucasian women with low areal bone mineral density (BMDa): analysing the odds of vertebral fracture. Bone. 2010;46(1):176–81.

    Article  PubMed  Google Scholar 

  28. Mirzaei A, Jahed SA, Nojomi M, Rajaei A, Zabihiyeganeh M. A study of the value of trabecular bone score in fracture risk assessment of postmenopausal women. Taiwan J Obstet Gynecol. 2018;57(3):389–93.

    Article  PubMed  Google Scholar 

  29. Kim H-A, Lee HY, Jung J-Y, Suh C-H, Chung Y-S, Choi YJ. Trabecular bone score is a useful parameter for the prediction of vertebral fractures in patients with polymyalgia rheumatica. J Clin Densitometry. 2020;23(3):373–80.

    Article  Google Scholar 

  30. Yamamoto M, Yamauchi M, Sugimoto T. Prevalent vertebral fracture is dominantly associated with spinal microstructural deterioration rather than bone mineral density in patients with type 2 Diabetes Mellitus. PLoS ONE. 2019;14(9):e0222571.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Grigorie D, Coles D, Sucaliuc A. Trabecular bone score (TBS) has a poor discriminative power for vertebral fractures in 153 Romanian patients with primary hyperparathyroidism. Acta Endocrinol (Bucharest). 2018;14(2):208.

    Article  CAS  Google Scholar 

  32. Brunerová L, Lažanská R, Kasalický P, Verešová J, Potočková J, Fialová A, et al. Predictors of bone fractures in a single-centre cohort of hemodialysis patients: a 2-year follow-up study. Int Urol Nephrol. 2018;50(9):1721–8.

    Article  PubMed  Google Scholar 

  33. Di Gregorio S, Del Rio L, Rodriguez-Tolra J, Bonel E, Garcia M, Winzenrieth R. Comparison between different bone treatments on areal bone mineral density (aBMD) and bone microarchitectural texture as assessed by the trabecular bone score (TBS). Bone. 2015;75:138–43.

    Article  PubMed  Google Scholar 

  34. Saag KG, Agnusdei D, Hans D, Kohlmeier LA, Krohn KD, Leib ES, et al. Trabecular bone score in patients with chronic glucocorticoid therapy–Induced osteoporosis treated with Alendronate or Teriparatide. Arthritis & Rheumatology. 2016;68(9):2122–8.

    Article  CAS  Google Scholar 

  35. Schousboe JT, Vo TN, Langsetmo L, Taylor BC, Kats AM, Schwartz AV, et al. Predictors of change of trabecular bone score (TBS) in older men: results from the osteoporotic fractures in men (MrOS) study. Osteoporos Int. 2018;29(1):49–59.

    Article  CAS  PubMed  Google Scholar 

  36. María R-S, Marta P-M, Sonia S, Natalia G-G, Tamara M, Ignasi T, et al. TBS and BMD at the end of AI-therapy: a prospective study of the B-ABLE cohort. Bone. 2016;92:1–8.

    Article  PubMed  Google Scholar 

  37. Martín-Martín A, Thelwall M, Orduna-Malea E, Delgado López-Cózar E. Google Scholar, Microsoft Academic, Scopus, dimensions, web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations. Scientometrics. 2021;126(1):871–906.

    Article  PubMed  Google Scholar 

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Contributions

HDB, HA, and NF conceived the study. HDB, HA, and NF designed the study protocol. HDB, HA, NF, SN, and HY focused on analysis and interpretation of the findings. NF, MJM, SH, MS, and KK revised the manuscript. BL and AO revised the manuscript and focused on the intellectual content. All authors read and approved the final manuscript.

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Correspondence to Noushin Fahimfar or Hossein Aazami.

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Dehghanbanadaki, H., Fahimfar, N., Aazami, H. et al. Bibliometric analysis of publications on trabecular bone score (TBS). J Diabetes Metab Disord (2023). https://doi.org/10.1007/s40200-023-01338-7

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