New paradigms for identifying predisposition to bone injuries in young athletes: Significant keys for rapid diagnostics

doi:10.5312/wjo.123460

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World Journal of Orthopedics

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2218-5836

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Orthop. Aug 18, 2026; 17(8): 123460
Published online Aug 18, 2026. doi: 10.5312/wjo.123460

Table 1 Number and sex-age structure of young people involved in groups, n (%)/median (interquartile range)

Variables	Persons with repeated bone injuries (main group)	Persons without repeated bone injuries (control group)	P value
Total number	36	502
Female number	26 (72.2)	362 (72.1)	Р = 0.946
Male number	10 (27.8)	140 (27.9)	Р = 0.946
Age	24.50 (19.00-27.25)	23.50 (19.25-27.00)	Р = 0.523

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Citation: Sankova MV, Achkasov EE, Nikolenko VN, Oganesyan MV, Rizaeva NA, Sankov AV, Pires LAS, Zharikova TS, Zharikov YO. New paradigms for identifying predisposition to bone injuries in young athletes: Significant keys for rapid diagnostics. World J Orthop 2026; 17(8): 123460
URL: https://www.wjgnet.com/2218-5836/full/v17/i8/123460.htm
DOI: https://dx.doi.org/10.5312/wjo.123460

Sankova MV, Achkasov EE, Nikolenko VN, Oganesyan MV, Rizaeva NA, Sankov AV, Pires LAS, Zharikova TS, Zharikov YO. New paradigms for identifying predisposition to bone injuries in young athletes: Significant keys for rapid diagnostics. World J Orthop 2026; 17(8): 123460 [DOI: 10.5312/wjo.123460]

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