Literature DB >> 15565352

The tale of the T-score: review and perspective.

Kenneth G Faulkner1.   

Abstract

The T-score is well known to anyone working in the field of bone densitometry. It is the primary output from a bone densitometry system and is most often used for diagnosis of osteoporosis and for making treatment decisions. Despite widespread acceptance of the T-score, most clinicians are unfamiliar with the historical evolution of the T-score as a clinical measure. Furthermore, evidence is mounting that the T-score is not the optimal diagnostic parameter for clinical decision making. Many additional risk factors have been reported which can be combined with bone density results to assess absolute fracture risk. This editorial provides an historical review of the T-score, followed by summary of the status of the T-score, and concludes with suggestions for the future use of the T-score in bone densitometry.

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Year:  2004        PMID: 15565352     DOI: 10.1007/s00198-004-1779-y

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  24 in total

Review 1.  Bone matters: are density increases necessary to reduce fracture risk?

Authors:  K G Faulkner
Journal:  J Bone Miner Res       Date:  2000-02       Impact factor: 6.741

2.  Assessment of spinal and femoral bone density by dual X-ray absorptiometry: comparison of lunar and hologic instruments.

Authors:  N A Pocock; P N Sambrook; T Nguyen; P Kelly; J Freund; J A Eisman
Journal:  J Bone Miner Res       Date:  1992-09       Impact factor: 6.741

3.  Appendicular bone density and age predict hip fracture in women. The Study of Osteoporotic Fractures Research Group.

Authors:  S R Cummings; D M Black; M C Nevitt; W S Browner; J A Cauley; H K Genant; S R Mascioli; J C Scott; D G Seeley; P Steiger
Journal:  JAMA       Date:  1990-02-02       Impact factor: 56.272

4.  A comparison of single and multi-site BMC measurements for assessment of spine fracture probability.

Authors:  R D Wasnich; P D Ross; J W Davis; J M Vogel
Journal:  J Nucl Med       Date:  1989-07       Impact factor: 10.057

Review 5.  Epidemiology of fractures and assessment of fracture risk.

Authors:  D M Black; C Cooper
Journal:  Clin Lab Med       Date:  2000-09       Impact factor: 1.935

6.  Pre-existing fractures and bone mass predict vertebral fracture incidence in women.

Authors:  P D Ross; J W Davis; R S Epstein; R D Wasnich
Journal:  Ann Intern Med       Date:  1991-06-01       Impact factor: 25.391

7.  Classification of osteoporosis in the elderly is dependent on site-specific analysis.

Authors:  S L Greenspan; L Maitland-Ramsey; E Myers
Journal:  Calcif Tissue Int       Date:  1996-06       Impact factor: 4.333

8.  Bone density at various sites for prediction of hip fractures. The Study of Osteoporotic Fractures Research Group.

Authors:  S R Cummings; D M Black; M C Nevitt; W Browner; J Cauley; K Ensrud; H K Genant; L Palermo; J Scott; T M Vogt
Journal:  Lancet       Date:  1993-01-09       Impact factor: 79.321

Review 9.  Diagnosis of osteoporosis and assessment of fracture risk.

Authors:  John A Kanis
Journal:  Lancet       Date:  2002-06-01       Impact factor: 79.321

Review 10.  Executive summary International Society for Clinical Densitometry position development conference Denver, Colorado July 20-22, 2001.

Authors:  Leon Lenchik; Edward S Leib; Ronald C Hamdy; Neil C Binkley; Paul D Miller; Nelson B Watts
Journal:  J Clin Densitom       Date:  2002       Impact factor: 2.963

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  16 in total

1.  Validation of the Cummings' risk score; how well does it identify women with high risk of hip fracture: the Tromsø Study.

Authors:  Luai A Ahmed; Henrik Schirmer; Vinjar Fønnebø; Ragnar M Joakimsen; Gro K Berntsen
Journal:  Eur J Epidemiol       Date:  2006-11-22       Impact factor: 8.082

2.  Canadian Consensus Conference on osteoporosis, 2006 update.

Authors:  Jacques P Brown; Michel Fortier; Heather Frame; André Lalonde; Alexandra Papaioannou; Vyta Senikas; Chui Kin Yuen
Journal:  J Obstet Gynaecol Can       Date:  2006-02

Review 3.  Osteoporosis diagnosis in men: the T-score controversy revisited.

Authors:  Neil Binkley; Robert Adler; John P Bilezikian
Journal:  Curr Osteoporos Rep       Date:  2014-12       Impact factor: 5.096

4.  The prevalence of significant left-right differences in hip bone mineral density.

Authors:  R Hamdy; G M Kiebzak; E Seier; N B Watts
Journal:  Osteoporos Int       Date:  2006-09-20       Impact factor: 4.507

5.  Applying ethnic-specific bone mineral density T-scores to Chinese women in the USA.

Authors:  J C Lo; S Kim; M Chandra; B Ettinger
Journal:  Osteoporos Int       Date:  2016-07-28       Impact factor: 4.507

6.  Different reference BMDs affect the prevalence of osteoporosis.

Authors:  Ki Jin Jung; Chin Youb Chung; Moon Seok Park; Soon-Sun Kwon; Sang Young Moon; In Hyeok Lee; Ka Hyun Kim; Kyoung Min Lee
Journal:  J Bone Miner Metab       Date:  2015-06-10       Impact factor: 2.626

7.  Association between fibroblast growth factor 21 and bone mineral density in adults.

Authors:  Ruo-Han Hao; Jun-Ling Gao; Meng Li; Wei Huang; Dong-Li Zhu; Hlaing Nwe Thynn; Shan-Shan Dong; Yan Guo
Journal:  Endocrine       Date:  2018-01-03       Impact factor: 3.633

Review 8.  Osteoporosis in children and adolescents: etiology and management.

Authors:  Giampiero Igli Baroncelli; Silvano Bertelloni; Federica Sodini; Giuseppe Saggese
Journal:  Paediatr Drugs       Date:  2005       Impact factor: 3.022

Review 9.  The relationship between bone mineral density and fracture risk.

Authors:  Michael R McClung
Journal:  Curr Osteoporos Rep       Date:  2005-06       Impact factor: 5.096

10.  Fragility fracture prevalence among elderly Chinese is no more than half of that of elderly Caucasians.

Authors:  Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2022-02
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