Literature DB >> 25749740

Endpoint comparison for bone mineral density measurements in North Central Cancer Treatment Group cancer clinical trials N02C1 and N03CC (Alliance).

A C Dueck1, J Singh, P Atherton, H Liu, P Novotny, S Hines, C L Loprinzi, E A Perez, A Tan, K Burger, X Zhao, B Diekmann, J A Sloan.   

Abstract

UNLABELLED: Bone mineral density (BMD) measurement can vary depending upon anatomical site, machine, and normative values used. This analysis compared different BMD endpoints in two clinical trials. Trial results differed across endpoints. Future clinical trials should consider inclusion of multiple endpoints in sensitivity analysis to ensure sound overall study conclusions.
INTRODUCTION: Methodological issues hamper efficacy assessment of osteoporosis prevention agents in cancer survivors. Osteoporosis diagnosis can vary depending upon which bone mineral density (BMD) anatomical site and machine is used and which set of normative values are applied. This analysis compared different endpoints for osteoporosis treatment efficacy assessment in two clinical studies.
METHODS: Data from North Central Cancer Treatment Group phase III clinical trials N02C1 and N03CC (Alliance) were employed involving 774 patients each comparing two treatments for osteoporosis prevention. Endpoints for three anatomical sites included raw BMD score (RawBMD); raw machine-based, sample-standardized, and reference population-standardized T scores (RawT, TSamp, TRef); and standard normal percentile corresponding to the reference population-standardized T score (TPerc). For each, treatment arm comparison was carried out using three statistical tests using change and percentage change from baseline (CB, %CB) at 1 year.
RESULTS: Baseline correlations among endpoints ranged from 0.79 to 1.00. RawBMD and TPerc produced more statistically significant results (14 and 19 each out of 36 tests) compared to RawT (11/36), TSamp (8/36), and TRef (7/36). Spine produced the most statistically significant results (26/60) relative to femoral neck (20/60) and total hip (13/60). Lastly, CB resulted in 44 statistically significant results out of 90 tests, whereas %CB resulted in only 15 significant results.
CONCLUSIONS: Treatment comparisons and interpretations were different across endpoints and anatomical sites. Transforming via sample statistics provided similar results as transforming via reference or machine-based norms. However, RawBMD and TPerc may be more sensitive to change as clinical trial endpoints.

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Year:  2015        PMID: 25749740      PMCID: PMC4484303          DOI: 10.1007/s00198-015-3091-4

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


  27 in total

Review 1.  An update on the diagnosis of osteoporosis.

Authors:  J A Kanis
Journal:  Curr Rheumatol Rep       Date:  2000-02       Impact factor: 4.592

2.  Precision and discriminatory ability of calcaneal bone assessment technologies.

Authors:  S L Greenspan; M L Bouxsein; M E Melton; A H Kolodny; J H Clair; P T Delucca; M Stek; K G Faulkner; E S Orwoll
Journal:  J Bone Miner Res       Date:  1997-08       Impact factor: 6.741

3.  Assessment of fracture risk and its application to screening for postmenopausal osteoporosis: synopsis of a WHO report. WHO Study Group.

Authors:  J A Kanis
Journal:  Osteoporos Int       Date:  1994-11       Impact factor: 4.507

Review 4.  Advances in osteoporosis: better identification of risk factors can reduce morbidity and mortality.

Authors:  O Johnell
Journal:  J Intern Med       Date:  1996-04       Impact factor: 8.989

5.  Comparisons of noninvasive bone mineral measurements in assessing age-related loss, fracture discrimination, and diagnostic classification.

Authors:  S Grampp; H K Genant; A Mathur; P Lang; M Jergas; M Takada; C C Glüer; Y Lu; M Chavez
Journal:  J Bone Miner Res       Date:  1997-05       Impact factor: 6.741

6.  Site of osteodensitometry in perimenopausal women: correlation and limits of agreement between anatomic regions.

Authors:  B Abrahamsen; T B Hansen; L B Jensen; A P Hermann; P Eiken
Journal:  J Bone Miner Res       Date:  1997-09       Impact factor: 6.741

7.  Spinal and femoral DXA for the assessment of spinal osteoporosis.

Authors:  M Jergas; H K Genant
Journal:  Calcif Tissue Int       Date:  1997-11       Impact factor: 4.333

8.  Intravenous zoledronic acid in postmenopausal women with low bone mineral density.

Authors:  Ian R Reid; Jacques P Brown; Peter Burckhardt; Zebulun Horowitz; Peter Richardson; Ulrich Trechsel; Albert Widmer; Jean-Pierre Devogelaer; Jean-Marc Kaufman; Philippe Jaeger; Jean-Jacques Body; Maria Luisa Brandi; Johann Broell; Raffaele Di Micco; Andrea Riccardo Genazzani; Dieter Felsenberg; Joachim Happ; Michael J Hooper; Jochen Ittner; Georg Leb; Hans Mallmin; Timothy Murray; Sergio Ortolani; Alessandro Rubinacci; Maria Saaf; Goran Samsioe; Leon Verbruggen; Pierre J Meunier
Journal:  N Engl J Med       Date:  2002-02-28       Impact factor: 91.245

9.  The use of percentage change from baseline as an outcome in a controlled trial is statistically inefficient: a simulation study.

Authors:  A J Vickers
Journal:  BMC Med Res Methodol       Date:  2001-06-28       Impact factor: 4.615

Review 10.  Official positions of the International Society for Clinical Densitometry.

Authors:  Edward S Leib; E Michael Lewiecki; Neil Binkley; Ronald C Hamdy
Journal:  J Clin Densitom       Date:  2004       Impact factor: 2.963

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