TY - JOUR
T1 - Treatment-related changes in bone mineral density as a surrogate biomarker for fracture risk reduction
T2 - meta-regression analyses of individual patient data from multiple randomised controlled trials
AU - Foundation for the National Institutes of Health Bone Quality Project
AU - Black, Dennis M.
AU - Bauer, Douglas C.
AU - Vittinghoff, Eric
AU - Lui, Li Yung
AU - Grauer, Andreas
AU - Marin, Fernando
AU - Khosla, Sundeep
AU - de Papp, Anne
AU - Mitlak, Bruce
AU - Cauley, Jane A.
AU - McCulloch, Charles E.
AU - Eastell, Richard
AU - Bouxsein, Mary L.
N1 - Funding Information:
Scientific and financial support for the FNIH Bone Quality Project are made possible through direct contributions to FNIH by AgNovos Healthcare, American Society for Bone and Mineral Research, Amgen, Daiichi Sankyo, Dairy Research Institute, Eli Lilly, Merck Sharp & Dohme, and Roche Diagnostics. In-kind data to support the project was provided by Actavis, Amgen, Bayer Schering Pharma Oy, Eli Lilly, GlaxoSmithKline, Merck Sharp & Dohme, National Institute of Arthritis and Musculoskeletal and Skin Diseases and National Heart, Lung, and Blood Institute, Novartis, Pfizer, Roche Diagnostics Corporation, and Sermonix. The authors would like to acknowledge Lucy Wu (UCSF) for her assistance throughout the project and in preparation of the manuscript and Lisa Palermo (UCSF) for her work in programming and managing compilation harmonization of received data.
Funding Information:
DMB reports personal fees from Merck, Amgen, Asahi-Kasei, and Effx, during the conduct of the study, personal fees from Eli Lilly and University of Pittsburgh, and grant support from FNIH. EV reports salary support from FNIH, during the conduct of the study. AG was an Amgen employee during data collection and analysis. FM reports personal fees from Eli Lilly. AdP is a full-time employee and stock holder in Merck. BM is an employee and shareholder of Radius Health and a retiree and shareholder of Eli Lilly. CEM reports grant support from FNIH, during the conduct of the study. RE reports grants from Amgen and Alexion, grants and personal fees from Immunodiagnostic Systems, Roche, and Nittobo, and personal fees from Eli Lilly, GlaxoSmithKline Nutrition, Mereo Sandoz, AbbVie, Samsung, Haoma Medica, Elsevier, CL Bio, FNIH, and Viking. MLB received a grant from the FNIH in relation to the submitted work, and grants from Amgen and Radius Pharma unrelated to this work.
Funding Information:
Scientific and financial support for the FNIH Bone Quality Project are made possible through direct contributions to FNIH by AgNovos Healthcare, American Society for Bone and Mineral Research, Amgen, Daiichi Sankyo, Dairy Research Institute, Eli Lilly, Merck Sharp & Dohme, and Roche Diagnostics. In-kind data to support the project was provided by Actavis, Amgen, Bayer Schering Pharma Oy, Eli Lilly, GlaxoSmithKline, Merck Sharp & Dohme, National Institute of Arthritis and Musculoskeletal and Skin Diseases and National Heart, Lung, and Blood Institute, Novartis, Pfizer, Roche Diagnostics Corporation, and Sermonix. The authors would like to acknowledge Lucy Wu (UCSF) for her assistance throughout the project and in preparation of the manuscript and Lisa Palermo (UCSF) for her work in programming and managing compilation harmonization of received data.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/8
Y1 - 2020/8
N2 - Background: The validation of bone mineral density (BMD) as a surrogate outcome for fracture would allow the size of future randomised controlled osteoporosis registration trials to be reduced. We aimed to determine the association between treatment-related changes in BMD, assessed by dual-energy x-ray absorptiometry, and fracture outcomes, including the proportion of treatment effect explained by BMD changes. Methods: We did a pooled analysis of individual patient data from multiple randomised placebo-controlled clinical trials. We included data from multicentre, randomised, placebo-controlled, double-blind trials of osteoporosis medications that included women and men at increased osteoporotic fracture risk. Using individual patient data for each trial we calculated mean 24-month BMD percent change together with fracture reductions and did a meta-regression of the association between treatment-related differences in BMD changes (percentage difference, active minus placebo) and fracture risk reduction. We also used individual patient data to determine the proportion of anti-fracture treatment effect explained by BMD changes and the BMD change needed in future trials to ensure fracture reduction efficacy. Findings: Individual patient data from 91 779 participants of 23 randomised, placebo-controlled trials were included. The trials had 1–9 years of follow-up and included 12 trials of bisphosphonate, one of odanacatib, two of hormone therapy (one of conjugated equine oestrogen and one of conjugated equine oestrogen plus medroxyprogesterone acetate), three of PTH receptor agonists, one of denosumab, and four of selective oestrogen receptor modulator trials. The meta-regression revealed significant associations between treatment-related changes in hip, femoral neck, and spine BMD and reductions in vertebral (r2 0·73, p<0·0001; 0·59, p=0·0005; 0·61, p=0·0003), hip (0·41, p=0·014; 0·41, p=0·0074; 0·34, p=0·023) and non-vertebral fractures (0·53, p=0·0021; 0·65, p<0·0001; 0·51, p=0·0019). Minimum 24-month percentage changes in total hip BMD providing almost certain fracture reductions in future trials ranged from 1·42% to 3·18%, depending on fracture site. Hip BMD changes explained substantial proportions (44–67%) of treatment-related fracture risk reduction. Interpretation: Treatment-related BMD changes are strongly associated with fracture reductions across randomised trials of osteoporosis therapies with differing mechanisms of action. These analyses support BMD as a surrogate outcome for fracture outcomes in future randomised trials of new osteoporosis therapies and provide an important demonstration of the value of public access to individual patient data from multiple trials. Funding: Foundation for National Institutes of Health.
AB - Background: The validation of bone mineral density (BMD) as a surrogate outcome for fracture would allow the size of future randomised controlled osteoporosis registration trials to be reduced. We aimed to determine the association between treatment-related changes in BMD, assessed by dual-energy x-ray absorptiometry, and fracture outcomes, including the proportion of treatment effect explained by BMD changes. Methods: We did a pooled analysis of individual patient data from multiple randomised placebo-controlled clinical trials. We included data from multicentre, randomised, placebo-controlled, double-blind trials of osteoporosis medications that included women and men at increased osteoporotic fracture risk. Using individual patient data for each trial we calculated mean 24-month BMD percent change together with fracture reductions and did a meta-regression of the association between treatment-related differences in BMD changes (percentage difference, active minus placebo) and fracture risk reduction. We also used individual patient data to determine the proportion of anti-fracture treatment effect explained by BMD changes and the BMD change needed in future trials to ensure fracture reduction efficacy. Findings: Individual patient data from 91 779 participants of 23 randomised, placebo-controlled trials were included. The trials had 1–9 years of follow-up and included 12 trials of bisphosphonate, one of odanacatib, two of hormone therapy (one of conjugated equine oestrogen and one of conjugated equine oestrogen plus medroxyprogesterone acetate), three of PTH receptor agonists, one of denosumab, and four of selective oestrogen receptor modulator trials. The meta-regression revealed significant associations between treatment-related changes in hip, femoral neck, and spine BMD and reductions in vertebral (r2 0·73, p<0·0001; 0·59, p=0·0005; 0·61, p=0·0003), hip (0·41, p=0·014; 0·41, p=0·0074; 0·34, p=0·023) and non-vertebral fractures (0·53, p=0·0021; 0·65, p<0·0001; 0·51, p=0·0019). Minimum 24-month percentage changes in total hip BMD providing almost certain fracture reductions in future trials ranged from 1·42% to 3·18%, depending on fracture site. Hip BMD changes explained substantial proportions (44–67%) of treatment-related fracture risk reduction. Interpretation: Treatment-related BMD changes are strongly associated with fracture reductions across randomised trials of osteoporosis therapies with differing mechanisms of action. These analyses support BMD as a surrogate outcome for fracture outcomes in future randomised trials of new osteoporosis therapies and provide an important demonstration of the value of public access to individual patient data from multiple trials. Funding: Foundation for National Institutes of Health.
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U2 - 10.1016/S2213-8587(20)30159-5
DO - 10.1016/S2213-8587(20)30159-5
M3 - Article
C2 - 32707115
AN - SCOPUS:85088092212
SN - 2213-8587
VL - 8
SP - 672
EP - 682
JO - The Lancet Diabetes and Endocrinology
JF - The Lancet Diabetes and Endocrinology
IS - 8
ER -