Abstract
Summary
This analysis was conducted to assess the effect of high versus lower doses of ibandronate on nonvertebral fractures. The results were adjusted for clinical fracture, age, and bone density. The treatment effect was dose-dependent. Higher doses of ibandronate significantly reduced the risk of nonvertebral fractures more effectively compared with lower doses.
Introduction
The objective of this study was to assess the efficacy of different doses of ibandronate on nonvertebral fractures in a pooled analysis.
Methods
Eight randomized trials of ibandronate were reviewed for inclusion. Alternative definitions of high versus low doses based on annual cumulative exposure (ACE) were explored. A time-to-event analysis was conducted using Kaplan–Meier methodology. Hazard ratios (HR) were derived using Cox regression and adjusted for covariates.
Results
Combining higher ACE doses of ≥ 10.8 mg (150 mg once monthly, 3 mg i.v. quarterly, and 2 mg i.v. every 2 months) versus ACE doses of 5.5 mg, from two trials, resulted in an HR 0.62 (95% CI 0.396–0.974, p = 0.038). There was a dose–response trend with increasing ACE doses (7.2–12 mg) versus ACE of 5.5 mg.
Conclusions
A dose–response effect on nonvertebral fractures was observed when comparing high with low ACE doses. A significant reduction in nonvertebral fractures was noted when pooling data from trials using ACE doses of ≥ 10.8 mg versus ACE ≤ 7.2 mg; and with ACE ≥ 10.8 mg versus ACE of 5.5 mg (38% reduction). Higher ibandronate dose levels (150 mg monthly or 3 mg i.v. quarterly) significantly reduced nonvertebral fracture risk in postmenopausal women.
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Acknowledgements
Funding for this project was from an unrestricted research grant from F. Hoffman-La Roche. The authors would like to thank Hoffman La Roche and GlaxoSmithKline for supplying the individual patient data utilized in the analysis, and acknowledge that the analysis was completed without influence from either company. A. Cranney (AC) would like to acknowledge salary support from the Canadian Institutes of Health Research.
Conflicts of interest
Ethel S. Siris: consultant for Wyeth, Procter & Gamble/sanofi-aventis, Novartis, Eli Lilly, Roche/GlaxoSmithKline, Amgen; speaker for Eli Lilly, Procter & Gamble/Sanofi-aventis, Novartis.
Stuart L. Silverman: speaker’s bureau for Eli Lilly, Merck, Procter & Gamble, Roche; consultant for Merck, Procter & Gamble, Wyeth, Roche, Novartis; research support: Novartis, Eli Lilly, Wyeth, Roche, Procter & Gamble, Merck; board of directors, Compumed
Philip Sambrook: consultant/speaker: for Amgen, GSK, Merck, Novartis, sanofi-aventis, Servier; clinical trials for Amgen, Servier, GSK, Merck, Novartis
Jean-Yves Reginster: consulting fees or paid advisory boards, Servier, Novartis, Negma, Eli Lilly, Wyeth, Amgen, GlaxoSmithKline, Roche, Merckle, Nycomed, NPS, Theramex; lecture fees when speaking from Merck Sharp and Dohme, Eli Lilly, Rottapharm, IBSA, Genevrier, Novartis, Servier, Roche, GlaxoSmithKline, Teijin, Teva, Ebewee Pharma, Zodiac, Analis, Theramex, Nycomed, Novo-Nordisk; grant support from Bristol Myers Squibb, Merck Sharp & Dohme, Rottapharm, Teva, Eli Lilly, Novartis, Roche, GlaxoSmithKline, Amgen, Servier
Socrates Papapoulos: consulting fees from Amgen, Eli Lilly, Merck & Co, Novartis, Procter & Gamble, Roche/GSK, Servier; research grant support from Merck Sharp & Dohme, Procter & Gamble
Pierre D. Delmas: research grants from Procter & Gamble, Eli Lilly, Amgen; consultation for and/or speaker fees from: Acceleron, Amgen, Eli Lilly, GSK, MSD, Novartis, Nycomed, Organon, Pfizer, Procter & Gamble, Roche, Sanofi-Aventis, Servier, Wyeth, Zelos
Jonathan D. Adachi: consultant/speaker: for Amgen, Astra Zeneca, Eli Lilly, GSK, Merck, Novartis, Pfizer, Procter & Gamble, Roche, Sanofi-Aventis, Servier; clinical trials for Amgen, Eli Lilly, GSK, Merck, Novartis, Pfizer, Procter & Gamble, Roche
A. Cranney: consultant fees from Amgen, Merck Frosst, Procter & Gamble
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Cranney, A., Wells, G.A., Yetisir, E. et al. Ibandronate for the prevention of nonvertebral fractures: a pooled analysis of individual patient data. Osteoporos Int 20, 291–297 (2009). https://doi.org/10.1007/s00198-008-0653-8
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DOI: https://doi.org/10.1007/s00198-008-0653-8