Abstract
Purpose
The efficacy comparison of osteoporosis treatments can be hindered by the absence of head-to-head trials; instead, network meta-analyses (NMAs) have been used to determine comparative effectiveness. This study was the first to investigate the impact of time point–specific NMAs of osteoporosis treatments on variability in treatments’ onset of action caused by their different mechanisms of actions and trial designs.
Methods
A systematic literature review was conducted to identify randomized controlled trials (RCTs) of treatments for postmenopausal women with osteoporosis, including romosozumab (ROMO), teriparatide (TPTD), abaloparatide (ABL), alendronate (ALN), risedronate (RIS), ibandronate (IB), zoledronic acid/zoledronate (ZOL), denosumab (DEN), and raloxifene (RLX), on at least 1 fracture or bone mineral density (BMD) outcome. Of 100 RCTs identified in 5 databases, 27 RCTs were included for NMAs of new vertebral, nonvertebral, and hip fracture outcomes at 12, 24, and 36 months, and 47 RCTs were included for NMAs of BMD outcomes at lumbar spine, total hip, and femoral neck to compare the relative efficacy of osteoporosis treatments. Quality of included studies was assessed using the Cochrane Risk of Bias tool.
Findings
For vertebral fractures, TPTD (83.63%), ABL (69.11%), and ROMO/ALN (78.70%) had the highest probability to be the most effective treatment at 12, 24, and 36 months, respectively. ROMO/ALN had the highest probability (54.4%, 64.69%, and 90.29%, respectively) to be the most effective treatment for nonvertebral fractures at 12, 24, and 36 months. For hip fractures, ROMO/ALN (46.31%), ABL (61.1%), and DEN (55.21%) had the highest probability to be the most effective treatment at 12, 24, and 36 months, respectively. ROMO had the highest probability (76.06%, 44.19%, and 51.78%, respectively) to be the most effective treatment for BMD outcomes at lumbar spine, total hip, and femoral neck.
Implications
The importance of indirectly comparing available osteoporosis treatments using time point–specific NMAs was confirmed because indirect comparison results differed substantially across time points.
Introduction
Osteoporosis is a progressive, systemic, skeletal disorder characterized by low bone mass, a decrease in bone strength, and increased susceptibility to fragility fractures. Osteoporosis predominantly affects postmenopausal women, with 1 in 3 women >50 years of age experiencing a fragility fracture during their lifetime compared with 1 in 5 men ≥50 years of age. The disability and mortality associated with fragility fractures represents a significant health, social, and economic burden.
Several classes of treatments are available to treat osteoporosis. Most are long-term treatments that decrease bone resorption (antiresorptive agents) and include bisphosphonates (alendronate [ALN], risedronate [RIS], ibandronate [IB], and zoledronate [ZOL]), selective estrogen receptors (raloxifene [RLX]), and antibody-based receptor activator of nuclear factor κβ (RANK) ligand inhibitor therapy (denosumab [DEN]).
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Bone-building agents, such as parathyroid hormone synthetic analogs (ie, teriparatide [TPTD] and abaloparatide [ABL]), stimulate bone remodeling and increase bone mass and are used for shorter treatment periods, typically followed by an antiresorptive.
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Romosozumab (ROMO) stimulates bone formation while also decreasing bone resorption. ROMO is used for shorter periods than TPTD and ABL and should be followed by an antiresorptive.
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, The efficacy of osteoporosis treatments has been assessed in multiple randomized controlled trials (RCTs), most of which compared investigational treatments with placebo (PBO). In the absence of RCTs against active comparators of interest, indirect comparative methods are commonly used to assess the comparative efficacy of different treatments. To date, several network meta-analyses (NMAs) have been conducted to determine the relative effectiveness of osteoporosis treatments.
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However, NMAs conducted in osteoporosis might be susceptible to considerable heterogeneity and nonsimilarity because of differing RCT populations and reporting methods (ie, robustness of NMAs in osteoporosis depends on quality of RCT data). For example, baseline characteristics, such as bone mineral density (BMD) scores, fracture history, and patients’ treatment before enrollment, may affect the comparative results of published osteoporosis NMAs.
Research has found that the relative risk (RR) of a subsequent fracture is greatest after an index fracture. Almost 50% of the subsequent fractures are expected to occur during 10 years in the first 2 years after index fracture, a period of markedly increased fracture hazard, which is referred to as the period of imminent fracture risk.
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Therefore, there is a need for treatments that rapidly reduce the fracture risk for patients after an index fracture.
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Imminent fracture risk was also revealed to be an important factor when determining the economic value of osteoporosis treatments in cost-effectiveness analyses.
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With different mechanisms of action of osteoporosis treatments indicating variability in the time needed to reach meaningful fracture risk reduction, it would be expected that NMAs would be sensitive to the duration each treatment requires to reach meaningful fracture risk reductions. However, current NMA approaches in osteoporosis have often disregarded time point–specific treatment efficacy and have instead assumed equal efficacy across time points and only considered the final efficacy time point reported in each RCT. This time point can range from 12 months for bone-building treatments to 60 months for long-term bisphosphonate treatments or can even be event driven, depending on the study design.
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Clinical effectiveness of denosumab, raloxifene, romosozumab, and teriparatide for the prevention of osteoporotic fragility fractures: A systematic review and network meta-analysis.
Because of their mechanisms of action, bone-building treatments, such as ROMO and TPTD, have the potential to quickly reach important fracture risk reduction benefits for patients at imminent risk of a subsequent fracture.
The impact of different time points on efficacy estimates in an NMA context has not been investigated to date. The objectives of this study were (1) to conduct a systematic literature review (SLR) of osteoporosis RCTs on fracture outcomes and changes in BMD, (2) to perform an NMA by indirectly comparing osteoporosis treatments for fracture outcomes separately at 12, 24, and 36 months and BMD outcomes, and to (3) discuss the appropriateness of performing NMAs in osteoporosis.
Discussion
This study aimed to investigate the impact of different time points ofefficacy estimates in an NMA. To do so, we conducted a rigorous and broad SLR in which searches were not limited by date of publication, language, or outcomes and which adhered to accepted guidelines to reduce the risk of bias. Our SLR identified 35 fracture and 65 nonfracture RCTs, of which 27 and 42 RCTs were included in our NMAs on fracture and BMD outcomes, respectively. The NMAs were conducted using published and validated WingBUGS codes according to NICE technical guidelines (NICE Decision Support Unit Technical Support Documents 2 and 4).
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Our NMA found that at different time points, ranging from 12 to 36 months, different treatments had the highest probability of being the most effective treatment for fracture outcomes, confirming the importance of time point when making these assessments. The NMA revealed TPTD, ABL, and ROMO/ALN to have highest probability of being the most effective treatment for vertebral fractures at 12, 24, and 36 months, respectively. For nonvertebral fractures, ROMO/ALN had the highest probability of being the most effective treatment across all time points. For hip fractures, ROMO, ABL, and DEN had the highest probability of being the most effective treatment at 12, 24, and 36 months, respectively. Across time points and fracture sites, ROMO/ALN was the treatment most frequently reported as having either the highest or second-highest probability of being the most effective treatment. For BMD outcomes, which are strongly associated with fracture reductions, the treatment with the greatest number of statistically significant pairwise comparisons was ROMO, with statistically significant changes in BMD versus 6 of 9 treatment comparators across every BMD site.
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The NMA did not reveal statistically significant differences in reduction of fracture risk between bone-building treatments (ROMO, TPTD, and ABL). However, pairwise comparisons found that ROMO/ALN was more frequently statistically significant versus non–bone-building treatments than TPTD and ABL; namely, ROMO/ALN had a statistically significant fracture risk reduction in the pairwise comparisons at 24 months versus ZOL for new vertebral fractures, versus DEN and ZOL for nonvertebral fractures, and versus PBO for hip fractures, which TPTD and ABL did not have. There was only 1 scenario in which TPTD had a statistically significant fracture risk reduction against a non–bone-building treatment, and ROMO/ALN did not (vs RIS for hip fractures at 12 months). Although ROMO/ALN achieved statistically significant fracture risk reduction at 36 months versus PBO, RLX, ALN, and RIS for new vertebral fractures, versus PBO, RLX, ALN, ZOL, and DEN for nonvertebral fractures, and versus PBO, RLX, and ALN for hip fractures, there was no fracture reduction evidence from RCTs at 36 months for TPTD or ABL. ROMO had statistically significant improvements in BMD over TPTD across all BMD sites (LS, TH, and FN).
The robustness of any NMA depends on the quality of RCT data available. NMAs in osteoporosis are hampered by a number of factors, including (1) the absence of consistent end point reporting standards in RCTs (ie, differing fracture-type definitions [some RCTs recorded fracture outcomes as the number of patients with a fracture and others as the time to fracture] and varying time points of assessments); (2) differences in reporting durations (because of different MoAs: bone-building treatments with shorter periods and long-term treatments, such as bisphosphonates, DEN, and RLX, with longer treatment periods); (3) lack of power in some RCTs to detect meaningful differences in hip fracture incidences (eg, in ACTIVE
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and Vertebral Fracture Treatment Comparisons in Osteoporotic Women [VERO] trial,
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which results in wide CrIs in specific estimates in the NMAs); and (4) intertrial differences in baseline characteristics (eg, fracture history, BMD, age, and treatment history). Therefore, comparative benefits observed in NMAs may not only be caused by differences in the mechanisms of action of the treatments but also attributable to differing trial designs. Conducting time-sensitive NMAs in osteoporosis can help to address this issue, but future research is needed to investigate the precise impact of differing trial designs on NMAs.
Despite following published methodologic guidelines, this study was associated with some limitations. First, the risk of bias assessment found that reporting of randomization and allocation concealment methods was particularly poor across included RCTs. Concealment methods are important when fracture outcomes are based on the assessment and interpretation of radiographic findings because this might otherwise introduce bias. The impact of RCTs with a high risk of bias on the NMA results was not assessed. Second, there was evidence of moderate heterogeneity in 3 fracture end points (ie, new vertebral fractures at 12 months [RLX vs PBO], nonvertebral fractures at 12 months [ZOL vs PBO], and hip fractures at 24 months [RIS vs TPTD]). However, no evidence of inconsistency was observed across included RCTs. The BMD networks were larger and more complex, and the heterogeneity and inconsistency among RCTs might have influenced the results, warranting careful interpretation. Third, the validity of the NMA might have been affected by the end point reporting standards in RCTs and the quantity and quality of the included data available from the published RCTs; in particular, the data scarcity for hip fractures, because of RCTs in osteoporosis not being designed or powered to detect meaningful hip fracture reduction levels (eg, TPTD and ABL), led to wide CrIs, indicating uncertainty of comparative results. The very favorable NMA outcomes of RIS for hip fractures at 24 months are questionable because they are not consistent with RCT data and are at risk of being artificially inflated because of the very low incidence of hip fractures observed in the VERO trial (0.73%) and the trial by Hadji et al, (0.57%) combined with the inconsistent and directionally opposite hazard ratios of RIS vs TPTD (2.50 and 0.41 in the VERO trial and the trial by Hadji et al, respectively).
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Therefore, outcomes from earlier time points with larger CrIs because of a low number of events may result in higher uncertainty and need to be interpreted with caution.
A comparison with previously published NMAs to determine the validity of this study was difficult because this is the first study to conduct time-specific NMAs; however, previous findings that bone-building treatments most frequently have the greatest comparative fracture risk reduction and improvements in BMD were confirmed in this study. Simpson et al
11- Simpson EL
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Clinical effectiveness of denosumab, raloxifene, romosozumab, and teriparatide for the prevention of osteoporotic fragility fractures: A systematic review and network meta-analysis.
estimated the RRs for ROMO/ALN vs PBO at 0.25 (95% CrI, 0.15–0.43) for vertebral fractures, 0.71 (95% CrI, 0.48–0.85) for nonvertebral fractures, and 0.39 (95% CrI, 0.21–0.72) for hip fractures, which is comparable to the estimate of this NMA at 24 months: 0.19 (95% CrI, 0.12–0.28) for vertebral fractures, 0.43 (95% CrI, 0.22–0.74) for nonvertebral fractures, and 0.37 (95% CrI, 0.14–0.79) for hip fractures for ROMO/ALN versus PBO. None of the previously published NMAs included all treatments and time-specific endpoints as was done in this study. Most published NMAs focused on the indirect comparison of bisphosphonates (ie, ALN, RIS, IB, and ZOL) and did not include bone-building agents, such as ROMO, TPTD and ABL. Overall, these studies found that bisphosphonates, such as ZOL and ALN, were most effective in reducing the risk of fractures and increasing BMD compared with PBO. Our study similarly indicated that ZOL was an important bisphosphonate in increasing BMD at all BMD sites.
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Only the study by Hernandez et al
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Comparative efficacy of bone anabolic therapies in women with postmenopausal osteoporosis: A systematic review and network meta-analysis of randomized controlled trials.
focused on the comparative efficacy of ROMO, TPTD, and ABL with PBO and bisphosphonates (ie, RIS, ALN, and ZOL were pooled in this study). This study confirmed that that bone-building agents were the most effective treatments in fracture risk reductions across most fracture sites (ie, vertebral and nonvertebral fractures). ROMO, TPTD, and ABL significantly reduced the risk on vertebral fractures, whereas in contrast to our study, none of the bone-building agents significantly reduced nonvertebral fractures because of wider 95% CrIs of the RRs. Bone-building agents significantly increased BMD at all sites (ie, LS, TH, and FN) compared with PBO and ROMO ranked better at all BMD locations, which is in line with the presented BMD results.
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Comparative efficacy of bone anabolic therapies in women with postmenopausal osteoporosis: A systematic review and network meta-analysis of randomized controlled trials.
Because quality varies across RCTs in osteoporosis, an additional comparative analysis with 10 similar previously published SLR/NMA studies on adjusting for baseline characteristics was conducted.
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Comparative efficacy of bone anabolic therapies in women with postmenopausal osteoporosis: A systematic review and network meta-analysis of randomized controlled trials.
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Clinical effectiveness of denosumab, raloxifene, romosozumab, and teriparatide for the prevention of osteoporotic fragility fractures: A systematic review and network meta-analysis.
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This comparison identified that 3 of 10 studies
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Clinical effectiveness of denosumab, raloxifene, romosozumab, and teriparatide for the prevention of osteoporotic fragility fractures: A systematic review and network meta-analysis.
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Comparative efficacy of bisphosphonates in short-term fracture prevention for primary osteoporosis: a systematic review with network meta-analyses.
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Clinical effectiveness of bisphosphonates for the prevention of fragility fractures: A systematic review and network meta-analysis.
conducted meta-regressions and 4 of 10 studies
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Comparative efficacy of bisphosphonates in short-term fracture prevention for primary osteoporosis: a systematic review with network meta-analyses.
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performed subgroup analyses to find any effect of variables that might affect the treatment effect. However, none of the studies detected a significant impact of potential effect modifiers, such as age and sex. Subgroup analyses found that overall findings were robust and were not affected by exclusion of any study that was contributing the most heterogeneity. Some of these studies performed subgroup analyses stratified by treatment duration or type of bisphosphonate; however, this research presented time-specific NMAs. Because previous studies included similar RCTs, the current approach of using time-specific NMAs without replication of meta-regressions or subgroup analyses was considered robust.
Most RCTs in osteoporosis were designed to examine the benefits of long-term treatments rather than rapid responses to short-term treatments, such as bone-building agents (eg, TPTD, ABL, and ROMO).
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However, previous research has acknowledged the importance of short-term treatments for patients at imminent fracture risk.
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Time-specific NMAs providing comparative efficacy results at time points as early as 12 months may provide important information for treatment decision making for patients who incurred a recent fracture, are at high imminent fracture risk, and could benefit the most from treatments with fast-acting benefits. The NMA results of this study revealed the treatment rankings and pairwise comparisons to differ across time points, with various treatments reaching levels of statistical significance at different time points. These findings highlight the importance of indirectly comparing available osteoporosis treatments using time-specific NMAs.
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However, it remains important to differentiate between long- and short-term treatments when conducting time-specific NMAs because the efficacy improves over time with long-term treatments. In addition, the ranking of treatments is bound to RCT data availability because not all treatments were evaluated at all time points for each end point. Therefore, ranking of treatments should not be considered without the pairwise comparisons when interpreting time-specific NMA results for osteoporosis treatments. If NMAs do not account for different follow-up periods of osteoporosis RCTs, they may be at risk of underestimating or misstating the comparative benefits of the included treatments. This in turn can also lead to the economic value of osteoporosis treatments being underestimated in cost-effectiveness analyses in which NMAs are recommended to be used as a source of efficacy in the absence of head-to-head trials.
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Acknowledgments
Author contributions are as follows: substantial contributions to study conception and design: D. Willems, M.K. Javaid, R. Pinedo-Villaneuva, C. Libanati, A. Yehoshua, M. Charokopou; substantial contributions to analysis and interpretation of the data: D. Willems, M.K. Javaid, R. Pinedo-Villaneuva, C. Libanati, A. Yehoshua, M. Charokopou; drafting the article or revising it critically for important intellectual content: D. Willems, M.K. Javaid, R. Pinedo-Villaneuva, C. Libanati, A. Yehoshua, M. Charokopou; final approval of the version of the article to be published: D. Willems, M.K. Javaid, R. Pinedo-Villaneuva, C. Libanati, A. Yehoshua, M. Charokopou. H. El Alili, F. Kroi, S. van Beekhuizen (Ingress-Health) additionally supported the analyses and writing of the manuscript.
Funding Sources
This study was funded by UCB Pharma and Amgen Inc.
Disclosure
D. Willems is employed by UCB Pharma; M.K. Javaid received honoraria, unrestricted research grants, and travel and/or subsistence expenses from AbbVie, Amgen, Consilient Health, Kyowa Kirin, and UCB Pharma; R. Pinedo-Villaneuva received lecture fees and/or consulting honoraria from Amgen, Kyowa Kirin Services, Mereo Biopharma, and UCB Pharma; C. Libanati and M. Charokopou are employed by and stockholders of UCB Pharma; A. Yehoshua is employed by Amgen Inc. H. El Alili, F. Kroi, S. van Beekhuizen are full time employees of Ingress-Health, who received consulting fees from UCB Pharma and Amgen. The authors have indicated that they have no other conflicts of interest.