Literature DB >> 35471711

Cost-effectiveness of romosozumab for the treatment of postmenopausal women at very high risk of fracture in Canada.

Ron Goeree1,2, Natasha Burke3, Manon Jobin4, Jacques P Brown5, Donna Lawrence6, Björn Stollenwerk7, Damon Willems8, Ben Johnson9.   

Abstract

This study evaluated the cost-effectiveness of 1 year of romosozumab followed by alendronate versus oral bisphosphonates alone in women with postmenopausal osteoporosis at very high risk for fracture in Canada. Results showed that romosozumab sequenced to alendronate is a cost-effective treatment option, dominating both alendronate and risedronate alone.
PURPOSE: To demonstrate the value of romosozumab sequenced to alendronate compared to alendronate or risedronate alone, for the treatment of osteoporosis in postmenopausal women with a history of osteoporotic fracture and who are at very high risk for future fracture in Canada.
METHODS: A Markov model followed a hypothetical cohort of postmenopausal osteoporotic women at very high risk for future fractures, to estimate the cost-effectiveness of romosozumab and alendronate compared to oral bisphosphonates alone. A total treatment period of 5 years was assumed. Quality-adjusted life years and costs were estimated for each comparator across health states defined by different types of fragility fractures.
RESULTS: Romosozumab/alendronate was associated with a lifetime gain of 0.103 and 0.127 QALYs and a cost reduction of $343 and $3805, relative to alendronate and risedronate, respectively. These results were driven by a reduction of the number of fractures (2561 per 1000 patients, versus 2700 for alendronate and 2724 for risedronate over lifetime). Romosozumab/alendronate had the highest probability of being cost-effective, relative to alendronate and risedronate, at any willingness to pay threshold value.
CONCLUSION: Romosozumab/alendronate was associated with reduced costs and greater benefit relative to other comparators. Probabilistic, deterministic, and scenario analyses indicate that romosozumab/alendronate represents the best value for money; the uncertainty analyses are robust, and therefore romosozumab should be considered for reimbursement by public drug plans in Canada .
© 2022. The Author(s).

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Keywords:  Canada; Cost-effectiveness; Markov model; Osteoporosis; Romosozumab

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Year:  2022        PMID: 35471711      PMCID: PMC9042964          DOI: 10.1007/s11657-022-01106-9

Source DB:  PubMed          Journal:  Arch Osteoporos            Impact factor:   2.879


Introduction

Postmenopausal osteoporosis (PMO) is a chronic disease characterized by compromised bone strength due to bone loss that puts women at high risk of suffering debilitating fractures. Fragility fractures can result in loss of independence for patients and increased burden for themselves and their caregivers [1]. Fragility fractures are also associated with an increased risk of mortality, which may persist for several years, particularly for hip fractures [2, 3]. Patients may require long-term institutional care as a result of their fracture, with as many as 37% of patients entering long-term care in Canada following a hip fracture [4]. In Canada, the crude fracture rate in 2015 was approximately 16 fragility fractures per 1000 persons aged ≥ 50 years, and the lifetime probability of hip fracture at age 50 years was 8.9% [5]. The number of fragility fractures in those aged 50 years and older is expected to increase by 24% from 2015 to 2030 [5]. Once a postmenopausal woman has her first fracture due to osteoporosis, she is five times more likely to fracture again within a year, and her risk remains elevated over time [6]. On average, the risk of subsequent fracture is highest 1 to 2 years after the initial fracture [7-9]. In a recent real-world study in Canadian patients aged 65 years and older with a fracture, nearly 18% incurred a second fragility fracture, and the median time to second fracture was less than 2 years [10]. Osteoporotic fractures are associated with considerable direct and indirect costs. The economic burden of fragility fractures in Canada was estimated at CAD$4.6 billion in 2014; with acute care accounting for the greatest proportion (33%) of the total economic burden [4]. Recently, the Public Health Agency of Canada recognized osteoporosis as a major public health concern in Canada and highlighted the need to focus on secondary fracture prevention and its negative consequences, while facing a large care gap and a rapidly aging Canadian population [11]. The Osteoporosis Canada guidelines, last updated in 2010 (and currently being revised), focus on preventing fragility fractures and acknowledged that both antiresorptive and bone-forming agents reduce the risk of fractures in postmenopausal women at high risk of fracture [12]. Oral bisphosphonates (antiresorptive agents) are the primary first-line treatment of osteoporosis in Canada to reduce the risk of vertebral and non-vertebral fractures [13]. To facilitate absorption and avoid gastrointestinal (GI) irritation, oral bisphosphonates must be taken at least 30 min before first food, while standing and with sufficient volume of water. Low rates of persistence at 24 months have been observed with oral BPs, raloxifene, and teriparatide [14-16]. Patients not persistent on osteoporosis medications have a 40% higher risk of hip fracture compared with persistent patients [17]. Low treatment rates overall and poor persistence with BPs leave women with PMO at elevated risk of fracture. Based on the current public reimbursement status, current treatment options for treatment-naïve post fracture patients are limited. Recent international guidelines recommend bone-forming agents as first-line therapies to reduce the fracture risk in patients at a very high risk of fracture [7, 9, 18]. However, teriparatide is not a benefit under the public drug programs outside of Quebec, and abaloparatide is not approved in Canada. Denosumab, zoledronic acid, and raloxifene are also indicated for the treatment of women with PMO; however, reimbursement is generally restricted to those patients at high risk for fracture who have failed or are intolerant to available therapies or are contraindicated to oral bisphosphonates. Romosozumab (EVENITY®), a monoclonal antibody that binds to and inhibits sclerostin, is a bone-forming agent with a dual effect on bone, increasing bone formation and decreasing bone resorption, unlike other bone-forming agents such as teriparatide, where both bone formation and resorption are increased. This dual effect is responsible for rapid onset of action (within 1 year) on both trabecular and cortical bones, improving bone mass, structure, and strength. In treatment naïve postmenopausal women with osteoporosis and prior fragility fracture, romosozumab, sequenced to alendronate at 12 months, was found to rapidly reduce fractures within 12 months and resulted in a 48% lower risk of new vertebral fractures at 24 months compared to treatment with alendronate only [19]. Considering its clinical efficacy, further studies have evaluated the cost-effectiveness of romosozumab and sequential therapies relative to other osteoporosis therapies across multiple settings [20, 21]. Two studies conducted in Japan and Sweden concluded that romosozumab represented a cost-effective alternative treatment relative to teriparatide and alendronate as first-line treatment for postmenopausal women. These economic evaluations were conducted to provide decision-makers with high-quality evidence to determine the value for money of different treatments for osteoporosis and help inform resource allocation. However, evidence of the cost-effectiveness of romosozumab in Canada is currently unavailable. Therefore, the objective of this study was to determine the cost-effectiveness of romosozumab and sequential therapy for the treatment of postmenopausal women at very high risk of fracture in Canada, relative to alendronate and risedronate alone, from a healthcare payer and societal perspective, using a previously validated cohort model for the treatment of PMO.

Methods

Target population, perspective, time horizon, and discount rate

The modelled patient population consisted of a hypothetical cohort of postmenopausal osteoporotic women who are at very high risk for future fracture. The model included patients with a mean age of 74 years (based on participants in the ARCH trial [19]). In line with the American Association of Clinical Endocrinologists/American College of Endocrinology (AACE/ACE) [7] and Endocrine Society Guidelines [8] definitions of very high risk for future fracture, the population consisted of patients with a femoral neck BMD T score ≤  − 2.5 and a history of fragility fracture. Since clinical evidence has shown that the distribution of single and multiple fractures was approximately even, the assumption was made that 50% of patients had a single previous fracture, and 50% had multiple prior fractures [22]. Considering that treatment for osteoporosis influences the risk of fractures and mortality [2], the model used a lifetime time horizon to capture all relevant benefits and costs associated with treatment [23]. All costs and health outcomes were discounted at an annual rate of 1.5% as recommended by the Canadian Agency for Drugs and Technologies in Health (CADTH) Guidelines for the Economic Evaluation of Health Technologies [23]. Alternative discount rates (e.g., 0, 3%) were considered in scenario analyses. In the reference case, the analysis was conducted from the perspective of the public healthcare payer in Canada, with a societal perspective used in a scenario analysis.

Comparators

In the reference case analysis, the model included the following interventions: Romosozumab 210 mg monthly for 12 months sequenced to alendronate 70 mg weekly (romosozumab/alendronate) Alendronate 70 mg weekly Risedronate 35 mg weekly Alendronate and risedronate were selected as comparators because they comprise the large majority of antiresorptive prescriptions in Canada [13]. Patients in the romosozumab/alendronate arm received 12 months of romosozumab (consistent with the duration specified in the product label [24]), sequenced to alendronate, which aligns with the clinical evidence from the ARCH trial [19]. Patients in all arms were assumed to be treated for a total of 5 years; a commonly recommended duration for pharmacological osteoporosis therapy [25]. The model assumed that patients were persistent with therapy in all three arms over the 5-year treatment period.

Type of economic evaluation and model structure

A Markov cohort state transition model with a 6-month cycle length was used to assess costs and quality-adjusted life-years (QALYs) associated with romosozumab sequenced to alendronate (romosozumab/alendronate) compared with alendronate alone or risedronate alone. The model structure is based on the model developed by the International Osteoporosis Foundation, which has been widely used as a basis for economic analyses of osteoporosis [26-32]. Markov models are considered appropriate methodologies for this therapeutic area, considering that osteoporosis is a chronic condition and involves a continuous risk over time [28-33]. Seven Markov health states were considered (Fig. 1): at risk of fracture (i.e., baseline), clinical vertebral fracture, post clinical vertebral fracture, hip fracture, post-hip fracture, “other” fragility fracture (i.e., non-vertebral non-hip fragility fracture), and death. All patients were assumed to be at risk of fracture at baseline. During each cycle, patients had a probability of sustaining a fracture, remaining in the baseline state, or dying. Patients who sustained a fracture transitioned to any of the three health states depending on the fracture type (hip, vertebral, or other fracture). After 1 year in the “other” fracture state, patients who did not sustain another fracture returned to the baseline at-risk health state. After 1 year in the hip and vertebral fracture states, patients who did not sustain another fracture transitioned to the “post-hip fracture” and “post-vertebral fracture” states, respectively.
Fig. 1

Structure of the Markov cohort model. Arrows to the health state “dead” excluded for simplification

Structure of the Markov cohort model. Arrows to the health state “dead” excluded for simplification The model was built with a hierarchical structure based on the severity of fracture types, with hip being the most severe, followed by vertebral and “other.” The structure assumed that patients were only allowed to transition to more severe health states. For example, patients who sustained a hip fracture could not subsequently transition to vertebral or “other” fracture states. This assumption allowed capturing long-term costs and HRQoL with the post-hip or post-vertebral fracture states [29, 31]. However, the hierarchical structure does not explicitly count subsequent fractures further down in the hierarchy, and therefore the model may result in an underestimation of fracture incidence. To correct for this, as in previous adaptations, lower hierarchy fractures were estimated separately by multiplying the number of subjects in each higher hierarchy state with the incidence rate of the lower hierarchy fracture type in the model population [20, 27].

Efficacy and clinical inputs

BMD and fracture risk (general population and PMO high risk) The risk of sustaining a fracture in the model depended on (i) the risk for an individual in the general population of incurring a fracture, (ii) the increased fracture risk associated with osteoporosis, and (iii) a risk reduction, if any, attributed to treatment. The general population risk depended on age and gender. The risk of fracture relative to the general population depended on age, bone mineral density (BMD), and prior fracture prevalence. Age-specific general population fracture rates were taken from Canadian sources (as shown in Appendix Table 5). These values were linearly interpolated or extrapolated as required to produce fracture rates for each year of age (Appendix Table 5). To estimate fracture risks in untreated patients with PMO at very high risk for future fracture, general population fracture rates were adjusted for the lower BMD T scores and higher prevalence of previous fracture in the modelled population. Fracture risks for the target population were adjusted with relative risks of subsequent fracture in patients with a prior vertebral fracture and relative risks of subsequent fracture per standard deviation decline in BMD, as described in previous economic evaluations [20, 30].
Table 5

General population annual fracture rates

Age (years)Hip fractureVertebral fractureOther fracture
500.00010.00060.0053
510.00020.00070.0057
520.00020.00070.0062
530.00020.00080.0067
540.00030.00080.0072
550.00030.00090.0077
560.00040.00100.0082
570.00040.00110.0087
580.00050.00120.0090
590.00050.00130.0094
600.00060.00140.0097
610.00070.00150.0101
620.00070.00160.0105
630.00090.00180.0108
640.00100.00200.0111
650.00120.00210.0115
660.00130.00230.0118
670.00150.00250.0122
680.00180.00270.0127
690.00210.00300.0133
700.00240.00320.0139
710.00270.00350.0145
720.00300.00380.0151
730.00370.00420.0160
740.00440.00460.0168
750.00500.00500.0177
760.00570.00540.0186
770.00640.00590.0195
780.00770.00640.0211
790.00890.00700.0226
800.01020.00760.0242
810.01150.00830.0258
820.01280.00900.0273
830.01470.00980.0294
840.01670.01070.0315
850.01860.01170.0336
860.02060.01270.0358
870.02250.01390.0379
880.02390.01520.0394
890.02520.01650.0410
900.02650.01800.0426
910.02780.01970.0442
920.02920.02150.0458
930.03050.02350.0474
940.03180.02570.0490
950.03310.02800.0506
960.03440.03070.0521
970.03580.03360.0537
980.03710.03670.0553
990.03840.04030.0569
1000.03970.04410.0585

Leslie et al. 2011 [50] for hip fracture, unpublished data from the Canadian Multicentre Osteoporosis Study for vertebral fractures [51] (consistent with a previously published cost-effectiveness analysis of denosumab in a Canadian setting [52]), and Leslie et al. 2009 [53] for other fracture (which included non-hip, non-vertebral fractures)

Efficacy For patients receiving treatment, treatment efficacy data (relative risks of fracture) were applied to fracture rates in untreated very high-risk postmenopausal osteoporotic patients. Efficacy data used in the model provided relative risks (RRs) of hip, new vertebral, and nonvertebral fracture separately. RRs of new vertebral fracture were used to inform treatment-specific efficacy in preventing vertebral fractures, while RRs of nonvertebral fracture were used to inform efficacy for “other” fractures (comprising wrist, and all other non-hip, non-vertebral fractures). Hip fracture efficacy was directly informed by treatment-specific RRs of hip fracture. For the alendronate and risedronate arms, RRs of hip, vertebral, and nonvertebral fracture versus placebo were applied to fracture rates in untreated patients for the duration of treatment (5 years). These data were obtained from a network meta-analysis of randomized controlled trials (Table 1) [34]. For the romosozumab/alendronate arm, RRs of fracture versus placebo were established indirectly from two sources: a comparison of romosozumab with alendronate from the ARCH trial [19, 35] and the comparison of alendronate with placebo [34]. Because of their different modes of action, patterns of treatment benefit over time likely differ for regimens containing a bone-forming agent and regimens consisting of an antiresorptive agent alone. Therefore, RRs of fracture for romosozumab/alendronate versus alendronate were calculated time-dependently. To do this, parametric survival curves were fit to time-to-event data for hip and nonvertebral fractures from the ARCH trial. For each regimen and fracture type, fracture incidence in each 6-month period was calculated from the selected parametric survival functions. The survival functions were selected based on best fit, defined by the Akaike information criterion (AIC). A scenario analysis was considered to select survival functions based on the Bayesian information criterion (BIC) (Appendix Table 6). These values were used to calculate RRs of hip and nonvertebral fracture for romosozumab/alendronate versus alendronate in each 6-month model cycle over the 5-year treatment period (Table 1). Survival models were fitted separately by arm to allow changing fracture incidence over time.
Table 1

Relative risks for hip, vertebral, and non-vertebral fractures per cycle (romosozumab/alendronate relative to alendronate alone) [19, 34, 35]

Model cycleaHip fractureNew vertebral fractureNon-vertebral fracture
10.890.640.70
20.600.640.75
30.560.380.79
40.560.380.85
50.570.380.90
60.580.380.96
70.590.381.02
80.600.381.08
90.620.381.15
100.630.381.23
Comparison

Hip fracture

(95% CIs)

New vertebral fracture (95% CIs)Non-vertebral fracture (95% CIs)
Alendronate vs placebo0.61 (0.42 to 0.90)0.57 (0.45 to 0.71)0.84 (0.74 to 0.94)
Risedronate vs placebo0.73 (0.58 to 0.92)0.61 (0.48 to 0.78)0.78 (0.68 to 0.89)

aCycle-length 6 months

CI, confidence interval; vs, versus

Note: uncertainty around estimates is not shown, since RRs of hip fracture and non-vertebral fracture are derived from parametric survival curves (estimated from Barrionuevo et al. [34]), the intercept and scale of which were sampled in probabilistic sensitivity analysis to account for uncertainty

Table 6

Fitted regression parameters (selected parameters with the best fit according to AIC shown in bold)

Parametric model (parameters)Parameter 1 (SE)Parameter (SE)Parameter 3 (SE)AICBIC
Hip fracture-romosozumab/alendronate
 Exponential (rate)  − 10.770 (0.156) - - 967.1513 972.775
 Weibull (shape/scale) − 0.095 (0.149)11.149 (0.647)-968.732979.9793
 Gompertz (shape/rate)0.000 (0.000) − 10.680 (0.273)-969.0073980.2546
 Lognormal (meanlog/sdlog)13.067 (0.877)1.109 (0.135)-969.4386980.6859
 Log-logistic (shape/scale) − 0.089 (0.148)11.112 (0.642)-968.7473979.9946
 Gamma (shape/rate) − 0.097 (0.151) − 11.204 (0.724)-968.7274979.9747
 Generalized gamma (mu/sigma/Q)10.910 (2.602) − 0.381 (25.767)1.618 (41.705)970.7182987.5891
Hip fracture-alendronate
 Exponential (rate) − 10.286 (0.123)--1491.7441497.369
 Weibull (shape/scale)0.157 (0.115)9.802 (0.343)-1491.9911503.239
 Gompertz (shape/rate)0.000 (0.000) − 10.371 (0.222)-1493.5481504.796
 Lognormal (meanlog/sdlog) 10.802 (0.440) 0.757 (0.105) - 1490.05 1501.298
 Log-logistic (shape/scale)0.168 (0.115)9.753 (0.339)-1491.831503.078
 Gamma (shape/rate)0.170 (0.123) − 9.674 (0.426)-1491.8991503.147
 Generalized gamma (mu/sigma/Q)11.190 (0.655)1.124 (0.651) − 0.633 (1.403)1491.7561508.628
Nonvertebral fracture-romosozumab/alendronate
 Exponential (rate)  − 9.261 (0.075) - - 3654.774 3660.398
 Weibull (shape/scale) − 0.095 (0.071)9.491 (0.199)-3654.9253666.172
 Gompertz (shape/rate)0.000 (0.000) − 9.199 (0.131)-3656.483667.728
 Lognormal (meanlog/sdlog)10.224 (0.246)0.911 (0.062)-3660.5793671.826
 Log-logistic (shape/scale) − 0.070 (0.070)9.377 (0.194)-3655.4233666.67
 Gamma (shape/rate) − 0.103 (0.075) − 9.572 (0.250)-3654.8513666.098
 Generalized gamma (mu/sigma/Q)9.333 (0.344) − 0.589 (2.922)2.030 (5.932)3656.5063673.377
Nonvertebral fracture-alendronate
 Exponential (rate) − 9.048 (0.068)--4363.0164368.64
 Weibull (shape/scale) − 0.096 (0.064)9.263 (0.168)-4362.6844373.933
 Gompertz (shape/rate)  − 0.00034 (0.00018)  − 8.871 (0.116) - 4361.946 4373.195
 Lognormal (meanlog/sdlog)9.798 (0.202)0.864 (0.056)-4365.1034376.351
 Log-logistic (shape/scale) − 0.063 (0.063)9.119 (0.162)-4362.2524373.501
 Gamma (shape/rate) − 0.102 (0.069) − 9.337 (0.216)-4362.7914374.039
 Generalised gamma (mu/sigma/Q)9.474 (0.291)0.424 (0.314)0.608 (0.374)4364.0464380.919

SE, standard error; AIC, Akaike information criterion; BIC, Bayesian information criterion

Relative risks for hip, vertebral, and non-vertebral fractures per cycle (romosozumab/alendronate relative to alendronate alone) [19, 34, 35] Hip fracture (95% CIs) aCycle-length 6 months CI, confidence interval; vs, versus Note: uncertainty around estimates is not shown, since RRs of hip fracture and non-vertebral fracture are derived from parametric survival curves (estimated from Barrionuevo et al. [34]), the intercept and scale of which were sampled in probabilistic sensitivity analysis to account for uncertainty Treatment offset time The fracture reduction benefit of pharmacological osteoporosis treatment does not disappear immediately following discontinuation, but rather persists for some time (i.e., the “offset time”). A clinical study in which patients received 5 years’ alendronate treatment followed by 5 years’ placebo found that mean BMD remained at or above pre-treatment levels [36], suggesting that treatment benefit persists for a substantial period. Therefore, the assumption was made that the fracture reduction benefit of treatment declines linearly to 0 over the length of time for which a patient was treated. That is, the treatment offset period lasts for 5 years. Mortality General population all-cause mortality was informed by life tables for females in Canada from Statistics Canada [37]. The model also accounted for the increased risk of mortality following a fracture. Two key assumptions were made regarding mortality following osteoporosis-related fractures: (i) 30% of the excess mortality following a fracture was attributable to the fracture itself, in line with previous analyses [29-31] and (ii) the increased risk of mortality after hip and vertebral fractures was assumed to last for 8 years as per previous analyses [29-31]. This duration of excess mortality only applied to hip and vertebral fractures as other fractures were assumed to only have effects in the first year of fracture. Age-specific RRs of mortality in the first year after hip, vertebral, and other fracture, and in the second and following years after hip and vertebral fracture for Canadian women were sourced from Morin et al. [2]. (Appendix Table 7).
Table 7

Relative risks of mortality following fracture

Age (years)Hip fracture 1st yearHip fracture 2nd and following yearsVertebral fracture 1st yearVertebral fracture 2nd and following yearsOther fracture 1st year
50–5921.33.43.42.12.8
60–695.18.32.51.72.2
70–793.83.91.71.61.7
80–892.01.41.01.01.7
90 + 1.51.40.80.81.4

Source: Morin et al. 2011 [2]

Health-related quality of life

To account for the HRQoL loss due to fracture, in the first year after hip, vertebral, and other fracture, and for the second and subsequent years after hip and vertebral fracture, utility multipliers were applied to utilities of the general population. Data specific to subsequent “other” fractures were not available. Therefore, the utility multiplier in the first year after “other” fracture was assumed to correspond to that of a distal forearm fracture. These values were taken from Svedbom et al. [38], an analysis of HRQoL from the International Costs and Utilities Related to Osteoporotic Fractures Study (ICUROS), which recorded HRQoL before and after fracture, for different fracture locations. In a scenario analysis, Canadian-specific HRQoL inputs were derived from HRQoL at different time points to estimate disutilities associated with fractures [39]. Health-related quality of life and utility parameters are summarized in Table 2.
Table 2

Health-related quality of life, utilities, and drug, treatment monitoring/administration, direct medical, and long-term costs

InputValueSource
Female general population health-related quality of life by age
Age (years)Guertin et al. 2018 [40]
 50–540.842
 55–590.830
 60–640.841
 65–690.837
 70–740.831
 75–790.778
 80–840.736
 85 + 0.616
Health-related quality of life multipliers by fracture type
 Fracture typeSvedbom 2018 [38]
 Hip fracture, 1st year0.55
 Hip fracture, 2nd and subsequent years0.86
 Vertebral fracture, 1st year0.68
 Vertebral fracture, 2nd and subsequent years0.85
 Other fracture, 1st year0.83
Annual drug costs
RomosozumabUnit cost$328.39Manufacturer
Dosing frequencyMonthly (2 syringes per dose)
Annual cost$7881
AlendronateUnit cost$2.10Ontario Drug Benefit Formulary [41]
Dosing frequencyWeekly
Annual cost$109
RisedronateUnit cost$1.98
Dosing frequencyWeekly
Annual cost$103
Annual treatment monitoring/administration costs
RomosozumabBMD measurements$42Ontario Health Insurance Plan Schedule of Benefits and Fees [42]
Physician visits$77
Nurse visits$191
Annual cost$310
AlendronateBMD measurements$42
Physician visits$77
Nurse visits$0
Annual cost$119
RisedronateBMD measurements$42
Physician visits$77
Nurse visits$0
Annual cost$119
Direct medical costs of fracture
Hip fractureFirst year after fracture—50–59 years$21,898Metge et al. (2010) [43]
First year after fracture—60–69 years$20,875
First year after fracture—70–79 years$27,512
First year after fracture—80–89 years$29,782
First year after fracture—90 + years$27,398
Second and following years after fracture$5171Goeree et al. (2006) [44]
Vertebral fractureFirst year after fracture—50–59 years$11,427Metge et al. (2010) [43]
First year after fracture—60–69 years$15,342
First year after fracture—70–79 years$18,600
First year after fracture—80–89 years$23,683
First year after fracture—90 + years$28,341
Second and following years after fracture$235Goeree et al. (2006) [44]
Other fractureFirst year after fracture—50–59 years$2025Metge et al. (2010) [43]
First year after fracture—60–69 years$2709
First year after fracture—70–79 years$7268
First year after fracture—80–89 years$15,175
First year after fracture—90 + years$20,203
Long-term care costs
Proportion of patients entering long-term care after hip fracture37%Hopkins et al. 2016 [4]
Daily cost of long-term care$184.96AdvantAge Ontario [45]

All costs are expressed in 2020 CAD

BMD, bone mineral density

Health-related quality of life, utilities, and drug, treatment monitoring/administration, direct medical, and long-term costs All costs are expressed in 2020 CAD BMD, bone mineral density

Resource use and costs

The model included drug acquisition costs, treatment monitoring/administration costs, direct medical costs due to fracture, and long-term care costs (Table 2). Additionally, broader societal costs (including lost productivity costs and patient out-of-pocket costs) were included in a scenario analysis. Lost productivity was estimated based on the mean hourly wage of females 55 years or older, working full and part time in Canada. The value of lost productivity associated with fractures was estimated based on the average time off from work due to each fracture type (Appendix Table 8). For out-of-pocket costs, an assumption was made that BMD measurements, physician visits, and nurse visits were associated with a $20 parking and travel fee. All costs were expressed in Canadian dollars (CAD), inflated to 2020 values where required using the Consumer Price Index (CPI) for Canada [46]. Drug acquisition costs were obtained from the manufacturer for romosozumab and from the list prices on the Ontario Drug Benefit Formulary [41] for antiresorptive agents, using the lowest available unit price for the weekly oral dose of 70 mg and 35 mg for alendronate and risedronate respectively. A conservative assumption was made that patients were fully persistent with therapy in all three arms over the 5-year treatment period, due to the current lack of real-world persistence data for romosozumab sequenced to an antiresorptive and the inherent limitations of discontinuation data from RCTs. In reality, it is known that persistence with osteoporosis treatments is imperfect [47]. Discontinuation data from the randomized controlled ARCH trial are unlikely to represent rates in practice, and therefore full persistence with all treatments was assumed in the model. Wholesaler upcharge and pharmacist dispensing fees were not considered.
Table 8

Societal costs

ParameterValueSource
Hourly wages
  Hourly wage for females aged 55 years and older$25.95[54]
  Hourly wage for females and males aged 15 years and older$26.92
Hours worked per year
  Hours worked in full-time employment1920[54]
  Hours worked in part-time employment960
Workforce participation rates
  Proportion of people working full time
  50–54 years64.5%[55]
  55–59 years53.0%
  60–64 years33.4%
  65–69 years11.0%
  70 + years2.1%
Proportion of people working part time
  50–54 years14.1%
  55–59 years15.2%
  60–64 years14.7%
  65–69 years9.9%
  70 + years3.1%
Time off work following fracture (years)
  Hip fracture1.000Clinical experts
  Vertebral fracture0.250
  Other fracture0.115
Hours of informal care per week following hip fracture
  2-month post-fracture5.2[56]
  3–12-month post-fracture4.3
Calculated indirect costs per fracture
Hip fracture
  50–54 years$41,890[54]
  55–59 years$36,458
  60–64 years$26,578
  65–69 years$14,188
  70 + years$8059
Vertebral fracture
  50–54 years$8910
  55–59 years$7552
  60–64 years$5082
  65–69 years$1984
  70 + years$452
Other fracture
  50–54 years$4098
  55–59 years$3474
  60–64 years$2337
  65–69 years$913
  70 + years$208
For treatment monitoring/administration costs, the model assumed that patients receiving treatment incurred the cost of a physician visit once a year, and the cost of a BMD measurement every 2 years, as per Ontario Health Insurance Plan Schedule of Benefits and Fees [42]. The model assumed that 85% of patients treated with romosozumab required a monthly nurse visit for subcutaneous injection administration. Based on feedback from Canadian clinicians, it was conservatively assumed that the remaining 15% of patients would self-administer romosozumab requiring 2 nurse visits in total (one training visit and one follow-up visit). The cost per nurse visit was estimated assuming a 20-min appointment and based on an hourly wage of $46.31 as per the 2020 Ontario Nurses’ Association Collective Agreement [48]. Age-specific costs in the first year after hip, vertebral, and other fracture in Canada were informed by Metge et al. [43]. Values used in the model comprised total incremental healthcare costs for the year following fracture, versus the year pre-fracture. The cost of “other” fracture was calculated as a weighted average of wrist and humerus fracture.

Analysis

The model estimated total discounted lifetime costs and QALYs for each intervention, with cost-effectiveness assessed by dominance and in terms of incremental cost-utility ratios (ICURs). Reference case results were assessed through a probabilistic model with 5000 stochastic iterations, where parameters were varied simultaneously according to distributions representing their uncertainty [49]. Cost-effectiveness acceptability curves (CEACs) were derived to summarize the proportion of probabilistic iterations in which each comparator was cost-effective across a range of willingness to pay per QALY-gained thresholds. In addition, sensitivity analyses using the deterministic model were performed to assess the sensitivity of results to changes in individual parameters. Parameters were varied using published confidence intervals or standard errors, where available, and by 25% above and below point estimates where measures of uncertainty were unavailable. Cost-effectiveness was assessed with the incremental net monetary benefit (INMB) for each deterministic sensitivity analysis. Scenario analyses were conducted to assess the impact of using alternative model assumptions. For each scenario analysis, 5000 iterations of the probabilistic model were conducted. The first scenario tested model structural uncertainty by assuming an alternative treatment sequence, where romosozumab sequenced to risedronate was compared with alendronate alone and risedronate alone. The efficacy of romosozumab/risedronate was assumed to be equivalent to that of romosozumab/alendronate in the first two cycles of the model (i.e., for the duration of romosozumab treatment). For cycles 3 to 10, cycle-specific efficacy of romosozumab/risedronate versus placebo was estimated by applying RRs of fracture for romosozumab/alendronate versus alendronate to RRs for risedronate versus placebo [34]. Additional scenario analyses around modelling assumptions were considered to account for a societal perspective and indirect costs, annual discount rates of 0 or 3%, treatment efficacy rates estimated from parametric models, modified treatment offset time (1 year), increased excess mortality duration, Canadian fracture disutilities, alternative cost for risedronate (Actonel DR), and reduced duration of fracture reduction benefits associated with romosozumab/alendronate. Cost-effectiveness was estimated across the three comparators for each scenario.

Results

Reference case results

The total and disaggregated reference case model results are presented in Table 3. Romosozumab/alendronate yielded the most discounted QALYs and lowest total cost (8.454 and $86,314, respectively), and was associated with a lifetime gain of 0.103 and 0.127 QALYs and a cost reduction of $343 and $3805, relative to alendronate and risedronate, respectively. Although drug costs were highest for romosozumab/alendronate ($8259 vs. $521 for alendronate and $491 for risedronate), the total cost incurred by patients treated with romosozumab/alendronate was lower relative to alendronate and risedronate ($86,314, $86,656, $90,119, respectively). Therefore, the improvements in QALYs and cost reductions for romosozumab/alendronate were driven by a reduction of the expected number of fractures (2561 per 1000 patients versus 2700 for alendronate and 2724 for risedronate). Consequently, alendronate and risedronate were dominated by romosozumab/alendronate. Despite similar annual drug costs of alendronate and risedronate, the total discounted incremental costs of romosozumab/alendronate compared to risedronate (− $3805) was lower than the comparison with alendronate (− $343) due to the differences in hip fracture incidence rates.
Table 3

Reference case disaggregated and fully incremental cost-effectiveness results

OutcomeRomosozumab/alendronateAlendronateRisedronateIncremental (romosozumab/alendronate vs. alendronate)Incremental (romosozumab/alendronate vs. risedronate)
Lifetime fracture incidence per 1000 patients
  Hip fracture550588607 − 38 − 57
  Vertebral fracture715795810 − 80 − 96
  Other fracture129613171306 − 21 − 11
Total256127002724 − 140 − 163
Costs
  Fracture costs
    Hip fracture$69,646$77,975$82,016 − $8330 − $12,371
    Vertebral fracture$13,366$14,775$14,954 − $1409 − $1588
    Other fracture$13,710$13,424$13,249$286$461
  Total fracture costs$96,721$106,175$110,219 − $9453 − $13,497
  Drug cost$8259$521$491$7737$7768
  Treatment monitoring/administration cost$757$566$566$191$191
Total cost (undiscounted)$105,737$107,262$111,276 − $1525 − $5539
Total cost (discounted)$86,314$86,656$90,119 − $343 − $3805
QALYs and life years
  Life years (undiscounted)14.44214.42214.4180.0200.024
  Life years (discounted)12.65012.63312.6290.0170.021
  QALYs (undiscounted)9.5109.3949.3660.1170.144
  QALYs (discounted)8.4548.3518.3270.1030.127
Cost-effectiveness
  ICUR---DominantDominant

QALY, quality-adjusted life year; ICUR, incremental cost-utility ratio

Reference case disaggregated and fully incremental cost-effectiveness results QALY, quality-adjusted life year; ICUR, incremental cost-utility ratio Results are also shown for all three comparators as cost-effectiveness acceptability curves (CEACs) (Fig. 2) and a scatter plot of the 5000 iterations (Appendix Figure 3). The number of iterations in which each intervention was found to be cost-effective is displayed over a range of cost per QALY-gained thresholds. These results show that, at a willingness to pay threshold of $50,000 per QALY for example, romosozumab/alendronate was the optimal intervention (in terms of net monetary benefit) in 92.0% of probabilistic iterations. Additionally, romosozumab/alendronate had the highest probability of being cost-effective, relative to alendronate and risedronate, at any willingness to pay threshold value.
Fig. 2

Cost-effectiveness acceptability curves. QALY, quality-adjusted life year; WTP, willingness to pay. CEACS show the number of probabilistic iterations in which each intervention is cost-effective over a range of cost-effectiveness thresholds

Fig. 3

Scatter plot of probabilistic results (comparators versus romosozumab/alendronate (discounted). QALY, quality-adjusted life year; WTP, willingness to pay

Cost-effectiveness acceptability curves. QALY, quality-adjusted life year; WTP, willingness to pay. CEACS show the number of probabilistic iterations in which each intervention is cost-effective over a range of cost-effectiveness thresholds

Sensitivity analysis

Deterministic sensitivity analysis results demonstrated that the model outcomes were most sensitive to fracture reduction efficacy and parameters relating to the cost of long-term care and proportion of patients entering long-term care after hip fracture. However, romosozumab/alendronate was consistently cost-effective, as it represented the highest NMB relative to alendronate and risedronate for each run of the one-way sensitivity analysis (see Tornado diagrams in Appendix Figures 4 and 5).
Fig. 4

Tornado diagram of deterministic sensitivity analyses. Romosozumab/alendronate versus alendronate—discounted incremental net monetary benefit at a threshold of $50,000/QALY. ARCH, Active ContRolled FraCture Study in Postmenopausal Women with Osteoporosis at High Risk of Fracture (phase III study); BMD, bone mineral density; Fx, fracture; LTC, long-term care; QALY, quality-adjusted life year; RR, relative risk; SD, standard deviation; vert, vertebral

Fig. 5

Tornado diagram of deterministic sensitivity analyses. Romosozumab/alendronate versus risedronate—discounted incremental net monetary benefit at a threshold of $50,000/QALY. ARCH, Active ContRolled FraCture Study in Postmenopausal Women with Osteoporosis at High Risk of Fracture (Phase III Study); BMD, bone mineral density; Fx, fracture; LTC, long-term care; QALY, quality-adjusted life year; RR, relative risk; SD, standard deviation; vert, vertebral

Scenario analyses

The incremental costs, QALYs, and ICUR of romosozumab/alendronate relative to alendronate and risedronate for all scenarios are presented in Table 4. Most scenarios yielded similar results to the reference case, where romosozumab/alendronate yielded additional QALYs and fewer costs relative to alendronate and risedronate (i.e., remained the dominant intervention). However, the first scenario analysis that considered a romosozumab/risedronate sequence, represented additional costs ($1322) relative to alendronate alone (ICUR of $14,209 per QALY gained). Therefore, although not dominant, romosozumab/risedronate would be cost-effective relative to alendronate at a willingness to pay threshold of $50,000 per additional QALY gained. Finally, alendronate also had fewer costs compared with romosozumab/alendronate when treatment offset time was defined at 1 year (ICUR = $21,321). Risedronate was consistently dominated throughout all scenario analyses.
Table 4

Scenario analysis results—romosozumab/alendronate versus alendronate and risedronate (discounted results)

∆ Costs∆ QALYsICUR
Scenario (romosozumab/alendronate vs. alendronate)
Reference case − $3430.103Dominant
 Romosozumab sequenced to risedronate$13220.093$14,209
 Societal perspective − $3220.103Dominant
 Discount rate of 0% per annum for costs and health outcomes − $13730.116Dominant
 Discount rate of 3% per annum for costs and health outcomes$6090.091$6707
 Parametric models with the lowest BICs used to specify fracture incidence in time-dependent efficacy calculations − $10020.113Dominant
 Parametric models with the second-lowest AICs used to specify fracture incidence in time-dependent efficacy calculations − $11060.112Dominant
 Treatment offset time of 1 year$17510.082$21,321
 Duration of excess mortality following hip and vertebral fracture set to 5 years − $3330.102Dominant
 Duration of excess mortality following hip and vertebral fracture set to 10 years − $4250.103Dominant
 Proportion of excess mortality due to fracture event set to 10% − $6500.097Dominant
 Proportion of excess mortality due to fracture event set to 50% − $1880.109Dominant
 Only excess mortality in the first year after hip fracture considered − $4880.097Dominant
 Disutilities taken from Tarride 2016 − $3540.131Dominant
Scenario (romosozumab/alendronate vs. risedronate)
Reference case − $38050.127Dominant
 Romosozumab sequenced to risedronate − $20910.117Dominant
 Societal perspective − $38060.127Dominant
 Discount rate of 0% per annum for costs and health outcomes − $54580.144Dominant
 Discount rate of 3% per annum for costs and health outcomes − $24230.113Dominant
 Parametric models with the lowest BICs used to specify fracture incidence in time-dependent efficacy calculations − $44480.137Dominant
 Parametric models with the second-lowest AICs used to specify fracture incidence in time-dependent efficacy calculations − $44680.136Dominant
 Treatment offset time of 1 year − $7540.101Dominant
 Duration of excess mortality following hip and vertebral fracture set to 5 years − $36590.126Dominant
 Duration of excess mortality following hip and vertebral fracture set to 10 years − $38770.127Dominant
 Proportion of excess mortality due to fracture event set to 10% − $40600.119Dominant
 Proportion of excess mortality due to fracture event set to 50% − $34840.134Dominant
 Only excess mortality in the first year after hip fracture considered − $38810.120Dominant
 Drug cost of ACTONEL DR ($617.00 per year) used for risedronate − $63330.128Dominant
 Disutilities taken from Tarride 2016 − $38410.164Dominant

AIC, Akaike information criterion; ARCH, Active ContRolled FraCture Study in Postmenopausal Women with Osteoporosis at High Risk of Fracture (phase III study); ICUR, incremental cost-utility ratio; QALY, quality-adjusted life-year; BIC, Bayesian information criterion

Scenario analysis results—romosozumab/alendronate versus alendronate and risedronate (discounted results) AIC, Akaike information criterion; ARCH, Active ContRolled FraCture Study in Postmenopausal Women with Osteoporosis at High Risk of Fracture (phase III study); ICUR, incremental cost-utility ratio; QALY, quality-adjusted life-year; BIC, Bayesian information criterion

Discussion

Summary of findings

This economic evaluation assessed the lifetime cost-effectiveness of 1 year of romosozumab sequenced to 4 years of alendronate versus alendronate alone (5 years) and risedronate alone (5 years), for the treatment of osteoporosis in postmenopausal women in Canada with a history of osteoporotic fracture and who are at very high risk for future fracture. The Markov model employed clinical and economic inputs to estimate the incidence of several fracture types and their associated effects under specific lines of treatment. Treatment with romosozumab/alendronate was associated with the most QALYs and lowest costs, relative to the comparators. Despite having a higher drug and treatment management cost, romosozumab/alendronate produced an overall cost reduction versus both comparators from a healthcare payer perspective, due to a reduction in overall fractures and fracture-related costs. Furthermore, deterministic, probabilistic, and scenario analyses evaluated the robustness of the conclusions after accounting for structural and parameter uncertainty. In general, the parameters which had the largest impact on cost-effectiveness results were those relating to treatment efficacy as these inputs drive differences in fracture incidence between arms. Romosozumab/alendronate had the highest probability of being cost-effective at a willingness to pay threshold of $50,000 per additional QALY gained. Whereas, the current first-line treatments, alendronate or risedronate, were the optimal intervention (in terms of net monetary benefit) in less than 10% of probabilistic iterations.

Contribution to the literature

Although the cost-effectiveness of romosozumab has been previously estimated in different countries, this evaluation contributes novel evidence to the pharmacoeconomic literature of osteoporosis in Canada. A study conducted by Hagino et al. employed a similar model to demonstrate the cost-effectiveness of romosozumab in the Japanese context [20]. However, romosozumab was compared with teriparatide, both sequenced to alendronate, in women with severe PMO previously treated with bisphosphonates. Additionally, it employed BMD efficacy data from the STRUCTURE trial rather than fracture outcomes to inform relative efficacy. Another study, conducted by Sӧreskog et al., assessed the cost-effectiveness of romosozumab/alendronate compared with alendronate alone from a Swedish societal perspective [21]. Romosozumab followed by an antiresorptive was cost-effective compared to an antiresorptive alone despite the substantial price difference; however, the study was primarily designed to present a novel cost-effectiveness model framework that incorporated recency of fracture and treatment sequencing. Whereas, our evaluation provides evidence of the cost-effectiveness of romosozumab relative to an additional comparator (i.e., risedronate), and considering an alternative treatment sequence (romosozumab/risedronate). The results of these economic evaluations suggest that romosozumab has a relatively high probability of being cost-effective relative to bone-forming agents and antiresorptive agents, in three different countries. Furthermore, we acknowledge that different model types, such as patient-level simulation models, have been used to assess the cost-effectiveness of bone-builders [21]. However, previous cost-effectiveness results were consistent with the cohort modelling approach which we applied.

Strengths and limitations

As with all analyses based on economic models, this evaluation has a number of limitations. First, the hierarchical nature of the model can lead to an underestimation of the number of vertebral and other fractures. However, an adjustment function was introduced to correct for the omitted lower hierarchy fractures. Second, there is uncertainty in the duration of treatment “offset time”—the duration of fracture reduction benefit after treatment discontinuation. While the duration of the offset time was based on clinical evidence [36], it is not possible to precisely quantify the duration of the offset time. This assumption was tested through scenario analyses. Third, there is uncertainty in the duration of excess mortality following fracture. This uncertainty was also tested in scenario analyses, with results showing that romosozumab/alendronate remained cost-effective in all cases. Fourth, international data were used where appropriate local data were not available. These included HRQoL loss due to fracture, the baseline age of the population, and RRs used to adjust general population fracture rates for fracture history and BMD. Fifth, the efficacy of romosozumab sequenced to risedronate (included as a scenario analysis) assumed that the additional fracture reduction benefit of romosozumab/risedronate versus risedronate was equivalent to that of romosozumab/alendronate versus alendronate. However, this cannot be confirmed in the absence of direct RCT evidence. In addition, the lack of real-world persistence data for romosozumab and comparators is an inherent limitation of the analysis. Finally, the model extrapolated the efficacy data for romosozumab/alendronate versus alendronate observed in the ARCH trial over the 5-year treatment period.

Policy implications and future work

Despite the limitations, this analysis provides clear evidence of the cost-effectiveness of romosozumab sequenced to alendronate versus alendronate and risedronate alone, with results that are robust to alternative deterministic and scenario analyses. There are several areas where further research is required to facilitate future cost-effectiveness analyses of romosozumab and osteoporosis treatments in general. Research is required to quantify the fracture reduction efficacy of romosozumab sequenced to an antiresorptive agent beyond the duration observed in the ARCH trial. Furthermore, osteoporosis models usually lack empirical data on the duration of fracture reduction benefit after treatment cessation. In this analysis, although romosozumab/alendronate remained cost-effective when the treatment offset time was reduced to 1 year, the number of fractures avoided versus antiresorptive agents alone was reduced, resulting in a positive ICUR of $9408 versus alendronate. Considering that results are sensitive to treatment offset time, further research in this area would help reduce this uncertainty. Third, research into the real-world persistence associated with romosozumab and subsequent antiresorptive treatment is needed. Given its longer dosing interval, it is likely that the persistence of romosozumab would be superior to that of oral alendronate and risedronate [47]. However, quantification of this persistence is required to inform economic analyses. Additionally, local data sources are required to inform the model, specifically around HRQoL. Canadian-specific HRQoL following fracture was estimated by Tarride et al. [39]; however, the population was restricted to patients in long-term care or receiving home care. Although these data were not used to inform the base case, they were tested in a scenario analysis. As such, further local evidence would improve the generalizability of future economic analyses of osteoporosis therapies in Canada and settings with close similarities in their health system such as the UK, Australia, and Western Europe. Lastly, further research on the effectiveness of treatment in other populations (i.e., male osteoporosis, patients with secondary forms of osteoporosis) could inform the potential to extrapolate the results of this analysis.

Conclusion

This is the first economic model that evaluates the cost-effectiveness of romosozumab/alendronate for the treatment of postmenopausal osteoporosis in Canada. Compared with alendronate and risedronate, romosozumab/alendronate consistently yielded cost savings and higher health benefits in postmenopausal women with a history of osteoporotic fracture and who are at very high risk for future fracture. This was due to favorable fracture efficacy, which led to a cost reduction from avoided fractures and a QALY gain compared with antiresorptive agents alone. Probabilistic, deterministic, and scenario analyses indicate that romosozumab/alendronate is likely to be cost-effective at any decision-maker threshold, including the commonly quoted $50,000 per QALY gained in Canada. Romosozumab/alendronate was associated with reduced costs and greater benefit, dominating other comparators. Given these results, romosozumab/alendronate should be considered for reimbursement by public drug plans in Canada for the treatment of osteoporosis in postmenopausal women with a history of osteoporotic fracture and who are at very high risk for future fracture.
  40 in total

1.  The current economic burden of illness of osteoporosis in Canada.

Authors:  R B Hopkins; N Burke; C Von Keyserlingk; W D Leslie; S N Morin; J D Adachi; A Papaioannou; L Bessette; J P Brown; L Pericleous; J Tarride
Journal:  Osteoporos Int       Date:  2016-05-11       Impact factor: 4.507

2.  Effects of continuing or stopping alendronate after 5 years of treatment: the Fracture Intervention Trial Long-term Extension (FLEX): a randomized trial.

Authors:  Dennis M Black; Ann V Schwartz; Kristine E Ensrud; Jane A Cauley; Silvina Levis; Sara A Quandt; Suzanne Satterfield; Robert B Wallace; Douglas C Bauer; Lisa Palermo; Lois E Wehren; Antonio Lombardi; Arthur C Santora; Steven R Cummings
Journal:  JAMA       Date:  2006-12-27       Impact factor: 56.272

3.  Cost-effectiveness of alternative treatments for women with osteoporosis in Canada.

Authors:  Ron Goeree; Gord Blackhouse; Jonathan Adachi
Journal:  Curr Med Res Opin       Date:  2006-07       Impact factor: 2.580

4.  Medication persistence and risk of fracture among female Medicare beneficiaries diagnosed with osteoporosis.

Authors:  J Liu; H Guo; P Rai; L Pinto; R Barron
Journal:  Osteoporos Int       Date:  2018-07-18       Impact factor: 4.507

5.  Time trends in oral bisphosphonate initiation in Ontario, Canada over 20 years reflect drug policy and healthcare delivery changes.

Authors:  K N Hayes; J K Ban; G Athanasiadis; A M Burden; S M Cadarette
Journal:  Osteoporos Int       Date:  2019-07-17       Impact factor: 4.507

6.  Pharmacological Management of Osteoporosis in Postmenopausal Women: An Endocrine Society Guideline Update.

Authors:  Dolores Shoback; Clifford J Rosen; Dennis M Black; Angela M Cheung; M Hassan Murad; Richard Eastell
Journal:  J Clin Endocrinol Metab       Date:  2020-03-01       Impact factor: 5.958

7.  Clinical subsequent fractures cluster in time after first fractures.

Authors:  T A C M van Geel; S van Helden; P P Geusens; B Winkens; G-J Dinant
Journal:  Ann Rheum Dis       Date:  2008-08-03       Impact factor: 19.103

8.  Cost effectiveness of denosumab versus oral bisphosphonates for postmenopausal osteoporosis in the US.

Authors:  Anju Parthan; Morgan Kruse; Nicole Yurgin; Joice Huang; Hema N Viswanathan; Douglas Taylor
Journal:  Appl Health Econ Health Policy       Date:  2013-10       Impact factor: 2.561

9.  A scorecard for osteoporosis in Canada and seven Canadian provinces.

Authors:  D L Kendler; J D Adachi; J P Brown; A G Juby; C S Kovacs; C Duperrouzel; R K McTavish; C Cameron; L Slatkovska; N Burke
Journal:  Osteoporos Int       Date:  2020-07-25       Impact factor: 4.507

10.  Loss of health related quality of life following low-trauma fractures in the elderly.

Authors:  Jean-Eric Tarride; Natasha Burke; William D Leslie; Suzanne N Morin; Jonathan D Adachi; Alexandra Papaioannou; Louis Bessette; Jacques P Brown; Louisa Pericleous; Sergei Muratov; Robert B Hopkins
Journal:  BMC Geriatr       Date:  2016-04-19       Impact factor: 3.921

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