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The effectiveness and cost-effectiveness of clinical fracture-risk assessment tools in reducing future osteoporotic fractures among older adults: a structured scoping review

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Abstract

Summary

This scoping review described the use, effectiveness, and cost-effectiveness of clinical fracture-risk assessment tools to prevent future osteoporotic fractures among older adults. Results show that the screening was not superior in preventing all osteoporosis-related fractures to usual care. However, it positively influenced participants’ perspectives on osteoporosis, may have reduced hip fractures, and seemed cost-effective.

Purpose

We aim to provide a synopsis of the evidence about the use of clinical fracture-risk assessment tools to influence health outcomes, including reducing future osteoporotic fractures and their cost-effectiveness.

Methods

We followed the guidelines of Arksey and O’Malley and their modifications. A comprehensive search strategy was created to search CINAHL, Medline, and Embase databases until June 29, 2021, with no restrictions. We critically appraised the quality of all included studies.

Results

Fourteen studies were included in the review after screening 2484 titles and 68 full-text articles. Four randomized controlled trials investigated the effectiveness of clinical fracture-risk assessment tools in reducing all fractures among older women. Using those assessment tools did not show a statistically significant reduction in osteoporotic fracture risk compared to usual care; however, additional analyses of two of these trials showed a trend toward reducing hip fractures, and the results might be clinically significant. Four studies tested the impact of screening programs on other health outcomes, and participants reported positive results. Eight simulation studies estimated the cost-effectiveness of using these tools to screen for fractures, with the majority showing significant potential savings.

Conclusion

According to the available evidence to date, using clinical fracture-risk assessment screening tools was not more effective than usual care in preventing all osteoporosis-related fractures. However, using those screening tools positively influenced women’s perspectives on osteoporosis, may have reduced hip fracture risk, and could potentially be cost-effective. This is a relatively new research area where additional studies are needed.

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References

  1. Kingkaew P, Maleewong U, Ngarmukos C, Teerawattananon Y (2012) Evidence to inform decision makers in Thailand: a cost-effectiveness analysis of screening and treatment strategies for postmenopausal osteoporosis. Value Health 15(1 Suppl):S20-28

    Article  PubMed  Google Scholar 

  2. Salari N, Ghasemi H, Mohammadi L, Behzadi MH, Rabieenia E, Shohaimi S, Mohammadi M (2021) The global prevalence of osteoporosis in the world: a comprehensive systematic review and meta-analysis. J Orthopaedic Surgery and Research 16(1):1–20

    Google Scholar 

  3. Sozen T, Ozisik L, Basaran NC (2017) An overview and management of osteoporosis. Eur J Rheumatol 4(1):46–56

    Article  PubMed  Google Scholar 

  4. Government of Canada (2021) Osteoporosis and related fractures in Canada. City.

  5. Leibson CL, Tosteson ANA, Gabriel SE, Ransom JE, Melton LJ (2002) Mortality, disability, and nursing home use for persons with and without hip fracture: a population-based study. J Am Geriatr Soc 50(10):1644–1650

    Article  PubMed  Google Scholar 

  6. Schuit SC, van der Klift M, Weel AE, de Laet CE, Burger H, Seeman E, Hofman A, Uitterlinden AG, van Leeuwen JP, Pols HA (2004) Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam Study. Bone 34(1):195–202

    Article  CAS  PubMed  Google Scholar 

  7. Kanis JA, Johansson H, Oden A, Cooper C, McCloskey EV (2014) Epidemiology and Quality of Life Working Group of, I. O. F. Worldwide uptake of FRAX. Arch Osteoporos 9(1):166

    Article  CAS  PubMed  Google Scholar 

  8. Fraser LA, Langsetmo L, Berger C, Ioannidis G, Goltzman D, Adachi JD, Papaioannou A, Josse R, Kovacs CS, Olszynski WP, Towheed T, Hanley DA, Kaiser SM, Prior J, Jamal S, Kreiger N, Brown JP, Johansson H, Oden A, McCloskey E, Kanis JA, Leslie WD, G CaMos Research (2011) Fracture prediction and calibration of a Canadian FRAX(R) tool: a population-based report from CaMos. Osteoporos Int 22(3):829–837

    Article  PubMed  Google Scholar 

  9. Leslie WD, Lix LM, Johansson H, Oden A, McCloskey E, Kanis JA, P Manitoba Bone Density (2010) Independent clinical validation of a Canadian FRAX tool: fracture prediction and model calibration. J Bone Miner Res 25(11):2350–2358

    Article  PubMed  Google Scholar 

  10. Levac D, Colquhoun H, O’Brien KK (2010) Scoping studies: advancing the methodology. Implement Sci 5(1):69

    Article  PubMed  PubMed Central  Google Scholar 

  11. Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, Moher D, Peters MDJ, Horsley T, Weeks L, Hempel S, Akl EA, Chang C, McGowan J, Stewart L, Hartling L, Aldcroft A, Wilson MG, Garritty C, Lewin S, Godfrey CM, Macdonald MT, Langlois EV, Soares-Weiser K, Moriarty J, Clifford T, Tuncalp O, Straus SE (2018) PRISMA Extension for Scoping Reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med 169(7):467–473

    Article  PubMed  Google Scholar 

  12. Kanis JA, Hans D, Cooper C, Baim S, Bilezikian JP, Binkley N, Cauley JA, Compston JE, Dawson-Hughes B, El-Hajj Fuleihan G, Johansson H, Leslie WD, Lewiecki EM, Luckey M, Oden A, Papapoulos SE, Poiana C, Rizzoli R, Wahl DA, McCloskey EV, FI Task Force of the (2011) Interpretation and use of FRAX in clinical practice. Osteoporos Int 22(9):2395–2411

    Article  CAS  PubMed  Google Scholar 

  13. Garvan Institute of Medical Research (2008) Bone Fracture Risk Calculator. City.

  14. Siminoski K, Leslie WD, Frame H, Hodsman A, Josse RG, Khan A, Lentle BC, Levesque J, Lyons DJ, Tarulli G, Brown JP (2007) Recommendations for bone mineral density reporting in Canada: a shift to absolute fracture risk assessment. J Clin Densitom 10(2):120–123

    Article  PubMed  Google Scholar 

  15. Nayak S, Roberts MS, Greenspan SL (2011) Cost-effectiveness of different screening strategies for osteoporosis in postmenopausal women. Ann Intern Med 155(11):751–761

    Article  PubMed  PubMed Central  Google Scholar 

  16. Shepstone L, Lenaghan E, Cooper C, Clarke S, Fong-Soe-Khioe R, Fordham R, Gittoes N, Harvey I, Harvey N, Heawood A, Holland R, Howe A, Kanis J, Marshall T, O’Neill T, Peters T, Redmond N, Torgerson D, Turner D, McCloskey E, SS Team (2018) Screening in the community to reduce fractures in older women (SCOOP): a randomised controlled trial. Lancet 391(10122):741–747

    Article  PubMed  Google Scholar 

  17. Rubin KH, Rothmann MJ, Holmberg T, Hoiberg M, Moller S, Barkmann R, Gluer CC, Hermann AP, Bech M, Gram J, Brixen K (2018) Effectiveness of a two-step population-based osteoporosis screening program using FRAX: the randomized Risk-stratified Osteoporosis Strategy Evaluation (ROSE) study. Osteoporos Int 29(3):567–578

    Article  CAS  PubMed  Google Scholar 

  18. Merlijn T, Swart KM, van Schoor NM, Heymans MW, van der Zwaard BC, van der Heijden AA, Rutters F, Lips P, van der Horst HE, Niemeijer C, Netelenbos JC, Elders PJ (2019) The effect of a screening and treatment program for the prevention of fractures in older women: a randomized pragmatic trial. J Bone Miner Res 34(11):1993–2000

    Article  PubMed  Google Scholar 

  19. Lacroix AZ, Buist DS, Brenneman SK, Abbott TA 3rd (2005) Evaluation of three population-based strategies for fracture prevention: results of the osteoporosis population-based risk assessment (OPRA) trial. Med Care 43(3):293–302

    Article  PubMed  Google Scholar 

  20. Rothmann MJ, Huniche L, Ammentorp J, Barkmann R, Gluer CC, Hermann AP (2014) Women’s perspectives and experiences on screening for osteoporosis (Risk-stratified Osteoporosis Strategy Evaluation, ROSE). Arch Osteoporos 9(1):192

    Article  PubMed  Google Scholar 

  21. Dunniway DL, Camune B, Baldwin K, Crane JK (2012) FRAX(R) counseling for bone health behavior change in women 50 years of age and older. J Am Acad Nurse Pract 24(6):382–389

    Article  PubMed  Google Scholar 

  22. Ito K, Leslie WD (2015) Cost-effectiveness of fracture prevention in rural women with limited access to dual-energy X-ray absorptiometry. Osteoporos Int 26(8):2111–2119

    Article  CAS  PubMed  Google Scholar 

  23. Walter E, Dellago H, Grillari J, Dimai HP, Hack M (2018) Cost-utility analysis of fracture risk assessment using microRNAs compared with standard tools and no monitoring in the Austrian female population. Bone 108:44–54

    Article  CAS  PubMed  Google Scholar 

  24. Chandran M, Ganesan G, Tan KB, Reginster JY, Hiligsmann M (2021) Cost-effectiveness of FRAX(R)-based intervention thresholds for management of osteoporosis in Singaporean women. Osteoporos Int 32(1):133–144

    Article  CAS  PubMed  Google Scholar 

  25. Martin-Sanchez M, Comas M, Posso M, Louro J, Domingo L, Tebe C, Castells X, Espallargues M (2019) Cost-Effectiveness of the screening for the primary prevention of fragility hip fracture in spain using FRAX((R)). Calcif Tissue Int 105(3):263–270

    Article  CAS  PubMed  Google Scholar 

  26. Soini E, Riekkinen O, Kroger H, Mankinen P, Hallinen T, Karjalainen JP (2018) Cost-effectiveness of pulse-echo ultrasonometry in osteoporosis management. Clinicoecon Outcomes Res 10:279–292

    Article  PubMed  PubMed Central  Google Scholar 

  27. Su Y, Lai FTT, Yip BHK, Leung JCS, Kwok TCY (2018) Cost-effectiveness of osteoporosis screening strategies for hip fracture prevention in older Chinese people: a decision tree modeling study in the Mr. OS and Ms. OS cohort in Hong Kong. Osteoporos Int 29(8):1793–1805

    Article  CAS  PubMed  Google Scholar 

  28. Papaioannou A, Kennedy CC, Ioannidis G, Sawka A, Hopman WM, Pickard L, Brown JP, Josse RG, Kaiser S, Anastassiades T, Goltzman D, Papadimitropoulos M, Tenenhouse A, Prior JC, Olszynski WP, Adachi JD, G CaMos Study (2009) The impact of incident fractures on health-related quality of life: 5 years of data from the Canadian Multicentre Osteoporosis Study. Osteoporos Int 20(5):703–714

    Article  CAS  PubMed  Google Scholar 

  29. Auais M, Morin SN, Finch L, Ahmed S, Mayo N (2018) Toward a meaningful definition of recovery after hip fracture: comparing two definitions for community-dwelling older adults. Arch Phys Med Rehabil 99(6):1108–1115

    Article  PubMed  Google Scholar 

  30. Denkinger MD, Lukas A, Nikolaus T, Hauer K (2015) Factors associated with fear of falling and associated activity restriction in community-dwelling older adults: a systematic review. Am J Geriatr Psychiatry 23(1):72–86

    Article  PubMed  Google Scholar 

  31. Lewiecki EM (2005) Clinical applications of bone density testing for osteoporosis. Minerva Med 96(5):317–330

    CAS  PubMed  Google Scholar 

  32. Osteoporosis Canada (2015) Make the FIRST break the LAST with Fracture Liasion Services. City.

  33. Osteoporosis Canada (2016) Better Bone Health: 2015–2016 annual report. City.

Download references

Acknowledgements

We would like to acknowledge the support of Ms. Paola Durando MLS, AHIP, Health Sciences Librarian, Queen's University Library, who helped with creating and performing the search strategy. We would like to also thank Yuan Chen and Tiffany Wing Lam for helping in screening articles.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohammad Auais.

Ethics declarations

Ethical approval

Not applicable

Conflicts of interest

None.

Additional information

Publisher's note

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Appendices

Appendix 1. Search Strategies for three databases

Medline

Search terms

Results

1 frax.mp

1484

2 garvan.mp

65

3 qfracture.mp

42

4 caroc.mp

22

5 (fracture* adj5 risk assessment*).mp

1639

6 risk assessment*.mp

327,007

7 Risk Assessment/

283,558

8 1 or 2 or 3 or 4 or 5 or 6 or 7

327,557

9 osteoporosis/ or osteopSearchorosis, postmenopausal/

57,951

10 osteoporosis.mp

91,742

11 osteoporotic fracture*.mp

11,997

12 fragility fracture*.mp

4084

13 hip fractures/ or femoral neck fractures/

25,509

14 hip fracture*.mp

24,547

15 or/9–14

120,913

16 8 and 15

5482

17 limit 16 to humans

5070

18 limit 17 to yr = “2000–current”

4864

19 limit 18 to dt = 20,180,701–20,210,629

762

20 fracture risk scale*.mp

6

21 19 or 20

766

Embase

Search terms

Results

1 frax.mp

4017

2 garvan.mp

154

3 qfracture.mp

110

4 caroc.mp

46

5 (fracture* adj5 risk assessment*).mp

3185

6 risk assessment*.mp

651,218

7 risk assessment/

619,253

8 1 or 2 or 3 or 4 or 5 or 6 or 7

653,210

9 exp osteoporosis/

143,291

10 osteoporosis.mp

170,261

11 osteoporotic fracture*.mp

13,188

12 fragility fracture*.mp

22,012

13 exp hip fracture/

42,826

14 hip fracture*.mp

37,422

15 or/9–14

208,790

16 8 and 15

16,518

17 limit 16 to human

15,890

18 limit 17 to yr = “2000–current”

15,084

19 limit 18 to dc = 20,180,701–20,210,629

4114

20 fracture risk scale*.mp

8

21 19 or 20

4118

22 limit 21 to (books or chapter or conference abstract or conference paper or “conference review” or editorial)

1898

23 21 not 22

2220

CINAHL

Search ID#

Search terms

Search options

Results

S16

S14 OR S15

Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

497

S15

“fracture risk scale*”

Limiters—Published Date: 20,180,701–20,210,731; Human Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

1

S14

S8 AND S13

Limiters—Published Date: 20,180,701–20,210,731; Human Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

497

S13

S9 OR S10 OR S11 OR S12

Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

33,588

S12

(MH “Hip Fractures”)

Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

10,843

S11

“fragility fracture*”

Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

1,400

S10

(MH “Osteoporotic Fractures”)

Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

629

S9

(MH “Osteoporosis + ”)

Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

23,589

S8

S1 OR S2 OR S3 OR S4 OR S5 OR S6 OR S7

Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

124,629

S7

“risk assessment”

Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

124,231

S6

(MH “Risk Assessment”)

Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

116,820

S5

“fracture risk assessment*”

Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

376

S4

“caroc”

Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

6

S3

“qfracture”

Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

17

S2

“garvan”

Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

199

S1

“frax”

Expanders—Apply related words; Apply equivalent subjects

Search modes—Boolean/Phrase

523

Appendix 2. PEDro Scales completed for the RCT studies

PEDro Criteria

LaCroix, 2005

Shepstone, 2017

Rubin, 2017

Merlijn, 2019

1. Eligibility criteria were specified

2. Subjects were randomly allocated to groups (in a crossover study, subjects were randomly allocated an order in which treatments were received)

1

1

1

1

3. Allocation was concealed

0

0

0

0

4. The groups were similar at baseline regarding the most important prognostic indicators

0

1

1

1

5. There was blinding of all subjects

1

0

0

0

6. There was blinding of all therapists who administered the therapy

0

0

0

0

7. There was blinding of all assessors who measured at least one key outcome

0

0

0

1

8. Measures of at least one key outcome were obtained from more than 85% of the subjects initially allocated to groups

1

1

0

1

9. All subjects for whom outcome measures were available received the treatment or control condition as allocated or, where this was not the case, data for at least one key outcome was analyzed by “intention to treat”

1

1

1

1

10. The results of between-group statistical comparisons are reported for at least one key outcome

1

1

1

1

11. The study provides both point measures and measures of variability for at least one key outcome

0

1

1

1

Overall PEDro Score

5/10

6/10

5/10

7/10

Appendix 3. CASP tool for qualitative studies

CASP tool

Dunniway,2010

Rothman,2014

Section A: Are the results valid

1. Was there a clear statement of the aims of the research?

Yes

Yes

2. Is a qualitative methodology appropriate

Yes

Yes

3. Was the research design appropriate to address the aims of the research?

Yes

Yes

4. Was the recruitment strategy appropriate to the aims of the research?

Yes

Yes

5. Was the data collected in a way that addressed the research issue?

Yes

Yes

6. Has the relationship between researcher and participants been adequately considered

No

Unclear

Section B: What are the results?

7. Have ethical issues been taken into consideration?

Unclear

Yes

8. Was the data analysis sufficiently rigorous?

Yes

Yes

9. Is there a clear statement of findings?

Yes

Yes

Section C: Will the results help locally?

10. How valuable is the research

Page 7

Page 8

Appendix 4. CHEERS for economical evaluations

CHEERS 2022 Checklist

Studies

Item #

Items

Guidance for Reposting

Nayak, 2011

Kingkaew, 2011

Ito,2015

Walter, 2017

Soini, 2018

Su, 2018

Martin-Sanchez, 2019

Chandra, 2020

1

Title

Identify the study as an economic evaluation and specify the interventions being compared

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

2

Abstract

Provide a structured summary that highlights context, key methods, results, and alternative analyses

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

3

Background and objectives

Give the context for the study, the study question, and its practical relevance for decision-making in policy or practice

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

4

Health economic analysis plan

Indicate whether a health economic analysis plan was developed and where available

Not Reported

Not Reported

Not Reported

Reported

Reported

Not Reported

Not Reported

Not Reported

5

Study population

Describe characteristics of the study population (such as age range, demographics, socioeconomic, or clinical characteristics)

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

6

Setting and location

Provide relevant contextual information that may influence findings

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

7

Comparators

Describe the interventions or strategies being compared and why chosen

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

8

Perspective

State the perspective(s) adopted by the study and why chosen

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

9

Time horizon

State the time horizon for the study and why appropriate

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

10

Discount rate

Report the discount rate(s) and reason chosen

Reported

Reported

Reported

Reported

Reported

Not Reported

Reported

Reported

11

Selection of outcomes

Describe what outcomes were used as the measure(s) of benefit(s) and harm(s)

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

12

Measurement of outcomes

Describe how outcomes used to capture benefit(s) and harm(s) were measured

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

13

Valuation of outcomes

Describe the population and methods used to measure and value outcomes

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

14

Measurement and valuation of resources and costs

Describe how costs were valued

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

15

Currency, price date, and conversion

Report the dates of the estimated resource quantities and unit costs, plus the currency and year of conversion

Reported

Reported

Reported

Reported

Reported

Not Reported

Reported

Reported

16

Rationale and description of model

If modeling is used, describe in detail and why used. Report if the model is publicly available and where it can be accessed

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

17

Analytics and assumptions

Describe any methods for analyzing or statistically transforming data, any extrapolation methods, and approaches for validating any model used

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

18

Characterizing heterogeneity

Describe any methods used for estimating how the results of the study vary for sub-groups

Reported

Not Reported

Not Reported

Not Reported

Not Reported

Reported

Reported

Reported

19

Characterizing distributional effects

Describe how impacts are distributed across different individuals or adjustments made to reflect priority populations

Reported

Not Reported

Not Reported

Reported

Not Reported

Reported

Reported

Reported

20

Characterizing uncertainty

Describe methods to characterize any sources of uncertainty in the analysis

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

21

Approach to engagement with patients and others affected by the study

Describe any approaches to engage patients or service recipients, the general public, communities, or stakeholders (e.g., clinicians or payers) in the design of the study

Not Reported

Reported

Not Reported

Not Reported

Not Reported

Not Reported

Reported

Not Reported

22

Study parameters

Report all analytic inputs (e.g., values, ranges, references) including uncertainty or distributional assumptions

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

23

Summary of main results

Report the mean values for the main categories of costs and outcomes of interest and summarize them in the most appropriate overall measure

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

24

Effect of uncertainty

Describe how uncertainty about analytic judgments, inputs, or projections affect findings. Report the effect of choice of discount rate and time horizon, if applicable

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

25

Effect of engagement with patients and others affected by the study

Report on any difference patient/service recipient, general public, community, or stakeholder involvement made to the approach or findings of the study

Not Reported

Not Reported

Not Reported

Not Reported

Not Reported

Not Reported

Not Reported

Not Reported

26

Study findings, limitations, generalizability, and current knowledge

Report key findings, limitations, ethical or equity considerations not captured, and how these could impact patients, policy, or practice

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

27

Source of funding

Describe how the study was funded and any role of the funder in the identification, design, conduct, and reporting of the analysis

Reported

Reported

Not Reported

Reported

Reported

Reported

Reported

Reported

28

Conflicts of interest

Report authors conflicts of interest according to journal or International Committee of Medical Journal Editors requirements

Reported

Reported

Reported

Reported

Reported

Reported

Reported

Reported

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Auais, M., Angermann, H., Grubb, M. et al. The effectiveness and cost-effectiveness of clinical fracture-risk assessment tools in reducing future osteoporotic fractures among older adults: a structured scoping review. Osteoporos Int 34, 823–840 (2023). https://doi.org/10.1007/s00198-022-06659-6

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