15 results on '"Merlijn, Thomas"'
Search Results
2. A meta-analysis of previous falls and subsequent fracture risk in cohort studies
- Author
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Vandenput, Liesbeth, Johansson, Helena, McCloskey, Eugene V., Liu, Enwu, Schini, Marian, Åkesson, Kristina E., Anderson, Fred A., Azagra, Rafael, Bager, Cecilie L., Beaudart, Charlotte, Bischoff-Ferrari, Heike A., Biver, Emmanuel, Bruyère, Olivier, Cauley, Jane A., Center, Jacqueline R., Chapurlat, Roland, Christiansen, Claus, Cooper, Cyrus, Crandall, Carolyn J., Cummings, Steven R., da Silva, José A. P., Dawson-Hughes, Bess, Diez-Perez, Adolfo, Dufour, Alyssa B., Eisman, John A., Elders, Petra J. M., Ferrari, Serge, Fujita, Yuki, Fujiwara, Saeko, Glüer, Claus-Christian, Goldshtein, Inbal, Goltzman, David, Gudnason, Vilmundur, Hall, Jill, Hans, Didier, Hoff, Mari, Hollick, Rosemary J., Huisman, Martijn, Iki, Masayuki, Ish-Shalom, Sophia, Jones, Graeme, Karlsson, Magnus K., Khosla, Sundeep, Kiel, Douglas P., Koh, Woon-Puay, Koromani, Fjorda, Kotowicz, Mark A., Kröger, Heikki, Kwok, Timothy, Lamy, Olivier, Langhammer, Arnulf, Larijani, Bagher, Lippuner, Kurt, McGuigan, Fiona E. A., Mellström, Dan, Merlijn, Thomas, Nguyen, Tuan V., Nordström, Anna, Nordström, Peter, O’Neill, Terence W., Obermayer-Pietsch, Barbara, Ohlsson, Claes, Orwoll, Eric S., Pasco, Julie A., Rivadeneira, Fernando, Schott, Anne-Marie, Shiroma, Eric J., Siggeirsdottir, Kristin, Simonsick, Eleanor M., Sornay-Rendu, Elisabeth, Sund, Reijo, Swart, Karin M. A., Szulc, Pawel, Tamaki, Junko, Torgerson, David J., van Schoor, Natasja M., van Staa, Tjeerd P., Vila, Joan, Wareham, Nicholas J., Wright, Nicole C., Yoshimura, Noriko, Zillikens, MCarola, Zwart, Marta, Harvey, Nicholas C., Lorentzon, Mattias, Leslie, William D., and Kanis, John A.
- Published
- 2024
- Full Text
- View/download PDF
3. Prediction of vitamin D deficiency by simple patient characteristics
- Author
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Sohl, Evelien, Heymans, Martijn W, de Jongh, Renate T, den Heijer, Martin, Visser, Marjolein, Merlijn, Thomas, Lips, Paul, and van Schoor, Natasja M
- Published
- 2014
- Full Text
- View/download PDF
4. Update of the fracture risk prediction tool FRAX: A systematic review of potential cohorts and analysis plan
- Author
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Vandenput, Lisbeth, Johansson, H., McCloskey, E. V., Liu, E., Akesson, Kristina E., Anderson, F.A., Azagra, R., Bager, C.L., Beaudart, Charlotte, Bischoff-Ferrari, H.A., Biver, E., Bruyère, Olivier, Cauley, J.A., Center, J.R., Chapulat, R., Christiansen, C., Cooper, Cyrus, Crandall, Carolyn J., Cummings, Steven, da Silva, J.A.P., Dawson-Hughes, Bess, Diez-Pérez, A., Dufour, Alyssa B., Eisman, J.A., Elders, Petra J.M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C.C., Goldstein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, Rosemary J., Huisman, Martijn, Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M.K., Khosla, Sundeep, Kiel, D.P., Koh, W-P, Koromani, F., Kotowicz, M.A., Kroger, H., Kwok, T., Lamy, Olivier, Langhammer, Arnulf, Larijani, Bagher, Lippuner, Kurt, Mellström, D, Merlijn, Thomas, Nordstrom, A., Nordstrom, P., O'Neill, T.W., Obermayer-Piestch, B., Harvey, Nicholas, Kanis, J A., Ohlsson, C., Orwoll, E.S., Pasco, J.A., Rivadeneira, F., Schei, B., Schott, A.M., Shiroma, E.J., Siggeirsdottir, K., Simonsick, E.M., Sornay-Rendu, E., Sund, R., Swart, K.M.A., Szulc, P., Tamaki, J., Torgerson, D.J., Van Schoor, N.M., van Staa, T.P., Vilas, J.C., Wareham, N.J, Wright, N.C., Yoshimura, N., Zillikens, M.C., Zwart, M., Lorentzon, M., and Leslie, W.D.
- Abstract
Summary: We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. Introduction: The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now incorporated into more than 100 clinical osteoporosis guidelines worldwide. The aim of this study is to determine whether the current algorithms can be further optimised with respect to current and novel risk factors. Methods: A computerised literature search was performed in PubMed from inception until May 17, 2019, to identify eligible cohorts for updating the FRAX coefficients. Additionally, we searched the abstracts of conference proceedings of the American Society for Bone and Mineral Research, European Calcified Tissue Society and World Congress of Osteoporosis. Prospective cohort studies with data on baseline clinical risk factors and incident fractures were eligible. Results: Of the 836 records retrieved, 53 were selected for full-text assessment after screening on title and abstract. Twelve cohorts were deemed eligible and of these, 4 novel cohorts were identified. These cohorts, together with 60 previously identified cohorts, will provide the resource for constructing an updated version of FRAX comprising 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. For each known and candidate risk factor, multivariate hazard functions for hip fracture, major osteoporotic fracture and death will be tested using extended Poisson regression. Sex- and/or ethnicity-specific differences in the weights of the risk factors will be investigated. After meta-analyses of the cohort-specific beta coefficients for each risk factor, models comprising 10-year probability of hip and major osteoporotic fracture, with or without femoral neck bone mineral density, will be computed. Conclusions: These assembled cohorts and described models will provide the framework for an updated FRAX tool enabling enhanced assessment of fracture risk (PROSPERO (CRD42021227266)).
- Published
- 2022
5. The Effect of a Screening and Treatment Program for the Prevention of Fractures in Older Women: A Randomized Pragmatic Trial
- Author
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Merlijn, Thomas, primary, Swart, Karin MA, additional, Schoor, Natasja M, additional, Heymans, Martijn W, additional, Zwaard, Babette C, additional, Heijden, Amber A, additional, Rutters, Femke, additional, Lips, Paul, additional, Horst, Henriëtte E, additional, Niemeijer, Christy, additional, Netelenbos, J Coen, additional, and Elders, Petra JM, additional
- Published
- 2019
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6. A closer look at SCOOP: screening for fracture prevention
- Author
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Swart, Karin M A, primary, Merlijn, Thomas, additional, Netelenbos, J Coen, additional, and Elders, Petra J M, additional
- Published
- 2018
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7. Helpt Tai Chi tegen vallen?
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Merlijn, Thomas
- Published
- 2010
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8. A meta-analysis of trabecular bone score in fracture risk prediction and its relationship to FRAX
- Author
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McCloskey, Eugene V, Odén, Anders, Harvey, Nicholas C, Leslie, William D, Hans, Didier, Johansson, Helena, Barkmann, Reinhard, Boutroy, Stephanie, Brown, Jacques, Chapurlat, Roland, Elders, Petra Jm, Fujita, Yuki, Glüer, Claus-C, Goltzman, David, Iki, Masayuki, Karlsson, Magnus, Kindmark, Andreas, Kotowicz, Mark, Kurumatani, Norio, Kwok, Timothy, Lamy, Oliver, Leung, Jason, Lippuner, Kurt, Ljunggren, Östen, Lorentzon, Mattias, Mellström, Dan, Merlijn, Thomas, Oei, Ling, Ohlsson, Claes, Pasco, Julie A., Rivadeneira, Fernando, Rosengren, Björn, Sornay-Rendu, Elisabeth, Szulc, Pawel, Tamaki, Junko, Kanis, John A, McCloskey, Eugene V, Odén, Anders, Harvey, Nicholas C, Leslie, William D, Hans, Didier, Johansson, Helena, Barkmann, Reinhard, Boutroy, Stephanie, Brown, Jacques, Chapurlat, Roland, Elders, Petra Jm, Fujita, Yuki, Glüer, Claus-C, Goltzman, David, Iki, Masayuki, Karlsson, Magnus, Kindmark, Andreas, Kotowicz, Mark, Kurumatani, Norio, Kwok, Timothy, Lamy, Oliver, Leung, Jason, Lippuner, Kurt, Ljunggren, Östen, Lorentzon, Mattias, Mellström, Dan, Merlijn, Thomas, Oei, Ling, Ohlsson, Claes, Pasco, Julie A., Rivadeneira, Fernando, Rosengren, Björn, Sornay-Rendu, Elisabeth, Szulc, Pawel, Tamaki, Junko, and Kanis, John A
- Abstract
Trabecular bone score (TBS) is a grey-level textural index of bone microarchitecture derived from lumbar spine dual-energy X-ray absorptiometry (DXA) images. TBS is a BMD-independent predictor of fracture risk. The objective of this meta-analysis was to determine whether TBS predicted fracture risk independently of FRAX probability and to examine their combined performance by adjusting the FRAX probability for TBS. We utilized individual level data from 17,809 men and women in 14 prospective population-based cohorts. Baseline evaluation included TBS and the FRAX risk variables and outcomes during follow up (mean 6.7 years) comprised major osteoporotic fractures. The association between TBS, FRAX probabilities and the risk of fracture was examined using an extension of the Poisson regression model in each cohort and for each sex and expressed as the gradient of risk (GR; hazard ratio per 1SD change in risk variable in direction of increased risk). FRAX probabilities were adjusted for TBS using an adjustment factor derived from an independent cohort (the Manitoba Bone Density Cohort). Overall, the GR of TBS for major osteoporotic fracture was 1.44 (95% CI: 1.35-1.53) when adjusted for age and time since baseline and was similar in men and women (p > 0.10). When additionally adjusted for FRAX 10-year probability of major osteoporotic fracture, TBS remained a significant, independent predictor for fracture (GR 1.32, 95%CI: 1.24-1.41). The adjustment of FRAX probability for TBS resulted in a small increase in the GR (1.76, 95%CI: 1.65, 1.87 vs. 1.70, 95%CI: 1.60-1.81). A smaller change in GR for hip fracture was observed (FRAX hip fracture probability GR 2.25 vs. 2.22). TBS is a significant predictor of fracture risk independently of FRAX. The findings support the use of TBS as a potential adjustment for FRAX probability, though the impact of the adjustment remains to be determined in the context of clinical assessment guidelines.
- Published
- 2016
- Full Text
- View/download PDF
9. A meta-analysis of trabecular bone score in fracture risk prediction and its relationship to FRAX
- Author
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McCloskey, Eugene V., Odén, Anders, Harvey, Nicholas C., Leslie, William D., Hans, Didier, Johansson, Helena, Barkmann, Reinhard, Boutroy, Stephanie, Brown, Jacques, Chapurlat, Roland, Elders, Petra J. M., Fujita, Yuki, Glüer, Claus-C., Goltzman, David, Iki, Masayuki, Karlsson, Magnus, Kindmark, Andrea, Kotowicz, Mark, Kurumatani, Norio, Kwok, Timothy, Lamy, Oliver, Leung, Jason, Lippuner, Kurt, Ljunggren, Östen, Lorentzon, Mattias, Mellström, Dan, Merlijn, Thomas, Oei, Ling, Ohlsson, Claes, Pasco, Julie A., Rivadeneira, Fernando, Rosengren, Björn, Sornay-Rendu, Elisabeth, Szulc, Pawel, Tamaki, Junko, Kanis, John A., McCloskey, Eugene V., Odén, Anders, Harvey, Nicholas C., Leslie, William D., Hans, Didier, Johansson, Helena, Barkmann, Reinhard, Boutroy, Stephanie, Brown, Jacques, Chapurlat, Roland, Elders, Petra J. M., Fujita, Yuki, Glüer, Claus-C., Goltzman, David, Iki, Masayuki, Karlsson, Magnus, Kindmark, Andrea, Kotowicz, Mark, Kurumatani, Norio, Kwok, Timothy, Lamy, Oliver, Leung, Jason, Lippuner, Kurt, Ljunggren, Östen, Lorentzon, Mattias, Mellström, Dan, Merlijn, Thomas, Oei, Ling, Ohlsson, Claes, Pasco, Julie A., Rivadeneira, Fernando, Rosengren, Björn, Sornay-Rendu, Elisabeth, Szulc, Pawel, Tamaki, Junko, and Kanis, John A.
- Abstract
Trabecular bone score (TBS) is a grey-level textural index of bone microarchitecture derived from lumbar spine dual-energy X-ray absorptiometry (DXA) images. TBS is a BMD-independent predictor of fracture risk. The objective of this meta-analysis was to determine whether TBS predicted fracture risk independently of FRAX probability and to examine their combined performance by adjusting the FRAX probability for TBS. We utilized individual level data from 17,809 men and women in 14 prospective population-based cohorts. Baseline evaluation included TBS and the FRAX risk variables and outcomes during follow up (mean 6.7 years) comprised major osteoporotic fractures. The association between TBS, FRAX probabilities and the risk of fracture was examined using an extension of the Poisson regression model in each cohort and for each sex and expressed as the gradient of risk (GR; hazard ratio per 1SD change in risk variable in direction of increased risk). FRAX probabilities were adjusted for TBS using an adjustment factor derived from an independent cohort (the Manitoba Bone Density Cohort). Overall, the GR of TBS for major osteoporotic fracture was 1.44 (95% CI: 1.35-1.53) when adjusted for age and time since baseline and was similar in men and women (p > 0.10). When additionally adjusted for FRAX 10-year probability of major osteoporotic fracture, TBS remained a significant, independent predictor for fracture (GR 1.32, 95%CI: 1.24-1.41). The adjustment of FRAX probability for TBS resulted in a small increase in the GR (1.76, 95%CI: 1.65, 1.87 vs. 1.70, 95%CI: 1.60-1.81). A smaller change in GR for hip fracture was observed (FRAX hip fracture probability GR 2.25 vs. 2.22). TBS is a significant predictor of fracture risk independently of FRAX. The findings support the use of TBS as a potential adjustment for FRAX probability, though the impact of the adjustment remains to be determined in the context of clinical assessment guidelines.
- Published
- 2016
10. A Meta-Analysis of Trabecular Bone Score in Fracture Risk Prediction and Its Relationship to FRAX
- Author
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McCloskey, Eugene V, primary, Odén, Anders, additional, Harvey, Nicholas C, additional, Leslie, William D, additional, Hans, Didier, additional, Johansson, Helena, additional, Barkmann, Reinhard, additional, Boutroy, Stephanie, additional, Brown, Jacques, additional, Chapurlat, Roland, additional, Elders, Petra JM, additional, Fujita, Yuki, additional, Glüer, Claus-C, additional, Goltzman, David, additional, Iki, Masayuki, additional, Karlsson, Magnus, additional, Kindmark, Andreas, additional, Kotowicz, Mark, additional, Kurumatani, Norio, additional, Kwok, Timothy, additional, Lamy, Oliver, additional, Leung, Jason, additional, Lippuner, Kurt, additional, Ljunggren, Östen, additional, Lorentzon, Mattias, additional, Mellström, Dan, additional, Merlijn, Thomas, additional, Oei, Ling, additional, Ohlsson, Claes, additional, Pasco, Julie A, additional, Rivadeneira, Fernando, additional, Rosengren, Björn, additional, Sornay-Rendu, Elisabeth, additional, Szulc, Pawel, additional, Tamaki, Junko, additional, and Kanis, John A, additional
- Published
- 2015
- Full Text
- View/download PDF
11. Physiological concentrations of insulin induce endothelin-mediated vasoconstriction during inhibition of NOS or PI3-kinase in skeletal muscle arterioles
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Eringa, Etto C., Stehouwer, Coen D.A., Merlijn, Thomas, Westerhof, Nico, and Sipkema, Pieter
- Subjects
ENDOTHELINS ,MICROCIRCULATION ,NITRIC oxide - Abstract
Objective: To determine the roles of nitric oxide, endothelin-1 and phosphatidylinositol 3-kinase (PI3-kinase) in acute responses of isolated rat skeletal muscle arterioles to insulin. Methods: Rat cremaster first order arterioles were separated from surrounding tissue, cannulated in a pressure myograph and responses to insulin (4 μU/ml–3.4 mU/ml) were studied without intraluminal blood or flow. Results: Insulin alone did not significantly affect arteriolar diameter. Non-selective antagonism of endothelin receptors, with PD-142893, uncovered insulin-induced vasodilatation (25±8% from baseline at 3.4 mU/ml), which was abolished by inhibition of NO synthesis with N
G -nitro-l-arginine (l-NA). Inhibition of NO synthesis alone uncovered insulin-induced vasoconstriction at physiological concentrations (21±5% from baseline diameter at 34 μU/ml), which was abolished by PD-142893. The NO donor, S-nitroso-N-acetyl-penicillamine (SNAP) inhibited insulin-induced vasoconstriction during NOS inhibition, even at a concentration that did not elicit vasodilatation itself. Inhibition of PI3-kinase, an intracellular mediator of insulin-induced NO production, with wortmannin, also uncovered insulin-induced vasoconstriction (13±3% from baseline at 34 μU/ml) that was abolished by PD-142893. Conclusions: Insulin induces both nitric oxide and endothelin-1 activity in rat cremaster first-order arterioles. This study demonstrates for the first time that vasoconstrictive effects of physiological concentrations of insulin during inhibition of NOS activity are mediated by endothelin and that insulin induces endothelin-1-mediated vasoconstriction in isolated skeletal muscle arterioles during inhibition of PI3-kinase. These findings support the hypothesis of altered microvascular reactivity to insulin in conditions of diminished PI3-kinase activity, a prominent feature of insulin resistance. [Copyright &y& Elsevier]- Published
- 2002
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12. Tai Chi één van de weinige effectieve maatregelen tegen vallen.
- Author
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Merlijn, Thomas
- Published
- 2010
- Full Text
- View/download PDF
13. [Fracture prevention: breaking with the guideline?]
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Merlijn T, Elders PJM, and van der Horst HE
- Subjects
- Humans, Female, Aged, Middle Aged, Aged, 80 and over, Fractures, Bone prevention & control, Hip Fractures prevention & control, Mass Screening, Age Factors, Male, Bone Density, Risk Factors, Practice Guidelines as Topic
- Abstract
We have evaluated the merits and scientific underpinning of two different forms of fracture prevention. The first is the fracture liaison service(FLS), in which persons aged 50 years or older who have suffered a fracture are assessed and treated. The second is a stepped screening program for women aged 65 years or older, utilizing questionnaires and bone densitometry to identify those with the highest fracture risk for treatment. The FLS approach is based on indirect evidence and has not been studied in randomised studies. There is a lack of evidence for effectiveness in the younger age group of 50-65 years. A meta-analysis of three randomised studies in older women showed a 20% risk reduction of hip fractures. We suggest that FLS should focus on the group >65 years and that an additional once in a life time fracture risk screening program in women of 75-80 year should be considered.
- Published
- 2024
14. A Meta-Analysis of Trabecular Bone Score in Fracture Risk Prediction and Its Relationship to FRAX.
- Author
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McCloskey EV, Odén A, Harvey NC, Leslie WD, Hans D, Johansson H, Barkmann R, Boutroy S, Brown J, Chapurlat R, Elders PJM, Fujita Y, Glüer CC, Goltzman D, Iki M, Karlsson M, Kindmark A, Kotowicz M, Kurumatani N, Kwok T, Lamy O, Leung J, Lippuner K, Ljunggren Ö, Lorentzon M, Mellström D, Merlijn T, Oei L, Ohlsson C, Pasco JA, Rivadeneira F, Rosengren B, Sornay-Rendu E, Szulc P, Tamaki J, and Kanis JA
- Subjects
- Female, Humans, Male, Prospective Studies, Risk Factors, Bone Density, Hip Fractures diagnostic imaging, Hip Fractures etiology, Hip Fractures metabolism, Lumbar Vertebrae diagnostic imaging, Lumbar Vertebrae metabolism, Models, Biological, Osteoporosis complications, Osteoporosis diagnostic imaging, Osteoporosis metabolism, Spinal Fractures diagnostic imaging, Spinal Fractures etiology, Spinal Fractures metabolism
- Abstract
Trabecular bone score (TBS) is a gray-level textural index of bone microarchitecture derived from lumbar spine dual-energy X-ray absorptiometry (DXA) images. TBS is a bone mineral density (BMD)-independent predictor of fracture risk. The objective of this meta-analysis was to determine whether TBS predicted fracture risk independently of FRAX probability and to examine their combined performance by adjusting the FRAX probability for TBS. We utilized individual-level data from 17,809 men and women in 14 prospective population-based cohorts. Baseline evaluation included TBS and the FRAX risk variables, and outcomes during follow-up (mean 6.7 years) comprised major osteoporotic fractures. The association between TBS, FRAX probabilities, and the risk of fracture was examined using an extension of the Poisson regression model in each cohort and for each sex and expressed as the gradient of risk (GR; hazard ratio per 1 SD change in risk variable in direction of increased risk). FRAX probabilities were adjusted for TBS using an adjustment factor derived from an independent cohort (the Manitoba Bone Density Cohort). Overall, the GR of TBS for major osteoporotic fracture was 1.44 (95% confidence interval [CI] 1.35-1.53) when adjusted for age and time since baseline and was similar in men and women (p > 0.10). When additionally adjusted for FRAX 10-year probability of major osteoporotic fracture, TBS remained a significant, independent predictor for fracture (GR = 1.32, 95% CI 1.24-1.41). The adjustment of FRAX probability for TBS resulted in a small increase in the GR (1.76, 95% CI 1.65-1.87 versus 1.70, 95% CI 1.60-1.81). A smaller change in GR for hip fracture was observed (FRAX hip fracture probability GR 2.25 vs. 2.22). TBS is a significant predictor of fracture risk independently of FRAX. The findings support the use of TBS as a potential adjustment for FRAX probability, though the impact of the adjustment remains to be determined in the context of clinical assessment guidelines. © 2015 American Society for Bone and Mineral Research., (© 2015 American Society for Bone and Mineral Research.)
- Published
- 2016
- Full Text
- View/download PDF
15. [Bone densitometry: widening the indication is neither effective nor efficient].
- Author
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Merlijn T, Elders PJ, van Schoor NM, Niemeijer CJ, Merlijn M, Netenlenbos CJ, Knol DL, and Lips P
- Subjects
- Age Factors, Aged, Aged, 80 and over, Female, Humans, Middle Aged, Reference Values, Risk Factors, Bone Density physiology, Densitometry standards, Fractures, Bone prevention & control, Osteoporosis diagnosis
- Published
- 2010
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