Skip to main content
Erschienen in: Endocrine 1/2023

14.07.2023 | Original Article

A novel primary osteoporosis screening tool (POST) for adults aged 50 years and over

verfasst von: Yuchen Tang, Jinmin Liu, Cong Tian, Zhiwei Feng, Xiaohui Zhang, Yayi Xia, Bin Geng

Erschienen in: Endocrine | Ausgabe 1/2023

Einloggen, um Zugang zu erhalten

Abstract

Purpose

This study aimed to develop and validate a simple primary osteoporosis screening tool (POST) based on adults aged 50 years and older.

Methods

This study included participants aged ≥50 from the National Health and Nutrition Examination Survey. Osteoporosis was defined according to bone mineral density values. The POST was developed based on methods from previous studies. Moreover, we plotted the receiver operating characteristic curves to calculate the area under the curve (AUC) and determine the optimal cut-off value according to the weighted Youden index. In addition, we compared the performances in identifying individuals with osteoporosis between the POST and the Osteoporosis Self-assessment Tool (OST). Finally, we also assessed the performance of the POST in the Chinese population.

Results

Finally, a total of 6665 individuals were included in this study. The AUC values of the POST for identifying individuals with osteoporosis in the development cohort and the validation cohort were 0.81 (95% CI: 0.79–0.83) and 0.81 (95% CI: 0.77–0.84), respectively. Moreover, a POST-score ≥7 was determined as the threshold to identify individuals with osteoporosis, in which the sensitivity was greater than 90%. In addition, the POST showed significantly higher sensitivity than the OST. Finally, the POST showed an AUC of 0.75 (95% CI: 0.65–0.85) among 94 Chinese subjects aged ≥50 years old.

Conclusions

POST is a convenient and effective tool for osteoporosis screening among adults aged 50 years and over, which might provide new methodological support for future osteoporosis screening.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
2.
3.
Zurück zum Zitat J.A. Kanis, O. Johnell, A. Oden, I. Sembo, I. Redlund-Johnell, A. Dawson, C. De Laet, B. Jonsson, Long-term risk of osteoporotic fracture in Malmö. Osteoporos. Int. 11, 669–674 (2000)PubMedCrossRef J.A. Kanis, O. Johnell, A. Oden, I. Sembo, I. Redlund-Johnell, A. Dawson, C. De Laet, B. Jonsson, Long-term risk of osteoporotic fracture in Malmö. Osteoporos. Int. 11, 669–674 (2000)PubMedCrossRef
4.
Zurück zum Zitat L.J. Melton 3rd, E.J. Atkinson, M.K. O’Connor, W.M. O’Fallon, B.L. Riggs, Bone density and fracture risk in men. J. Bone Miner. Res. 13, 1915–1923 (1998)PubMedCrossRef L.J. Melton 3rd, E.J. Atkinson, M.K. O’Connor, W.M. O’Fallon, B.L. Riggs, Bone density and fracture risk in men. J. Bone Miner. Res. 13, 1915–1923 (1998)PubMedCrossRef
5.
Zurück zum Zitat N.E. Lane, Epidemiology, etiology, and diagnosis of osteoporosis. Am. J. Obstet. Gynecol. 194, S3–S11 (2006)PubMedCrossRef N.E. Lane, Epidemiology, etiology, and diagnosis of osteoporosis. Am. J. Obstet. Gynecol. 194, S3–S11 (2006)PubMedCrossRef
6.
Zurück zum Zitat M.S. LeBoff, S.L. Greenspan, K.L. Insogna, E.M. Lewiecki, K.G. Saag, A.J. Singer, E.S. Siris, The clinician’s guide to prevention and treatment of osteoporosis. Osteoporos. Int. 33, 2049–2102 (2022). M.S. LeBoff, S.L. Greenspan, K.L. Insogna, E.M. Lewiecki, K.G. Saag, A.J. Singer, E.S. Siris, The clinician’s guide to prevention and treatment of osteoporosis. Osteoporos. Int. 33, 2049–2102 (2022).
7.
Zurück zum Zitat F. Cosman, S.J. de Beur, M.S. LeBoff, E.M. Lewiecki, B. Tanner, S. Randall, R. Lindsay, Clinician’s guide to prevention and treatment of osteoporosis. Osteoporos. Int. 25, 2359–2381 (2014)PubMedPubMedCentralCrossRef F. Cosman, S.J. de Beur, M.S. LeBoff, E.M. Lewiecki, B. Tanner, S. Randall, R. Lindsay, Clinician’s guide to prevention and treatment of osteoporosis. Osteoporos. Int. 25, 2359–2381 (2014)PubMedPubMedCentralCrossRef
8.
Zurück zum Zitat L. Cui, M. Jackson, Z. Wessler, M. Gitlin, W. Xia, Estimating the future clinical and economic benefits of improving osteoporosis diagnosis and treatment among women in China: a simulation projection model from 2020 to 2040. Arch. Osteoporos. 16, 118 (2021)PubMedCrossRef L. Cui, M. Jackson, Z. Wessler, M. Gitlin, W. Xia, Estimating the future clinical and economic benefits of improving osteoporosis diagnosis and treatment among women in China: a simulation projection model from 2020 to 2040. Arch. Osteoporos. 16, 118 (2021)PubMedCrossRef
9.
Zurück zum Zitat A.L. Golob, M.B. Laya, Osteoporosis: screening, prevention, and management. Med. Clin. North Am. 99, 587–606 (2015)PubMedCrossRef A.L. Golob, M.B. Laya, Osteoporosis: screening, prevention, and management. Med. Clin. North Am. 99, 587–606 (2015)PubMedCrossRef
10.
Zurück zum Zitat C.B. Johnston, M. Dagar, Osteoporosis in older adults. Med. Clin. North Am. 104, 873–884 (2020)PubMedCrossRef C.B. Johnston, M. Dagar, Osteoporosis in older adults. Med. Clin. North Am. 104, 873–884 (2020)PubMedCrossRef
11.
Zurück zum Zitat L.K. Koh, W.B. Sedrine, T.P. Torralba, A. Kung, S. Fujiwara, S.P. Chan, Q.R. Huang, R. Rajatanavin, K.S. Tsai, H.M. Park, J.Y. Reginster, A simple tool to identify asian women at increased risk of osteoporosis. Osteoporos. Int. 12, 699–705 (2001)PubMedCrossRef L.K. Koh, W.B. Sedrine, T.P. Torralba, A. Kung, S. Fujiwara, S.P. Chan, Q.R. Huang, R. Rajatanavin, K.S. Tsai, H.M. Park, J.Y. Reginster, A simple tool to identify asian women at increased risk of osteoporosis. Osteoporos. Int. 12, 699–705 (2001)PubMedCrossRef
12.
Zurück zum Zitat E. Lydick, K. Cook, J. Turpin, M. Melton, R. Stine, C. Byrnes, Development and validation of a simple questionnaire to facilitate identification of women likely to have low bone density. Am. J. Manag. Care 4, 37–48 (1998)PubMed E. Lydick, K. Cook, J. Turpin, M. Melton, R. Stine, C. Byrnes, Development and validation of a simple questionnaire to facilitate identification of women likely to have low bone density. Am. J. Manag. Care 4, 37–48 (1998)PubMed
13.
Zurück zum Zitat S.M. Cadarette, W.J. McIsaac, G.A. Hawker, L. Jaakkimainen, A. Culbert, G. Zarifa, E. Ola, S.B. Jaglal, The validity of decision rules for selecting women with primary osteoporosis for bone mineral density testing. Osteoporos. Int. 15, 361–366 (2004)PubMedCrossRef S.M. Cadarette, W.J. McIsaac, G.A. Hawker, L. Jaakkimainen, A. Culbert, G. Zarifa, E. Ola, S.B. Jaglal, The validity of decision rules for selecting women with primary osteoporosis for bone mineral density testing. Osteoporos. Int. 15, 361–366 (2004)PubMedCrossRef
14.
Zurück zum Zitat S.M. Cadarette, S.B. Jaglal, T.M. Murray, Validation of the simple calculated osteoporosis risk estimation (SCORE) for patient selection for bone densitometry. Osteoporos. Int. 10, 85–90 (1999)PubMedCrossRef S.M. Cadarette, S.B. Jaglal, T.M. Murray, Validation of the simple calculated osteoporosis risk estimation (SCORE) for patient selection for bone densitometry. Osteoporos. Int. 10, 85–90 (1999)PubMedCrossRef
15.
Zurück zum Zitat C.J. Crandall, J. Larson, M.L. Gourlay, M.G. Donaldson, A. LaCroix, J.A. Cauley, J. Wactawski-Wende, M.L. Gass, J.A. Robbins, N.B. Watts, K.E. Ensrud, Osteoporosis screening in postmenopausal women 50 to 64 years old: comparison of US Preventive Services Task Force strategy and two traditional strategies in the Women’s Health Initiative. J. Bone Miner. Res. 29, 1661–1666 (2014)PubMedCrossRef C.J. Crandall, J. Larson, M.L. Gourlay, M.G. Donaldson, A. LaCroix, J.A. Cauley, J. Wactawski-Wende, M.L. Gass, J.A. Robbins, N.B. Watts, K.E. Ensrud, Osteoporosis screening in postmenopausal women 50 to 64 years old: comparison of US Preventive Services Task Force strategy and two traditional strategies in the Women’s Health Initiative. J. Bone Miner. Res. 29, 1661–1666 (2014)PubMedCrossRef
16.
Zurück zum Zitat M.L. Gourlay, J.M. Powers, L.Y. Lui, K.E. Ensrud, Clinical performance of osteoporosis risk assessment tools in women aged 67 years and older. Osteoporos. Int. 19, 1175–1183 (2008)PubMedPubMedCentralCrossRef M.L. Gourlay, J.M. Powers, L.Y. Lui, K.E. Ensrud, Clinical performance of osteoporosis risk assessment tools in women aged 67 years and older. Osteoporos. Int. 19, 1175–1183 (2008)PubMedPubMedCentralCrossRef
17.
Zurück zum Zitat S.M. Cadarette, S.B. Jaglal, T.M. Murray, W.J. McIsaac, L. Joseph, J.P. Brown, Evaluation of decision rules for referring women for bone densitometry by dual-energy x-ray absorptiometry. JAMA 286, 57–63 (2001)PubMedCrossRef S.M. Cadarette, S.B. Jaglal, T.M. Murray, W.J. McIsaac, L. Joseph, J.P. Brown, Evaluation of decision rules for referring women for bone densitometry by dual-energy x-ray absorptiometry. JAMA 286, 57–63 (2001)PubMedCrossRef
18.
Zurück zum Zitat R. Zhou, H. Zheng, M. Liu, Z. Liu, C. Guo, H. Tian, F. Liu, Y. Liu, Y. Pan, H. Chen et al. Development and validation of a questionnaire-based risk scoring system to identify individuals at high risk for gastric cancer in Chinese populations. Chin. J. Cancer Res. 33, 649–658 (2021)PubMedPubMedCentralCrossRef R. Zhou, H. Zheng, M. Liu, Z. Liu, C. Guo, H. Tian, F. Liu, Y. Liu, Y. Pan, H. Chen et al. Development and validation of a questionnaire-based risk scoring system to identify individuals at high risk for gastric cancer in Chinese populations. Chin. J. Cancer Res. 33, 649–658 (2021)PubMedPubMedCentralCrossRef
19.
Zurück zum Zitat Y. Wu, B. Levis, K.E. Riehm, N. Saadat, A.W. Levis, M. Azar, D.B. Rice, J. Boruff, P. Cuijpers, S. Gilbody et al. Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis. Psychol. Med. 50, 1368–1380 (2020)PubMedCrossRef Y. Wu, B. Levis, K.E. Riehm, N. Saadat, A.W. Levis, M. Azar, D.B. Rice, J. Boruff, P. Cuijpers, S. Gilbody et al. Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis. Psychol. Med. 50, 1368–1380 (2020)PubMedCrossRef
20.
Zurück zum Zitat M. Nagappa, P. Liao, J. Wong, D. Auckley, S.K. Ramachandran, S. Memtsoudis, B. Mokhlesi, F. Chung, Validation of the STOP-Bang Questionnaire as a screening tool for obstructive sleep apnea among different populations: a systematic review and meta-analysis. PLoS ONE 10, e0143697 (2015)PubMedPubMedCentralCrossRef M. Nagappa, P. Liao, J. Wong, D. Auckley, S.K. Ramachandran, S. Memtsoudis, B. Mokhlesi, F. Chung, Validation of the STOP-Bang Questionnaire as a screening tool for obstructive sleep apnea among different populations: a systematic review and meta-analysis. PLoS ONE 10, e0143697 (2015)PubMedPubMedCentralCrossRef
21.
Zurück zum Zitat M. Frountzas, K. Stergios, D. Kopsini, D. Schizas, K. Kontzoglou, K. Toutouzas, Alvarado or RIPASA score for diagnosis of acute appendicitis? A meta-analysis of randomized trials. Int. J. Surg. 56, 307–314 (2018)PubMedCrossRef M. Frountzas, K. Stergios, D. Kopsini, D. Schizas, K. Kontzoglou, K. Toutouzas, Alvarado or RIPASA score for diagnosis of acute appendicitis? A meta-analysis of randomized trials. Int. J. Surg. 56, 307–314 (2018)PubMedCrossRef
22.
Zurück zum Zitat T.K. Malmstrom, J.E. Morley, SARC-F: a simple questionnaire to rapidly diagnose sarcopenia. J. Am. Med. Dir. Assoc. 14, 531–532 (2013)PubMedCrossRef T.K. Malmstrom, J.E. Morley, SARC-F: a simple questionnaire to rapidly diagnose sarcopenia. J. Am. Med. Dir. Assoc. 14, 531–532 (2013)PubMedCrossRef
23.
Zurück zum Zitat T.K. Malmstrom, D.K. Miller, E.M. Simonsick, L. Ferrucci, J.E. Morley, SARC-F: a symptom score to predict persons with sarcopenia at risk for poor functional outcomes. J. Cachexia Sarcopenia Muscle 7, 28–36 (2016)PubMedCrossRef T.K. Malmstrom, D.K. Miller, E.M. Simonsick, L. Ferrucci, J.E. Morley, SARC-F: a symptom score to predict persons with sarcopenia at risk for poor functional outcomes. J. Cachexia Sarcopenia Muscle 7, 28–36 (2016)PubMedCrossRef
24.
Zurück zum Zitat S. Ida, R. Kaneko, K. Murata, SARC-F for screening of sarcopenia among older adults: a meta-analysis of screening test accuracy. J. Am. Med. Dir. Assoc. 19, 685–689 (2018)PubMedCrossRef S. Ida, R. Kaneko, K. Murata, SARC-F for screening of sarcopenia among older adults: a meta-analysis of screening test accuracy. J. Am. Med. Dir. Assoc. 19, 685–689 (2018)PubMedCrossRef
25.
Zurück zum Zitat D. Hou, B. Yang, Y. Li, M. Sun, Utility of scoring system for screening and early warning of cervical cancer based on big data analysis. Front. Public Health 10, 920956 (2022)PubMedPubMedCentralCrossRef D. Hou, B. Yang, Y. Li, M. Sun, Utility of scoring system for screening and early warning of cervical cancer based on big data analysis. Front. Public Health 10, 920956 (2022)PubMedPubMedCentralCrossRef
26.
Zurück zum Zitat R. Sagami, H. Nishikiori, K. Anami, S. Fujiwara, K. Honda, S. Ikuyama, M. Kitano, K. Murakami, Utility of endoscopic ultrasonography screening for small pancreatic cancer and proposal for a new scoring system for screening. Pancreas 47, 257–264 (2018)PubMedCrossRef R. Sagami, H. Nishikiori, K. Anami, S. Fujiwara, K. Honda, S. Ikuyama, M. Kitano, K. Murakami, Utility of endoscopic ultrasonography screening for small pancreatic cancer and proposal for a new scoring system for screening. Pancreas 47, 257–264 (2018)PubMedCrossRef
27.
Zurück zum Zitat S. Tao, M. Hoffmeister, H. Brenner, Development and validation of a scoring system to identify individuals at high risk for advanced colorectal neoplasms who should undergo colonoscopy screening. Clin. Gastroenterol. Hepatol. 12, 478–485 (2014)PubMedCrossRef S. Tao, M. Hoffmeister, H. Brenner, Development and validation of a scoring system to identify individuals at high risk for advanced colorectal neoplasms who should undergo colonoscopy screening. Clin. Gastroenterol. Hepatol. 12, 478–485 (2014)PubMedCrossRef
30.
Zurück zum Zitat A.C. Looker, L.G. Borrud, J.P. Hughes, B. Fan, J.A. Shepherd, L.J. Melton 3rd, Lumbar spine and proximal femur bone mineral density, bone mineral content, and bone area: United States, 2005-2008. Vital Health Stat. 11, 1–132 (2012) A.C. Looker, L.G. Borrud, J.P. Hughes, B. Fan, J.A. Shepherd, L.J. Melton 3rd, Lumbar spine and proximal femur bone mineral density, bone mineral content, and bone area: United States, 2005-2008. Vital Health Stat. 11, 1–132 (2012)
31.
Zurück zum Zitat A.C. Looker, E.S. Orwoll, C.C. Johnston Jr, R.L. Lindsay, H.W. Wahner, W.L. Dunn, M.S. Calvo, T.B. Harris, S.P. Heyse, Prevalence of low femoral bone density in older U.S. adults from NHANES III. J. Bone Miner. Res. 12, 1761–1768 (1997)PubMedCrossRef A.C. Looker, E.S. Orwoll, C.C. Johnston Jr, R.L. Lindsay, H.W. Wahner, W.L. Dunn, M.S. Calvo, T.B. Harris, S.P. Heyse, Prevalence of low femoral bone density in older U.S. adults from NHANES III. J. Bone Miner. Res. 12, 1761–1768 (1997)PubMedCrossRef
32.
Zurück zum Zitat L.M. Sullivan, J.M. Massaro, R.B. D’Agostino Sr, Presentation of multivariate data for clinical use: the Framingham Study risk score functions. Stat. Med. 23, 1631–1660 (2004)PubMedCrossRef L.M. Sullivan, J.M. Massaro, R.B. D’Agostino Sr, Presentation of multivariate data for clinical use: the Framingham Study risk score functions. Stat. Med. 23, 1631–1660 (2004)PubMedCrossRef
33.
Zurück zum Zitat D.L. Li, F. Shen, Y. Yin, J.X. Peng, P.Y. Chen, Weighted Youden index and its two-independent-sample comparison based on weighted sensitivity and specificity. Chin. Med. J. 126, 1150–1154 (2013)PubMed D.L. Li, F. Shen, Y. Yin, J.X. Peng, P.Y. Chen, Weighted Youden index and its two-independent-sample comparison based on weighted sensitivity and specificity. Chin. Med. J. 126, 1150–1154 (2013)PubMed
34.
Zurück zum Zitat J.N. Mandrekar, Receiver operating characteristic curve in diagnostic test assessment. J. Thorac. Oncol. 5, 1315–1316 (2010)PubMedCrossRef J.N. Mandrekar, Receiver operating characteristic curve in diagnostic test assessment. J. Thorac. Oncol. 5, 1315–1316 (2010)PubMedCrossRef
35.
Zurück zum Zitat C.J. Crandall, Risk assessment tools for osteoporosis screening in postmenopausal women: a systematic review. Curr. Osteoporos. Rep. 13, 287–301 (2015)PubMedCrossRef C.J. Crandall, Risk assessment tools for osteoporosis screening in postmenopausal women: a systematic review. Curr. Osteoporos. Rep. 13, 287–301 (2015)PubMedCrossRef
36.
Zurück zum Zitat H. Mumtaz, M. Dallas, M. Begonia, N. Lara-Castillo, J.M. Scott, M.L. Johnson, T. Ganesh, Age-related and sex-specific effects on architectural properties and biomechanical response of the C57BL/6N mouse femur, tibia and ulna. Bone Rep. 12, 100266 (2020)PubMedPubMedCentralCrossRef H. Mumtaz, M. Dallas, M. Begonia, N. Lara-Castillo, J.M. Scott, M.L. Johnson, T. Ganesh, Age-related and sex-specific effects on architectural properties and biomechanical response of the C57BL/6N mouse femur, tibia and ulna. Bone Rep. 12, 100266 (2020)PubMedPubMedCentralCrossRef
37.
Zurück zum Zitat K. Sakaida, K. Omori, M. Nakayama, H. Mandai, S. Nakagawa, H. Sako, C. Kamei, S. Yamamoto, H. Kobayashi, S. Ishii et al. The fungal metabolite (+)-terrein abrogates ovariectomy-induced bone loss and receptor activator of nuclear factor-κB ligand-induced osteoclastogenesis by suppressing protein kinase-C α/βII phosphorylation. Front. Pharmacol. 12, 674366 (2021)PubMedPubMedCentralCrossRef K. Sakaida, K. Omori, M. Nakayama, H. Mandai, S. Nakagawa, H. Sako, C. Kamei, S. Yamamoto, H. Kobayashi, S. Ishii et al. The fungal metabolite (+)-terrein abrogates ovariectomy-induced bone loss and receptor activator of nuclear factor-κB ligand-induced osteoclastogenesis by suppressing protein kinase-C α/βII phosphorylation. Front. Pharmacol. 12, 674366 (2021)PubMedPubMedCentralCrossRef
38.
Zurück zum Zitat C. Lu, D. Chen, Y. Cai, S. Wei, Concordane of OSTA and lumbar spine BMD by DXA in identifying risk of osteoporosis. J. Orthop. Surg. Res. 1, 14 (2006)PubMedPubMedCentralCrossRef C. Lu, D. Chen, Y. Cai, S. Wei, Concordane of OSTA and lumbar spine BMD by DXA in identifying risk of osteoporosis. J. Orthop. Surg. Res. 1, 14 (2006)PubMedPubMedCentralCrossRef
39.
Zurück zum Zitat S.N. Morin, C. Berger, A. Papaioannou, A.M. Cheung, E. Rahme, W.D. Leslie, D. Goltzman, Race/ethnic differences in the prevalence of osteoporosis, falls and fractures: a cross-sectional analysis of the Canadian Longitudinal Study on Aging. Osteoporos. Int. 33, 2637–2648 (2022)PubMedCrossRef S.N. Morin, C. Berger, A. Papaioannou, A.M. Cheung, E. Rahme, W.D. Leslie, D. Goltzman, Race/ethnic differences in the prevalence of osteoporosis, falls and fractures: a cross-sectional analysis of the Canadian Longitudinal Study on Aging. Osteoporos. Int. 33, 2637–2648 (2022)PubMedCrossRef
40.
Zurück zum Zitat J.L. Kelsey, Risk factors for osteoporosis and associated fractures. Public Health Rep. 104(Suppl), 14–20 (1989)PubMedPubMedCentral J.L. Kelsey, Risk factors for osteoporosis and associated fractures. Public Health Rep. 104(Suppl), 14–20 (1989)PubMedPubMedCentral
41.
Zurück zum Zitat S.E. Noel, M.P. Santos, N.C. Wright, Racial and ethnic disparities in bone health and outcomes in the United States. J. Bone Miner. Res. 36, 1881–1905 (2021)PubMedCrossRef S.E. Noel, M.P. Santos, N.C. Wright, Racial and ethnic disparities in bone health and outcomes in the United States. J. Bone Miner. Res. 36, 1881–1905 (2021)PubMedCrossRef
42.
Zurück zum Zitat Y. Tang, Z. Liu, S. Wang, Q. Yi, Y. Xia, B. Geng, Development and validation of a novel screening tool for osteoporosis in older US adults: the NHANES cross-sectional study. Endocrine 76, 446–456 (2022)PubMedCrossRef Y. Tang, Z. Liu, S. Wang, Q. Yi, Y. Xia, B. Geng, Development and validation of a novel screening tool for osteoporosis in older US adults: the NHANES cross-sectional study. Endocrine 76, 446–456 (2022)PubMedCrossRef
43.
Zurück zum Zitat J. Lin, Y. Yang, X. Zhang, Z. Ma, H. Wu, Y. Li, X. Yang, Q. Fei, A. Guo, BFH-OSTM, a new predictive screening tool for identifying osteoporosis in elderly Han Chinese males. Clin. Interv. Aging 12, 1167–1174 (2017)PubMedPubMedCentralCrossRef J. Lin, Y. Yang, X. Zhang, Z. Ma, H. Wu, Y. Li, X. Yang, Q. Fei, A. Guo, BFH-OSTM, a new predictive screening tool for identifying osteoporosis in elderly Han Chinese males. Clin. Interv. Aging 12, 1167–1174 (2017)PubMedPubMedCentralCrossRef
44.
Zurück zum Zitat Y. Kwon, J. Lee, J.H. Park, Y.M. Kim, S.H. Kim, Y.J. Won, H.Y. Kim, Osteoporosis pre-screening using ensemble machine learning in postmenopausal Korean women. Healthcare 10, 1107 (2022) Y. Kwon, J. Lee, J.H. Park, Y.M. Kim, S.H. Kim, Y.J. Won, H.Y. Kim, Osteoporosis pre-screening using ensemble machine learning in postmenopausal Korean women. Healthcare 10, 1107 (2022)
45.
Zurück zum Zitat S. Nayak, D.L. Edwards, A.A. Saleh, S.L. Greenspan, Systematic review and meta-analysis of the performance of clinical risk assessment instruments for screening for osteoporosis or low bone density. Osteoporos. Int. 26, 1543–1554 (2015)PubMedPubMedCentralCrossRef S. Nayak, D.L. Edwards, A.A. Saleh, S.L. Greenspan, Systematic review and meta-analysis of the performance of clinical risk assessment instruments for screening for osteoporosis or low bone density. Osteoporos. Int. 26, 1543–1554 (2015)PubMedPubMedCentralCrossRef
46.
Zurück zum Zitat H.W. Park, H. Jung, K.Y. Back, H.J. Choi, K.S. Ryu, H.S. Cha, E.K. Lee, A.R. Hong, Y. Hwangbo, Application of machine learning to identify clinically meaningful risk group for osteoporosis in individuals under the recommended age for dual-energy X-ray absorptiometry. Calcif. Tissue Int. 109, 645–655 (2021)PubMedCrossRef H.W. Park, H. Jung, K.Y. Back, H.J. Choi, K.S. Ryu, H.S. Cha, E.K. Lee, A.R. Hong, Y. Hwangbo, Application of machine learning to identify clinically meaningful risk group for osteoporosis in individuals under the recommended age for dual-energy X-ray absorptiometry. Calcif. Tissue Int. 109, 645–655 (2021)PubMedCrossRef
47.
Zurück zum Zitat A.S. Cruz, H.C. Lins, R.V.A. Medeiros, J.M.F. Filho, S.G. da Silva, Artificial intelligence on the identification of risk groups for osteoporosis, a general review. Biomed. Eng. Online 17, 12 (2018)PubMedPubMedCentralCrossRef A.S. Cruz, H.C. Lins, R.V.A. Medeiros, J.M.F. Filho, S.G. da Silva, Artificial intelligence on the identification of risk groups for osteoporosis, a general review. Biomed. Eng. Online 17, 12 (2018)PubMedPubMedCentralCrossRef
Metadaten
Titel
A novel primary osteoporosis screening tool (POST) for adults aged 50 years and over
verfasst von
Yuchen Tang
Jinmin Liu
Cong Tian
Zhiwei Feng
Xiaohui Zhang
Yayi Xia
Bin Geng
Publikationsdatum
14.07.2023
Verlag
Springer US
Erschienen in
Endocrine / Ausgabe 1/2023
Print ISSN: 1355-008X
Elektronische ISSN: 1559-0100
DOI
https://doi.org/10.1007/s12020-023-03442-3

Weitere Artikel der Ausgabe 1/2023

Endocrine 1/2023 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Erhebliches Risiko für Kehlkopfkrebs bei mäßiger Dysplasie

29.05.2024 Larynxkarzinom Nachrichten

Fast ein Viertel der Personen mit mäßig dysplastischen Stimmlippenläsionen entwickelt einen Kehlkopftumor. Solche Personen benötigen daher eine besonders enge ärztliche Überwachung.

Nach Herzinfarkt mit Typ-1-Diabetes schlechtere Karten als mit Typ 2?

29.05.2024 Herzinfarkt Nachrichten

Bei Menschen mit Typ-2-Diabetes sind die Chancen, einen Myokardinfarkt zu überleben, in den letzten 15 Jahren deutlich gestiegen – nicht jedoch bei Betroffenen mit Typ 1.

15% bedauern gewählte Blasenkrebs-Therapie

29.05.2024 Urothelkarzinom Nachrichten

Ob Patienten und Patientinnen mit neu diagnostiziertem Blasenkrebs ein Jahr später Bedauern über die Therapieentscheidung empfinden, wird einer Studie aus England zufolge von der Radikalität und dem Erfolg des Eingriffs beeinflusst.

Costims – das nächste heiße Ding in der Krebstherapie?

28.05.2024 Onkologische Immuntherapie Nachrichten

„Kalte“ Tumoren werden heiß – CD28-kostimulatorische Antikörper sollen dies ermöglichen. Am besten könnten diese in Kombination mit BiTEs und Checkpointhemmern wirken. Erste klinische Studien laufen bereits.

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.