scholarly journals Development and Internal Validation of the Male Osteoporosis Risk Estimation Score

2007 ◽  
Vol 5 (6) ◽  
pp. 540-546 ◽  
Author(s):  
A. J. Shepherd ◽  
A. R. Cass ◽  
C. A. Carlson ◽  
L. Ray
Keyword(s):  
Risk Estimation ◽  
Male Osteoporosis ◽  
Internal Validation ◽  
Osteoporosis Risk

scholarly journals The Male Osteoporosis Risk Estimation Score and the Osteoporosis Self-Assessment Screening Tool for Indonesian Men

2012 ◽  
Vol 20 (2) ◽  
pp. 205-208 ◽  
Author(s):  
Yuliana Fransiska ◽  
Bambang Tiksnadi ◽  
Rizal Chaidir ◽  
Yoyos Dias Ismiarto
Keyword(s):  
Screening Tool ◽  
Risk Estimation ◽  
Male Osteoporosis ◽  
Self Assessment ◽  
Osteoporosis Risk

scholarly journals Comparison of the Male Osteoporosis Risk Estimation Score (MORES) With FRAX in Identifying Men at Risk for Osteoporosis

2016 ◽  
Vol 14 (4) ◽  
pp. 365-369 ◽  
Author(s):  
A. R. Cass ◽  
A. J. Shepherd ◽  
R. Asirot ◽  
M. Mahajan ◽  
M. Nizami
Keyword(s):  
At Risk ◽  
Risk Estimation ◽  
Male Osteoporosis ◽  
Osteoporosis Risk

Evaluation of the simple calculated osteoporosis risk estimation (SCORE) in a sample of white women from Belgium

Bone ◽  
2001 ◽  
Vol 29 (4) ◽  
pp. 374-380 ◽  
Author(s):  
W Ben sedrine ◽  
J.P Devogelaer ◽  
J.M Kaufman ◽  
S Goemaere ◽  
G Depresseux ◽  
...  
Keyword(s):  
White Women ◽  
Risk Estimation ◽  
Osteoporosis Risk

Evaluation of the Simple Calculated Osteoporosis Risk Estimation (SCORE) in Older Caucasian Women: The Rancho Bernardo Study

1999 ◽  
Vol 10 (1) ◽  
pp. 79-84 ◽  
Author(s):  
D. Von Mühlen ◽  
A. Visby Lunde ◽  
E. Barrett-Connor ◽  
R. Bettencourt
Keyword(s):  
Risk Estimation ◽  
Caucasian Women ◽  
Osteoporosis Risk

scholarly journals Are other feasible options available for screening of risk assessment of osteoporosis in postmenopausal women at community level in Southern Coastal India

2018 ◽  
Vol 6 (1) ◽  
pp. 123
Author(s):  
Gowry Reddy ◽  
Priya Rathi ◽  
Unnikrishnan B. ◽  
Surendra Kamath ◽  
Kalpita Shringapure
Keyword(s):  
Risk Assessment ◽  
Postmenopausal Women ◽  
Assessment Tool ◽  
Risk Estimation ◽  
Assessment Instrument ◽  
Self Assessment ◽  
Risk Assessment Instrument ◽  
The Cost ◽  
Osteoporosis Risk ◽  
Osteoporotic Risk

Background: Osteoporosis is a chronic debilitating condition which exhibits iceberg phenomenon. Identification at an early stage of disease will enable preventive measures to reduce the incidence of disease and complications. Owing to the cost of diagnostic test, this study, various screening tools such as WHO fracture risk assessment tool, osteoporosis self-assessment tool for Asians, simple calculated osteoporosis risk estimation and osteoporosis risk assessment instrument   have been used for assessment, in order to screen postmenopausal women in the preliminary stages.Methods: A facility-based cross-sectional study was conducted among 107 postmenopausal women carried over a period of five months.Results: Prevalence of osteoporosis and osteopenia was 24.3% and 69.2%. The area under the curve for osteoporosis self-assessment tool for Asians (OSTA), simple calculated osteoporotic risk estimation (SCORE) and osteoporotic risk assessment instrument (ORAI) was 0.731, 0.407 and 0.172 respectively. OSTA proved to be effective in differentiating normal BMD from low BMD score (i.e., osteopenia and osteoporosis) with a cut off of 1.1, SCORE to be more effective in screening osteoporosis than the other tools because it had a higher positive probability with a cut off 22.  FRAX tool predicted probability of five and three percent probability of major fracture and hip fracture risk in ten yearsConclusions: Various tools assessed in the studies can be utilized at community level for identifying high risk women in post-menopausal stage but with different cut offs. This will reduce the cost of screening and also facilitate non pharmacological measures to reduce the progression of disease.

Decision Rules for Bone Densitometry Testing

2016 ◽  
Author(s):  
Christoph I. Lee
Keyword(s):  
Bone Densitometry ◽  
Risk Estimation ◽  
Decision Rules ◽  
Assessment Instrument ◽  
X Ray ◽  
Additional Information ◽  
Risk Assessment Instrument ◽  
Risk Patients ◽  
Study Methodology ◽  
Osteoporosis Risk

This chapter, found in the bone, joint, and extremity pain section of the book, provides a succinct synopsis of a key study examining the use of decision rules for bone densitometry testing to mitigate risks for fractures associated with osteoporosis. This summary outlines the study methodology and design, major results, limitations and criticisms, related studies and additional information, and clinical implications. Researchers found that the Osteoporosis Risk Assessment Instrument and Simple Calculated Osteoporosis Risk Estimation decision rules performed the best for targeting dual-energy x-ray absorptiometry testing among high-risk patients. In addition to outlining the most salient features of the study, a clinical vignette and imaging example are included in order to provide relevant clinical context.

scholarly journals Short clinically-based prediction model to forecast transition to psychosis in individuals at clinical high risk state

2019 ◽  
Vol 58 ◽  
pp. 72-79 ◽  
Author(s):  
Magdalena Kotlicka-Antczak ◽  
Michał S. Karbownik ◽  
Konrad Stawiski ◽  
Agnieszka Pawełczyk ◽  
Natalia Żurner ◽  
...  
Keyword(s):  
High Risk ◽  
Prediction Model ◽  
Cox Regression ◽  
Predictive Accuracy ◽  
Risk Estimation ◽  
Clinical High Risk ◽  
Clinical Predictors ◽  
Individual Subject ◽  
Internal Validation ◽  
Replication Studies

AbstractObjective:The predictive accuracy of the Clinical High Risk criteria for Psychosis (CHR-P) regarding the future development of the disorder remains suboptimal. It is therefore necessary to incorporate refined risk estimation tools which can be applied at the individual subject level. The aim of the study was to develop an easy-to use, short refined risk estimation tool to predict the development of psychosis in a new CHR-P cohort recruited in European country with less established early detection services.Methods:A cohort of 105 CHR-P individuals was assessed with the Comprehensive Assessment of At Risk Mental States12/2006, and then followed for a median period of 36 months (25th-75th percentile:10–59 months) for transition to psychosis. A multivariate Cox regression model predicting transition was generated with preselected clinical predictors and was internally validated with 1000 bootstrap resamples.Results:Speech disorganization and unusual thought content were selected as potential predictors of conversion on the basis of published literature. The prediction model was significant (p < 0.0001) and confirmed that both speech disorganization (HR = 1.69; 95%CI: 1.39–2.05) and unusual thought content (HR = 1.51; 95%CI: 1.27–1.80) were significantly associated with transition. The prognostic accuracy of the model was adequate (Harrell’s c- index = 0.79), even after optimism correction through internal validation procedures (Harrell’s c-index = 0.78).Conclusions:The clinical prediction model developed, and internally validated, herein to predict transition from a CHR-P to psychosis may be a promising tool for use in clinical settings. It has been incorporated into an online tool available at:https://link.konsta.com.pl/psychosis. Future external replication studies are needed.

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