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Development and validation of osteoporosis prescreening model for Iranian postmenopausal women
BACKGROUND: Studies have indicated that the commonly used osteoporosis prescreening tools are not appropriate for use in every nation. This study was designed to develop and validate a prescreening model for bone mineral densitometry among Iranian postmenopausal women. METHODS: From 13613 individual...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376506/ https://www.ncbi.nlm.nih.gov/pubmed/25821747 http://dx.doi.org/10.1186/s40200-015-0140-7 |
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author | Matin, Nassim Tabatabaie, Omidreza Keshtkar, Abbasali Yazdani, Kamran Asadi, Mojgan |
author_facet | Matin, Nassim Tabatabaie, Omidreza Keshtkar, Abbasali Yazdani, Kamran Asadi, Mojgan |
author_sort | Matin, Nassim |
collection | PubMed |
description | BACKGROUND: Studies have indicated that the commonly used osteoporosis prescreening tools are not appropriate for use in every nation. This study was designed to develop and validate a prescreening model for bone mineral densitometry among Iranian postmenopausal women. METHODS: From 13613 individuals who were referred for bone mineral densitometry in Shariati hospital in Tehran, 8644 postmenopausal women were considered for the study after excluding men and premenopausal women. Questionnaires regarding the risk factors for osteoporosis were filled for each individual. Bone mineral density at the lumbar vertebrae (L2-L4), femoral neck and total femur was measured by dual X-ray absorptiometry. Using holdout validation, the study sample was divided into two parts; training set (5705) and test set (2939). Logistic regression analysis was performed on the training set. A scoring model was developed and tested in the test set. RESULTS: Based on the training set, a seven-variable model named OPMIP (Osteoporosis Prescreening Model for Iranian Postmenopausal women) was developed with C statistics (area under curve) of 0.72. Using a cut-off of -2.5 for the model, the sensitivity, specificity, positive predictive value and negative predictive value were 72%, 59.5%, 64% and 69% respectively. The model performance was tested in the test set. OPMIP correctly classified 67.10% of cases with a sensitivity and specificity of 73.2% and 61%. CONCLUSIONS: In order to appropriately refer patients for a bone mineral densitometry, OPMIP can be used as a prescreening tool in Iranian Postmenopausal women. |
format | Online Article Text |
id | pubmed-4376506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43765062015-03-28 Development and validation of osteoporosis prescreening model for Iranian postmenopausal women Matin, Nassim Tabatabaie, Omidreza Keshtkar, Abbasali Yazdani, Kamran Asadi, Mojgan J Diabetes Metab Disord Research Article BACKGROUND: Studies have indicated that the commonly used osteoporosis prescreening tools are not appropriate for use in every nation. This study was designed to develop and validate a prescreening model for bone mineral densitometry among Iranian postmenopausal women. METHODS: From 13613 individuals who were referred for bone mineral densitometry in Shariati hospital in Tehran, 8644 postmenopausal women were considered for the study after excluding men and premenopausal women. Questionnaires regarding the risk factors for osteoporosis were filled for each individual. Bone mineral density at the lumbar vertebrae (L2-L4), femoral neck and total femur was measured by dual X-ray absorptiometry. Using holdout validation, the study sample was divided into two parts; training set (5705) and test set (2939). Logistic regression analysis was performed on the training set. A scoring model was developed and tested in the test set. RESULTS: Based on the training set, a seven-variable model named OPMIP (Osteoporosis Prescreening Model for Iranian Postmenopausal women) was developed with C statistics (area under curve) of 0.72. Using a cut-off of -2.5 for the model, the sensitivity, specificity, positive predictive value and negative predictive value were 72%, 59.5%, 64% and 69% respectively. The model performance was tested in the test set. OPMIP correctly classified 67.10% of cases with a sensitivity and specificity of 73.2% and 61%. CONCLUSIONS: In order to appropriately refer patients for a bone mineral densitometry, OPMIP can be used as a prescreening tool in Iranian Postmenopausal women. BioMed Central 2015-03-17 /pmc/articles/PMC4376506/ /pubmed/25821747 http://dx.doi.org/10.1186/s40200-015-0140-7 Text en © Matin et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Matin, Nassim Tabatabaie, Omidreza Keshtkar, Abbasali Yazdani, Kamran Asadi, Mojgan Development and validation of osteoporosis prescreening model for Iranian postmenopausal women |
title | Development and validation of osteoporosis prescreening model for Iranian postmenopausal women |
title_full | Development and validation of osteoporosis prescreening model for Iranian postmenopausal women |
title_fullStr | Development and validation of osteoporosis prescreening model for Iranian postmenopausal women |
title_full_unstemmed | Development and validation of osteoporosis prescreening model for Iranian postmenopausal women |
title_short | Development and validation of osteoporosis prescreening model for Iranian postmenopausal women |
title_sort | development and validation of osteoporosis prescreening model for iranian postmenopausal women |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376506/ https://www.ncbi.nlm.nih.gov/pubmed/25821747 http://dx.doi.org/10.1186/s40200-015-0140-7 |
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