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Development and validation of osteoporosis prescreening model for Iranian postmenopausal women.

Matin N, Tabatabaie O, Keshtkar A, Yazdani K, Asadi M - J Diabetes Metab Disord (2015)

Bottom Line: 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%.

View Article: PubMed Central - PubMed

Affiliation: School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

ABSTRACT

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.

No MeSH data available.


Related in: MedlinePlus

The study population and how it got divided for analysis.
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Fig1: The study population and how it got divided for analysis.

Mentions: After excluding men and premenopausal women, 8644 post-menopausal women were eligible for this study. “True validation” or “holdout validation” was used to evaluate the model. Using random sampling, the study sample was divided into two parts; 66%, equal to 5705 of the cases, called learning sample or training set, which were allocated to the development of the model as in true validation, and 33%; one third of the dataset, named test sample or test set (comprising 2939 individuals) allocated to validation of the model. This method is called the holdout method, the simplest cross validation [20]. A clear view is shown in Figure 1.Figure 1


Development and validation of osteoporosis prescreening model for Iranian postmenopausal women.

Matin N, Tabatabaie O, Keshtkar A, Yazdani K, Asadi M - J Diabetes Metab Disord (2015)

The study population and how it got divided for analysis.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4376506&req=5

Fig1: The study population and how it got divided for analysis.
Mentions: After excluding men and premenopausal women, 8644 post-menopausal women were eligible for this study. “True validation” or “holdout validation” was used to evaluate the model. Using random sampling, the study sample was divided into two parts; 66%, equal to 5705 of the cases, called learning sample or training set, which were allocated to the development of the model as in true validation, and 33%; one third of the dataset, named test sample or test set (comprising 2939 individuals) allocated to validation of the model. This method is called the holdout method, the simplest cross validation [20]. A clear view is shown in Figure 1.Figure 1

Bottom Line: 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%.

View Article: PubMed Central - PubMed

Affiliation: School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

ABSTRACT

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.

No MeSH data available.


Related in: MedlinePlus