DVTmodels: Risk prediction models for diagnosing Deep Venous Thrombosis...
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DVTmodels R Documentation
Risk prediction models for diagnosing Deep Venous Thrombosis (DVT)
Description
Previously published prediction models for predicting the presence of DVT.
Usage
data(DVTmodels)
Format
An object of the class litmodels with the following information for each literature model: the study-level descriptives ("descriptives"), the regression coefficient or weight for each predictor ("weights") and the error variance for each regression coefficient or weight ("weights.var").
Details
Previously, several models (Gagne, Oudega) and score charts (Wells, modified Wells, and Hamilton) have been published for evaluating the presence of DVT in suspected patients. These models combine information on mulitple predictors into a weighted sum, that can subsequently be used to obtain estimates of absolute risk. See DVTipd for more information on the predictors.
Source
Wells PS, Anderson DR, Bormanis J, Guy F, Mitchell M, Gray L, Clement C, Robinson KS, Lewandowski B. Value of assessment of pretest probability of deep-vein thrombosis in clinical management. Lancet 1997; 350(9094):1795–1798. DOI: 10.1016/S0140-6736(97)08140-3.
Wells PS, Anderson DR, Rodger M, Forgie M, Kearon C, Dreyer J, Kovacs G, Mitchell M, Lewandowski B, Kovacs MJ. Evaluation of D-dimer in the diagnosis of suspected deep-vein thrombosis. The New England Journal of Medicine 2003; 349(13):1227–1235. DOI: 10.1056/NEJMoa023153.
Gagne P, Simon L, Le Pape F, Bressollette L, Mottier D, Le Gal G. Clinical prediction rule for diagnosing deep vein thrombosis in primary care. La Presse Medicale 2009; 38(4):525–533. DOI: 10.1016/j.lpm.2008.09.022.
Subramaniam RM, Snyder B, Heath R, Tawse F, Sleigh J. Diagnosis of lower limb deep venous thrombosis in emergency department patients: performance of Hamilton and modified Wells scores. Annals of Emergency Medicine 2006; 48(6):678–685. DOI: 10.1016/j.annemergmed.2006.04.010.
Oudega R, Moons KGM, Hoes AW. Ruling out deep venous thrombosis in primary care. a simple diagnostic algorithm including D-dimer testing. Thrombosis and Haemostasis 2005; 94(1):200–205. DOI: 10.1160/TH04-12-0829.
References
Debray TPA, Koffijberg H, Nieboer D, Vergouwe Y, Steyerberg EW, Moons KGM. Meta-analysis and aggregation of multiple published prediction models. Stat Med. 2014 Jun 30;33(14):2341–62.
Debray TPA, Koffijberg H, Vergouwe Y, Moons KGM, Steyerberg EW. Aggregating published prediction models with individual participant data: a comparison of different approaches. Stat Med. 2012 Oct 15;31(23):2697–712.
See Also
DVTipd
Examples
data(DVTmodels)
metamisc documentation built on Sept. 25, 2022, 5:05 p.m.
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| DVTmodels | R Documentation |
Risk prediction models for diagnosing Deep Venous Thrombosis (DVT)
Description
Previously published prediction models for predicting the presence of DVT.
Usage
data(DVTmodels)
Format
An object of the class litmodels with the following information for each literature model: the study-level descriptives ("descriptives"), the regression coefficient or weight for each predictor ("weights") and the error variance for each regression coefficient or weight ("weights.var").
Details
Previously, several models (Gagne, Oudega) and score charts (Wells, modified Wells, and Hamilton) have been published for evaluating the presence of DVT in suspected patients. These models combine information on mulitple predictors into a weighted sum, that can subsequently be used to obtain estimates of absolute risk. See DVTipd for more information on the predictors.
Source
Wells PS, Anderson DR, Bormanis J, Guy F, Mitchell M, Gray L, Clement C, Robinson KS, Lewandowski B. Value of assessment of pretest probability of deep-vein thrombosis in clinical management. Lancet 1997; 350(9094):1795–1798. DOI: 10.1016/S0140-6736(97)08140-3.
Wells PS, Anderson DR, Rodger M, Forgie M, Kearon C, Dreyer J, Kovacs G, Mitchell M, Lewandowski B, Kovacs MJ. Evaluation of D-dimer in the diagnosis of suspected deep-vein thrombosis. The New England Journal of Medicine 2003; 349(13):1227–1235. DOI: 10.1056/NEJMoa023153.
Gagne P, Simon L, Le Pape F, Bressollette L, Mottier D, Le Gal G. Clinical prediction rule for diagnosing deep vein thrombosis in primary care. La Presse Medicale 2009; 38(4):525–533. DOI: 10.1016/j.lpm.2008.09.022.
Subramaniam RM, Snyder B, Heath R, Tawse F, Sleigh J. Diagnosis of lower limb deep venous thrombosis in emergency department patients: performance of Hamilton and modified Wells scores. Annals of Emergency Medicine 2006; 48(6):678–685. DOI: 10.1016/j.annemergmed.2006.04.010.
Oudega R, Moons KGM, Hoes AW. Ruling out deep venous thrombosis in primary care. a simple diagnostic algorithm including D-dimer testing. Thrombosis and Haemostasis 2005; 94(1):200–205. DOI: 10.1160/TH04-12-0829.
References
Debray TPA, Koffijberg H, Nieboer D, Vergouwe Y, Steyerberg EW, Moons KGM. Meta-analysis and aggregation of multiple published prediction models. Stat Med. 2014 Jun 30;33(14):2341–62.
Debray TPA, Koffijberg H, Vergouwe Y, Moons KGM, Steyerberg EW. Aggregating published prediction models with individual participant data: a comparison of different approaches. Stat Med. 2012 Oct 15;31(23):2697–712.
See Also
DVTipd
Examples
data(DVTmodels)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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