<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Buckley, Rita</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Wareham, Nick</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">The Challenges of Predicting Risk: Diabetes and Cardiovascular Disease</style></title><secondary-title><style face="normal" font="default" size="100%">MD Conference Express</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012-10-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">4-5</style></pages><abstract><style  face="normal" font="default" size="100%">Pandemic diabetes and cardiovascular disease have created an imperative to develop risk-prediction models for early identification of patients with undiagnosed type 2 diabetes or those at risk of developing the disease [Collins GS et al. BMC Medicine 2011]. This article discusses the current status of risk-assessment tools.</style></abstract><number><style face="normal" font="default" size="100%">11</style></number><volume><style face="normal" font="default" size="100%">12</style></volume></record></records></xml>