<?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%">Vinall, Maria</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Gerstein, Hertzel C.</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Large Outcomes Trials are Crucial for Understanding Diabetes</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%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014-10-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">6-7</style></pages><abstract><style  face="normal" font="default" size="100%">Large outcomes trials are crucial to the understanding of how best to treat patients with diabetes, and the results from meta-analyses, administrative databases, and epidemiologic data from small trials are no replacement. While the data from these trials are useful in that they can be used to identify risk factors, the relationship between risk factors and outcomes is not always clear.</style></abstract><number><style face="normal" font="default" size="100%">20</style></number><volume><style face="normal" font="default" size="100%">14</style></volume></record></records></xml>