Diabetes Care：NT-proBNP和hsTnT能否预测糖尿病患者微血管事件？（ADVANCE亚组研究）-MedSci.cn

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2015-04-11 x35042875

国真实妊娠糖尿病患病率应该在这两种方案得到的患病率之间

197 0

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2015-01-13 hukaixun

#血管事件#

75 0

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2015-04-14 12498ca5m83暂无昵称

#hsTnT#

65 0

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2015-01-25 木头人513

#Diabetes#

97 0

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2015-05-06 ms9608593228839890

#DIA#

100 0

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2014-09-25 智智灵药

#BET#

54 0

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style='color:#2F92EE;'>#NT-proBNP#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=101, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13111, encryptionId=f6e513111bc, topicName=NT-proBNP)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5662228, createdName=mjldent, createdTime=Sun Jun 08 01:38:00 CST 2014, time=2014-06-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1365287, encodeId=b742136528ecd, content=<a href='/topic/show?id=2a2150e76fd' target=_blank style='color:#2F92EE;'>#微血管#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=69, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=50776, encryptionId=2a2150e76fd, topicName=微血管)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=669d219, createdName=mgqwxj, createdTime=Sun Jun 08 01:38:00 CST 2014, time=2014-06-08, status=1, ipAttribution=), 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2014-06-08 huiwelcome

#BNP#

109 0

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style='color:#2F92EE;'>#NT-proBNP#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=101, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13111, encryptionId=f6e513111bc, topicName=NT-proBNP)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5662228, createdName=mjldent, createdTime=Sun Jun 08 01:38:00 CST 2014, time=2014-06-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1365287, encodeId=b742136528ecd, content=<a href='/topic/show?id=2a2150e76fd' target=_blank style='color:#2F92EE;'>#微血管#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=69, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=50776, encryptionId=2a2150e76fd, topicName=微血管)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=669d219, createdName=mgqwxj, createdTime=Sun Jun 08 01:38:00 CST 2014, time=2014-06-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1473803, encodeId=53c014e380333, content=<a href='/topic/show?id=935fe6718e3' target=_blank style='color:#2F92EE;'>#糖尿病患者#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=76718, encryptionId=935fe6718e3, topicName=糖尿病患者)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=a38f7243741, createdName=xue8604, createdTime=Sun Jun 08 01:38:00 CST 2014, time=2014-06-08, status=1, ipAttribution=)]

2014-06-08 mjldent

#NT-proBNP#

101 0

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2014-06-08 mgqwxj

#微血管#

69 0

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style='color:#2F92EE;'>#NT-proBNP#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=101, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13111, encryptionId=f6e513111bc, topicName=NT-proBNP)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=5662228, createdName=mjldent, createdTime=Sun Jun 08 01:38:00 CST 2014, time=2014-06-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1365287, encodeId=b742136528ecd, content=<a href='/topic/show?id=2a2150e76fd' target=_blank style='color:#2F92EE;'>#微血管#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=69, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=50776, encryptionId=2a2150e76fd, topicName=微血管)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=669d219, createdName=mgqwxj, createdTime=Sun Jun 08 01:38:00 CST 2014, time=2014-06-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1473803, encodeId=53c014e380333, content=<a href='/topic/show?id=935fe6718e3' target=_blank style='color:#2F92EE;'>#糖尿病患者#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=76718, encryptionId=935fe6718e3, topicName=糖尿病患者)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=a38f7243741, createdName=xue8604, createdTime=Sun Jun 08 01:38:00 CST 2014, time=2014-06-08, status=1, ipAttribution=)]

2014-06-08 xue8604

#糖尿病患者#

78 0

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Diabetes Care：NT-proBNP和hsTnT能否预测糖尿病患者微血管事件？（ADVANCE亚组研究）

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