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临床预测模型的网状Meta分析

2021-08-29 网络 网络

Meta分析
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临床预测模型或预后评分近年来应用越来越广泛，它们通过对个体某些特征指标如实验室检验或症状、体征等的利用来估计现在或未来发生某特定事件的风险，为医疗决策提供一定的科学依据。目前，在很多疾病领域针对同一个

网状meta分析应用越来越广，不仅可以用于多种治疗药物或治疗方案间的直接和间接比较，还可以用于其它情况的直接与间接比较，例如疾病风险预测模型的比较。 临床预测模型或预后评分近年来应用越来越广泛，它们通过对个体某些特征指标如实验室检验或症状、体征等的利用来估计现在或未来发生某特定事件的风险，为医疗决策提供一定的科学依据。目前，在很多疾病领域针对同一个研究结局都已发表了为数不少的预测模型或预后评分，但大多数预测模型长期处于“多数被建立，少数被验证，极少被应用”的情况。 以心血管疾病发生的预测模型为例，截止2013年6月已有363个预测模型被建立，其中仅36%的预测模型进行了外部验证；而在进行了外部验证的预测模型中，仅65%和58%的研究分别报告了模型的区分度和校准度，大多数模型都未被临床广泛应用。 一方面是因为大多数预测模型缺乏足够的外部验证，且外部验证研究大多存在研究设计的缺陷或报告不规范，导致模型的外推性不高；另一方面是因为针对同一个研究结局的模型太多且缺乏对不同模型之间预测准确度的比较研究，无法识别各个模型的预测准确度孰优孰劣，从而导致临床的选择困难。 为解决这一问题, Haile等

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    2022-02-25 guojianrong

    #Meta#

    0

  2. 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    2022-02-13 ms3000001414620940

    好棒，学到了

    0

  3. 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    2021-09-10 一闲

    #MET#

    0

  4. 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createdAvatar=https://wx.qlogo.cn/mmopen/jW482SpianMayicTRbRZ5RzZ3b3K46BUtGH47wc7UjY9yEmna8NcoyLXGliaYXItQIbDWDibAo4f4YeyVjsWbktnznTzcHdZkSMA/0, createdBy=faac1983085, createdName=laplacelu, createdTime=Sun Aug 29 11:51:59 CST 2021, time=2021-08-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1012518, encodeId=2405101251879, content=meta分享应用, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210619/148087fd302241c6a159d16364aac1a8/96c48a970bb14f109df8e70d4937212b.jpg, createdBy=acaa4722374, createdName=米汤, createdTime=Sun Aug 29 11:44:14 CST 2021, time=2021-08-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047933, encodeId=3edb104e9331a, content=梅斯里提供了很多疾病的模型计算公式，赞一个！, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sun Aug 29 10:40:46 CST 2021, time=2021-08-29, status=1, ipAttribution=)]
    2021-09-17 ai517338758

    学习了

    0

  5. 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topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sun Aug 29 10:40:46 CST 2021, time=2021-08-29, status=1, ipAttribution=)]
    2021-08-30 维他命

    #预测模型#

    0

  6. 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topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sun Aug 29 10:40:46 CST 2021, time=2021-08-29, status=1, ipAttribution=)]
    2021-08-29 ms6000000895503417

    挺好的

    0

  7. 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topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sun Aug 29 10:40:46 CST 2021, time=2021-08-29, status=1, ipAttribution=)]
    2021-08-29 ms7000001816146116

    不错

    0

  8. 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topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sun Aug 29 10:40:46 CST 2021, time=2021-08-29, status=1, ipAttribution=)]
    2021-08-29 laplacelu

    不错

    0

  9. 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topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sun Aug 29 10:40:46 CST 2021, time=2021-08-29, status=1, ipAttribution=)]
    2021-08-29 米汤

    meta分享应用

    0

  10. 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topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sun Aug 29 10:40:46 CST 2021, time=2021-08-29, status=1, ipAttribution=)]
    2021-08-29 CHANGE

    梅斯里提供了很多疾病的模型计算公式，赞一个！

    0

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