Predictive modelling for postoperative acute kidney injury: big data enhancing quality or the Emperor's new clothes?-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Predictive modelling for postoperative acute kidney injury: big data enhancing quality or the Emperor's new clothes?

Published:2024-09 Issue:3 Volume:133 Page:476-478
ISSN:0007-0912
Container-title:British Journal of Anaesthesia
language:en
Short-container-title:British Journal of Anaesthesia

Author:

McIlroy David R.^ORCID

Publisher

Elsevier BV

Reference18 articles.

1. Performance and usability of pre-operative prediction models for 30-day peri-operative mortality risk: a systematic review;Vernooij;Anaesthesia,2023

2. Risk scores to facilitate preoperative prediction of transfusion and large volume blood transfusion associated with adult cardiac surgery;Goudie;Br J Anaesth,2015

3. Risk prediction models in perioperative medicine: methodological considerations;Collins;Curr Anesthesiol Rep,2016

4. Predictive models for kidney disease: improving global outcomes (KDIGO) defined acute kidney injury in UK cardiac surgery;Birnie;Crit Care,2014

5. Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major surgery: qualitative systematic review;Moonesinghe;Anesthesiology,2013

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3