• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Comparing risk prediction models.

作者信息

Collins Gary S, Moons Karel G M

出版信息

BMJ. 2012 May 24;344:e3186. doi: 10.1136/bmj.e3186.

DOI:10.1136/bmj.e3186
PMID:22628131
Abstract
摘要

相似文献

1
Comparing risk prediction models.比较风险预测模型。
BMJ. 2012 May 24;344:e3186. doi: 10.1136/bmj.e3186.
2
Time to compare impact and feasibility of prediction models in real life.是时候比较预测模型在现实生活中的影响和可行性了。
BMJ. 2012 Jul 3;345:e4357; author reply e4360. doi: 10.1136/bmj.e4357.
3
Systematic review did not consider problem of treatment effects.系统评价未考虑治疗效果问题。
BMJ. 2012 Jul 3;345:e4355; author reply e4360. doi: 10.1136/bmj.e4355.
4
Comparisons of established risk prediction models for cardiovascular disease: systematic review.比较已建立的心血管疾病风险预测模型:系统评价。
BMJ. 2012 May 24;344:e3318. doi: 10.1136/bmj.e3318.
5
Dynamic prediction model and risk assessment chart for cardiovascular disease based on on-treatment blood pressure and baseline risk factors.基于治疗中血压和基线风险因素的心血管疾病动态预测模型及风险评估图
Hypertens Res. 2016 Feb;39(2):113-8. doi: 10.1038/hr.2015.120. Epub 2015 Nov 26.
6
Improving prediction of cardiovascular complications of cancer therapy: what does the future hold?改善癌症治疗心血管并发症的预测:未来会怎样?
Future Cardiol. 2015 Jul;11(4):383-7. doi: 10.2217/FCA.15.48. Epub 2015 Aug 4.
7
Cardiovascular risk prediction in HIV-infected patients: comparing the Framingham, atherosclerotic cardiovascular disease risk score (ASCVD), Systematic Coronary Risk Evaluation for the Netherlands (SCORE-NL) and Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) risk prediction models.HIV感染患者的心血管风险预测:比较弗明汉姆、动脉粥样硬化性心血管疾病风险评分(ASCVD)、荷兰系统性冠状动脉风险评估(SCORE-NL)和抗HIV药物不良事件数据收集(D:A:D)风险预测模型。
HIV Med. 2016 Apr;17(4):289-97. doi: 10.1111/hiv.12300. Epub 2015 Aug 12.
8
Biomarkers of cardiovascular risk--matters of prediction and precision.心血管疾病风险生物标志物——预测与精准度问题
Clin Chem Lab Med. 2010 Dec;48(12):1683-4. doi: 10.1515/CCLM.2010.357.
9
Low-cost strategies to predict cardiovascular disease.预测心血管疾病的低成本策略。
Nat Clin Pract Cardiovasc Med. 2008 Sep;5(9):518-9. doi: 10.1038/ncpcardio1294. Epub 2008 Jul 15.
10
[Evolution of ideas on the assessment of cardiovascular risks in the perioperative period].[围手术期心血管风险评估观念的演变]
Ter Arkh. 2014;86(4):96-102.

引用本文的文献

1
Agreement and comparative accuracy of instability criteria at discharge for predicting adverse events in patients with community-acquired pneumonia.出院时不稳定标准的一致性和准确性预测社区获得性肺炎患者不良事件的比较。
BMJ Open Respir Res. 2024 Nov 7;11(1):e002289. doi: 10.1136/bmjresp-2024-002289.
2
Use of Patient-Reported Outcomes in Risk Prediction Model Development to Support Cancer Care Delivery: A Scoping Review.使用患者报告结局在风险预测模型开发中支持癌症护理提供:范围综述。
JCO Clin Cancer Inform. 2024 Nov;8:e2400145. doi: 10.1200/CCI-24-00145. Epub 2024 Nov 1.
3
Safety net hospital risk model demonstrates stronger, population-specific applicability in characterizing lung cancer risk.
安全网医院风险模型在描述肺癌风险方面表现出更强的、针对特定人群的适用性。
Transl Cancer Res. 2024 Apr 30;13(4):1596-1605. doi: 10.21037/tcr-23-2304. Epub 2024 Apr 12.
4
Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review.人工智能在心血管疾病风险预测模型中的应用及独立验证筛选工具的开发:系统评价。
BMC Med. 2024 Feb 5;22(1):56. doi: 10.1186/s12916-024-03273-7.
5
Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery.ADNEX 和 ROMA 风险预测模型在卵巢癌诊断中的比较:一项针对接受手术治疗的患者的多中心外部验证研究。
Br J Cancer. 2024 Apr;130(6):934-940. doi: 10.1038/s41416-024-02578-x. Epub 2024 Jan 19.
6
Hospital length of stay prediction tools for all hospital admissions and general medicine populations: systematic review and meta-analysis.适用于所有住院患者和普通内科人群的住院时间预测工具:系统评价与荟萃分析
Front Med (Lausanne). 2023 Aug 16;10:1192969. doi: 10.3389/fmed.2023.1192969. eCollection 2023.
7
Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration.透明报告使用聚类数据开发或验证的多变量预测模型(TRIPOD-Cluster):解释和说明。
BMJ. 2023 Feb 7;380:e071058. doi: 10.1136/bmj-2022-071058.
8
Do changes in frailty, physical functioning, and cognitive functioning predict mortality in old age? Results from the Longitudinal Aging Study Amsterdam.衰弱、身体功能和认知功能的变化是否能预测老年人的死亡率?来自阿姆斯特丹纵向老龄化研究的结果。
BMC Geriatr. 2022 Mar 12;22(1):193. doi: 10.1186/s12877-022-02876-0.
9
Optimising Cardiometabolic Risk Factors in Pregnancy: A Review of Risk Prediction Models Targeting Gestational Diabetes and Hypertensive Disorders.优化孕期心脏代谢风险因素:针对妊娠期糖尿病和高血压疾病的风险预测模型综述
J Cardiovasc Dev Dis. 2022 Feb 10;9(2):55. doi: 10.3390/jcdd9020055.
10
Field testing two existing, standardized respiratory severity scores (LIBSS and ReSViNET) in infants presenting with acute respiratory illness to tertiary hospitals in Rwanda - a validation and inter-rater reliability study.在卢旺达的三级医院中,对出现急性呼吸道疾病的婴儿进行两项现有标准化呼吸严重程度评分(LIBSS 和 ReSViNET)的现场测试 - 一项验证和评估者间可靠性研究。
PLoS One. 2021 Nov 4;16(11):e0258882. doi: 10.1371/journal.pone.0258882. eCollection 2021.