• 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

Improving clinical management of COVID-19: the role of prediction models.

作者信息

Wynants Laure, Sotgiu Giovanni

机构信息

Department of Epidemiology, Care and Public Health Research Institute, Maastricht University, Netherlands.

Clinical Epidemiology and Medical Statistics Unit, Department of Medical, Surgical, and Experimental Sciences, University of Sassari, Italy.

出版信息

Lancet Respir Med. 2021 Apr;9(4):320-321. doi: 10.1016/S2213-2600(21)00006-0. Epub 2021 Jan 11.

DOI:10.1016/S2213-2600(21)00006-0
PMID:33444541
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7836633/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f30/7836633/1849116afffc/fx1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f30/7836633/1849116afffc/fx1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f30/7836633/1849116afffc/fx1_lrg.jpg

相似文献

1
Improving clinical management of COVID-19: the role of prediction models.改善新型冠状病毒肺炎的临床管理：预测模型的作用
Lancet Respir Med. 2021 Apr;9(4):320-321. doi: 10.1016/S2213-2600(21)00006-0. Epub 2021 Jan 11.
2
An online tool for predicting the prognosis of cancer patients with SARS-CoV-2 infection: a multi-center study.一种用于预测 SARS-CoV-2 感染癌症患者预后的在线工具：一项多中心研究。
J Cancer Res Clin Oncol. 2021 Apr;147(4):1247-1257. doi: 10.1007/s00432-020-03420-6. Epub 2020 Oct 11.
3
Predicting Mortality Due to SARS-CoV-2: A Mechanistic Score Relating Obesity and Diabetes to COVID-19 Outcomes in Mexico.预测因 SARS-CoV-2 导致的死亡率：一个将肥胖和糖尿病与墨西哥 COVID-19 结局相关联的机制评分。
J Clin Endocrinol Metab. 2020 Aug 1;105(8). doi: 10.1210/clinem/dgaa346.
4
Performance of prediction models for COVID-19: the Caudine Forks of the external validation.预测 COVID-19 模型的性能：外部验证的卡度内分岔。
Eur Respir J. 2020 Dec 24;56(6). doi: 10.1183/13993003.03728-2020. Print 2020 Dec.
5
Analyzing master regulators and scRNA-seq of COVID-19 patients reveals an underlying anti-SARS-CoV-2 mechanism of ZNF proteins.分析 COVID-19 患者的主调控因子和 scRNA-seq 揭示了 ZNF 蛋白对抗 SARS-CoV-2 的潜在机制。
Brief Bioinform. 2021 Sep 2;22(5). doi: 10.1093/bib/bbab118.
6
8806 Russian patients demonstrate T cell count as better marker of COVID-19 clinical course severity than SARS-CoV-2 viral load.8806 例俄罗斯患者的 T 细胞计数表明其对 COVID-19 临床病程严重程度的指示作用优于 SARS-CoV-2 病毒载量。
Sci Rep. 2021 May 3;11(1):9440. doi: 10.1038/s41598-021-88714-6.
7
SARS-CoV-2 and its relationship with the genitourinary tract: Implications for male reproductive health in the context of COVID-19 pandemic.SARS-CoV-2 及其与泌尿生殖系统的关系：COVID-19 大流行背景下对男性生殖健康的影响。
Andrology. 2021 Jan;9(1):73-79. doi: 10.1111/andr.12896. Epub 2020 Sep 30.
8
The Prospect of Lactoferrin Use as Adjunctive Agent in Management of SARS-CoV-2 Patients: A Randomized Pilot Study.乳铁蛋白作为 SARS-CoV-2 患者辅助治疗药物的前景：一项随机初步研究。
Medicina (Kaunas). 2021 Aug 19;57(8):842. doi: 10.3390/medicina57080842.
9
Coronavirus Disease 2019: Coronaviruses and Kidney Injury.2019 年冠状病毒病：冠状病毒与肾脏损伤。
J Urol. 2020 Nov;204(5):918-925. doi: 10.1097/JU.0000000000001289. Epub 2020 Jul 17.
10
Outcome prediction based on initial CT scan in COVID-19.基于新冠病毒病初始CT扫描的预后预测
Heart Lung. 2021 Mar-Apr;50(2):361-362. doi: 10.1016/j.hrtlng.2021.01.013. Epub 2021 Jan 23.

引用本文的文献

1
A Machine Learning-Based Web Tool for the Severity Prediction of COVID-19.一种基于机器学习的用于预测COVID-19严重程度的网络工具。
BioTech (Basel). 2024 Jul 1;13(3):22. doi: 10.3390/biotech13030022.
2
Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study.多模态深度学习在急诊科 COVID-19 预后预测中的应用：一项双中心研究。
Sci Rep. 2023 Jul 5;13(1):10868. doi: 10.1038/s41598-023-37512-3.
3
Using ISARIC 4C mortality score to predict dynamic changes in mortality risk in COVID-19 patients during hospital admission.

本文引用的文献

1
Development and validation of the ISARIC 4C Deterioration model for adults hospitalised with COVID-19: a prospective cohort study.ISARIC 4C 成人 COVID-19 恶化模型的开发和验证：一项前瞻性队列研究。
Lancet Respir Med. 2021 Apr;9(4):349-359. doi: 10.1016/S2213-2600(20)30559-2. Epub 2021 Jan 11.
2
Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: an observational cohort study.系统评价和外部验证 22 种住院成人 COVID-19 预后模型：一项观察性队列研究。
Eur Respir J. 2020 Dec 24;56(6). doi: 10.1183/13993003.03498-2020. Print 2020 Dec.
3
Prediction meets causal inference: the role of treatment in clinical prediction models.
使用 ISARIC 4C 死亡率评分预测 COVID-19 患者住院期间死亡率风险的动态变化。
PLoS One. 2022 Oct 12;17(10):e0274158. doi: 10.1371/journal.pone.0274158. eCollection 2022.
4
Development and validation of the predictive score for pediatric COVID-19 pneumonia: A nationwide, multicenter study.儿童 COVID-19 肺炎预测评分的制定和验证：一项全国性多中心研究。
PLoS One. 2022 Aug 29;17(8):e0273842. doi: 10.1371/journal.pone.0273842. eCollection 2022.
5
Symptom-Based Predictive Model of COVID-19 Disease in Children.基于症状的儿童 COVID-19 疾病预测模型。
Viruses. 2021 Dec 30;14(1):63. doi: 10.3390/v14010063.
6
Comparison of the First and Second Waves of the Coronavirus Disease 2019 Pandemic in Children and Adolescents in a Middle-Income Country: Clinical Impact Associated with Severe Acute Respiratory Syndrome Coronavirus 2 Gamma Lineage.比较中低收入国家儿童和青少年 2019 冠状病毒病 2019 年大流行的第一波和第二波：与严重急性呼吸综合征冠状病毒 2 伽马谱系相关的临床影响。
J Pediatr. 2022 May;244:178-185.e3. doi: 10.1016/j.jpeds.2022.01.001. Epub 2022 Jan 11.
7
Low Brachial Artery Flow-Mediated Dilation Predicts Worse Prognosis in Hospitalized Patients with COVID-19.肱动脉血流介导的血管舒张功能降低预示着新冠肺炎住院患者的预后更差。
J Clin Med. 2021 Nov 22;10(22):5456. doi: 10.3390/jcm10225456.
8
Automated Quantitative Lung CT Improves Prognostication in Non-ICU COVID-19 Patients beyond Conventional Biomarkers of Disease.自动化定量肺部CT在非ICU新冠肺炎患者中改善疾病预后，优于传统疾病生物标志物。
Diagnostics (Basel). 2021 Nov 16;11(11):2125. doi: 10.3390/diagnostics11112125.
9
Prospective validation of the 4C prognostic models for adults hospitalised with COVID-19 using the ISARIC WHO Clinical Characterisation Protocol.前瞻性验证 ISARIC WHO 临床特征协议中用于 COVID-19 成年住院患者的 4C 预后模型。
Thorax. 2022 Jun;77(6):606-615. doi: 10.1136/thoraxjnl-2021-217629. Epub 2021 Nov 22.
10
A Modular Biomaterial Scaffold-Based Vaccine Elicits Durable Adaptive Immunity to Subunit SARS-CoV-2 Antigens.基于模块化生物材料支架的疫苗可引发针对亚单位 SARS-CoV-2 抗原的持久适应性免疫。
Adv Healthc Mater. 2021 Nov;10(22):e2101370. doi: 10.1002/adhm.202101370. Epub 2021 Oct 4.
预测与因果推断：治疗在临床预测模型中的作用。
Eur J Epidemiol. 2020 Jul;35(7):619-630. doi: 10.1007/s10654-020-00636-1. Epub 2020 May 22.
4
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal.COVID-19 诊断和预后预测模型：系统评价和批判性评估。
BMJ. 2020 Apr 7;369:m1328. doi: 10.1136/bmj.m1328.
5
Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators.报告和解读决策曲线分析：研究人员指南。
Eur Urol. 2018 Dec;74(6):796-804. doi: 10.1016/j.eururo.2018.08.038. Epub 2018 Sep 19.
6
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges.利用电子健康记录或个体患者数据（IPD）荟萃分析的大数据集对临床预测模型进行外部验证：机遇与挑战
BMJ. 2016 Jun 22;353:i3140. doi: 10.1136/bmj.i3140.
7
A calibration hierarchy for risk models was defined: from utopia to empirical data.定义了风险模型的校准层次结构：从理想状态到经验数据。
J Clin Epidemiol. 2016 Jun;74:167-76. doi: 10.1016/j.jclinepi.2015.12.005. Epub 2016 Jan 6.
8
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.透明报告个体预后或诊断的多变量预测模型（TRIPOD）：解释和说明。
Ann Intern Med. 2015 Jan 6;162(1):W1-73. doi: 10.7326/M14-0698.