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Living health technology assessments: how close to living reality?

作者信息

Sarri Grammati, Forsythe Anna, Elvidge Jamie, Dawoud Dalia

机构信息

Real World and Advanced Analytics, Cytel Inc, London, UK

Real World and Advanced Analytics, Cytel Inc, Miami, Florida, USA.

出版信息

BMJ Evid Based Med. 2023 Nov 22;28(6):369-371. doi: 10.1136/bmjebm-2022-112152.

DOI:10.1136/bmjebm-2022-112152
PMID:36797052
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10715551/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84e5/10715551/86851952345e/bmjebm-2022-112152f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84e5/10715551/86851952345e/bmjebm-2022-112152f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84e5/10715551/86851952345e/bmjebm-2022-112152f01.jpg

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本文引用的文献

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Living HTA: Automating Health Economic Evaluation with R.实用卫生技术评估:使用R语言实现卫生经济评估自动化
Wellcome Open Res. 2022 Oct 11;7:194. doi: 10.12688/wellcomeopenres.17933.2. eCollection 2022.
2
A Framework for the Development of Living Practice Guidelines in Health Care.医疗保健中实践指南制定的框架。
Ann Intern Med. 2022 Aug;175(8):1154-1160. doi: 10.7326/M22-0514. Epub 2022 Jul 5.
3
A Conceptual Framework for Life-Cycle Health Technology Assessment.生命周期健康技术评估的概念框架。
Value Health. 2022 Jul;25(7):1116-1123. doi: 10.1016/j.jval.2021.11.1373. Epub 2022 Feb 4.
4
A Review of Economic Models Submitted to NICE's Technology Appraisal Programme, for Treatments of T1DM & T2DM.提交给英国国家卫生与临床优化研究所技术评估项目的用于治疗1型糖尿病和2型糖尿病的经济模型综述
Front Pharmacol. 2022 May 11;13:887298. doi: 10.3389/fphar.2022.887298. eCollection 2022.
5
Decision makers need constantly updated evidence synthesis.决策者需要不断更新的证据综合分析。
Nature. 2021 Dec;600(7889):383-385. doi: 10.1038/d41586-021-03690-1.
6
Methodological challenges for living systematic reviews conducted during the COVID-19 pandemic: A concept paper.新冠疫情期间进行的系统综述面临的方法学挑战:概念性论文。
J Clin Epidemiol. 2022 Jan;141:82-89. doi: 10.1016/j.jclinepi.2021.09.013. Epub 2021 Sep 12.
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BMJ Evid Based Med. 2022 Apr;27(2):109-119. doi: 10.1136/bmjebm-2020-111493. Epub 2020 Dec 9.
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Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews.机器学习减少了工作量,同时最小化了漏检研究的风险:一项用于 Cochrane 综述的随机对照试验分类器的开发和评估。
J Clin Epidemiol. 2021 May;133:140-151. doi: 10.1016/j.jclinepi.2020.11.003. Epub 2020 Nov 7.
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