Article(id=1320438312356135652, tenantId=1146029695717560320, journalId=1319373219989389464, issueId=1320438244077056901, articleNumber=null, orderNo=null, doi=10.11847/zgggws1149009, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1759075200000, receivedDateStr=2025-09-29, revisedDate=1763308800000, revisedDateStr=2025-11-17, acceptedDate=1768752000000, acceptedDateStr=2026-01-19, onlineDate=1792746626223, onlineDateStr=2026-10-23, pubDate=1781020800000, pubDateStr=2026-06-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792746626223, onlineIssueDateStr=2026-10-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792746626223, creator=13701087609, updateTime=1792746626223, updator=13701087609, issue=Issue{id=1320438244077056901, tenantId=1146029695717560320, journalId=1319373219989389464, year='2026', volume='42', issue='6', pageStart='641', pageEnd='768', issueExtLink='null', onlineDate='null', pubDate='1781020800000', pubDateStr='2026-06-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792746609943, creator='13701087609', updateTime=1792748036545, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1320444227734065468, tenantId=1146029695717560320, journalId=1319373219989389464, issueId=1320438244077056901, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1320444227734065469, tenantId=1146029695717560320, journalId=1319373219989389464, issueId=1320438244077056901, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=641, endPage=644, ext={EN=ArticleExt(id=1320438312582628069, articleId=1320438312356135652, tenantId=1146029695717560320, journalId=1319373219989389464, language=EN, title=Principles for transforming health evidence to recommendations and decisions, columnId=1320438171951804779, journalTitle=Chinese Journal of Public Health, columnName=Criterion, Guideline, Consensus, runingTitle=null, highlight=null, articleAbstract=
Systematically, transparently, and reliably translating the vast body of high-quality medical scientific evidence into recommendations that can guide clinical practice and health policy is a core challenge faced by the global medical community and a central component of evidence-based medicine. This article introduces the fundamental principles for translating health evidence into recommendations and decisions. Centering on the principles for moving from science evidence into recommendations and decisions (Core GRADE 7) released by the Grading of Recommendations Assessment, Development and Evaluation (GRADE) working group in June 2025, this article systematically elaborates on the key principles, decision-making frameworks, and critical considerations throughout the entire process from health evidence evaluation to the formulation of recommendations. By interpreting the core contents of Core GRADE 7, this article clarifies how Core GRADE 7 employs a structured Evidence-to-Decision (EtD) framework to systematically weigh the benefits and harms of interventions, assess the certainty of evidence, and integrate multidimensional factors-including patient values and preferences, health resource availability, acceptability, and equity-to ultimately form recommendations with clear directions and strengths. By doing so, this paper aims to provide a reference for developers of health practice guidelines, public health practitioners, health policymakers, researchers, and other stakeholders in China.
, authors=Jue LIU, authorsList=Jue LIU, authorCompany=null, correspAuthors=Jue LIU, authorNote=null, correspAuthorsNote=
, copyrightStatement=Copyright © 2026 Chinese Journal of Public Health. All rights reserved., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1320438314633642728, articleId=1320438312356135652, tenantId=1146029695717560320, journalId=1319373219989389464, language=CN, title=从卫生科学证据到推荐与决策的原则, columnId=1320438172773888365, journalTitle=中国公共卫生, columnName=标准·指南·共识, runingTitle=null, highlight=null, articleAbstract=
科学筛选海量高质量的卫生科学证据、透明且可靠地转化为指导卫生实践推荐意见并辅助卫生决策,是公共卫生领域面临的核心挑战之一,也是循证卫生的核心环节。本文介绍从卫生科学证据到推荐与决策的基本原则,围绕证据推荐分级的评估、制订与评价(Grading of Recommendations Assessment,Development and Evaluation, GRADE)工作组于2025年6月所发布的从卫生科学证据到推荐和决策的原则(简称Core GRADE 7),系统阐述从卫生证据评估到形成推荐意见全过程中的关键原则、决策框架及基本流程。本文对国际卫生科学证据到推荐与决策的原则(Core GRADE 7)的核心内容进行解读,阐明Core GRADE 7如何通过结构化的“证据到决策”(EtD)框架,系统权衡干预措施的利弊,评估证据的确定性,并整合患者价值与偏好、卫生资源、可接受性、公平性等多维因素,最终形成有明确方向与强度的推荐意见,为我国卫生实践指南的制定者、公共卫生从业者、卫生决策者及研究者提供参考。
, authors=刘珏
*, *, authorsList=刘珏, authorCompany=null, correspAuthors=刘珏, authorNote=
刘珏(1986—),研究员,博士,研究方向;流行病与卫生决策科学
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*, *, address=北京大学公共卫生学院流行病与卫生统计学系,北京 100191, bio={"content":"
刘珏(1986—),研究员,博士,研究方向;流行病与卫生决策科学
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刘珏(1986—),研究员,博士,研究方向;流行病与卫生决策科学
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Main process from health evidence to recommendations and decisions, figureFileSmall=AReScSUVsj8hKyoXXChEug==, figureFileBig=UCinPsDQpaHqYvPC3URSKQ==, tableContent=null), ArticleFig(id=1320438315988402945, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1320438312356135652, language=CN, label=图1, caption=
从卫生科学证据到推荐与决策的主要流程, figureFileSmall=AReScSUVsj8hKyoXXChEug==, figureFileBig=UCinPsDQpaHqYvPC3URSKQ==, tableContent=null), ArticleFig(id=1320438316231672578, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1320438312356135652, language=EN, label=Tab.1, caption=
Primary and secondary considerations of the GRADE Evidence-to-Decision (EtD) framework and their impacts on recommendations [8]
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| 因素类别 | 核心要素 | 核心判断/考量 | 对推荐方向与强度的影响 |
|---|
主要因素 (应始终考虑) | 获益、伤害与 负担的平衡 | 获益有多大? 伤害与负担有多大? | 净获益越大,越倾向于强推荐支持;反之亦然。 |
| 证据的确定性 | 每项结局的证据确定性水平如何? | 证据确定性是推荐强度的关键决定因素。高/中确定性证据是强推荐的前提,低/极低确定性证据通常导致条件性推荐。 |
| 价值观与偏好 | 患者的价值观与偏好是什么? 患者如何评判各项获益、伤害结局以及相关负担的重要性? 患者在价值观与偏好上存在多大程度的差异? 指南专家组对其关于患者价值观与偏好以及这些价值观与 偏好差异性的判断,有多大的确定性? | 患者越重视某获益,越倾向于强推荐支持。患者价值观与偏好差异越小,专家组对价值观与偏好的判断越 确定,越倾向于强推荐支持。 |
次要因素 (群体视角下尤为 重要) | 资源与 成本效益 | 所需的资源是什么? 与对照组相比,实施该干预措施是否会导致显著的成本增加或节省? 这些成本和节省与(干预措施的)获益和伤害之间有何关联? | 资源消耗越少、成本效益越高,越 可能获得支持性推荐,尤其是在群体视角下。 |
可行性
| 实施该干预措施是否可行? 与对照组相比,该干预措施的相对可行性如何? | 可行性越高,越可能获得支持性推荐。 |
| 可接受性 | 该干预措施对于患者、公卫从业者,以及其他关键利益相关者而言, 是否可以接受? 与对照组相比,该干预措施的相对可接受性如何? | 可接受性越高,越可能获得支持性 推荐。 |
| 公平性 | 与对照组相比,实施该干预措施会对健康公平性产生什么影响? | 越能促进健康公平,越可能获得 支持性推荐。 |
), ArticleFig(id=1320438316307170051, tenantId=1146029695717560320, journalId=1319373219989389464, articleId=1320438312356135652, language=CN, label=表1, caption=
GRADE证据到决策(EtD)框架的主要与次要考量因素及其对推荐意见的影响[8]
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| 因素类别 | 核心要素 | 核心判断/考量 | 对推荐方向与强度的影响 |
|---|
主要因素 (应始终考虑) | 获益、伤害与 负担的平衡 | 获益有多大? 伤害与负担有多大? | 净获益越大,越倾向于强推荐支持;反之亦然。 |
| 证据的确定性 | 每项结局的证据确定性水平如何? | 证据确定性是推荐强度的关键决定因素。高/中确定性证据是强推荐的前提,低/极低确定性证据通常导致条件性推荐。 |
| 价值观与偏好 | 患者的价值观与偏好是什么? 患者如何评判各项获益、伤害结局以及相关负担的重要性? 患者在价值观与偏好上存在多大程度的差异? 指南专家组对其关于患者价值观与偏好以及这些价值观与 偏好差异性的判断,有多大的确定性? | 患者越重视某获益,越倾向于强推荐支持。患者价值观与偏好差异越小,专家组对价值观与偏好的判断越 确定,越倾向于强推荐支持。 |
次要因素 (群体视角下尤为 重要) | 资源与 成本效益 | 所需的资源是什么? 与对照组相比,实施该干预措施是否会导致显著的成本增加或节省? 这些成本和节省与(干预措施的)获益和伤害之间有何关联? | 资源消耗越少、成本效益越高,越 可能获得支持性推荐,尤其是在群体视角下。 |
可行性
| 实施该干预措施是否可行? 与对照组相比,该干预措施的相对可行性如何? | 可行性越高,越可能获得支持性推荐。 |
| 可接受性 | 该干预措施对于患者、公卫从业者,以及其他关键利益相关者而言, 是否可以接受? 与对照组相比,该干预措施的相对可接受性如何? | 可接受性越高,越可能获得支持性 推荐。 |
| 公平性 | 与对照组相比,实施该干预措施会对健康公平性产生什么影响? | 越能促进健康公平,越可能获得 支持性推荐。 |
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