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引言:证据有多明显?

Introduction: How evident is the evidence?

机构信息

Department of Pediatrics, Obstetrics, and Gynecology, University of Valencia, Valencia, Spain; Igenomix Foundation-Instituto de Investigación Sanitaria INCLIVA, Valencia, Spain; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts.

出版信息

Fertil Steril. 2020 Jun;113(6):1091-1092. doi: 10.1016/j.fertnstert.2020.03.018.

DOI:10.1016/j.fertnstert.2020.03.018
PMID:32482243
Abstract

Randomized-controlled trials (RCTs) and meta-analyses are the pinnacle of evidence-based medicine, enabling identification of the best available diagnostic, interventional, and therapeutic options. These tools help clinicians and policy-makers to set clinical guidelines, but they also represent a double-edged sword: the meaningfulness of RCTs and meta-analyses relies on their quality, performance, and integrity. The present Views and Reviews collection prepared by 18 renowned experts and coordinated by Ben Mol aims to inform and educate our readers about RCTs and meta-analyses in reproductive medicine. The collection begins with the basic features that guarantee the quality of a trial, including protocols, registrations and monitoring, study design and analysis, and reporting standards. Next are discussed the status of planning and coordination of RCTs in different global settings, current unmet needs, and how future studies can better meet these needs, as well as methodologic issues facing different types of RCTs. Finally, insight is provided into the issue of data fabrication and falsification, offering possible solutions to ensure the integrity of RCTs. The challenges and benefits of these crucial evidence-generating tools deserve our attention and education because the findings of RCTs and meta-analyses can directly affect the health of our patients, and when performance and integrity problems exist, the "magic" of these tools disappears-with harmful consequences.

摘要

随机对照试验(RCTs)和荟萃分析是循证医学的巅峰,能够确定最佳的诊断、干预和治疗选择。这些工具帮助临床医生和决策者制定临床指南,但它们也代表了一把双刃剑:RCTs 和荟萃分析的意义取决于其质量、表现和完整性。本观点与评论集由 18 位知名专家编写,由 Ben Mol 协调,旨在为读者提供生殖医学中 RCTs 和荟萃分析的信息和教育。该文集首先介绍了保证试验质量的基本特征,包括方案、注册和监测、研究设计和分析以及报告标准。接下来讨论了不同全球环境下 RCT 规划和协调的现状、当前未满足的需求以及未来研究如何更好地满足这些需求,以及不同类型 RCTs 面临的方法学问题。最后,深入探讨了数据捏造和伪造问题,提供了确保 RCT 完整性的可能解决方案。这些关键的证据生成工具的挑战和益处值得我们关注和教育,因为 RCTs 和荟萃分析的发现可能直接影响我们患者的健康,而当存在表现和完整性问题时,这些工具的“魔力”就会消失,带来有害的后果。

相似文献

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Introduction: How evident is the evidence?引言:证据有多明显?
Fertil Steril. 2020 Jun;113(6):1091-1092. doi: 10.1016/j.fertnstert.2020.03.018.
2
Introduction: How evident is the evidence?
Fertil Steril. 2020 Jul 2. doi: 10.1016/j.fertnstert.2020.04.022.
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Integrity of randomized controlled trials: challenges and solutions.随机对照试验的完整性:挑战与解决方案。
Fertil Steril. 2020 Jun;113(6):1113-1119. doi: 10.1016/j.fertnstert.2020.04.018. Epub 2020 May 6.
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Evidence-based medicine, systematic reviews, and guidelines in interventional pain management: part 6. Systematic reviews and meta-analyses of observational studies.基于证据的医学、系统评价以及介入性疼痛管理指南:第6部分。观察性研究的系统评价与荟萃分析
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Methodologic considerations in randomized clinical trials in reproductive medicine.生殖医学随机临床试验中的方法学考量
Fertil Steril. 2020 Jun;113(6):1107-1112. doi: 10.1016/j.fertnstert.2020.04.038.
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Large randomized controlled trials in infertility.不孕症的大型随机对照试验。
Fertil Steril. 2020 Jun;113(6):1093-1099. doi: 10.1016/j.fertnstert.2020.04.037.
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Conflict of Evidence: Resolving Discrepancies When Findings from Randomized Controlled Trials and Meta-analyses Disagree.证据冲突:解决随机对照试验和荟萃分析结果不一致时的差异
Eur Urol. 2017 May;71(5):811-819. doi: 10.1016/j.eururo.2016.11.023. Epub 2016 Nov 30.
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Coordination and planning of clinical research on a national and global level.协调和规划国家级和全球性的临床研究。
Fertil Steril. 2020 Jun;113(6):1100-1106. doi: 10.1016/j.fertnstert.2020.04.032.
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Evidence-based medicine, systematic reviews, and guidelines in interventional pain management: part 3: systematic reviews and meta-analyses of randomized trials.基于证据的医学、系统评价以及介入性疼痛管理指南:第3部分:随机试验的系统评价与荟萃分析
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Empirical assessment suggests that existing evidence could be used more fully in designing randomized controlled trials.经验评估表明,现有的证据可以在设计随机对照试验中得到更充分的利用。
J Clin Epidemiol. 2010 Sep;63(9):983-91. doi: 10.1016/j.jclinepi.2010.01.022. Epub 2010 Jun 22.

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