《神经系统疾病报告标准(STROND)清单的制定:神经流行病学中发病率和患病率研究报告的指南》。

Development of the Standards of Reporting of Neurological Disorders (STROND) checklist: A guideline for the reporting of incidence and prevalence studies in neuroepidemiology.

机构信息

From the Nuffield Department of Population Health (D.A.B.) and Stroke Prevention Research Unit (P.M.R.), University of Oxford; Department of Public Health and Primary Care (C.B.), University of Cambridge, UK; National Institute for Stroke and Applied Neurosciences (V.L.F.), AUT University, Auckland; Department of Psychology (S.B.-C.), University of Auckland, New Zealand; Department for Clinical Medicine and Preventive Medicine (M.B.), Danube-University, Krems, Austria; Faculty of Population Health Sciences (D.D.), University College London; Centre of Primary Care and Public Health (V.G.), Blizard Institute, Queen Mary, University of London, UK; Department of Clinical Neurosciences and Hotchkiss Brain Institute (N.J.), Department of Community Health Sciences and O'Brien Institute for Public Health, University of Calgary, Canada; Research Group Epidemiological and Statistical Methods (A.K.), Helmholtz Centre for Infection Research, Braunschweig, Germany; Georgetown University (J.F.K.), Washington, DC; Vascular Neurology and Stroke Unit (P.M.L.), Neurology Service, Department of Medicine, Clínica Alemana de Santiago, Universidad del Desarrollo and Department of Neurological Sciences, Universidad de Chile, Institute of Neurosurgery, Santiago; Neurodegenerative Diseases Unit (G.L.), Department of Basic Medicine, Neurosciences and Sense Organs, University Aldo Moro, Bari; Department of Clinical Research in Neurology presso Fondazione Card Panico (G.L.), Tricase (LE), University Aldo Moro, Bari, Italy; Institute of Epidemiology and Medical Biometry (G.N.), University of Ulm, Germany; Institute of Tropical Neurology (P.-M.P.), University of Limoges, France; and School of Public Health (L.W.S.), University of Alberta, Edmonton, Canada.

出版信息

Neurology. 2015 Sep 1;85(9):821-8. doi: 10.1212/WNL.0000000000001866. Epub 2015 Jul 10.

Abstract

BACKGROUND

Incidence and prevalence studies of neurologic disorders play an important role in assessing the burden of disease and planning services. However, the assessment of disease estimates is hindered by problems in reporting for such studies. Despite a growth in published reports, existing guidelines relate to analytical rather than descriptive epidemiologic studies. There are also no user-friendly tools (e.g., checklists) available for authors, editors, and peer reviewers to facilitate best practice in reporting of descriptive epidemiologic studies for most neurologic disorders.

OBJECTIVE

The Standards of Reporting of Neurological Disorders (STROND) is a guideline that consists of recommendations and a checklist to facilitate better reporting of published incidence and prevalence studies of neurologic disorders.

METHODS

A review of previously developed guidance was used to produce a list of items required for incidence and prevalence studies in neurology. A 3-round Delphi technique was used to identify the "basic minimum items" important for reporting, as well as some additional "ideal reporting items." An e-consultation process was then used in order to gauge opinion by external neuroepidemiologic experts on the appropriateness of the items included in the checklist.

FINDINGS

Of 38 candidate items, 15 items and accompanying recommendations were developed along with a user-friendly checklist.

CONCLUSIONS

The introduction and use of the STROND checklist should lead to more consistent, transparent, and contextualized reporting of descriptive neuroepidemiologic studies resulting in more applicable and comparable findings and ultimately support better health care decisions.

摘要

背景

神经疾病的发病率和患病率研究在评估疾病负担和规划服务方面发挥着重要作用。然而,由于此类研究报告存在问题,疾病估计的评估受到阻碍。尽管发表的报告有所增加,但现有的指南仅涉及分析性而非描述性的流行病学研究。也没有方便用户使用的工具(例如检查表)供作者、编辑和同行评审者在报告大多数神经疾病的描述性流行病学研究时使用,以促进最佳实践。

目的

《神经系统疾病报告标准》(STROND)是一个指南,其中包含建议和检查表,以促进更好地报告已发表的神经疾病发病率和患病率研究。

方法

对先前制定的指南进行了审查,以列出神经病学发病率和患病率研究所需的项目清单。使用三轮 Delphi 技术确定了报告的“基本最小项目”,以及一些额外的“理想报告项目”。然后使用电子咨询过程来衡量外部神经流行病学专家对检查表中包含的项目的意见。

发现

在 38 个候选项目中,制定了 15 个项目和相应的建议,并附有一个用户友好的检查表。

结论

STROND 检查表的引入和使用应导致更一致、更透明和更具背景的描述性神经流行病学研究报告,从而产生更适用和更可比的研究结果,并最终支持更好的医疗保健决策。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索