Suppr超能文献

横断面研究的偏倚风险评估:纽卡斯尔-渥太华量表的改编

Risk of Bias Evaluation of Cross-Sectional Studies: Adaptation of the Newcastle-Ottawa Scale.

作者信息

Carra Maria Clotilde, Romandini Pierluigi, Romandini Mario

机构信息

Department of Translational Medicine, University of Ferrara, Ferrara, Italy.

METHODS Team, CRESS, INSERM, INRAe, Université Paris Cité, Paris, France.

出版信息

J Periodontal Res. 2025 Apr 28. doi: 10.1111/jre.13405.

Abstract

Cross-sectional studies are widely utilized in medical research to estimate prevalence and examine associations. As such, they can serve as a significant source of data for systematic reviews. However, specific considerations are necessary when evaluating the risk of bias (RoB) of cross-sectional studies, as several potential biases can undermine the validity, reliability, and robustness of their findings. This article introduces a novel, context-specific tool designed to assess the RoB of cross-sectional studies for use in systematic reviews. The proposed tool represents an adaptation of the Newcastle-Ottawa Scale (NOS), originally developed for cohort and case-control studies. Similar to the original NOS, the new tool (named "NOS-xs") features a nine-star rating system to assess six specific items across three main domains: (i) study sample selection, (ii) assessment of exposure(s) and outcome(s), and (iii) confounding factors. Based on the number of awarded stars, studies are categorized as having high (0-3 stars), moderate (4-6 stars), or low (7-9 stars) RoB. The NOS-xs tool maintains consistency with the original NOS tool, facilitating its integration into systematic reviews that also include cohort and/or case-control studies. While the NOS-xs is suited to analytical cross-sectional studies (i.e., association studies), a simplified version ("NOS-xs2") is also introduced for descriptive cross-sectional studies (i.e., prevalence studies). The NOS-xs2 features a four-star rating system to assess three of the six specific items included in the NOS-xs. To streamline their application, spreadsheets for both NOS-xs and NOS-x2 are provided.

摘要

横断面研究在医学研究中被广泛用于估计患病率和检验关联。因此,它们可以作为系统评价的重要数据来源。然而,在评估横断面研究的偏倚风险(RoB)时需要特别考虑,因为一些潜在的偏倚可能会削弱其研究结果的有效性、可靠性和稳健性。本文介绍了一种新颖的、针对特定情境的工具,旨在评估用于系统评价的横断面研究的RoB。所提出的工具是对最初为队列研究和病例对照研究开发的纽卡斯尔-渥太华量表(NOS)的改编。与原始的NOS类似,新工具(命名为“NOS-xs”)采用九星评级系统来评估三个主要领域中的六个特定项目:(i)研究样本选择,(ii)暴露和结局评估,以及(iii)混杂因素。根据获得的星数,研究被分类为具有高(0-3星)、中(4-6星)或低(7-9星)RoB。NOS-xs工具与原始的NOS工具保持一致,便于将其纳入也包括队列研究和/或病例对照研究的系统评价中。虽然NOS-xs适用于分析性横断面研究(即关联研究),但还引入了一个简化版本(“NOS-xs2”)用于描述性横断面研究(即患病率研究)。NOS-xs2采用四星评级系统来评估NOS-xs中包含的六个特定项目中的三个。为了简化它们的应用,提供了NOS-xs和NOS-x2的电子表格。

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

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验