Carra Maria Clotilde, Romandini Pierluigi, Romandini Mario
Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
METHODS Team, CRESS, INSERM, INRAe, Université Paris Cité, Paris, France.
J Periodontal Res. 2025 Apr 28. doi: 10.1111/jre.13405.
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.
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。