Dell Medical School, the University of Texas at Austin, Austin, Texas, USA.
John A. Burns School of Medicine, University of Hawaii Manoa, Honolulu, Hawaii, USA.
Int Forum Allergy Rhinol. 2022 Jan;12(1):83-102. doi: 10.1002/alr.22888. Epub 2021 Sep 28.
The 22-item sino-nasal outcome test (SNOT-22) is a widely used and powerful patient-reported outcomes measure for chronic rhinosinusitis (CRS). More recently; however, the SNOT-22 has been evaluated as a predictive tool for multiple conditions. The objective of this scoping review is to investigate the extent to which SNOT-22 is used in this manner and present this information in a way useful for clinicians.
A systematic search of PubMed, Scopus, Cochrane Library, and Web of Science was performed. Studies that evaluated SNOT-22s predictive utility were considered for eligibility in this scoping review.
A total of 39 studies met eligibility. The SNOT-22 was found to be used as a predictive tool in three broad categories: (1) to predict a diagnosis, (2) to predict an outcome of an intervention, and (3) to predict a patient treatment preference. Thirteen studies were included in the diagnosis category, which made up ten different individual predictions. Twenty-four studies were included in the outcomes category and investigated 17 different individual predictions. Finally, two studies were included in the patient preferences category, which together made one prediction.
The SNOT-22 is a versatile tool that has the potential to be used in predicting various diagnoses, outcomes, and patient preferences. However, care must be taken in applying these predictions to clinical practice, as further research must be done in validating these predictions based on SNOT-22 responses.
22 项鼻-鼻窦炎结局测试(SNOT-22)是一种广泛使用且强大的用于慢性鼻-鼻窦炎(CRS)的患者报告结局测量工具。然而,最近 SNOT-22 已被评估为多种疾病的预测工具。本综述的目的是调查 SNOT-22 以这种方式被使用的程度,并以对临床医生有用的方式呈现这些信息。
对 PubMed、Scopus、Cochrane 图书馆和 Web of Science 进行了系统搜索。符合条件的研究是评估 SNOT-22 预测效用的研究。
共有 39 项研究符合资格。SNOT-22 被发现可用于三种广泛的类别:(1)预测诊断,(2)预测干预的结果,(3)预测患者的治疗偏好。有 13 项研究被纳入诊断类别,其中包含十个不同的个体预测。有 24 项研究被纳入结果类别,调查了 17 个不同的个体预测。最后,两项研究被纳入患者偏好类别,共同做出一个预测。
SNOT-22 是一种多功能工具,具有用于预测各种诊断、结果和患者偏好的潜力。然而,在将这些预测应用于临床实践时必须谨慎,因为必须根据 SNOT-22 响应进一步研究来验证这些预测。