已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

The predictive utility of the 22‐item sino‐nasal outcome test (SNOT‐22): A scoping review

医学 慢性鼻-鼻窦炎 科克伦图书馆 医学诊断 梅德林 考试(生物学) 结果(博弈论) 斯科普斯 荟萃分析 病理 内科学 古生物学 数学 数理经济学 政治学 法学 生物
作者
Matthew Liu,Jeremy Liu,Erik K Weitzel,Philip G. Chen
出处
期刊:International Forum of Allergy & Rhinology [Wiley]
卷期号:12 (1): 83-102 被引量:28
标识
DOI:10.1002/alr.22888
摘要

Abstract Background 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. Methods 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. Results 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. Conclusions 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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI6.3应助LYCORIS采纳,获得10
1秒前
不知道发布了新的文献求助10
1秒前
4秒前
Hello应助BPATIENT采纳,获得10
4秒前
科研通AI6.1应助bobo呀采纳,获得30
10秒前
安详以松发布了新的文献求助10
10秒前
15秒前
fengerchui完成签到,获得积分10
15秒前
16秒前
111完成签到,获得积分10
17秒前
科研通AI6.2应助1234采纳,获得10
18秒前
18秒前
19秒前
19秒前
opus17发布了新的文献求助30
21秒前
fengerchui发布了新的文献求助10
23秒前
共享精神应助自由的凛采纳,获得10
25秒前
25秒前
25秒前
28秒前
荆展鹏发布了新的文献求助10
28秒前
29秒前
29秒前
29秒前
29秒前
29秒前
美人鱼公主完成签到,获得积分10
29秒前
Lee应助科研通管家采纳,获得10
29秒前
无花果应助科研通管家采纳,获得10
29秒前
在水一方应助科研通管家采纳,获得10
30秒前
30秒前
wzzz应助科研通管家采纳,获得10
30秒前
Ava应助科研通管家采纳,获得10
30秒前
ding应助科研通管家采纳,获得10
30秒前
上官若男应助科研通管家采纳,获得10
30秒前
30秒前
31秒前
31秒前
Jasper应助微笑二娘采纳,获得10
34秒前
1234发布了新的文献求助10
35秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6020467
求助须知:如何正确求助?哪些是违规求助? 7619374
关于积分的说明 16164857
捐赠科研通 5168182
什么是DOI,文献DOI怎么找? 2765959
邀请新用户注册赠送积分活动 1748030
关于科研通互助平台的介绍 1635902