• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

青光眼病情进展诊断:临床判断与统计软件之间的一致性

Glaucoma Progression Diagnosis: The Agreement between Clinical Judgment and Statistical Software.

作者信息

Roberti Gloria, Michelessi Manuele, Tanga Lucia, Belfonte Luca, Del Grande Laura Maria, Bruno Marisa, Oddone Francesco

机构信息

IRCCS-Fondazione Bietti, Via Livenza 3, 00198 Rome, Italy.

出版信息

J Clin Med. 2022 Sep 20;11(19):5508. doi: 10.3390/jcm11195508.

DOI:10.3390/jcm11195508
PMID:36233376
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9573472/
Abstract

Background: To explore the agreement between clinical judgment and Guided Progression Analysis II (GPAII) in the evaluation of visual fields (VF) progression in patients with glaucoma. Methods: Three glaucoma experts and three general ophthalmologists were asked to rate the VF series by classifying them as progressive through the observation of the overview report. The agreement between clinical judgment and GPAII event analysis (EA) and trend analysis (TA) was assessed by Cohen statistic. The sensitivity and specificity of clinical judgment in detecting the presence of progression was evaluated considering the results of GPAII as the reference standard. Results: 66 VF series were included in the study. Glaucoma experts, general ophthalmologists, GPAII EA, and GPAII TA found progression in 39%, 38%, 15%, and 21% of the VF series (p < 0.05). The clinical judgment of glaucoma experts and general ophthalmologists was discordant with GPAII EA in 27.2% and 28.7% (k = 0.35, 95% CI 0.15−0.56 and k = 0.30, 95% CI 0.09−0.52) and with GPAII TA in 21.2% and 25.7% of the VF series examined (k = 0.51, 95% CI 0.31−0.72 and k = 0.41, 95% CI 0.18−0.62). Considering the GPAII EA and TA as reference standard, glaucoma experts showed a sensitivity of 90% and 92.8% and a specificity of 69.6% and 75%, while general ophthalmologists showed a sensitivity of 80% and 78.5% and a specificity of 69.6% and 73%. Conclusions: The agreement between clinical judgment and GPAII ranges from fair to moderate. Glaucoma experts showed better ability than general ophthalmologists in detecting VF progression.

摘要

背景

探讨临床判断与青光眼患者视野(VF)进展评估中的引导进展分析II(GPAII)之间的一致性。方法:邀请三位青光眼专家和三位普通眼科医生通过观察综述报告将VF系列分类为进展性,从而对VF系列进行评分。通过科恩统计量评估临床判断与GPAII事件分析(EA)和趋势分析(TA)之间的一致性。以GPAII的结果作为参考标准,评估临床判断在检测进展存在方面的敏感性和特异性。结果:本研究纳入了66个VF系列。青光眼专家、普通眼科医生、GPAII EA和GPAII TA分别发现39%、38%、15%和21%的VF系列存在进展(p<0.05)。青光眼专家和普通眼科医生的临床判断与GPAII EA不一致的VF系列分别为27.2%和28.7%(k = 0.35,95%CI 0.15 - 0.56和k = 0.30,95%CI 0.09 - 0.52),与GPAII TA不一致的VF系列分别为21.2%和25.7%(k = 0.51,95%CI 0.31 - 0.72和k = 0.41,95%CI 0.18 - 0.62)。以GPAII EA和TA作为参考标准,青光眼专家的敏感性分别为90%和92.8%,特异性分别为69.6%和75%,而普通眼科医生的敏感性分别为80%和78.5%,特异性分别为69.6%和73%。结论:临床判断与GPAII之间的一致性从中等到一般。青光眼专家在检测VF进展方面比普通眼科医生表现出更强的能力。

相似文献

1
Glaucoma Progression Diagnosis: The Agreement between Clinical Judgment and Statistical Software.青光眼病情进展诊断:临床判断与统计软件之间的一致性
J Clin Med. 2022 Sep 20;11(19):5508. doi: 10.3390/jcm11195508.
2
Glaucoma progression detection by retinal nerve fiber layer measurement using scanning laser polarimetry: event and trend analysis.使用扫描激光偏振仪通过视网膜神经纤维层测量检测青光眼进展:事件与趋势分析
Korean J Ophthalmol. 2012 Jun;26(3):174-81. doi: 10.3341/kjo.2012.26.3.174. Epub 2012 May 22.
3
Combining optical coherence tomography with visual field data to rapidly detect disease progression in glaucoma: a diagnostic accuracy study.结合光学相干断层扫描和视野数据快速检测青光眼疾病进展:一项诊断准确性研究。
Health Technol Assess. 2018 Jan;22(4):1-106. doi: 10.3310/hta22040.
4
Computer simulation of progressive retinal nerve fiber layer loss in glaucoma: performance of event and trend analyses.青光眼进展性视网膜神经纤维层丢失的计算机模拟:事件和趋势分析的性能。
Invest Ophthalmol Vis Sci. 2011 Dec 28;52(13):9674-83. doi: 10.1167/iovs.11-8052.
5
Glaucoma progression detection: agreement, sensitivity, and specificity of expert visual field evaluation, event analysis, and trend analysis.青光眼进展检测:专家视野评估、事件分析和趋势分析的一致性、敏感性及特异性
Eur J Ophthalmol. 2013 Mar-Apr;23(2):187-95. doi: 10.5301/ejo.5000193.
6
Statistical evaluation of the diagnostic accuracy of methods used to determine the progression of visual field defects in glaucoma.用于确定青光眼视野缺损进展的方法的诊断准确性的统计学评估。
Ophthalmology. 2004 Nov;111(11):2117-25. doi: 10.1016/j.ophtha.2004.06.025.
7
Assessing Glaucoma Progression Using Machine Learning Trained on Longitudinal Visual Field and Clinical Data.利用基于纵向视野和临床数据的机器学习评估青光眼进展。
Ophthalmology. 2021 Jul;128(7):1016-1026. doi: 10.1016/j.ophtha.2020.12.020. Epub 2020 Dec 25.
8
Evaluation of Visual Field Progression in Glaucoma: Quasar Regression Program and Event Analysis.青光眼视野进展的评估:类星体回归程序与事件分析
Curr Eye Res. 2016;41(3):383-90. doi: 10.3109/02713683.2015.1020169. Epub 2015 Apr 10.
9
Agreement of New Automated Matched Alternation Flicker using Undilated Fundus Photography for the Detection of Glaucomatous Structural Change.使用免散瞳眼底摄影术的新型自动匹配交替闪烁技术检测青光眼结构变化的一致性
Curr Eye Res. 2017 Mar;42(3):424-428. doi: 10.1080/02713683.2016.1192194. Epub 2016 Jul 15.
10
Glaucoma diagnostics.青光眼诊断。
Acta Ophthalmol. 2013 Feb;91 Thesis 1:1-32. doi: 10.1111/aos.12072.

引用本文的文献

1
Deep Learning in Glaucoma Detection and Progression Prediction: A Systematic Review and Meta-Analysis.青光眼检测与病情进展预测中的深度学习:一项系统综述与荟萃分析
Biomedicines. 2025 Feb 10;13(2):420. doi: 10.3390/biomedicines13020420.
2
Prediction of visual field progression in glaucoma: existing methods and artificial intelligence.青光眼视野进展预测:现有方法和人工智能。
Jpn J Ophthalmol. 2023 Sep;67(5):546-559. doi: 10.1007/s10384-023-01009-3. Epub 2023 Aug 4.
3
Use of artificial intelligence in forecasting glaucoma progression.人工智能在预测青光眼进展中的应用。
Taiwan J Ophthalmol. 2023 May 23;13(2):168-183. doi: 10.4103/tjo.TJO-D-23-00022. eCollection 2023 Apr-Jun.

本文引用的文献

1
Functional assessment of glaucoma: Uncovering progression.青光眼的功能评估:揭示进展。
Surv Ophthalmol. 2020 Nov-Dec;65(6):639-661. doi: 10.1016/j.survophthal.2020.04.004. Epub 2020 Apr 26.
2
Selecting visual field tests and assessing visual field deterioration in glaucoma.青光眼视野检查的选择及视野损害评估
Can J Ophthalmol. 2014 Dec;49(6):497-505. doi: 10.1016/j.jcjo.2014.10.002.
3
The pathophysiology and treatment of glaucoma: a review.青光眼的病理生理学和治疗:综述。
JAMA. 2014 May 14;311(18):1901-11. doi: 10.1001/jama.2014.3192.
4
Performance of the visual field index in glaucoma patients with moderately advanced visual field loss.视野指数在中度进展性视野损失的青光眼患者中的表现。
Am J Ophthalmol. 2014 Jan;157(1):39-43. doi: 10.1016/j.ajo.2013.09.003. Epub 2013 Nov 5.
5
Agreement between event-based and trend-based glaucoma progression analyses.基于事件的和基于趋势的青光眼进展分析之间的一致性。
Eye (Lond). 2013 Jul;27(7):803-8. doi: 10.1038/eye.2013.77. Epub 2013 Apr 19.
6
Behavior of visual field index in advanced glaucoma.晚期青光眼的视野指数变化。
Invest Ophthalmol Vis Sci. 2013 Jan 14;54(1):307-12. doi: 10.1167/iovs.12-10836.
7
Glaucoma progression detection: agreement, sensitivity, and specificity of expert visual field evaluation, event analysis, and trend analysis.青光眼进展检测:专家视野评估、事件分析和趋势分析的一致性、敏感性及特异性
Eur J Ophthalmol. 2013 Mar-Apr;23(2):187-95. doi: 10.5301/ejo.5000193.
8
Visual field progression in glaucoma: estimating the overall significance of deterioration with permutation analyses of pointwise linear regression (PoPLR).青光眼视野进展:通过逐点线性回归(PoPLR)的置换分析估计恶化的整体意义。
Invest Ophthalmol Vis Sci. 2012 Oct 1;53(11):6776-84. doi: 10.1167/iovs.12-10049.
9
Glaucoma Progression Analysis software compared with expert consensus opinion in the detection of visual field progression in glaucoma.青光眼进展分析软件在青光眼视野进展检测中与专家共识的比较。
Ophthalmology. 2012 Mar;119(3):468-73. doi: 10.1016/j.ophtha.2011.08.041. Epub 2011 Dec 2.
10
Examination of the performance of different pointwise linear regression progression criteria to detect glaucomatous visual field change.检查不同逐点线性回归进展标准检测青光眼视野变化的性能。
Clin Exp Ophthalmol. 2012 May-Jun;40(4):e190-6. doi: 10.1111/j.1442-9071.2011.02680.x. Epub 2011 Nov 4.