• 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

点线性回归标准在青光眼进展判断中的优化。

Refinement of pointwise linear regression criteria for determining glaucoma progression.

机构信息

Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa.

出版信息

Invest Ophthalmol Vis Sci. 2013 Sep 19;54(9):6234-41. doi: 10.1167/iovs.13-11680.

DOI:10.1167/iovs.13-11680
PMID:23908183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3778872/
Abstract

PURPOSE

A variety of pointwise linear regression (PLR) criteria have been proposed for determining glaucomatous visual field progression. However, alternative PLR criteria have only been assessed on a limited basis. The purpose of this study was to evaluate a range of PLR slope and significance criteria to define a clinically useful progression decision rule for longitudinal visual field examinations.

METHODS

Visual field data for each of 140 eyes (one per participant among 96 cases and 44 controls) were evaluated using the Humphrey Field Analyzer II program 24-2 Swedish interactive thresholding algorithm standard test strategy and Goldmann size III stimuli. The pointwise linear regression A2 (PLRA2) method was used to analyze the data, which included nine visual field examinations performed every 6 months for 4 years. Data from the Ocular Hypertension Treatment Study (OHTS) were used to validate the decision rule.

RESULTS

Several slope criteria produced specificities of 0.90 or higher, particularly slope criteria of less than -1.2 dB/y. The use of the slope criterion less than -1.2 dB/y at a significance level of P < 0.04 for classification resulted in a hit rate of 0.38, more than a 2-fold increase compared with a commonly used standard slope criterion of less than -1.0 dB/y at a significance level of P < 0.01. A similar increase in the hit rate was shown for a slope of less than -1.2 dB/y and P < 0.04 compared with the standard criterion in the independent OHTS validation data.

CONCLUSIONS

When systematically evaluating criteria for detecting glaucoma progression, PLR criteria can be refined by requiring a stricter slope criterion such as less than -1.2 dB/y and relaxing the significance criterion to P < 0.04. Increasing the hit rate of PLR will be useful for early detection and treatment of glaucoma.

摘要

目的

已经提出了多种用于确定青光眼视野进展的逐点线性回归(PLR)标准。然而,替代的 PLR 标准仅在有限的基础上进行了评估。本研究的目的是评估一系列 PLR 斜率和显著性标准,以定义用于纵向视野检查的临床有用的进展决策规则。

方法

使用 Humphrey Field Analyzer II 程序 24-2 瑞典交互式阈值算法标准测试策略和 Goldmann 大小 III 刺激物,对 96 例病例和 44 例对照中的每例 140 只眼(每位参与者 1 只眼)的视野数据进行评估。使用逐点线性回归 A2(PLRA2)方法分析数据,其中包括 4 年内每 6 个月进行的 9 次视野检查。使用眼高压治疗研究(OHTS)的数据来验证决策规则。

结果

几种斜率标准的特异性达到 0.90 或更高,特别是斜率标准小于-1.2 dB/y。在显著性水平 P<0.04 下使用斜率标准小于-1.2 dB/y进行分类,其命中率为 0.38,与通常使用的显著性水平 P<0.01 的斜率标准小于-1.0 dB/y相比,命中率提高了两倍以上。在独立的 OHTS 验证数据中,斜率标准小于-1.2 dB/y 和 P<0.04 与标准标准相比,命中率也有类似的提高。

结论

在系统评估用于检测青光眼进展的标准时,可以通过要求更严格的斜率标准(如小于-1.2 dB/y)和放宽显著性标准至 P<0.04 来细化 PLR 标准。提高 PLR 的命中率将有助于青光眼的早期发现和治疗。

相似文献

1
Refinement of pointwise linear regression criteria for determining glaucoma progression.点线性回归标准在青光眼进展判断中的优化。
Invest Ophthalmol Vis Sci. 2013 Sep 19;54(9):6234-41. doi: 10.1167/iovs.13-11680.
2
The Effect of Limiting the Range of Perimetric Sensitivities on Pointwise Assessment of Visual Field Progression in Glaucoma.限制视野敏感度范围对青光眼视野进展逐点评估的影响
Invest Ophthalmol Vis Sci. 2016 Jan 1;57(1):288-94. doi: 10.1167/iovs.15-18000.
3
Spatial and temporal processing of threshold data for detection of progressive glaucomatous visual field loss.用于检测进行性青光眼视野缺损的阈值数据的时空处理。
Arch Ophthalmol. 2002 Feb;120(2):173-80. doi: 10.1001/archopht.120.2.173.
4
Pointwise linear progression criteria and the detection of visual field change in a glaucoma trial.逐点线性进展标准与青光眼试验中视野变化的检测
Eye (Lond). 2006 Jan;20(1):98-106. doi: 10.1038/sj.eye.6701781.
5
Defining 10-2 visual field progression criteria: exploratory and confirmatory factor analysis using pointwise linear regression.定义 10-2 视野进展标准:使用逐点线性回归进行探索性和验证性因子分析。
Ophthalmology. 2014 Mar;121(3):741-9. doi: 10.1016/j.ophtha.2013.10.018. Epub 2013 Nov 28.
6
Effect of focal lamina cribrosa defect on glaucomatous visual field progression.视盘局限性筛板缺损对青光眼视野进展的影响。
Ophthalmology. 2014 Aug;121(8):1524-30. doi: 10.1016/j.ophtha.2014.02.017. Epub 2014 Mar 31.
7
Frequency doubling technology perimetry for detection of visual field progression in glaucoma: a pointwise linear regression analysis.用于检测青光眼视野进展的倍频技术视野检查:逐点线性回归分析
Invest Ophthalmol Vis Sci. 2014 May 2;55(5):2862-9. doi: 10.1167/iovs.13-13225.
8
Pointwise linear regression analysis for detection of visual field progression with absolute versus corrected threshold sensitivities.采用绝对阈值敏感性与校正阈值敏感性的逐点线性回归分析检测视野进展。
Invest Ophthalmol Vis Sci. 2006 Jul;47(7):2896-903. doi: 10.1167/iovs.05-1079.
9
SITA-Standard perimetry has better performance than FDT2 matrix perimetry for detecting glaucomatous progression.SITA 标准视野检查在检测青光眼进展方面比 FDT2 矩阵视野检查具有更好的性能。
Br J Ophthalmol. 2018 Oct;102(10):1396-1401. doi: 10.1136/bjophthalmol-2017-310894. Epub 2018 Jan 13.
10
Validating the efficacy of the binomial pointwise linear regression method to detect glaucoma progression with multicentral database.基于多中心数据库验证二项式逐点线性回归方法检测青光眼进展的疗效。
Br J Ophthalmol. 2020 Apr;104(4):569-574. doi: 10.1136/bjophthalmol-2019-314136. Epub 2019 Jul 4.

引用本文的文献

1
[Visual field prediction based on temporal-spatial feature learning].基于时空特征学习的视野预测
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2024 Oct 25;41(5):1003-1011. doi: 10.7507/1001-5515.202310072.
2
Archetypal analysis of longitudinal visual fields for idiopathic intracranial hypertension patients presenting in a clinic setting.临床环境中特发性颅内压增高患者纵向视野的原型分析。
PLOS Digit Health. 2023 May 8;2(5):e0000240. doi: 10.1371/journal.pdig.0000240. eCollection 2023 May.
3
Combining Optical Coherence Tomography and Optical Coherence Tomography Angiography Longitudinal Data for the Detection of Visual Field Progression in Glaucoma.结合光学相干断层扫描和光学相干断层扫描血管造影纵向数据用于检测青光眼视野进展
Am J Ophthalmol. 2023 Feb;246:141-154. doi: 10.1016/j.ajo.2022.10.016. Epub 2022 Nov 1.
4
Multilayer Macula Vessel Density and Visual Field Progression in Glaucoma.青光眼的多层黄斑血管密度与视野进展。
Am J Ophthalmol. 2022 May;237:193-203. doi: 10.1016/j.ajo.2021.11.018. Epub 2021 Nov 19.
5
Unsupervised Machine Learning Identifies Quantifiable Patterns of Visual Field Loss in Idiopathic Intracranial Hypertension.无监督机器学习在特发性颅内高压的视野丧失中识别可量化模式。
Transl Vis Sci Technol. 2021 Aug 2;10(9):37. doi: 10.1167/tvst.10.9.37.
6
Prediction of Visual Field Progression from OCT Structural Measures in Moderate to Advanced Glaucoma.基于光学相干断层扫描(OCT)结构测量对中度至重度青光眼视野进展的预测
Am J Ophthalmol. 2021 Jun;226:172-181. doi: 10.1016/j.ajo.2021.01.023. Epub 2021 Jan 30.
7
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.
8
Two-year analysis of changes in the optic nerve and retina following anti-VEGF treatments in diabetic macular edema patients.糖尿病性黄斑水肿患者抗VEGF治疗后视神经和视网膜变化的两年分析
Clin Ophthalmol. 2019 Jul 1;13:1087-1096. doi: 10.2147/OPTH.S199758. eCollection 2019.
9
An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis.基于空间模式分析的人工智能在青光眼视野进展检测中的应用。
Invest Ophthalmol Vis Sci. 2019 Jan 2;60(1):365-375. doi: 10.1167/iovs.18-25568.
10
The Effective Dynamic Ranges for Glaucomatous Visual Field Progression With Standard Automated Perimetry and Stimulus Sizes III and V.标准自动视野计 III 和 V 检测青光眼视野进展的有效动态范围。
Invest Ophthalmol Vis Sci. 2018 Jan 1;59(1):439-445. doi: 10.1167/iovs.17-22390.

本文引用的文献

1
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.
2
'Structure-function relationship' in glaucoma: past thinking and current concepts.青光眼的“结构-功能关系”:过去的思考与当前的概念。
Clin Exp Ophthalmol. 2012 May-Jun;40(4):369-80. doi: 10.1111/j.1442-9071.2012.02770.x. Epub 2012 Apr 12.
3
The rate of visual field change in the ocular hypertension treatment study.青光眼治疗研究中的视野变化率。
Invest Ophthalmol Vis Sci. 2012 Jan 25;53(1):224-7. doi: 10.1167/iovs.10-7117.
4
Comparison of methods to predict visual field progression in glaucoma.青光眼视野进展预测方法的比较
Arch Ophthalmol. 2007 Sep;125(9):1176-81. doi: 10.1001/archopht.125.9.1176.
5
Staging functional damage in glaucoma: review of different classification methods.青光眼功能损害的分期:不同分类方法综述
Surv Ophthalmol. 2007 Mar-Apr;52(2):156-79. doi: 10.1016/j.survophthal.2006.12.008.
6
Pointwise linear regression for evaluation of visual field outcomes and comparison with the advanced glaucoma intervention study methods.用于评估视野结果并与高级青光眼干预研究方法进行比较的逐点线性回归
Arch Ophthalmol. 2005 Feb;123(2):193-9. doi: 10.1001/archopht.123.2.193.
7
Longitudinal changes in the visual field and optic disc in glaucoma.青光眼患者视野及视盘的纵向变化
Prog Retin Eye Res. 2005 May;24(3):333-54. doi: 10.1016/j.preteyeres.2004.10.002. Epub 2005 Jan 24.
8
Predictive factors for glaucomatous visual field progression in the Advanced Glaucoma Intervention Study.青光眼进展干预研究中青光眼性视野进展的预测因素。
Ophthalmology. 2004 Sep;111(9):1627-35. doi: 10.1016/j.ophtha.2004.02.017.
9
Clinical agreement among glaucoma experts in the detection of glaucomatous changes of the optic disk using simultaneous stereoscopic photographs.青光眼专家使用同步立体照片检测视盘青光眼性改变的临床一致性。
Am J Ophthalmol. 2003 Nov;136(5):949-50. doi: 10.1016/s0002-9394(03)00480-x.
10
Comparison of different methods for detecting glaucomatous visual field progression.检测青光眼视野进展的不同方法比较。
Invest Ophthalmol Vis Sci. 2003 Sep;44(9):3873-9. doi: 10.1167/iovs.02-1171.