• 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

相似文献

1
Corneal Confocal Microscopy Predicts the Development of Diabetic Neuropathy: A Longitudinal Diagnostic Multinational Consortium Study.角膜共焦显微镜预测糖尿病神经病变的发展:一项纵向诊断多国联盟研究。
Diabetes Care. 2021 Sep;44(9):2107-2114. doi: 10.2337/dc21-0476. Epub 2021 Jul 1.
2
Corneal confocal microscopy predicts 4-year incident peripheral neuropathy in type 1 diabetes.角膜共焦显微镜可预测 1 型糖尿病患者 4 年内发生周围神经病变。
Diabetes Care. 2015 Apr;38(4):671-5. doi: 10.2337/dc14-2114. Epub 2015 Jan 8.
3
A Comparative Study on the Diagnostic Utility of Corneal Confocal Microscopy and Tear Neuromediator Levels in Diabetic Peripheral Neuropathy.角膜共焦显微镜与泪神经递质水平在糖尿病周围神经病变诊断中的对比研究。
Curr Eye Res. 2020 Aug;45(8):921-930. doi: 10.1080/02713683.2019.1705984. Epub 2019 Dec 26.
4
The Inferior Whorl For Detecting Diabetic Peripheral Neuropathy Using Corneal Confocal Microscopy.用于通过角膜共焦显微镜检测糖尿病周围神经病变的下旋轮。
Invest Ophthalmol Vis Sci. 2015 Apr;56(4):2498-504. doi: 10.1167/iovs.14-15919.
5
Implementation of corneal confocal microscopy for screening and early detection of diabetic neuropathy in primary care alongside retinopathy screening: Results from a feasibility study.角膜共焦显微镜在初级保健中与视网膜筛查同时进行,用于筛查和早期发现糖尿病神经病变:一项可行性研究的结果。
Front Endocrinol (Lausanne). 2022 Oct 12;13:891575. doi: 10.3389/fendo.2022.891575. eCollection 2022.
6
Comprehensive assessment of ocular parameters for identifying diagnostic indicators of diabetic peripheral neuropathy.全面评估眼部参数,以确定糖尿病周围神经病变的诊断指标。
Acta Diabetol. 2024 Oct;61(10):1283-1291. doi: 10.1007/s00592-024-02299-w. Epub 2024 May 23.
7
Corneal confocal microscopy as a tool for detecting diabetic polyneuropathy in a cohort with screen-detected type 2 diabetes: ADDITION-Denmark.角膜共焦显微镜作为一种工具,用于在通过筛查发现的 2 型糖尿病队列中检测糖尿病多发性神经病:ADDITION-丹麦。
J Diabetes Complications. 2018 Dec;32(12):1153-1159. doi: 10.1016/j.jdiacomp.2018.09.016. Epub 2018 Oct 1.
8
Utility of Assessing Nerve Morphology in Central Cornea Versus Whorl Area for Diagnosing Diabetic Peripheral Neuropathy.评估中央角膜与涡状区域神经形态在诊断糖尿病周围神经病变中的效用。
Cornea. 2015 Jul;34(7):756-61. doi: 10.1097/ICO.0000000000000447.
9
Corneal confocal microscopy for identification of diabetic sensorimotor polyneuropathy: a pooled multinational consortium study.角膜共焦显微镜在识别糖尿病感觉运动多发性神经病中的应用:一项多国家联合研究。
Diabetologia. 2018 Aug;61(8):1856-1861. doi: 10.1007/s00125-018-4653-8. Epub 2018 Jun 4.
10
Diagnosis of Neuropathy and Risk Factors for Corneal Nerve Loss in Type 1 and Type 2 Diabetes: A Corneal Confocal Microscopy Study.1型和2型糖尿病患者神经病变的诊断及角膜神经损伤的危险因素:一项角膜共焦显微镜研究
Diabetes Care. 2021 Jan;44(1):150-156. doi: 10.2337/dc20-1482. Epub 2020 Nov 3.

引用本文的文献

1
Methods for the evaluation of corneal nerve fibres in diabetes mellitus by in vivo confocal microscopy: a scoping review.通过体内共聚焦显微镜评估糖尿病患者角膜神经纤维的方法:一项范围综述
BMJ Open. 2025 Sep 4;15(9):e098294. doi: 10.1136/bmjopen-2024-098294.
2
Cornea Nerves Can Identify Different Types of Parkinson's Disease.角膜神经可识别不同类型的帕金森病。
Invest Ophthalmol Vis Sci. 2025 Jun 2;66(6):21. doi: 10.1167/iovs.66.6.21.
3
Predictors of incident diabetic peripheral neuropathy: a systematic review of longitudinal studies in patients with diabetes mellitus.糖尿病周围神经病变发病的预测因素:对糖尿病患者纵向研究的系统评价
Rev Endocr Metab Disord. 2025 Jun 3. doi: 10.1007/s11154-025-09973-6.
4
Peripheral Neuropathy Symptoms and Ocular Surface Lesions in Patients with Type 2 Diabetes Mellitus and Dry Eye: A Clinical Correlational Study.2型糖尿病合并干眼症患者的周围神经病变症状与眼表病变:一项临床相关性研究
Ophthalmol Ther. 2025 May 15. doi: 10.1007/s40123-025-01150-x.
5
Cranial Nerve Affection in Adolescents with Type 1 Diabetes Assessed by Corneal Confocal Microscopy, Smell and Taste Tests.通过角膜共聚焦显微镜、嗅觉和味觉测试评估 1 型糖尿病青少年的脑神经病变
Pediatr Diabetes. 2023 Mar 31;2023:2709361. doi: 10.1155/2023/2709361. eCollection 2023.
6
Development of a transformer-based deep learning algorithm for diabetic peripheral neuropathy classification using corneal confocal microscopy images.基于变压器的深度学习算法用于利用角膜共聚焦显微镜图像进行糖尿病周围神经病变分类的开发。
Front Cell Dev Biol. 2024 Oct 14;12:1484329. doi: 10.3389/fcell.2024.1484329. eCollection 2024.
7
Glucose-lowering medication associated with weight loss may limit the progression of diabetic neuropathy in type 2 diabetes.与体重减轻相关的降糖药物可能会限制2型糖尿病患者糖尿病神经病变的进展。
J Peripher Nerv Syst. 2024 Dec;29(4):406-414. doi: 10.1111/jns.12664. Epub 2024 Oct 22.
8
Corneal nerve loss in adolescents with obesity and acanthosis nigricans.青少年肥胖伴黑棘皮病患者的角膜神经丢失。
PLoS One. 2024 Oct 21;19(10):e0309761. doi: 10.1371/journal.pone.0309761. eCollection 2024.
9
Sustained corneal nerve loss predicts the development of diabetic neuropathy in type 2 diabetes.持续性角膜神经损伤预示2型糖尿病患者糖尿病神经病变的发生。
Front Neurosci. 2024 Jul 2;18:1393105. doi: 10.3389/fnins.2024.1393105. eCollection 2024.
10
Circulating netrin-1 levels are reduced and related to corneal nerve fiber loss in patients with diabetic neuropathy.糖尿病性神经病变患者循环中netrin-1水平降低,且与角膜神经纤维丢失有关。
J Diabetes Investig. 2024 Aug;15(8):1068-1074. doi: 10.1111/jdi.14197. Epub 2024 May 9.

本文引用的文献

1
Corneal confocal microscopy compared with quantitative sensory testing and nerve conduction for diagnosing and stratifying the severity of diabetic peripheral neuropathy.角膜共焦显微镜检查与定量感觉测试及神经传导检查在诊断和分层糖尿病性周围神经病变严重程度方面的比较
BMJ Open Diabetes Res Care. 2020 Dec;8(2). doi: 10.1136/bmjdrc-2020-001801.
2
Diagnosis of Neuropathy and Risk Factors for Corneal Nerve Loss in Type 1 and Type 2 Diabetes: A Corneal Confocal Microscopy Study.1型和2型糖尿病患者神经病变的诊断及角膜神经损伤的危险因素:一项角膜共焦显微镜研究
Diabetes Care. 2021 Jan;44(1):150-156. doi: 10.2337/dc20-1482. Epub 2020 Nov 3.
3
Improvements in Diabetic Neuropathy and Nephropathy After Bariatric Surgery: a Prospective Cohort Study.减重手术后糖尿病神经病变和肾病的改善:一项前瞻性队列研究。
Obes Surg. 2021 Feb;31(2):554-563. doi: 10.1007/s11695-020-05052-8. Epub 2020 Oct 26.
4
Effect of treatment with exenatide and pioglitazone or basal-bolus insulin on diabetic neuropathy: a substudy of the Qatar Study.艾塞那肽和吡格列酮或基础-餐时胰岛素治疗对糖尿病周围神经病变的影响:卡塔尔研究的一个子研究。
BMJ Open Diabetes Res Care. 2020 Jun;8(1). doi: 10.1136/bmjdrc-2020-001420.
5
Diabetic Neuropathy Is Characterized by Progressive Corneal Nerve Fiber Loss in the Central and Inferior Whorl Regions.糖尿病性神经病的特征是中央和下象限区域的角膜神经纤维渐进性丧失。
Invest Ophthalmol Vis Sci. 2020 Mar 9;61(3):48. doi: 10.1167/iovs.61.3.48.
6
Rapid Corneal Nerve Fiber Loss: A Marker of Diabetic Neuropathy Onset and Progression.快速角膜神经纤维损失:糖尿病神经病变发病和进展的标志物。
Diabetes Care. 2020 Aug;43(8):1829-1835. doi: 10.2337/dc19-0951. Epub 2020 Mar 5.
7
Early nerve fibre regeneration in individuals with type 1 diabetes after simultaneous pancreas and kidney transplantation.1 型糖尿病患者胰肾联合移植后早期神经纤维再生。
Diabetologia. 2019 Aug;62(8):1478-1487. doi: 10.1007/s00125-019-4897-y. Epub 2019 Jun 7.
8
A Tutorial on Evaluating the Time-Varying Discrimination Accuracy of Survival Models Used in Dynamic Decision Making.用于动态决策的生存模型的时变判别精度评估教程。
Med Decis Making. 2018 Nov;38(8):904-916. doi: 10.1177/0272989X18801312. Epub 2018 Oct 14.
9
Corneal confocal microscopy as a tool for detecting diabetic polyneuropathy in a cohort with screen-detected type 2 diabetes: ADDITION-Denmark.角膜共焦显微镜作为一种工具,用于在通过筛查发现的 2 型糖尿病队列中检测糖尿病多发性神经病:ADDITION-丹麦。
J Diabetes Complications. 2018 Dec;32(12):1153-1159. doi: 10.1016/j.jdiacomp.2018.09.016. Epub 2018 Oct 1.
10
Corneal confocal microscopy for identification of diabetic sensorimotor polyneuropathy: a pooled multinational consortium study.角膜共焦显微镜在识别糖尿病感觉运动多发性神经病中的应用:一项多国家联合研究。
Diabetologia. 2018 Aug;61(8):1856-1861. doi: 10.1007/s00125-018-4653-8. Epub 2018 Jun 4.

角膜共焦显微镜预测糖尿病神经病变的发展:一项纵向诊断多国联盟研究。

Corneal Confocal Microscopy Predicts the Development of Diabetic Neuropathy: A Longitudinal Diagnostic Multinational Consortium Study.

机构信息

Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada

Division of Endocrinology and Metabolism, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.

出版信息

Diabetes Care. 2021 Sep;44(9):2107-2114. doi: 10.2337/dc21-0476. Epub 2021 Jul 1.

DOI:10.2337/dc21-0476
PMID:34210657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8740920/
Abstract

OBJECTIVE

Corneal nerve fiber length (CNFL) has been shown in research studies to identify diabetic peripheral neuropathy (DPN). In this longitudinal diagnostic study, we assessed the ability of CNFL to predict the development of DPN.

RESEARCH DESIGN AND METHODS

From a multinational cohort of 998 participants with type 1 and type 2 diabetes, we studied the subset of 261 participants who were free of DPN at baseline and completed at least 4 years of follow-up for incident DPN. The predictive validity of CNFL for the development of DPN was determined using time-dependent receiver operating characteristic (ROC) curves.

RESULTS

A total of 203 participants had type 1 and 58 had type 2 diabetes. Mean follow-up time was 5.8 years (interquartile range 4.2-7.0). New-onset DPN occurred in 60 participants (23%; 4.29 events per 100 person-years). Participants who developed DPN were older and had a higher prevalence of type 2 diabetes, higher BMI, and longer duration of diabetes. The baseline electrophysiology and corneal confocal microscopy parameters were in the normal range but were all significantly lower in participants who developed DPN. The time-dependent area under the ROC curve for CNFL ranged between 0.61 and 0.69 for years 1-5 and was 0.80 at year 6. The optimal diagnostic threshold for a baseline CNFL of 14.1 mm/mm was associated with 67% sensitivity, 71% specificity, and a hazard ratio of 2.95 (95% CI 1.70-5.11; < 0.001) for new-onset DPN.

CONCLUSIONS

CNFL showed good predictive validity for identifying patients at higher risk of developing DPN ∼6 years in the future.

摘要

目的

研究表明,角膜神经纤维长度(CNFL)可用于识别糖尿病周围神经病变(DPN)。在这项纵向诊断研究中,我们评估了 CNFL 预测 DPN 发展的能力。

研究设计和方法

我们对来自 998 名 1 型和 2 型糖尿病患者的多国队列进行了研究,其中 261 名参与者在基线时无 DPN 且至少完成了 4 年的随访以发生 DPN。使用时间依赖性接受者操作特征(ROC)曲线确定 CNFL 对 DPN 发展的预测有效性。

结果

共有 203 名参与者患有 1 型糖尿病,58 名参与者患有 2 型糖尿病。平均随访时间为 5.8 年(四分位间距 4.2-7.0)。60 名参与者(23%)发生新诊断的 DPN(4.29 例/100 人年)。发生 DPN 的参与者年龄较大,2 型糖尿病患病率较高,BMI 较高,糖尿病病程较长。基线电生理学和角膜共聚焦显微镜参数均在正常范围内,但在发生 DPN 的参与者中均显著降低。CNFL 的时间依赖性 ROC 曲线下面积在第 1 至 5 年之间在 0.61 至 0.69 之间,在第 6 年时为 0.80。基线 CNFL 为 14.1mm/mm 时的最佳诊断阈值与 67%的敏感性、71%的特异性和 2.95 的风险比(95%CI 1.70-5.11;<0.001)相关,提示发生新诊断的 DPN 的风险较高。

结论

CNFL 对未来约 6 年内发生 DPN 的高危患者具有良好的预测有效性。