Suppr超能文献

光学相干断层扫描与立体眼底照相或生物显微镜检查在诊断糖尿病性黄斑水肿中的应用:一项系统评价

Optical coherence tomography versus stereoscopic fundus photography or biomicroscopy for diagnosing diabetic macular edema: a systematic review.

作者信息

Virgili Gianni, Menchini Francesca, Dimastrogiovanni Andrea F, Rapizzi Emilio, Menchini Ugo, Bandello Francesco, Chiodini Raffaella Gortana

机构信息

Department of Ophthalmology, University of Florence, Florence, Italy.

出版信息

Invest Ophthalmol Vis Sci. 2007 Nov;48(11):4963-73. doi: 10.1167/iovs.06-1472.

Abstract

PURPOSE

To review systematically the sensitivity and specificity of optical coherence tomography (OCT) for diagnosing macular edema attributable to diabetic retinopathy compared with well-established gold standard tests such as fundus stereophotography or contact and noncontact fundus biomicroscopy.

METHODS

Medline and Embase were searched electronically and six major ophthalmic journals from 1998 to 2006 were hand searched. Two reviewers independently assessed trial searches, studied quality with the QUADAS (Quality Assessment of Diagnostic Accuracy Studies) checklist, and extracted data. The target disease was clinically significant macular edema (CSME) according to Early Treatment of Diabetic Retinopathy Study (ETDRS) criteria. A bivariate model was used to obtain summary estimates of sensitivity and specificity and fit a summary receiver operating characteristic (ROC) curve.

RESULTS

Fifteen studies were considered eligible. These studies were of good quality for most items of the QUADAS checklist, but most studies did not report masking of examiners and did not describe how withdrawals and undetermined results were treated. Seven studies included healthy control subjects, which could have artificially enhanced OCT diagnostic performance. All but one study included both eyes of the patients without taking into account the within-subject correlation in statistical analyses. Sensitivity and specificity data could be extracted from only 6 of 15 studies, because appropriate cross tabulations of index and reference tests were not reported by the others. In five of these studies, central retinal thickness cutoffs between 230 and 300 microm were adopted to define abnormal OCT results and considered the central type of CSME only, whereas in one study a complex algorithm accounting for extrafoveal CSME was used. The design of one study was case-control and was excluded from the meta-analysis. The expected operating point on the summary ROC, a pooled estimate of all studies, corresponded to a sensitivity of 0.79 (95% CI: 0.71-0.86), a specificity of 0.88 (95% CI: 0.80-0.93), a positive likelihood ratio of 6.5 (95% CI: 4.0-10.7), and a negative likelihood ratio of 0.24 (95% CI: 0.17-0.32). These values suggest a good overall performance of OCT for diagnosing CSME.

CONCLUSIONS

OCT performs well compared with fundus stereophotography or biomicroscopy to diagnose diabetic macular edema. The quality of reporting of such studies should be improved, and authors should present cross tabulations of index and reference test results. Data adjusted for within-subject correlation should also be provided, although this issue represents a challenge for systematic reviewers.

摘要

目的

与公认的金标准检查(如眼底立体摄影或接触式及非接触式眼底生物显微镜检查)相比,系统回顾光学相干断层扫描(OCT)诊断糖尿病性视网膜病变所致黄斑水肿的敏感性和特异性。

方法

通过电子检索Medline和Embase,并手工检索1998年至2006年的六种主要眼科杂志。两名研究者独立评估试验检索结果,使用QUADAS(诊断准确性研究质量评估)清单评估研究质量并提取数据。根据糖尿病视网膜病变早期治疗研究(ETDRS)标准,目标疾病为临床显著性黄斑水肿(CSME)。采用双变量模型获得敏感性和特异性的汇总估计值,并拟合汇总受试者工作特征(ROC)曲线。

结果

15项研究被认为符合要求。这些研究在QUADAS清单的大多数项目上质量良好,但大多数研究未报告检查者的盲法情况,也未描述如何处理退出研究和不确定结果。7项研究纳入了健康对照受试者,这可能人为提高了OCT的诊断性能。除一项研究外,所有研究均纳入了患者的双眼,且在统计分析中未考虑受试者内相关性。15项研究中只有6项能够提取敏感性和特异性数据,因为其他研究未报告指标测试和参考测试的适当交叉表。在其中5项研究中,采用230至300微米之间的中心视网膜厚度截断值来定义异常OCT结果,且仅考虑中心型CSME,而在一项研究中使用了一种考虑黄斑外CSME的复杂算法。一项研究的设计为病例对照研究,被排除在荟萃分析之外。汇总ROC上的预期操作点,即所有研究的合并估计值,对应的敏感性为0.79(95%CI:0.71 - 0.86),特异性为0.88(95%CI:0.80 - 0.93),阳性似然比为6.5(95%CI:4.0 - 10.7),阴性似然比为0.24(95%CI:0.17 - 0.32)。这些值表明OCT在诊断CSME方面总体表现良好。

结论

与眼底立体摄影或生物显微镜检查相比,OCT在诊断糖尿病性黄斑水肿方面表现良好。此类研究的报告质量应予以提高,作者应提供指标测试和参考测试结果的交叉表。还应提供针对受试者内相关性进行调整的数据,尽管这一问题对系统评价者来说是一个挑战。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验