甲状腺眼病患者静脉注射糖皮质激素治疗反应的预测模型。

IF 3.5 2区 医学 Q2 ENDOCRINOLOGY & METABOLISM European Thyroid Journal Pub Date : 2024-08-26 Print Date: 2024-08-01 DOI:10.1530/ETJ-24-0122
Haiyang Zhang, Shuo Wu, Shuyu Hu, Xianqun Fan, Xuefei Song, Tienan Feng, Huifang Zhou
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引用次数: 0

摘要

背景:甲状腺眼病(TED)是一种自身免疫性眼眶疾病,静脉注射糖皮质激素(IVGC)是一线治疗方法。由于不确定的反应率和可能的副作用,人们开发了各种预测模型来预测静脉糖皮质激素治疗的结果:方法:在PubMed、Embase和Web of Science数据库中进行了全面检索。数据提取包括出版物详情、预测模型内容和性能。使用 R 软件进行统计分析,包括异质性评估、发表偏倚、亚组分析和敏感性分析。森林图用于结果可视化:在符合条件的 12 项研究中,提取了 47 个预测模型。所有纳入的研究均显示出低至中度的偏倚风险。这些模型的集合接收器工作特征曲线下面积(AUC)以及灵敏度和特异度的总和分别为 0.81、0.75 和 0.79。鉴于存在异质性,研究人员进行了多重元回归和亚组分析,结果显示标记物和建模类型可能是导致异质性的原因(P < 0.001)。值得注意的是,单独的成像指标(AUC = 0.81)或临床特征与其他标记物相结合(AUC = 0.87),结合多变量回归(AUC = 0.84)或放射组学分析(AUC = 0.91),都能产生稳健可靠的预测结果:这项荟萃分析全面回顾了TED中IVGC治疗反应的预测模型。结论:这项荟萃分析全面回顾了TED患者IVGC治疗反应的预测模型,强调将临床特征与实验室或影像学指标相结合,并采用多元回归或放射组学分析等先进技术,可显著提高预测效果。我们的研究结果提供了有价值的见解,可指导今后对TED IVGC疗法预测模型的研究。
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Prediction models of intravenous glucocorticoids therapy response in thyroid eye disease.

Background: Thyroid eye disease (TED) is an autoimmune orbital disease, with intravenous glucocorticoid (IVGC) therapy as the first-line treatment. Due to uncertain response rates and possible side effects, various prediction models have been developed to predict IVGC therapy outcomes.

Methods: A thorough search was conducted in PubMed, Embase, and Web of Science databases. Data extraction included publication details, prediction model content, and performance. Statistical analysis was performed using R software, including heterogeneity evaluation, publication bias, subgroup analysis, and sensitivity analysis. Forest plots were utilized for result visualization.

Results: Of the 12 eligible studies, 47 prediction models were extracted. All included studies exhibited a low-to-moderate risk of bias. The pooled area under the receiver operating characteristic curve (AUC) and the combined sensitivity and specificity for the models were 0.81, 0.75, and 0.79, respectively. In view of heterogeneity, multiple meta-regression and subgroup analysis were conducted, which showed that marker and modeling types may be the possible causes of heterogeneity (P < 0.001). Notably, imaging metrics alone (AUC = 0.81) or clinical characteristics combined with other markers (AUC = 0.87), incorporating with multivariate regression (AUC = 0.84) or radiomics analysis (AUC = 0.91), yielded robust and reliable prediction outcomes.

Conclusion: This meta-analysis comprehensively reviews the predictive models for IVGC therapy response in TED. It underscores that integrating clinical characteristics with laboratory or imaging indicators and employing advanced techniques like multivariate regression or radiomics analysis significantly enhance the efficacy of prediction. Our research findings offer valuable insights that can guide future studies on prediction models for IVGC therapy in TED.

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来源期刊
European Thyroid Journal
European Thyroid Journal Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
6.70
自引率
2.10%
发文量
156
期刊介绍: The ''European Thyroid Journal'' publishes papers reporting original research in basic, translational and clinical thyroidology. Original contributions cover all aspects of the field, from molecular and cellular biology to immunology and biochemistry, from physiology to pathology, and from pediatric to adult thyroid diseases with a special focus on thyroid cancer. Readers also benefit from reviews by noted experts, which highlight especially active areas of current research. The journal will further publish formal guidelines in the field, produced and endorsed by the European Thyroid Association.
期刊最新文献
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