Suppr超能文献

血清CA-125对IOTA简单规则的诊断附加值及实用联合预测模型(IOTA SR X CA-125)的推导

Diagnostic Added-Value of Serum CA-125 on the IOTA Simple Rules and Derivation of Practical Combined Prediction Models (IOTA SR X CA-125).

作者信息

Phinyo Phichayut, Patumanond Jayanton, Saenrungmuaeng Panprapha, Chirdchim Watcharin, Pipanmekaporn Tanyong, Tantraworasin Apichat, Tongsong Theera, Tantipalakorn Charuwan

机构信息

Department of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.

Center for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.

出版信息

Diagnostics (Basel). 2021 Jan 26;11(2):173. doi: 10.3390/diagnostics11020173.

Abstract

BACKGROUND

This study aimed to evaluate the diagnostic added-value of serum CA-125 to the International Ovarian Tumor Analysis (IOTA) Simple Rules in order to facilitate differentiation between malignant and benign ovarian tumors before surgery.

METHODS

A secondary analysis of a cross-sectional cohort of women scheduled for surgery in Maharaj Nakorn Chiang Mai Hospital between April 2010 and March 2018 was carried out. Demographic and clinical data were prospectively collected. Histopathologic diagnosis was used as the reference standard. Logistic regression was used for development of the model. Evaluation of the diagnostic added-value was based on the increment of the area under the receiver operating characteristic curve (AuROC).

RESULTS

One hundred and forty-five women (30.3%) out of a total of 479 with adnexal masses had malignant ovarian tumors. The model that included information from the IOTA Simple Rules and serum CA-125 was significantly more superior to the model that used only information from the IOTA Simple Rules (AuROC 0.95 vs. 0.89, < 0.001 for pre-menopause and AuROC 0.98 vs 0.83, < 0.001 for post-menopause).

CONCLUSIONS

The IOTA SR X CA-125 model showed high discriminative ability and is potentially useful as a decision tool for guiding patient referrals to oncologic specialists.

摘要

背景

本研究旨在评估血清CA - 125对国际卵巢肿瘤分析(IOTA)简易规则的诊断附加值,以便在手术前促进恶性和良性卵巢肿瘤的鉴别。

方法

对2010年4月至2018年3月在清迈玛哈拉吉医院计划进行手术的女性横断面队列进行二次分析。前瞻性收集人口统计学和临床数据。组织病理学诊断用作参考标准。采用逻辑回归建立模型。基于受试者工作特征曲线下面积(AuROC)的增量评估诊断附加值。

结果

在总共479例附件包块患者中,145例(30.3%)患有恶性卵巢肿瘤。包含IOTA简易规则和血清CA - 125信息的模型明显优于仅使用IOTA简易规则信息的模型(绝经前AuROC为0.95对0.89,<0.001;绝经后AuROC为0.98对0.83,<0.001)。

结论

IOTA SR X CA - 125模型显示出较高的鉴别能力,有可能作为指导患者转诊至肿瘤专科医生的决策工具。

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