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find Author "WANG Jingyi" 2 results
  • The Analysis of Ultrasound-guided Aspiration in Treating 180 Cases of Ovarian Cysts

    【摘要】 目的 探讨超声引导介入治疗卵巢囊肿的经验和方法。 方法 回顾性分析2004年8月-2009年12月超声引导下治疗卵巢囊肿180例,抽出囊肿内液后注入无水乙醇,观察临床疗效。 结果 179例(99.4%)治疗成功,无严重并发症发生,术后2年随访,3例(1.7%)复发。 结论 超声引导介入治疗卵巢囊肿疗效满意。【Abstract】 Objective To investigate the experiences and methods of interventional ultrasound treatment of ovarian cysts. Methods We retrospectively analyze the clinical data of 180 patients with ovarian cysts undergoing ultrasound-guided treatment. The clinical effect was observed after alcohol sclerosis therapy. Results A total of 179 patients (99.4%) were successfully treated by the ultrasound-guided aspiration without severe significant complications. Three patients (1.7%) recurred during the 24-month follow-up. Conclusion The clinical effect of ultrasound-guided aspiration and alcohol sclerosis was satisfactory.

    Release date:2016-09-08 09:26 Export PDF Favorites Scan
  • Interpretation of the step-by-step guide for developing clinical prediction models in 2024

    Clinical prediction models refer to models that can predict the probability of the occurrence of a certain clinical outcome event of the research objects, and they have important value in fields such as disease risk stratification, prognosis prediction, and precision medical decision - making. To further standardize this methodology, in 2024, an international multidisciplinary expert group composed of institutions from Switzerland, the Netherlands, the United Kingdom, and others, based on the TRIPOD statement and the PROBAST assessment tool, jointly released the "Step - by - step guide for developing clinical prediction models". This guide systematically constructs 13 steps: defining the objective, creating a team, conducting a literature review, developing a protocol, choosing to develop a new model or update an existing model, defining the outcome measure, identifying candidate predictors, collecting and checking data, determining the sample size, handling missing data, fitting the prediction model, evaluating the performance of the prediction model, determining the final model, performing decision curve analysis, evaluating the predictive ability of individual predictors, writing a report and publishing the results. This paper deeply analyzes the steps of this guide, aiming to provide a reference for clinical researchers.

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