自我报告的基于症状的决策模型有助于在结肠镜检查前排除CRC风险较低的门诊病例
Zhe Luan1, Fangfang Liu2, Li Zhang3
1Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
一个新的结直肠癌 (CRC) 模型利用患者的症状在门诊机构有效识别高风险病例. 这个用户友好的工具准确排除了低风险患者,提高了诊断效率.
科学领域:
- 在瘤学瘤学.
- 诊断医学 诊断医学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 在有症状的门诊患者中诊断结肠直肠癌 (CRC) 存在挑战,特别是排除低风险个体.
- 需要有效的工具来帮助在怀疑结肠直肠癌的门诊环境中做出决策.
研究的目的:
- 在门诊场景中开发和验证结直肠癌 (CRC) 基于症状的自我报告决策模型.
- 评估这一新型CRC模型的临床实用性和用户体验.
主要方法:
- 使用60个自我报告的症状参数从8233个症状门诊病例中构建了一个决策模型.
- 使用内部和外部验证队列来评估模型的歧视力 (C指数,校准图).
- 通过医生反和患者满意度调查来评估临床效用和用户体验.
主要成果:
- 九个关键症状参数被确定为结直肠癌 (CRC) 模型的有价值预测因素.
- 该模型在验证队列中展示了足够的歧视力,并成功识别了所有CRC病例.
- 医生发现该模型易于使用,患者满意度很高 (99.9%),并没有通过该模型识别的低风险患者被诊断为CRC.
结论:
- 一个简单的,用户友好的,自我报告的基于结直肠癌 (CRC) 症状的模型已经开发和验证.
- CRC模型在快速门诊决策和临床实用性方面表现强.
- 这种模型有效地帮助排除低风险门诊病例,优化诊断途径.
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