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Predicting cancer prognosis using interactive online tools: A systematic review and implications for cancer care providers

机译:使用交互式在线工具预测癌症的预后:对癌症护理提供者的系统评价和启示

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摘要

Cancer prognosis is of keen interest for cancer patients, their caregivers and providers. Prognostic tools have been developed to guide patient-physician communication and decision-making. Given the proliferation of prognostic tools, it is timely to review existing online cancer prognostic tools and discuss implications for their use in clinical settings.Using a systematic approach, we searched the Internet, Medline, and consulted with experts to identify existing online prognostic tools. Each was reviewed for content and format.Twenty-two prognostic tools addressing 89 different cancers were identified. Tools primarily focused on prostate (n=11), colorectal (n=10), breast (n=8), and melanoma (n=6), though at least one tool was identified for most malignancies. The input variables for the tools included cancer characteristics (n=22), patient characteristics (n=18), and comorbidities (n=9). Effect of therapy on prognosis was included in 15 tools. The most common predicted outcome was cancer specific survival/mortality (n=17). Only a few tools (n=4) suggested patients as potential target users.A comprehensive repository of online prognostic tools was created to understand the state-of-the-art in prognostic tool availability and characteristics. Use of these tools may support communication and understanding about cancer prognosis. Dissemination, testing, refinement of existing, and development of new tools under different conditions are needed.
机译:癌症患者,其护理人员和提供者对癌症的预后非常感兴趣。已经开发了预后工具来指导患者与医生的沟通和决策。鉴于预后工具的泛滥,现在应该及时审查现有的在线癌症预后工具并讨论其在临床环境中的应用意义。使用系统的方法,我们在Internet,Medline中进行了搜索,并咨询专家以识别现有的在线预后工具。每种都经过了内容和格式的审查。确定了针对89种不同癌症的22种预后工具。尽管主要针对前列腺癌(n = 11),结直肠癌(n = 10),乳腺癌(n = 8)和黑色素瘤(n = 6),但主要针对前列腺癌的工具。该工具的输入变量包括癌症特征(n = 22),患者特征(n = 18)和合并症(n = 9)。 15种工具包括治疗对预后的影响。最常见的预测结果是癌症特异性生存/死亡率(n = 17)。只有少数工具(n = 4)建议患者作为潜在的目标用户。创建了在线预后工具的综合资料库,以了解最新的预后工具可用性和特征。这些工具的使用可以支持有关癌症预后的交流和理解。需要在不同条件下传播,测试,完善现有工具并开发新工具。

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