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Risk factors and risk prediction models for colorectal cancer metastasis and recurrence: an umbrella review of systematic reviews and meta-analyses of observational studies

机译:结肠直肠癌转移和复发的风险因素及风险预测模型:伞形审查对观察研究的系统评价及荟萃分析

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There is a clear need for systematic appraisal of models/factors predicting colorectal cancer (CRC) metastasis and recurrence because clinical decisions about adjuvant treatment are taken on the basis of such variables. We conducted an umbrella review of all systematic reviews of observational studies (with/without meta-analysis) that evaluated risk factors of CRC metastasis and recurrence. We also generated an updated synthesis of risk prediction models for CRC metastasis and recurrence. We cross-assessed individual risk factors and risk prediction models. Thirty-four risk factors for CRC metastasis and 17 for recurrence were investigated. Twelve of 34 and 4/17 risk factors with p??0.05 were estimated to change the odds of the outcome at least 3-fold. Only one risk factor (vascular invasion for lymph node metastasis [LNM] in pT1 CRC) presented convincing evidence. We identified 24 CRC risk prediction models. Across 12 metastasis models, six out of 27 unique predictors were assessed in the umbrella review and four of them changed the odds of the outcome at least 3-fold. Across 12 recurrence models, five out of 25 unique predictors were assessed in the umbrella review and only one changed the odds of the outcome at least 3-fold. This study provides an in-depth evaluation and cross-assessment of 51 risk factors and 24 prediction models. Our findings suggest that a minority of influential risk factors are employed in prediction models, which indicates the need for a more rigorous and systematic model construction process following evidence-based methods.
机译:有明确需要预测结直肠癌(CRC)转移和复发的模型/因素的系统评估,因为基于此类变量采取了关于佐剂治疗的临床决策。我们对观察性研究的所有系统审查进行了伞综述(具有/不含Meta-Analysis),评估了CRC转移和复发的危险因素。我们还为CRC转移和复发产生了更新的风险预测模型的合成。我们交叉评估个人风险因素和风险预测模型。调查了CRC转移的34​​个危险因素和17例进行复发。估计具有p?<〜0.05的34和17个风险因素,以改变成果的几率至少3倍。只有一种危险因素(PT1 CRC中淋巴结转移[LNM]的血管侵袭)呈现了令人信服的证据。我们确定了24个CRC风险预测模型。在12个转移模型中,在伞形审查中评估了27个独特的预测因子中的六个,其中四个是至少3倍的结果改变了结果的几率。在12个复发模型中,在伞审查中评估了25个独特预测因子中的五个,并且只有一个改变了成果的几率至少3倍。本研究提供了51个风险因素和24个预测模型的深入评估和交叉评估。我们的研究结果表明,在预测模型中采用了少数影响危险因素,这表明需要采用更严格和系统的模型施工过程,以便在基于循证的方法。

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