肿瘤家族史收集在初级保健中的临床应用。

Brenda Wilson, Nadeem Qureshi, Julian Little, Pasqualina Santaguida, June Carroll, Judith Allanson, Homa Keshavarz, Parminder Raina
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引用次数: 0

摘要

目的:本系统综述旨在评估在未选择人群中:(1)基于家族史(FHx)的模型在预测癌症风险方面的表现;(2)与现有癌症预防干预措施相关的总体收益和危害;(3)基于fhx的风险信息对采取预防性干预措施的影响;(4)收集癌症FHx的潜在危害。数据来源:MEDLINE, EMBASE, CINAHL, Cochrane Central, Cochrane Database of Systematic Reviews,和PsycINFO检索自1990年至2008年6月。从2002年开始对癌症指南和建议进行了检索,从2003年到2008年6月进行了系统评价。评价方法:采用标准的系统评价方法。入选标准包括评估乳腺癌、结直肠癌、卵巢癌或前列腺癌的英文研究。研究设计仅限于系统评价、实验和诊断类型。研究人群仅限于那些没有被选择有癌症风险的人群。干预措施仅限于收集癌症FHx;乳腺癌、结直肠癌、卵巢癌和前列腺癌的一级和/或二级预防干预。结果:模型的准确性。七项符合条件的研究基于Gail模型和哈佛癌症风险指数对系统进行了评估。在个人层面上,没有评估显示出超过适度的歧视性准确性。没有发现与卵巢癌或前列腺癌风险相关的评估。预防性干预措施的有效性。在29篇符合条件的系统综述中,有7篇没有发现评估干预措施的实验研究。在剩下的22项研究中,没有一项涉及卵巢癌的预防。这些综述通常基于有限数量的随机或对照临床试验。没有证据支持或反驳某些化学预防干预措施的使用,有一些证据表明乳房x光检查和粪便潜血检查是有效的。采取干预措施。三项研究评估了基于fhx的风险信息对乳腺癌临床预防干预的影响。关于基于fhx的风险信息对预防行为改变的影响,证据还不足以得出结论。服用FHx的潜在危害。一项非对照试验评估了基于fhx的乳腺癌风险信息对心理结果的影响,没有发现显著危害的证据。结论:我们的综述表明,用于解决所有四个研究问题的证据基础非常有限:1)对癌症风险预测模型的少数评估并不表明有用的个人预测准确性;2)原发性和继发性癌症预防的实验证据基础非常有限;3)基于fhx的风险评估对预防行为的影响证据不足;4)基于fhx的个性化风险评估是否直接导致不良后果的证据不足。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical utility of cancer family history collection in primary care.

Objectives: This systematic review aimed to evaluate, within unselected populations: the (1) performance of family history (FHx)-based models in predicting cancer risk; (2) overall benefits and harms associated with established cancer prevention interventions; (3) impact of FHx-based risk information on the uptake of preventive interventions; and (4) potential for harms associated with collecting cancer FHx.

Data sources: MEDLINE, EMBASE, CINAHL, Cochrane Central, Cochrane Database of Systematic Reviews, and PsycINFO were searched from 1990 to June 2008 inclusive. Cancer guidelines and recommendations were searched from 2002 forward and systematic reviews from 2003 to June 2008.

Review methods: Standard systematic review methodology was employed. Eligibility criteria included English studies evaluating breast, colorectal, ovarian, or prostate cancers. Study designs were restricted to systematic review, experimental and diagnostic types. Populations were limited to those unselected for cancer risk. Interventions were limited to collection of cancer FHx; primary and/or secondary prevention interventions for breast, colorectal, ovarian, and prostate cancers.

Results: Accuracy of models. Seven eligible studies evaluated systems based on the Gail model, and on the Harvard Cancer Risk Index. No evaluations demonstrated more than modest discriminatory accuracy at an individual level. No evaluations were identified relevant to ovarian or prostate cancer risk. Efficacy of preventive interventions. From 29 eligible systematic reviews, seven found no experimental studies evaluating interventions of interest. Of the remaining 22, none addressed ovarian cancer prevention. The reviews were generally based on limited numbers of randomized or controlled clinical trials. There was no evidence either to support or refute the use of selected chemoprevention interventions, there was some evidence of effectiveness for mammography and fecal occult blood testing. Uptake of intervention. Three studies evaluated the impact of FHx-based risk information on uptake of clinical preventive interventions for breast cancer. The evidence is insufficient to draw conclusions on the effect of FHx-based risk information on change in preventive behavior. Potential harms of FHx taking. One uncontrolled trial evaluated the impact of FHx-based breast cancer risk information on psychological outcomes and found no evidence of significant harm.

Conclusions: Our review indicates a very limited evidence base with which to address all four of the research questions: 1) the few evaluations of cancer risk prediction models do not suggest useful individual predictive accuracy; 2) the experimental evidence base for primary and secondary cancer prevention is very limited; 3) there is insufficient evidence to assess the effect of FHx-based risk assessment on preventive behaviors; 4) there is insufficient evidence to assess whether FHx-based personalized risk assessment directly causes adverse outcomes.

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