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Knowledge synthesis in the biomedical literature: Nordihydroguaiaretic acid and breast cancer.

机译:生物医学文献中的知识合成:去氢愈创木酸和乳腺癌。

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This dissertation refines knowledge synthesis from publicly accessible databases, based on the model of D. R. Swanson. Knowledge synthesis endeavors bring together two or more noninteractive literatures to create combinatorial research data on a specific topic. In this endeavor the biomedical literature was searched on the anti-neoplastic agent nordihydroguaiaretic acid (NDGA) for its potential role as a functional food in the chemoprevention of breast cancer. Bibliometric cocitation was utilized to identify complementary but non-interactive literatures in the disciplines of biomedicine and dietary science.; The continuing specialization and fragmentation of the cancer literature degenerates the potential usefulness of cross-disciplinary research and information. As the biomedical sciences become more specialized the potential increases for isolation of discoveries and for failures to connect science to the needs of the people. Within the information science discipline several techniques are available to bridge the isolation between discoveries recorded in different sets of literatures. Electronic database searching with combinatorial keyword entries, syllogistic modeling and bibliometric author cocitation analysis are the principle techniques applied in this endeavor.; The research questions are addressed to the absence or presence of human in vivo research on breast cancer with the potentially chemopreventative functional food NDGA. Utilizing a syllogistic model the literatures of functional foods, nordihydroguaiaretic acid and breast cancer were searched with designated combinatorial keywords. The documents retrieved were subjected to author cocitation analysis to demonstrate disjointness or connectivity of the two complementary literatures. The results demonstrated a possible preventative relationship between breast cancer in women and nordihydroguaiaretic acid, a phytochemical antioxidant and potential functional food. The results of the study are consistent with D. R. Swanson's pioneering work in knowledge synthesis. Swanson's methods can be used to identify non-interactive, disjoint literatures. Continuing support for his techniques has been demonstrated.
机译:本文基于D.R. Swanson模型,从可公开访问的数据库中完善了知识合成。知识合成的努力汇集了两个或两个以上非交互式文献,以创建有关特定主题的组合研究数据。在这一努力中,针对抗肿瘤药降氢双氢愈创木酸(NDGA)作为功能性食品在化学预防乳腺癌中的潜在作用,搜寻了生物医学文献。文献计量法被用来识别生物医学和饮食科学领域的互补性但非交互性文献。癌症文献的持续专业化和破碎化削弱了跨学科研究和信息的潜在有用性。随着生物医学科学的日益专业化,发现隔离和将科学与人们的需求联系失败的潜力也越来越大。在信息科学学科内,有几种技术可用来桥接不同文献集所记录的发现之间的隔离。带有组合关键字条目的电子数据库搜索,三段论建模和文献计量作者引文分析是这项工作中应用的主要技术。研究问题针对的是是否存在人类对具有潜在化学预防功能性食品NDGA的乳腺癌的体内研究。利用三段论模型,使用指定的组合关键字搜索功能性食品,降二氢愈创木酸和乳腺癌的文献。对检索到的文档进行作者引用分析,以证明这两个互补文献的脱节或联系。结果表明妇女乳腺癌与去甲二氢愈创木酸,一种植物化学抗氧化剂和潜在功能性食品之间可能存在预防性关系。研究结果与D. R. Swanson在知识综合方面的开拓性工作相吻合。 Swanson的方法可用于识别非交互性,不相交的文献。他的技术得到了持续的支持。

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