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The proportion of cancer-related entries in PubMed has increased considerably; is cancer truly “The Emperor of All Maladies”?

机译:PubMed中与癌症相关的条目所占比例已大大增加;癌症真的是“万恶之皇”吗?

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摘要

In this work, the public database of biomedical literature PubMed was mined using queries with combinations of keywords and year restrictions. It was found that the proportion of Cancer-related entries per year in PubMed has risen from around 6% in 1950 to more than 16% in 2016. This increase is not shared by other conditions such as AIDS, Malaria, Tuberculosis, Diabetes, Cardiovascular, Stroke and Infection some of which have, on the contrary, decreased as a proportion of the total entries per year. Organ-related queries were performed to analyse the variation of some specific cancers. A series of queries related to incidence, funding, and relationship with DNA, Computing and Mathematics, were performed to test correlation between the keywords, with the hope of elucidating the cause behind the rise of Cancer in PubMed. Interestingly, the proportion of Cancer-related entries that contain “DNA”, “Computational” or “Mathematical” have increased, which suggests that the impact of these scientific advances on Cancer has been stronger than in other conditions. It is important to highlight that the results obtained with the data mining approach here presented are limited to the presence or absence of the keywords on a single, yet extensive, database. Therefore, results should be observed with caution. All the data used for this work is publicly available through PubMed and the UK’s Office for National Statistics. All queries and figures were generated with the software platform Matlab and the files are available as supplementary material.
机译:在这项工作中,使用关键词和年份限制组合的查询来挖掘生物医学文献PubMed的公共数据库。研究发现,PubMed中每年与癌症相关的条目所占比例已从1950年的6%上升到2016年的16%以上。艾滋病,疟疾,结核病,糖尿病,心血管疾病等其他疾病并未共享这一增长,中风和感染,其中一些与之相反,在每年总条目中所占比例有所下降。进行了与器官相关的查询,以分析某些特定癌症的变异。进行了一系列与发病率,资金以及与DNA,计算机和数学的关系有关的查询,以测试关键字之间的相关性,以期阐明PubMed中癌症兴起的原因。有趣的是,包含“ DNA”,“计算”或“数学”的癌症相关条目的比例有所增加,这表明这些科学进展对癌症的影响要强于其他条件。重要的是要强调,此处介绍的数据挖掘方法所获得的结果仅限于单个但广泛的数据库中关键字的存在与否。因此,应谨慎观察结果。用于此项工作的所有数据均可通过PubMed和英国国家统计局公开获得。所有查询和图形都是使用Matlab软件平台生成的,并且这些文件可用作补充材料。

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