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通过文献挖掘了解重度抑郁症的研究概况:对1948年至2017年PubMed数据的实体层面分析

Understanding the research landscape of major depressive disorder via literature mining: an entity-level analysis of PubMed data from 1948 to 2017.

作者信息

Zhu Yongjun, Kim Min-Hyung, Banerjee Samprit, Deferio Joseph, Alexopoulos George S, Pathak Jyotishman

机构信息

Department of Healthcare Policy and Research, Weill Cornell Medicine, Cornell University, New York, New York, USA.

Department of Library and Information Science, Sungkyunkwan University, Seoul, South Korea.

出版信息

JAMIA Open. 2018 Apr 3;1(1):115-121. doi: 10.1093/jamiaopen/ooy001. eCollection 2018 Jul.

DOI:10.1093/jamiaopen/ooy001
PMID:31984323
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6951824/
Abstract

OBJECTIVE

To analyze literature-based data from PubMed to identify diseases and medications that have frequently been studied with major depressive disorder (MDD).

MATERIALS AND METHODS

Abstracts of 23 799 research articles about MDD that have been published since 1948 till 2017 were analyzed using data and text mining approaches. Methods such as information extraction, frequent pattern mining, regression, and burst detection were used to explore diseases and medications that have been associated with MDD.

RESULTS

In addition to many mental disorders and antidepressants, we identified several nonmental health diseases and nonpsychotropic medications that have frequently been studied with MDD. Our results suggest that: (1) MDD has been studied with disorders such as , , , , and ; (2) medications such as , , , and have been studied in terms of their side effects and off-label uses; (3) the relationships between nonmental disorders and MDD have gained increased attention from the scientific community; and (4) the bursts of and explain the psychiatric and/or depression screening recommended by authoritative associations during the periods of the bursts.

DISCUSSION AND CONCLUSION

This study summarized and presented an overview of the previous MDD research in terms of diseases and medications that are highly relevant to MDD. The reported results can potentially facilitate hypothesis generation for future studies. The approaches proposed in the study can be used to better understand the progress and advance of the field.

摘要

目的

分析来自PubMed的基于文献的数据,以确定经常与重度抑郁症(MDD)一起研究的疾病和药物。

材料与方法

使用数据和文本挖掘方法分析了1948年至2017年发表的23799篇关于MDD的研究文章的摘要。采用信息提取、频繁模式挖掘、回归和突发检测等方法来探索与MDD相关的疾病和药物。

结果

除了许多精神障碍和抗抑郁药外,我们还确定了几种经常与MDD一起研究的非精神健康疾病和非精神药物。我们的结果表明:(1)MDD已与诸如 、 、 、 和 等疾病一起研究;(2)诸如 、 、 和 等药物已就其副作用和标签外用途进行了研究;(3)非精神障碍与MDD之间的关系已获得科学界越来越多的关注;(4) 和 的突发解释了权威协会在突发期间推荐的精神病学和/或抑郁症筛查。

讨论与结论

本研究总结并概述了以往在与MDD高度相关的疾病和药物方面对MDD的研究。报告的结果可能有助于为未来的研究生成假设。该研究中提出的方法可用于更好地理解该领域的进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d13/6951824/bebb4f509205/ooy001f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d13/6951824/8c7712eee299/ooy001f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d13/6951824/5edd8158e0a7/ooy001f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d13/6951824/bebb4f509205/ooy001f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d13/6951824/8c7712eee299/ooy001f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d13/6951824/5edd8158e0a7/ooy001f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d13/6951824/bebb4f509205/ooy001f3.jpg

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Identifying Liver Cancer and Its Relations with Diseases, Drugs, and Genes: A Literature-Based Approach.基于文献的方法识别肝癌及其与疾病、药物和基因的关系。
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A history of early life parental loss or separation is associated with successful cognitive-behavioral therapy in major depressive disorder.早年经历父母丧亡或分离的历史与重度抑郁症成功的认知行为疗法相关。
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心理健康:抑郁的世界。
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A systematic review and meta-analysis of the association between depression and insulin resistance.一项关于抑郁与胰岛素抵抗相关性的系统评价和荟萃分析。
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