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中心性浆液性脉络膜视网膜病变随机临床试验的科学文献数据库覆盖情况

Scientific Literature Database Coverage of Randomized Clinical Trials for Central Serous Chorioretinopathy.

作者信息

Boberg-Ans Lars C, Klefter Oliver N, Rasmussen Marie L R, van Dijk Elon H C, Subhi Yousif

机构信息

Department of Ophthalmology, Rigshospitalet, DK-2600 Copenhagen, Denmark.

Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.

出版信息

J Pers Med. 2023 Jun 12;13(6):983. doi: 10.3390/jpm13060983.

DOI:10.3390/jpm13060983
PMID:37373972
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10305376/
Abstract

BACKGROUND

Systematic literature searches are the cornerstone of systematic reviews. In this study, we evaluated database coverage of randomized clinical trials for central serous chorioretinopathy (CSC).

METHODS

We searched 12 databases (BIOSIS Previews, CINAHL, the Cochrane Central, Current Contents Connect, Data Citation Index, Derwent Innovations Index, EMBASE, KCI-Korean Journal Database, MEDLINE, PubMed, SciELO Citation Index, and Web of Science Core Collection) on 10 April 2023 for randomized clinical trials for CSC. After identifying all eligible studies across all databases, we investigated the coverage of these studies within each database, including the coverage of any combination of two databases.

RESULTS

The 12 databases yielded 848 records for screening, of which 76 were randomized clinical trials for CSC. No single database provided full coverage. The most comprehensive coverage was provided by EMBASE (88%), the Cochrane Central (87%), and PubMed (75%). A combined search in the Cochrane Central and PubMed led to complete coverage (100%) while reducing the number of records for screening from 848 to 279.

CONCLUSIONS

Systematic review search design should include multiple databases. For randomized clinical trials for CSC, the combination of the Cochrane Central and PubMed provides an excellent balance between coverage and workload.

摘要

背景

系统文献检索是系统评价的基石。在本研究中，我们评估了中心性浆液性脉络膜视网膜病变（CSC）随机临床试验的数据库覆盖情况。

方法

我们于2023年4月10日在12个数据库（生物学文摘数据库、护理学与健康领域数据库、Cochrane中心对照试验注册库、现刊目次数据库、数据引用索引、德温特创新索引、EMBASE、韩国科学技术院数据库、医学索引数据库、PubMed、科学电子图书馆引文索引和科学网核心合集）中检索CSC随机临床试验。在确定所有数据库中的所有合格研究后，我们调查了每个数据库内这些研究的覆盖情况，包括任意两个数据库组合的覆盖情况。

结果

这12个数据库产生了848条待筛选记录，其中76条是CSC随机临床试验。没有一个数据库能提供全面覆盖。覆盖最全面的是EMBASE（88%）、Cochrane中心对照试验注册库（87%）和PubMed（75%）。Cochrane中心对照试验注册库和PubMed联合检索可实现完全覆盖（100%），同时将待筛选记录数量从848条减少到279条。

结论

系统评价检索设计应包括多个数据库。对于CSC随机临床试验，Cochrane中心对照试验注册库和PubMed的组合在覆盖范围和工作量之间实现了良好平衡。