Making literature searches easier: a rapid and sensitive search filter for retrieving randomized controlled trials from PubMed.

AIMS: To develop and test the sensitivity and precision of a rapid and simple search filter (RSSF), suitable for busy clinicians wanting to find randomised controlled trials (RCTs) in PubMed. Ideally it should retrieve all the RCTs, but as few irrelevant studies as possible, and be easy to use. METHODS: The RSSF consisted of the search term 'Randomized Controlled Trial' limited to the Publication Type field. Journals that published the highest numbers of diabetes RCTs between 2000 and 2005 were identified, and then handsearched in order define a set of known RCTs. The sensitivity of the RSSF was tested by measuring the proportion of the known RCTs retrieved, and the precision by checking the proportion of the retrieved studies which were RCTs. The RSSF was compared to a highly sensitive search strategy (HSSS) developed for PubMed. Embase was checked for trials not in PubMed. RESULTS: Sixteen journals were found to contain half of all published RCTs in diabetes. 820 diabetes RCTs were identified by handsearching. Measured against these, the RSSF gave a sensitivity of 96.0% (95% CI, 94.8% to 97.1%), and a precision of 93.6% (95% CI 91.7% to 95.0%). Compared to the HSSS, the RSSF reduced the filtering required by 87%. An Embase search for diabetes RCTs found 36 (2.1%) not in PubMed. CONCLUSIONS: A rapid simple search filter for PubMed can find almost all diabetes RCTs, while excluding most studies not required, thereby greatly reducing the time cost of searching and filtering results, and of searching other databases.     

医学图书馆与PubMed本地化服务

医学图书馆通过在PubMed中提供馆藏链接、设立MyNCBI共享账号以及为用户提供PubMed使用培训和检索咨询服务,从而实现PubMed的本地化服务。     

EBSCO-MEDLINE与PubMed检索之比较

通过对EBSCO—MEDLINE与PubMed进行限定子集、检索界面、检索过程以及多个检索实例的比较，分析其异同以及各自的特点，为用户进行正确选择及有效检索提供参考。     

Clinical Trial Information Mediator

For research in biomedical sciences, cross-domain searches through several different databases are an increasingly necessary task that often becomes a time consuming and labour-intense process. This is especially the case when different domain databases have to be combined, for example combined searches in clinical trials registries, publication databases and research databases. The Clinical Trial Information Mediator (CTIM) addresses this problem and offers a novel way for the combined search in ClinicalTrials.gov, PubMed and BioSamples.CTIM was developed based on a requirements analysis and implemented using open source technology. A search engine with a graphical user interface was developed in order to search linked data in the three databases ClinicalTrials.gov, PubMed and BioSamples; thereby enabling CTIM to bridge the gap between different knowledge domains of clinical trials, publications of research results and biosamples/genetic information. CTIM was applied in three use cases demonstrating that information retrieval could be considerably improved in sense for complex queries. These use cases show that more relevant results were obtained and more associated publications and biosamples could be retrieved in comparison to a separate single search.Main advantages of CTIM are identifying related information between clinical trials and publications employing a clinical trial centred kind of search, simplified access to its databases and thus reduced search time. In addition it can be used by researchers without prior training because of the intuitive usage.     

Is autoimmunology a discipline of its own? A big data-based bibliometric and scientometric analyses

Autoimmunology is a super-specialty of immunology specifically dealing with autoimmune disorders. To assess the extant literature concerning autoimmune disorders, bibliometric and scientometric analyses (namely, research topics/keywords co-occurrence, journal co-citation, citations, and scientific output trends – both crude and normalized, authors network, leading authors, countries, and organizations analysis) were carried out using open-source software, namely, VOSviewer and SciCurve. A corpus of 169,519 articles containing the keyword “autoimmunity” was utilized, selecting PubMed/MEDLINE as bibliographic thesaurus. Journals specifically devoted to autoimmune disorders were six and covered approximately 4.15% of the entire scientific production. Compared with all the corpus (from 1946 on), these specialized journals have been established relatively few decades ago. Top countries were the United States, Japan, Germany, United Kingdom, Italy, China, France, Canada, Australia, and Israel. Trending topics are represented by the role of microRNAs (miRNAs) in the ethiopathogenesis of autoimmune disorders, contributions of genetics and of epigenetic modifications, role of vitamins, management during pregnancy and the impact of gender. New subsets of immune cells have been extensively investigated, with a focus on interleukin production and release and on Th17 cells. Autoimmunology is emerging as a new discipline within immunology, with its own bibliometric properties, an identified scientific community and specifically devoted journals.     

Bibliometric analysis of COVID-19 related publications in Indian orthopaedic journals

BackgroundThe COVID-19 pandemic has resulted in an infodemic about the novel coronavirus SARS-CoV-2 outbreak to build knowledge and develop mitigation strategies. In addition, scientific journals across the world have studied the impact of COVID-19 on trauma and orthopaedics.MethodsA cross-sectional, bibliometric analysis of the literature was undertaken on COVID-19 related articles from three Pubmed and Scopus indexed orthopaedic journals from India, namely, Indian Journal of Orthopaedics(IJO),Journal of Clinical Orthopaedics and Trauma(JCOT), and Journal of Orthopaedics (JOO), in May 2021. All the article types and study designs were included for this review. The authors, institutions, countries, keywords, and co-authorship mapping were studied.ResultsA total of 112 COVID-19 related documents were retrieved. Period of these publications was from 2^nd April 2020 to 31^st May 2021. Vaishya R. (n = 16) was the most cited author, and Indraprastha Apollo Hospitals (n = 16) was the most cited research Institution. India led the list of countries in academic publication output. On keyword mapping, telemedicine was the most prominent Medical Subject Headings (MeSH) search word.ConclusionThe Indian orthopedic journals have addressed the impact of COVID-19 on orthopaedic practice in India and aborad whilst continuing to publish knowledge about basic science and clinical orthopaedic research studies. The JCOT has outperformed and become the most leading orthopaedic journal from India during the pandemic. COVID -19 articles have been fast tracked, open accessed and attracted more citations in reduced duration of time compared to non-COVID-19 papers.     

The recent 10-year landscape of aortic dissection research: a bibliometric analysis

BackgroundWe aimed to comprehensively analyze all the literature related to aortic dissection (AD) in the past decade using Web Scrapping technology from PubMed, revealing the research dynamics in this field.MethodsData were retrieved and downloaded from PubMed with search strategy as “(aortic dissection [Title/Abstract]) AND (2010[EDAT]: 2020[EDAT])”. Information on the PMID, journal name, title, number of citations, publication year, authors, affiliations, abstract, study type, and keywords of the research was recorded.ResultsA total of 7,470 publications were identified. Most of the articles were published in J Thorac Cardiovasc Surg; Japan was the country with the largest publications number; the USA was far ahead of other countries regarding the highly cited studies; Yale University and Baylor College of Medicine took the first place for publishing most of the highly cited articles; the most frequently cited article is the 2014 ESC Guidelines on the diagnosis and treatment of aortic diseases; most of the clinical trials were published on J Vasc Surg; John A. Elefteriades ranked first by cumulative publication numbers; Christoph A. Nienaber took the lead by both cumulative citations and impact factors; Dianna M. Milewicz was the only female researcher on all the three ranking lists; the most common keywords in aortic dissection were Treatment Outcome and Retrospective Studies.ConclusionsThis study provides interesting insights into the AD scientific landscape in recent 10 years and generates some objective evidence for comprehensive understanding and evaluation of this field. This investigation may ultimately inform managers, researchers and policymakers.     

PubMed和CNKI收录炎症性肠病文献计量学分析

目的分析PubMed和CNKI炎症性肠病(IBD)文献增长规律及影响其发展的主要因素。方法用IBD及其下位词溃疡性结肠炎(UC)和克罗恩病(CD)分别逐年检索1945～2010年PubMed中收录的文献量和1978～2010年CNKI中收录的文献量,之后分别对PubMed和CNKI中收录的文献进行线性回归分析,同时分析国内外相关期刊刊载IBD的论文。结果国内外IBD、UC和CD逐年累积文献量呈上升趋势,IBD、UC和CD散点图均呈指数增长趋势(Y=aeX),前期增长速度较为缓慢,近年来增长速度逐步加快。国外63 824篇IBD文献中,英文49 284篇,为80.54%(49 284/61 195)。国内相关文献15 780篇,其中IBD文献主要刊载于核心期刊6334篇,达40.14%。结论国内外IBD研究的文献量均呈上升趋势,表明IBD的研究仍是一个热点。影响国外IBD文献增长的主要因素是学科自身固有的规律,影响国内文献增长的主要因素是学科所处的环境条件。     

PubMed新的检索工具--NCBI Search Toolbar及其应用

NCBI Search Toolbar是美国国立医学图书馆（NLM）新近推出的专用搜索工具,本文介绍该工具的特点、使用方法等.     

基于PubMed开发的数据分析工具在图书馆工作中的应用

随着信息化的不断发展,图书馆可以使用的科研分析工具将越来越多,图书馆将从过去的以文献检索、全文获取为中心的服务,发展到关注学术研究过程并为其提供针对性、知识化、个性化的深层次服务。