Contents 1 History 1.1 Initial development of MEDLARS 1.2 MEDLARS Online 2 Database 3 Retrieval 4 Importance 5 Inclusion of journals 6 Usage 7 See also 8 References

History[edit] MEDLARS (Medical Literature Analysis and Retrieval System) is a computerised biomedical bibliographic retrieval system. It was launched by the National Library of Medicine in 1964 and was the first large scale, computer based, retrospective search service available to the general public.[1] Initial development of MEDLARS[edit] Since 1879, the National Library of Medicine had published Index Medicus, a monthly guide to medical articles in thousands of journals. The huge volume of bibliographic citations were manually compiled. In 1957 the staff of the NLM started to plan the mechanization of the Index Medicus, prompted by a desire for a better way to manipulate all this information, not only for Index Medicus but also to produce subsidiary products. By 1960 a detailed specification was prepared and by the spring of 1961 a request for proposals was sent out to 72 companies to develop the system. As a result, a contract was awarded to the General Electric Company. The computer (a Minneapolis-Honeywell 800) which was to run MEDLARS was delivered to the NLM in March 1963, and Frank Bradway Rogers (Director of the NLM 1949 to 1963) said at the time "..If all goes well, the January 1964 issue of Index Medicus will be ready to emerge from the system at the end of this year. It may be that this will mark the beginning of a new era in medical bibliography." MEDLARS cost $3 million to develop and at the time of its completion in 1964, no other publicly available, fully operational electronic storage and retrieval system of its magnitude existed. The original computer configuration operated from 1964 until its replacement by MEDLARS II in January 1975.[2][3] MEDLARS Online[edit] In late 1971, an online version called MEDLINE ("MEDLARS Online") became available as a way to do online searching of MEDLARS from remote medical libraries.[4] This early system covered 239 journals and boasted that it could support as many as 25 simultaneous online users (remotely logged-in from distant medical libraries) at one time.[5] However, this system remained primarily in the hands of libraries, with researchers able to submit pre-programmed search tasks to librarians and obtain results on printouts, but rarely able to interact with the NLM computer output in real-time. This situation continued through the beginning of the 1990s and the rise of the World Wide Web. In 1996, soon after most home computers began automatically bundling efficient web browsers, a free public version of MEDLINE was instigated. This system, called PubMed, was offered to the general online user in June, 1997, when MEDLINE searches via the Web were demonstrated, in a public ceremony, by Vice President Al Gore.[5]

Database[edit] The database contains more than 26 million records[6] from 5,639 selected publications[7] covering biomedicine and health from 1950 to the present. Originally the database covered articles starting from 1965, but this has been enhanced, and records as far back as 1950/51 are now available within the main index. The database is freely accessible on the Internet via the PubMed interface and new citations are added Tuesday through Saturday. For citations added during 1995-2003: about 48% are for cited articles published in the U.S., about 88% are published in English, and about 76% have English abstracts written by authors of the articles. The most common topic in the database is Cancer with around 12% of all records between 1950-2016, which have risen from 6% in 1950 to 16% in 2016. [8]

Retrieval[edit] MEDLINE uses Medical Subject Headings (MeSH) for information retrieval. Engines designed to search MEDLINE (such as Entrez and PubMed) generally use a Boolean expression combining MeSH terms, words in abstract and title of the article, author names, date of publication, etc. Entrez and PubMed can also find articles similar to a given one based on a mathematical scoring system that takes into account the similarity of word content of the abstracts and titles of two articles.[9] MEDLINE added a "publication type" term for “randomized controlled trial” in 1991 and a MESH subset “systematic review” in 2001.[10]

Importance[edit] MEDLINE functions as an important resource for biomedical researchers and journal clubs from all over the world. Along with the Cochrane Library and a number of other databases, MEDLINE facilitates evidence-based medicine. Most systematic review articles published presently build on extensive searches of MEDLINE to identify articles that might be useful in the review. MEDLINE influences researchers in their choice of journals in which to publish.[citation needed]

Inclusion of journals[edit] More than 5,500 biomedical journals are indexed in MEDLINE. New journals are not included automatically or immediately. Selection is based on the recommendations of a panel, the Literature Selection Technical Review Committee, based on scientific scope and quality of a journal.[11] The Journals Database (one of the Entrez databases) contains information, such as its name abbreviation and publisher, about all journals included in Entrez, including PubMed.[12]

Usage[edit] PubMed usage has been on the rise since 2008. In 2011, PubMed/MEDLINE was searched 1.8 billion times, up from 1.6 billion searches in the previous year.[13] A service such as MEDLINE strives to balance usability with power and comprehensiveness. In keeping with the fact that MEDLINE's primary user community is professionals (medical scientists, health care providers), searching MEDLINE effectively is a learned skill; untrained users are sometimes frustrated with the large numbers of articles returned by simple searches. Counterintuitively, a search that returns thousands of articles is not guaranteed to be comprehensive. Unlike using a typical Internet search engine, PubMed searching of MEDLINE requires a little investment of time. Using the MeSH database to define the subject of interest is one of the most useful ways to improve the quality of a search. Using MeSH terms in conjunction with limits (such as publication date or publication type), qualifiers (such as adverse effects or prevention and control), and text-word searching is another. Finding one article on the subject and clicking on the "Related Articles" link to get a collection of similarly classified articles can expand a search that otherwise yields few results. For lay users who are trying to learn about health and medicine topics, the NIH offers MedlinePlus; thus, although such users are still free to search and read the medical literature themselves (via PubMed), they also have some help with curating it into something comprehensible and practically applicable for patients and family members.

See also[edit] Altbib LILACS GoPubMed - explore PubMed/MEDLINE with Gene Ontology HubMed - an alternative interface to the PubMed medical literature database. eTBLAST - a natural language text similarity engine for MEDLINE and other text databases. Medscape Twease - an open-source biomedical search engine

References[edit] ^ "Milestones in NLM History". Retrieved 2009-09-06.  ^ Rogers, Frank B. "The Development of MEDLARS" Bull Med Libr Assoc. 1964 January; 52(1): 150–151 ^ Miles, Wyndham. The History of the NLM: Chapter 20 - Evolution of Computerized Bibliographies Archived 2012-10-17 at the Wayback Machine. (1983) ^ US Congress, Office of Technology Assessment (1982), MEDLARS and Health Information Policy. ISBN 1-4289-2424-8 ^ a b "Internet Access to the National Library of Medicine" (PDF). Archived from the original (PDF) on 2 November 2013. Retrieved 6 April 2016.  ^ "Pubmed all[sb]". NLM Systems. 2016-05-12. Retrieved 2016-05-12.  ^ "Number of Titles Currently Indexed for Index Medicus® and MEDLINE® on PubMed®". NLM. 2013-07-09. Retrieved 2013-11-05.  ^ Reyes-Aldasoro C (2017). "The proportion of cancer-related entries in PubMed has increased considerably; is cancer truly "The Emperor of All Maladies"?". PLOS ONE. 12 (3): e0173671. doi:10.1371/journal.pone.0173671. PMC 5345838 . PMID 28282418.  ^ "PubMed related articles: a probabilistic topic-based model for content similarity". BMC Bioinformatics (2007) 8:423. 2007-10-30. Retrieved 2011-05-30.  ^ Institute of Medicine (US) Committee on the Use of Complementary and Alternative Medicine by the American Public. (2005). "State of Emerging Evidence on CAM". Complementary and Alternative Medicine in the United States. National Academies Press (US).  ^ "MEDLINE Journal Selection Fact Sheet". LSTRC. Retrieved 2009-04-13.  ^ "PubMed Tutorial - Building the Search - Search Tools - Journals Database". Retrieved 2009-09-06.  ^ "Key MEDLINE® Indicators". NLM. 2012-02-06. Retrieved 2012-03-20.  Retrieved from "" Categories: Biological databasesUnited States National Library of MedicineBibliographic databases and indexesMedical databasesOnline databasesPublic domain databasesHidden categories: Webarchive template wayback linksAll articles with unsourced statementsArticles with unsourced statements from September 2009Year of establishment missing

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