1. How to do a literature search Saharuddin Ahmad Aida Jaffar Department of Family Medicine

2. Outline Formulating answerable questions Search techniques Optimal search strategies Evaluating your literature searching

3. PICO A method to formulate a precise question : Population Intervention Comparison Outcome

4. Problem : Would aspirin reduces CVD events in diabetics? Final question : For patients with diabetes mellitus, will aspirin prophylaxis produces fewer cardiovascular overall complications? ItemDescription PopulationPatients with diabetes InterventionCVD events with aspirin ComparisonCompared to method of ‘no aspirin’ OutcomeFewer for all morbities and mortalities PICO

5. Search techniques

6. http://www.nlm.nih.gov/nichsr/ehta/chapter4.html

7. Search term / Key words Uses your own words and searches words & phrases to retrieve records ie diabetes, aspirin, ischaemic heart disease Some problems: –Plurals: e.g. child or children –Different spellings: e.g. esthetic or aesthetic –Different terminology: e.g. pavement or sidewalk –Prefixes: prenatal, pre natal, pre-natal –Different names : Type II diabetes, diabetes mellitus, diabetes

8. Database features to support natural language Truncation (e.g. *, $) used to search for different word stems and word endings –e.g. use comput* to find computer, computers, computed, computing, etc. Wild cards (e.g. *, ?) used to search for spelling variants –e.g. use leuk*mia to find leukaemia or leukemia Proximity and adjacency operators (e.g. adj or near) –e.g. motor near2 accidents

9. Database features to support controlled vocabulary A Thesaurus e.g. MeSH – medical subject heading terms) Mapping Explode functions “See Under”, “Used For” and “See Also” references

10. Boolean - OR DM OR ED DM ED Use to combine like terms or terms within the same concept

11. Boolean - AND DM ED DM AND ED Use to combine together different concepts

12. Boolean - NOT DM NOT ED DM ED Use to exclude terms from your search

13. What is an optimal search strategy? “optimal permutations of search terms found in the titles, abstracts or the subject indexing of relevant articles that have been demonstrated to have a high correlation with study quality” “pre-prepared search strategies, previously referred to as ‘search filters’, ‘quality filters’, ‘hedges’ or ‘optimal search strategies’ developed for use with particular databases to retrieve specific types of evidence more effectively”

14. Online Tools Google Scholar Portal Perpustakaan PPUKM Pubmed Ovid Science direct Scopus Springer links

15. Google Scholar Using Boolean Expressions NOT (minus sign) ED –DM Search for ED while excluding DM from results Exact strings “Diabetes mellitus”, “erectile dysfunction” If results is too large, use the “Search within results” option

16. Google Wildcards ‘*’/’?’ - Replace wildcard with any combination of characters DM* or T2DM* - DM? or T2DM? Site search – Restrict your search to a particular site –site:domain.com –Example: cluster computing site:*.edu Google Scholar

17. library.oakland.edu/coursePages/handouts/wildcards.pdf‎ Wildcards

18. The National Library of Medicine Part of the National Institutes of Health (NIH) The world’s largest biomedical library; it produces: –PubMed = Index to world’s biomedical literature –MedlinePlus = Patient education & consumer health information –ClinicalTrials.gov = Database of clinical trials

19. MEDLINE The world’s largest biomedical database Over 5,000 journals indexed, with worldwide coverage Covers all aspects of biosciences and healthcare Database of 16+ million journal citations, 1950 to the present 90% are in English ; 79% have abstracts The primary component of PubMed

20. PubMed PubMed is a tool to search: –MEDLINE (1950 to present) –In-process & publisher-supplied citations (some before they are published in hard copy) –Citations from some older materials not yet upgraded with MEDLINE indexing, some out-of-scope articles from MEDLINE journals, and some life sciences journals that submit full text to PubMedCentral Produced by NCBI –National Center for Biotechnology Information, part of NLM Accessible worldwide on the Web at no charge

21. Managing data NoFirst author YearPrevalence ObjectiveRemarks 12 1Awang201160%Significant hypothesis Not sig reason Important points Suggestions etc 2

22. HOW TO USE PUBMED Practical session

23. Let’s use this search: What’s the evidence for the use of montelukast in the management of childhood asthma

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32. HOW TO USE PUBMED Practical session

33. THANK YOU