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Systematic Review

Resources for conducting a systematic review research.

Developing a Search Strategy

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Techniques for search term harvesting

Begin brainstorming search terms by using the following techniques:

  • Explore gold standard articles supplied by the principal investigator or found through preliminary searches.
  • Look at search strategies from published systematic reviews.
  • Scan records, articles, and searches for usable controlled vocabulary and natural language. Use database tools (e.g. thesauri, index, subject headings) to find controlled vocabulary terms; Oxford English Dictionary to locate word variants or synonyms, Text Mining tools to find Medical Subject Headings (MeSH) terms or "implicit" keywords.
  • Try Elicit to generate a few options for your initial research topic and narrow it down to a specific population, geographical location, disease, etc. You may explore similar tools, LitSense or CitationChaser to identify additional search terms.

​Look for relevant and/or frequently occurring terms. List all terms in an Excel harvesting form.


  • cancer[Title/Abstract]
  • neoplasm[MeSH]
  • malignant[Text word]
  • tumor[All fields]

Learn how to build the search with the PubMed Tutorial. Test out the new feature: proximity searching.

Try 2Dsearch as an alternative to conventional "advanced search." 

Instead of entering Boolean strings into one-dimensional search boxes, queries are formulated by manipulating objects on a two-dimensional canvas. This eliminates syntax errors, makes the query semantics more transparent, and offers new ways to collaborate, share, and optimize search strategies and best practices.

Translating search strategies across databases


Take control of your search and turn off Pubmed's Automatic Term Mapping (ATM)! It will not include all variant terminology and automatically explodes MeSH terms. Not using ATM allows for clearer documentation of the search method.

For more information on Automatic Term Mapping, watch the video below.

Further readings
  • Burns, C. S., Nix, T., Shapiro, R. M., & Huber, J. T. (2021). MEDLINE search retrieval issues: A longitudinal query analysis of five vendor platforms. PLoS ONE, 16(5), e0234221.

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Image by Prakhyath Rai, Assistant Professor, SCEM, Mangaluru

Text Mining Tools

These tools can help you with building your search strategy.

  • PubMed Pub ReMiner - Text mining for PubMed to look at commonalities between MeSH terms and keywords
  • Go PubMed - Text mining tool for PubMed or MeSH terms. This article explains the features of this text mining tool.
  • PubVenn - This tool enables you to explore PubMed using venn diagrams. Also, try Search Workbench.
  • Yale MeSH Analyzer - Watch this tutorial (7 min.). This tool allows users to enter up to 20 PubMed ID numbers, which it uses to aggregate the metadata from the associated articles into a spreadsheet. For systematic reviews, it is useful in search strategy development to quickly aggregate the Medical Subject Heading (MeSH) terms associated with relevant articles. While it only works for PubMed, it can be useful for developing searches in medical-adjacent fields, such as psychology, nutrition, and animal health. 
  • NCBI MeSH on Demand identifies MeSH® terms in your submitted text (abstract or manuscript). MeSH on Demand also lists PubMed similar articles relevant to your submitted text.
  • HelioBLAST - This tool finds text records that are similar to the submitted query. Your query is searched against the citations (abstract and titles) in Medline/PubMed and the top matching articles are returned in the results.
  • Coremine - It is ideal for those seeking an overview of a complex subject while allowing the possibility to "drill down" to specific details. Instructions
  • Carrot2 - This tool can automatically organize search results into topics. It can query PubMed and allows boolean searching.
  • SWIFT-Review - Desktop text mining tool specific to systematic reviews. To obtain your free license for SWIFT Review, simply browse to the Sciome Software web page to login and/or create your SWIFT-Review account.  
  • Voyant - General text mining (this is the download). For the web version go to
  • TerMine - General text mining
  • JSTOR Text Analyzer - Recommends journal articles in JSTOR relevant to text.
  • CREBP-SRA Word Frequency Analyser (WFA) - This tool helps determine which words you should use to construct and refine a search strategy
  • Medline Ranker requires a set of known relevant records with PubMed identifiers and a test set of records (e.g. search results from a highly sensitive search). Medline Ranker sorts the records in the test set and presents those that were most similar to the relevant records first. Medline Ranker also provides a list of discriminating terms which discriminate relevant records from non-relevant records.


For more information on text mining tools - review and comparison, read the following article:

Paynter, R., Bañez, L. L., Berliner, E., Erinoff, E., Lege-Matsuura, J., Potter, S., & Uhl, S. (2016). EPC methods: an exploration of the use of text-mining software in systematic reviews.

Flying books through a filter and a small pile of books on the other side of the filter

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Search Filters / Hedges

Search hedges are vetted strategies created by expert searchers to find specific literature.

Keep in mind!

  1. Date of creation of filter
  2. Pace of change in terminology (controlled  and free text)

If you edit a filter, note this in the manuscript.


“We used a prognosis filter based on that developed by Smith (2015).”

You might limit to a particular publication type in Pubmed. See a full list of Pubmed publication types.

Hedges by Topic (in alphabetical order)

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Evaluating Your Search Strategy

To find any nesting errors, use and check the "Parentheses" option.

Check your search strategy for any errors using the checklist below.


McGowan J, Sampson M, Salzwedel DM, Cogo E, Foerster V, Lefebvre C. PRESS Peer Review of Electronic Search Strategies: 2015 guideline statementJournal of Clinical  Epidemiology, 75, 40-46. 

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Documenting Your Search Strategy

Keep track of all your search terms and search strategies that you have used for each database.

You will need this information as supplemental material to accompany your manuscript.

Read more about how to present your search strategy: Line by Line vs Block by Block vs Single-Line.

Register your search strategy at

Systematic Literature Review Worksheet

Use the Database Search Log to record your search terms, search strategy and databases searched.

Guidance on Reporting Systematic Reviews

Cochrane strongly encourages that review authors include a study flow diagram as recommended by the PRISMA statement.

Other checklists include:

  • Equator Network list of guidelines -  Browse for reporting guidelines by study type, clinical area, and section of report. Some examples include:
    • ARRIVE and DSPC for animal studies
    • MOOSE - meta-analysis of observational studies in epidemiology
    • STARLITE - general health policy and clinical practice
    • TIDier-PHP - population health and policy interventions

Examples of documented search methodologies:

  • Full search strategies for all database searches provided in the Appendices:

Bath, P. & Krishnan, K. (2014). Interventions for deliberately altering blood pressure in acute strokeCochrane Database of Systematic Reviews, 10.

  • A summary of sources searched and keywords used in the Sources section:

McIntyre, S, Taitz, D, Keogh, J, Goldsmith, S, Badawi, N & Blair, E. (2013). A systematic review of risk factors for cerebral palsy in children born at term in developed countries. Developmental Medicine & Child Neurology, 55(6), 499-508.

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Blogs & Discussion lists

Learn from other experienced searchers and get professional advice from the library community.