Search Tips and Trics
1. Developing answerable questions
A technique often used in research for formulating a research question is the PICO Model. Using PICO, a research question will have 4 elements -Patient, Intervention, Comparison and Outcome.
If it is not possible to make a PICO of your research question use the key concepts of your research question.
The Cochrane Handbook for Systematic Reviews of Interventions (2008, p. 85-89) includes the following factors to consider when developing criteria for your PICO elements.
|Patient, Population or Problem||
|Interventions and Comparisons||
2. Identify synonyms and related terms
It is important not to overlook this stage in the search process. Time spent identifying all possible synonyms and related terms for each of your PICO elements or concepts will ensure that your search retrieves as many relevant records as possible.
|- Think laterally about how others may describe the same concept|
|- What terminology is used internationally?|
|- Are there spelling differences in UK English and US English words?|
|- Are there any colloquial terms or phrases used?|
|- Check the search terms used in other papers or systematic reviews - other terms may be suggested from these.|
It might be useful to check relevant dictionaries, encyclopedias and key texts for alternate terms.
Build a list of each of the search terms you identify. For example, if you were searching for:
|Exercise-based rehabilitation||for||coronary heart disease|
Your list of synonyms and related terms might include:
|Exercise-based rehabilitation||Coronary heart disease|
physical education and training
coronary heart bypass
3. Use truncation and wildcards
The definition of ‘truncation’ is to shorten or cut-off at the end. Truncation is used in database searches to ensure the retrieval of all possible variations of a search term. All databases allow truncation, but the symbols used may vary, so it is best to check the database help for details.
Databases usually allow words to be truncated either at the end, or internally:
- Truncating a word at the end ensures that all variations of the word, beginning with a specific root, will be retrieved. This is particularly useful for retrieving singular and plural versions of words.
Be careful not to truncate terms too early, or you may retrieve a high number of irrelevant documents.
Most databases use an asterisk (*) to find alternate endings for terms. For example:
|therap* will retrieve therapy, therapies, therapists, therapeutic, therapeutical, etc|
Truncating a word internally ensures that any variations of spelling of a word can be retrieved. For example, pediatrics or paedetrics. It allows you to search for alternate spellings of words - extremely useful when searching for American and English spellings of words.
Internal truncation is available in some databases such as EMBASE.com. Unfortunately it is not possible in PubMed.
For example, a question mark included within a word can designate zero or one character in that place:
|colo?r will retrieve either colour or color|
4. Combining terms
Boolean operators (OR, AND, NOT) allow you to link terms together, either to widen a search or to exclude terms from your search results.
Use to broaden your search, increasing the number of references retrieved. Use "OR" to search for synonyms and related terms for each concept within a research question.
For example, when searching for the concept "exercise based rehabilitation" you might use the following terms:
rehabilitation OR exercise OR exercise therapy OR sports OR exertion OR physical training OR aerobics OR kinesiotherapy
Used to narrow a search, therefore decreasing the number of references.
For example, searching for:
Would retrieve just those references covering both topics.
Used to narrow a search, therefore decreasing the number of references.
dogs NOT sheep
Would retrieve references dealing with females, but not those which discuss males. Caution should be exercised when using NOT, In the example above, research dealing with both dogs and sheep would be excluded from the search results.
Proximity (sometimes called “adjacency”) searching is similar to using Boolean operators in that you are specifying relationships between 2 or more terms. However, proximity searching allows you to specify the proximity of words to each other. Some databases allow you to search for words within a specified number of words from each other. This feature is not available in PubMed.
For example you can use NEAR/n or NEXT/n:
drug* NEAR/2 adverse means the words must be within n words inclusive of each other in the record.
adverse NEXT/2 reaction* means he words must be within n words inclusive of each other in the same order as they appear in the search form.
Nest search terms to control the logic of your search. For example:
(rehabilitation OR exercise OR exercise therapy OR sports OR physical training) AND (Coronary heart bypass OR myocardial ischemia OR myocardial infarction OR coronary disease OR coronary thrombosis)
5. Identify search limits / exclusion criteria
You should next think about the limits you intend to apply to your search.
|Criteria||Questions to Ask||Advise from the Cochrane Handbook for Systematic Reviews of Interventions (2008, p. 134)|
|Time Period||Will your review be restricted by year of publication, or is it important that you cover all years?||"Date restrictions should be applied only if it is known that relevant studies could only have been reported during a specific time period, for example if the intervention was only available after a certain time point."|
|Language||Should you restrict to English language publications only?||"Whenever possible review authors should attempt to identify and assess for eligibility all possibly relevant reports of trials irrespective of language of publication. No language restrictions should be included in the search strategy."|
|Publication Type||Are you restricting your search by publication type?||"Format restrictions such as excluding letters are not recommended because letters may contain important additional information relating to an earlier trial report or new information about a trial not reported elsewhere."|
|Geographic Considerations||Are there any geographic considerations to include in your search strategy?||For example, if you were researching Chinese herbal medicine you would need to consult Chinese literature.|
6. Keyword vs subject searching
Controlled vocabularies (such as the MESH subject headings used in Medline and EMTREE subject headings used in EMBASE) provide an organised approach to the way knowledge is described.
Their use is extremely important as they bring uniformity to the indexing of publications included within a database. Using the same terminology throughout a database creates consistency and precision and helps you to find relevant information no matter what terminology the author may have used within their publication.
Indexing is usually a manual process. Databases such as MEDLINE employ specially trained indexers to read the full-text of each publication then identify all of the concepts covered within the article. These concepts are then translated to the controlled vocabulary used within the database. It is the indexer’s job to ensure that each concept included in the article are identified and assigned a term.
N.B. Text word or Keyword searches are extremely important when conducting systematic reviews, and should be used in combination with the relevant controlled vocabularies or subject headings within each of your database searches:
- Authors may not describe their methods or objectives well and indexers are not always experts in the subject areas
- The available indexing terms might not correspond to the terms the searcher wishes to use. Cochrane Handbook for Systematic Reviews of Interventions (2008, p. 130)
Each database may use different subject headings to describe the same concept. As an example, the term “complementary medicine”:
|The MESH heading (MEDLINE) is “complementary therapies”|
|The EMTREE heading (EMBASE) is “alternative medicine”|
|The CINAHL heading is “alternative therapies”|
The MEDLINE (PubMed/OVID), Embase.com, and CINAHL databases provide a search option to “explode” terms. PubMed automatically explodes terms, although there is the option of choosing not to explode a term. Exploded searches retrieve indexed records for a term, plus other terms which are a derivative (more specific, narrower terms) of the search term. Exploding search terms provides a fast way to find related concepts in a single search.
For example, if a search for "complementary therapies" in MEDLINE was exploded:
Sensitivity vs precision
The goal of systematic review searches is to identify all relevant studies on a topic. Systematic review searches are therefore typically quite extensive. However, it may be necessary to strike a balance between the sensitivity and precision of your search.
- Sensitivity – the number of relevant results identified divided by the total number of relevant results in existence.
- Precision – the number of relevant results identified divided by the total number of results identified.
Increasing the comprehensiveness of a search will reduce its precision and will retrieve more non-relevant results. However,
... At a conservatively estimated reading rate of one or two abstracts per minute, the results of a database search can be screened at the rate of 60–120 per hour (or approximately 500–1000 over an 8-hour period), so the high yield and low precision associated with systematic review searching may not be as daunting as it might at first appear in comparison with the total time to be invested in the review.. (Cochrane Handbook for Systematic Reviews of Interventions, 2019, Section 4.4.3)
Issues to consider
- All concepts are included in the strategy
- All appropriate subject headings are used
- Appropriate use of explosion
- Appropriate use of subheadings and floating subheadings
- Use of natural language (key words/ text words) in addition to controlled vocabulary terms
- Use of appropriate synonyms, acronyms, etc.
- Truncation and spelling variation as appropriate
- Appropriate use of limits such as language, years, etc.
- Field searching, publication type, author, etc.
- Boolean operators used appropriately
- Line errors: when searches are combined using line numbers, be sure the numbers refer to the searches intended
- Check indexing of relevant articles
- Search strategy adapted as needed for multiple databases