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Parentheses tell a database which search terms belong together before different parts of a query are combined. They become especially important when AND and OR appear in the same search because missing or misplaced parentheses can change which records are retrieved.
Read Guide →Translating a search strategy means preserving its concepts and retrieval logic while adapting controlled vocabulary, fields, operators, and syntax for another database. It is not a copy-and-paste exercise.
Read Guide →A search strategy should evolve as you learn how the literature is described, but refinement can quietly change what the search means. Learn how to improve terminology, fields, operators, and database-specific syntax while keeping the underlying research question stable.
Read Guide →There is always another synonym, spelling variant, acronym, or related expression you could add to a database search. The useful stopping point comes when additional terms no longer meaningfully improve retrieval of relevant literature.
Read Guide →A search strategy can contain hundreds of terms and still retrieve the wrong literature. Length reflects complexity, not necessarily quality, so every concept, term, operator, and restriction still needs justification.
Read Guide →A research question and a database search string serve different purposes. Some concepts that are essential for deciding study eligibility may be poor retrieval concepts and can make the search unnecessarily restrictive.
Read Guide →An outcome may be essential to your research question without being a reliable search concept. Leaving it out can protect search sensitivity when outcomes are inconsistently described in titles, abstracts, or indexing.
Read Guide →A required study design does not always need to become a database search restriction. Design terms and filters can improve precision, but unreliable terminology or poorly performing filters may cause relevant studies to disappear.
Read Guide →Population filters can make a search more manageable, but they depend on how populations are described and indexed. When that information is incomplete or inconsistent, screening may be safer than restricting retrieval.
Read Guide →Database filters are convenient, but they are retrieval rules rather than guarantees of relevance. Depending on indexing, metadata, and filter design, an eligible study can disappear when a seemingly reasonable restriction is applied.
Read Guide →A sensitive search retrieves a high proportion of the relevant evidence that could reasonably be found. Because the complete set of relevant studies is usually unknown, sensitivity must be assessed through benchmark records, missed-study analysis, complementary searching, and other diagnostic evidence.
Read Guide →A precise search retrieves a relatively high proportion of relevant records, but there is no universal percentage that makes a search precise enough. The appropriate level depends on the purpose of the search, screening burden, and sensitivity you would sacrifice to improve it.
Read Guide →Sensitivity and precision measure different aspects of search performance, and improving one can sometimes worsen the other. Which deserves greater emphasis depends on what the search is intended to accomplish.
Read Guide →Irrelevant papers do not necessarily mean your database search is badly designed. Learn how to diagnose where the noise is coming from and improve precision without sacrificing important studies.
Read Guide →If a paper you know exists does not appear in your database search, treat it as a diagnostic clue. Trace why the search missed it before simply adding more terms.
Read Guide →A single broad or ambiguous term can overwhelm an otherwise sensible database search. Learn how to measure its contribution and fix the term without weakening the whole strategy.
Read Guide →A search that works in PubMed cannot usually be copied unchanged into another database. Preserve the concepts and logic, then rebuild the syntax and controlled vocabulary for the destination platform.
Read Guide →A long search is not necessarily a bad search, but complexity becomes a problem when you can no longer explain, test, translate, or update it reliably. Learn how to simplify the structure without casually sacrificing retrieval.
Read Guide →Repeatedly editing a search can eventually produce more complexity without better retrieval. Learn how to recognize when another small revision is unlikely to help and a structured rebuild is more defensible.
Read Guide →Some search problems are difficult to detect from inside a strategy you built yourself. Learn when expert review is worthwhile, what a research librarian can examine, and when to involve one.
Read Guide →A paper can profoundly influence a field while containing methodological weaknesses that later research exposes. Historical influence and methodological strength are related questions, not interchangeable judgments.
Read Guide →You do not need to repeat the same literature searches every week to stay current. Build a monitoring system using saved searches, database alerts, citation alerts, journal notifications, and a short routine for reviewing what arrives.
Read Guide →There is no universal number of years that makes research “current.” The right time frame depends on what you are studying, how quickly the field changes, and what role each source plays in your argument.
Read Guide →A literature review should represent the relevant state of knowledge, not simply maximize the percentage of recent citations. Recent research matters, but older foundational and still-relevant studies may be equally necessary.
Read Guide →A major review can give you a strong starting point, but its publication date does not tell you where its evidence ends. Find its last search date, understand how it searched, then systematically retrieve the research that appeared afterward.
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