Search String Builder

A search strategy is more than a list of keywords. It groups alternative expressions of one idea with OR, then connects the essential ideas with AND. For a question about exercise in adults with hypertension, one block might cover hypertension and related wording while another covers exercise and physical activity. A comparison with usual care may define eligibility without being searchable consistently. An outcome such as systolic blood pressure can improve specificity, but adding it as a mandatory block can also exclude studies whose abstracts describe outcomes differently.

For example, begin with hypertension OR high blood pressure OR hypertensive, then a separate exercise OR physical activity OR training block. These alternatives illustrate the grouping method, not a complete search for every exercise review. The generated list should be compared with terminology in relevant records before you choose its final scope.

The builder first proposes two to four labelled groups from your topic or PICO fields. It supplies free-text synonyms, candidate controlled headings and optional proximity phrases in a structured strategy. Regional spelling, plural or adjective forms and common abbreviations can help recover papers written with different terminology. Review every addition: a short abbreviation can have several meanings, and an apparently related term can change the population or intervention. The concept table lets you inspect this reasoning before trusting a long query.

Free-text searching and controlled vocabulary solve different problems. Free text can find new, unindexed or unusually described records. A controlled heading can bring together records indexed under a common concept, including narrower headings when exploded. The vocabularies are distinct collections: a MeSH label is not proof that an identically worded Emtree or CINAHL heading exists. The NLM check verifies candidate MeSH labels and descriptor IDs only. All other heading suggestions need confirmation inside the destination thesaurus; no proprietary thesaurus content is copied into a local catalogue.

Treat the generated strategy as an AI-assisted draft for reviewer confirmation. A well-formed Boolean expression can still miss a field’s preferred terminology, retrieve the wrong meaning of an abbreviation, or make an unnecessary outcome mandatory. Start with a small set of known relevant papers. Check whether each paper would be retrieved by the population and intervention blocks separately, then by the combined strategy. If a paper is missed, inspect its title, abstract and indexing to find the cause before adding more synonyms. More terms are useful only when they represent the intended concept.

Keep eligibility criteria separate from search constraints. A language restriction, human-study filter or study-design filter can remove recent or incompletely indexed records. Apply only justified limits using the destination interface controls, and record exactly what you selected. The saved concept strategy can carry structured limits and exclusions, but unsupported settings appear as adaptation notes and are not silently applied. Excluding records with NOT deserves particular care: a relevant study can mention the excluded population or treatment in its background.

Copy or download the edited query after testing it. Keep a search log alongside the plain-text export with the database and host, coverage segment, vocabulary release where available, date and time, exact executed string, selected filters, result count and platform warnings. The generated text alone is not a complete reproducibility record. Session storage keeps this tab’s draft and interface edits, but it is not a permanent project archive. Ask a librarian or information specialist to review a consequential review search before final execution; this tool does not certify recall, precision or methodological adequacy.