Search filters (often called 'hedges') are designed to improve retrieval of clinically relevant research from health science databases. Using search filters for a particular topic or methodology may improve your search sensitivity or decrease the number of irrelevant results.
Subject-based search filters for use in the PubMed database. These filters provide the best available evidence in palliative care related topics.
Standardised, systematic subject-based searches with known levels of performance. Topics include opthamology, primary health care, stroke, contraception, etc.
Allows you to efficiently retrieve integrated care literature via PubMed.
Provides targeted searches for references about National Standards topics.
Directory of topic-specific searches including bioethics, cancer, toxicology and more.
Search filters grouped by study design (eg. epidemiological studies) or focus (eg. quality of life).
Methodological search filters covering therapy, diagnosis, prognosis, etiology, economics, reviews, and qualitative studies. The McMaster filters are also embedded in the Ovid databases at Austin Health.
A search interface to find citations in the areas of clinical study categories, systematic reviews and medical genetics
SIGN has devised search filters for: systematic reviews; RCTs; observational, diagnostic & economic studies; and patient issues.
When the 'humans' limit is added to a MEDLINE or Embase search it can exclude records not yet indexed or relevant records which have not had the 'human' index term applied. To ensure a thorough search, the following is recommended by Cochrane:
3 1 OR 2
4 exp animals/ NOT humans/
5 3 NOT 4
If you are using the Embase database, the syntax required is:
NOT ((exp animal/ or nonhuman/) NOT exp human/)