title: Developing efficient search strategies to identify reports of adverse effects in MEDLINE and EMBASE.
abstract: OBJECTIVE
  This study aimed to assess the performance, in terms of sensitivity and precision, of different approaches to searching MEDLINE and EMBASE to identify studies of adverse effects.
  
  
  METHODS
  Five approaches to searching for adverse effects evidence were identified: approach 1, using specified adverse effects; approach 2, using subheadings/qualifiers; approach 3, using text words; approach 4, using indexing terms; approach 5, searching for specific study designs. The sensitivity and precision of these five approaches, and combinations of these approaches, were compared in a case study using a systematic review of the adverse effects of seven anti-epileptic drugs.
  
  
  RESULTS
  The most sensitive search strategy in MEDLINE (97.0%) required a combination of terms for specified adverse effects, floating subheadings, and text words for 'adverse effects'. In EMBASE, a combination of terms for specified adverse effects and text words for 'adverse effects' provided the most sensitive search strategy (98.6%). Both these search strategies yielded low precision (2.8%).
  
  
  CONCLUSIONS
  A highly sensitive search in either database requires a combination of approaches, and has low precision. This suggests that better reporting and indexing of adverse effects is required and that an effective generic search filter may not yet be feasible.
authors.affiliation: Centre for Reviews and Dissemination, University of York, UK. spg3@york.ac.uk
authors.forename: Su
authors.initials: S
authors.lastname: Golder
authors.forename: Heather M
authors.initials: HM
authors.lastname: McIntosh
authors.forename: Steve
authors.initials: S
authors.lastname: Duffy
authors.forename: Julie
authors.initials: J
authors.lastname: Glanville
mesh_terms: D000043:Abstracting and Indexing / Q000592:standards; D000927:Anticonvulsants / Q000009:adverse effects*; D016206:Databases, Bibliographic / Q000706:statistics & numerical data*; D011307:Drug Prescriptions; D004526:Efficiency; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D016239:MEDLINE / Q000706:statistics & numerical data; D046650:Medical Subject Headings; D016032:Randomized Controlled Trials as Topic; D012107:Research Design; D012680:Sensitivity and Specificity; D013358:Subject Headings
chemical_list: D000927:Anticonvulsants