Finding relevant articles in large bibliographic databases such as PubMed, Ovid MEDLINE, and EMBASE to inform care and future research is challenging.
We tested a stopping strategy based on capture mark recapture (CMR; i.e., the Horizon Estimate) statistical modeling to estimate the total number of articles in the domain of clinical decision support tools for osteoporosis disease management using four large bibliographic databases (Medline, EMBASE, CINAHL, and EBM reviews).
A key source of this type of information is large bibliographic databases such as EMBASE.
Traditional information retrieval techniques typically return excessive output when directed at large bibliographic databases.
In a large bibliographic database such as MEDLINE, finding materials of particular interest to a specialty group, or relevant to a particular audience, can be difficult.
In this case, a small number of studies were found in several places across large international bibliographic databases, and for other studies, the research records were scattered across a range of search sources over the disciplines of medicine, social science and education.
With the information explosion, the retrieval of the best clinical evidence from large, general purpose, bibliographic databases such as MEDLINE can be difficult.
Scopus is the largest ever bibliographic database and indexes over 20 000 titles from science, technology, medicine and the social sciences, is updated daily and contains both the Medline and EMBASE databases.
The Clinical Hedges Study was designed with the objective of developing optimal search strategies to improve the retrieval of clinically relevant and scientifically sound study reports from large, general purpose, biomedical research bibliographic databases including MEDLINE, EMBASE, CINAHL, and PsycINFO.
PubMed/MEDLINE, maintained by the National Library of Medicine (NLM), is one of the largest and freely available biomedical bibliographic databases in the world [ 4- 7] and considered as one of the most important and reliable healthcare information source by healthcare professionals [ 8, 9].
To ensure that we are comprehensive and capture all relevant data, we will search Chinese bibliographic databases in addition to the large English (or other Latin alphabets) bibliographic databases such as MEDLINE and EMBASE.
