Building the powerful 10-minute office visit: Part II. Beginning a critical literature review.
OBJECTIVE
This is the second part in a series of sequential Tutorials in Clinical Research. The objective of this tutorial is to introduce methods of searching the vast stores of information now available, to review some of the computer resources available, to reintroduce the concept of an a priori design for the search, and to reveal the need for assessment of the clinical importance and validity of each pertinent article found.


METHODS
Tutorial.


METHODS
An open working group has been formed with the specific aim of surveying and translating the large volume of complex information on research design and statistics into easily understood, useable, and non-threatening tutorials for the busy practitioner. The hypotheses under which this work is conducted are highly intelligent, but extremely busy, surgeons are interested in evidence-based medicine and will increase personal participation in critical reading of the literature, pending an expanded familiarity with clinical research design and statistics.


RESULTS
Available resources for literature searching, methods of quick personal overviews, and quick question-specific reviews are discussed. Additionally, the methods, with examples, of beginning a critical literature review are presented.


CONCLUSIONS
Rapid, personal, critical literature review requires succinct formulation of the question, efficient search for the best available evidence, and critical appraisal of the pertinent individual articles to determine if sufficient evidence exists to support a clinical contention.
Neely
J G
JG
Department of Otolaryngology-Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri 63110, USA. jgneely@aol.com
Hartman
J M
JM
Wallace
M S
MS
D003627:Data Interpretation, Statistical; D019992:Databases as Topic; D004502:Education, Medical, Continuing; D019317:Evidence-Based Medicine; D013502:General Surgery; D006801:Humans; D007255:Information Services; D016247:Information Storage and Retrieval; D007256:Information Systems; D015203:Reproducibility of Results; D012106:Research / Q000706:statistics & numerical data; D012107:Research Design; D012196:Review Literature as Topic