title: Get the Diagnosis: an evidence-based medicine collaborative Wiki for diagnostic test accuracy.
abstract: BACKGROUND
  Despite widespread calls for its use, there are challenges to the implementation of evidence-based medicine (EBM) in clinical practice.
  
  
  METHODS
  In response to the challenges of finding timely, pertinent information on diagnostic test accuracy, we developed an online, crowd-sourced Wiki on diagnostic test accuracy called Get the Diagnosis (GTD, http://www.getthediagnosis.org).
  
  
  RESULTS
  Since its launch in November 2008 till October 2015, GTD has accumulated information on 300 diagnoses, with 1617 total diagnostic entries. There are a total of 1097 unique diagnostic tests with a mean of 5.4 tests (range 0-38) per diagnosis. 73% of entries (1182 of 1617) have an associated sensitivity and specificity and 89% of entries (1432 of 1617) have associated peer-reviewed literature citations. Altogether, GTD contains 474 unique literature citations. For a sample of three diagnoses, the search precision (percentage of relevant results in the first 30 entries) in GTD was 100% as compared with a range of 13.3%-63.3% for PubMed and between 6.7% and 76.7% for Google Scholar.
  
  
  CONCLUSIONS
  GTD offers a fast, precise and efficient way to look up diagnostic test accuracy. On three selected examples, GTD had a greater precision rate compared with PubMed and Google Scholar in identifying diagnostic test information. GTD is a free resource that complements other currently available resources.
authors.affiliation: Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
authors.forename: Mark M
authors.initials: MM
authors.lastname: Hammer
authors.affiliation: Department of Otolaryngology-Head and Neck Surgery, New York Presbyterian Hospital-Columbia and Weill Cornell Campuses, New York, New York, USA.
authors.forename: Gavriel D
authors.initials: GD
authors.lastname: Kohlberg
mesh_terms: D022126:Access to Information; D003299:Cooperative Behavior; D016208:Databases, Factual; D003955:Diagnostic Tests, Routine / Q000592:standards* / Q000706:statistics & numerical data*; D004502:Education, Medical, Continuing; D019317:Evidence-Based Medicine / Q000379:methods* / Q000639:trends; D006801:Humans; D020407:Internet; D008490:Medical Informatics / Q000379:methods*; D015203:Reproducibility of Results; D057386:Search Engine; D012680:Sensitivity and Specificity
keywords: EDUCATION & TRAINING (see Medical Education & Training)