title: Meta-analysis of the clinical and laboratory diagnosis of appendicitis.
abstract: BACKGROUND
  The importance of specific elements in the clinical diagnosis of appendicitis is controversial. This review analyses the diagnostic value of elements of disease history, clinical findings and laboratory test results in suspected appendicitis.
  
  
  METHODS
  A systematic Medline search was made of all published studies on the clinical and laboratory diagnosis of appendicitis in patients admitted to hospital with suspected disease. Meta-analyses of receiver-operator characteristic (ROC) areas, and positive and negative likelihood ratios, of 28 diagnostic variables described in 24 studies are presented.
  
  
  RESULTS
  Inflammatory response variables (granulocyte count, proportion of polymorphonuclear blood cells, white blood cell count and C-reactive protein concentration), descriptors of peritoneal irritation (rebound and percussion tenderness, guarding and rigidity) and migration of pain were the strongest discriminators, with ROC areas of 0.78 to 0.68. The discriminatory power of the inflammatory variables was particularly strong for perforated appendicitis, with ROC areas of 0.85 to 0.87. Appendicitis was likely when two or more inflammatory variables were increased and unlikely when all were normal.
  
  
  CONCLUSIONS
  Although all clinical and laboratory variables are weak discriminators individually, they achieve a high discriminatory power when combined. Laboratory examination of the inflammatory response, clinical descriptors of peritoneal irritation, and a history of migration of pain yield the most important diagnostic information and should be included in any diagnostic assessment.
authors.affiliation: Department of Surgery, County Hospital Ryhov, SE-551 85 Jönköping, Sweden. roland.andersson@ltjkpg.se
authors.forename: R E B
authors.initials: RE
authors.lastname: Andersson
mesh_terms: D001064:Appendicitis / Q000175:diagnosis*; D019411:Clinical Laboratory Techniques / Q000592:standards*; D006801:Humans; D011237:Predictive Value of Tests; D012680:Sensitivity and Specificity