title: Can staging systems for endometriosis based on anatomic location and lesion type predict pregnancy rates?
abstract: OBJECTIVE
  Development of an endometriosis classification system based on empirically derived stages of the disease, to supplant the Acosta (1973), Kistner (1977), and American Fertility Society (1985) classifications, which are based on arbitrarily defined stages and often fail to predict pregnancy rates.
  
  
  METHODS
  Retrospective cohort analysis.
  
  
  METHODS
  University infertility clinic.
  
  
  METHODS
  Women with endometriosis and > or = 1 year of infertility. Diagnosis of endometriosis was made by direct visualization, with type of lesion (implant or adhesion) at multiple sites recorded; total of 202 patients. All diagnosed infertility problems were treated based on semen analysis, postcoital test, and endometrial biopsy. Pregnancy rates were analyzed by life-table and cluster analyses, and combinations of site and type were also analyzed by Cox's regression model.
  
  
  RESULTS
  No individual anatomic site or type significantly affected prognosis, nor was any cluster useful for predicting outcome.
  
  
  CONCLUSIONS
  Anatomic site and type of lesion are insufficient for predicting fertility when used as sole components of a clinical staging system for endometriosis.
authors.affiliation: Department of Gynecology and Obstetrics, Memorial Medical Center, Savannah, Georgia.
authors.forename: G P
authors.initials: GP
authors.lastname: Palmisano
authors.forename: G D
authors.initials: GD
authors.lastname: Adamson
authors.forename: E J
authors.initials: EJ
authors.lastname: Lamb
mesh_terms: D000328:Adult; D016000:Cluster Analysis; D015331:Cohort Studies; D003198:Computer Simulation; D004715:Endometriosis / Q000145:classification / Q000150:complications* / Q000473:pathology*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007247:Infertility, Female / Q000209:etiology*; D015993:Life Tables; D011379:Prognosis; D012044:Regression Analysis; D012189:Retrospective Studies; D000267:Tissue Adhesions