Literature DB >> 7141007

Endometriosis: studies of a method for the design of a surgical staging system.

G D Adamson, L Frison, E J Lamb.   

Abstract

This study develops a method of identifying factors that predict pregnancy rates in patients with endometriosis. In 123 women, 60% had adhesions, 89% had implants, and 29% had endometriomas. The most common lesions were cul-de-sac implants (60%), ovarian implants (58%), and ovarian adhesions (55%). With no treatment, the life-table-estimated 3-year pregnancy rate was 40%; with oral contraceptives, 33%; and with surgery, 53%. Clustering techniques suggested new combinations of variables to be tested. We identified structures commonly involved simultaneously in a given patient, defined subgroups based on type of lesion, and developed a method to determine which factors were important in predicting outcome. In our patients, neither of two current methods of endometriosis staging predicted outcome. Further testing of the model systems suggested by the data may enable us to develop a staging system more predictive of pregnancy rates in endometriosis patients.

Entities:  

Keywords:  Adhesions; Age Factors; Biology; Data Analysis; Data Collection; Demographic Analysis; Demographic Factors; Endometrial Effects; Endometrium; Evaluation; Fertility; Fertility Measurements; Genitalia; Genitalia, Female; Life Table Method; Parity; Physiology; Population; Population Dynamics; Pregnancy; Pregnancy Outcomes; Pregnancy Rate; Reproduction; Research Methodology; Surgery; Treatment; Tubal Effects; Urogenital System; Uterus

Mesh:

Year:  1982        PMID: 7141007     DOI: 10.1016/s0015-0282(16)46690-2

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  2 in total

Review 1.  Current concepts in endometriosis.

Authors:  C A Molgaard; A L Golbeck; L Gresham
Journal:  West J Med       Date:  1985-07

Review 2.  World Endometriosis Research Foundation Endometriosis Phenome and Biobanking Harmonisation Project: I. Surgical phenotype data collection in endometriosis research.

Authors:  Christian M Becker; Marc R Laufer; Pamela Stratton; Lone Hummelshoj; Stacey A Missmer; Krina T Zondervan; G David Adamson
Journal:  Fertil Steril       Date:  2014-08-20       Impact factor: 7.329

  2 in total

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