<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>305(4)</volume><submitter>Blum S</submitter><funding>Universitätsklinikum Erlangen</funding><pubmed_abstract>&lt;h4>Purpose&lt;/h4>In many diseases, it is possible to classify a heterogeneous group into subgroups relative to tumor biology, genetic variations, or clinical and pathological features. No such classification is available for endometriosis. In our retrospective case-case analysis we defined subgroups of endometriosis patients relative to the type and location of the endometriosis lesion and relative to basic patient characteristics.&lt;h4>Methods&lt;/h4>From June 2013 to July 2017, a total of 1576 patients with endometriosis diagnosed at surgery were included in this study. The patients' history and clinical data were documented using a web-based remote data entry system. To build subgroups, all possible combinations of endometriosis locations/types (peritoneal; ovarian endometriosis; deeply infil</pubmed_abstract><journal>Archives of gynecology and obstetrics</journal><pagination>977-984</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8967757</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Comprehensive characterization of endometriosis patients and disease patterns in a large clinical cohort.</pubmed_title><pmcid>PMC8967757</pmcid><pubmed_authors>Heindl F</pubmed_authors><pubmed_authors>Becker K</pubmed_authors><pubmed_authors>Lubrich H</pubmed_authors><pubmed_authors>Heusinger K</pubmed_authors><pubmed_authors>Born T</pubmed_authors><pubmed_authors>Fasching PA</pubmed_authors><pubmed_authors>Lermann J</pubmed_authors><pubmed_authors>Burghaus S</pubmed_authors><pubmed_authors>Hildebrandt T</pubmed_authors><pubmed_authors>Antoniadis S</pubmed_authors><pubmed_authors>Beckmann MW</pubmed_authors><pubmed_authors>Fahlbusch C</pubmed_authors><pubmed_authors>Blum S</pubmed_authors><pubmed_authors>Hein A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Comprehensive characterization of endometriosis patients and disease patterns in a large clinical cohort.</name><description>&lt;h4>Purpose&lt;/h4>In many diseases, it is possible to classify a heterogeneous group into subgroups relative to tumor biology, genetic variations, or clinical and pathological features. No such classification is available for endometriosis. In our retrospective case-case analysis we defined subgroups of endometriosis patients relative to the type and location of the endometriosis lesion and relative to basic patient characteristics.&lt;h4>Methods&lt;/h4>From June 2013 to July 2017, a total of 1576 patients with endometriosis diagnosed at surgery were included in this study. The patients' history and clinical data were documented using a web-based remote data entry system. To build subgroups, all possible combinations of endometriosis locations/types (peritoneal; ovarian endometriosis; deeply infil</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Apr</publication><modification>2025-04-04T08:24:26.385Z</modification><creation>2025-04-04T08:24:26.385Z</creation></dates><accession>S-EPMC8967757</accession><cross_references><pubmed>34448039</pubmed><doi>10.1007/s00404-021-06200-w</doi></cross_references></HashMap>