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Dataset Information

Comprehensive characterization of endometriosis patients and disease patterns in a large clinical cohort.


ABSTRACT:

Purpose

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.

Methods

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

SUBMITTER: Blum S 

PROVIDER: S-EPMC8967757 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature