Univariate and multivariate analysis to identify independent predictors of the early stages of extrinsic adenomyosis.

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This study performed univariate and multivariate analyses to identify independent predictors of early-stage extrinsic adenomyosis.

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This paper analyzes clinicopathological features across adenomyosis subtypes, with an emphasis on early lesions, to identify factors associated with early stages of extrinsic adenomyosis. Using univariate and multivariate statistical analyses, it reports which variables are independent predictors of early extrinsic adenomyosis stage. A key limitation is that the findings are constrained to the study’s clinicopathological dataset and to the specific subtypes/early-stage definitions used in the analysis. This paper is centrally about adenomyosis — specifically identifying independent predictors of early stages of extrinsic adenomyosis.

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Abstract

Univariate and multivariate analysis to identify independent predictors of the early stages of extrinsic adenomyosis.
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Clinicopathological features of different subtypes in adenomyosis: Focus on early lesions Table 3 Univariate and multivariate analysis to identify independent predictors of the early stages of extrinsic adenomyosis. Skip to main content Advertisement Browse Subject Areas ? Click through the PLOS taxonomy to find articles in your field. For more information about PLOS Subject Areas, click here. Univariate and multivariate analysis to identify independent predictors of the early stages of extrinsic adenomyosis.

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adenomyosis

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last seen: 2026-05-11T08:38:06.250797+00:00
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