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Dataset Information

Development and validation of a clinical prediction model for endocervical curettage decision-making in cervical lesions.


ABSTRACT:

Background

In the absence of practical and reliable predictors for whether the endocervical curettage (ECC) procedure should be performed, decisions regarding patient selection are usually based on the colposcopists' clinical judgment instead of evidence. We aimed to develop and validate a practical prediction model that uses available information to reliably estimate the need to perform ECC in patients suspected of having cervical lesions.

Methods

In this retrospective study, 2088 patients who underwent colposcopy, colposcopically directed biopsy (CDB) and ECC procedures between September 2019 and September 2020 at the Second Hospital of Shanxi Medical University were included. The data were analyzed with univariate and multivariable logistic regression. Least absolute shri

SUBMITTER: Li Y 

PROVIDER: S-EPMC8276473 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

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