Unknown

Dataset Information

Development and validation of a risk assessment model for predicting the failure of early medical abortions: A clinical prediction model study based on a systematic review and meta-analysis.


ABSTRACT:

Objective

As the first model in predicting the failure of early medical abortion (EMA) was inefficient, this study aims to develop and validate a risk assessment model for predicting the failure of EMAs more accurately in a clinical setting.

Methods

The derivation cohort was obtained from a comprehensive systematic review and meta-analysis. The clinically significant risk factors were identified and combined with their corresponding odds ratios to establish a risk assessment model. The risk factors were assigned scores based on their respective weightings. The model's performance was evaluated by an external validation cohort obtained from a tertiary hospital. The outcome was defined as the incidence of EMA failure.

Results

A total of 126,420 patients who had undergon

SUBMITTER: Liu AH 

PROVIDER: S-EPMC11661585 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature