Use of Preoperative Algorithm may prevent unnecessary oophorectomy during adolescence: JAMA
use of a preoperative risk stratification algorithm to identify lesions with a high likelihood of benign pathology that are appropriate for ovary-sparing surgery.;
A consensus-based preoperative risk stratification algorithm has been shown to dramatically reduce unnecessary oophorectomies in children and adolescents with ovarian masses. The findings of this study were published in the Journal of American Medical Association.
This research conducted in 11 children's hospitals in the United States between August 2018 and January 2021 aimed to evaluate the effectiveness of this algorithm in distinguishing between benign and malignant ovarian pathology, ultimately leading to fewer unnecessary surgeries.
The study involved 519 patients aged 6 to 21 years. Three phases were examined: a preintervention phase with 96 patients, an adoption phase with 105 patients, and the main intervention phase with 318 patients.
In the preintervention phase, 16.1% of patients underwent unnecessary oophorectomies. However, during the intervention phase, this percentage dropped significantly to 8.4%, marking an absolute reduction of 7.7%. This reduction is a testament to the effectiveness of the preoperative risk stratification algorithm.
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