Meta-analysis of prediction models for predicting lymph node metastasis in thyroid cancer.

ABSTRACT:

Background

The purpose of this systematic review and meta-analysis is to assess the efficacy of various machine learning (ML) techniques in predicting preoperative lymph node metastasis (LNM) in patients diagnosed with papillary thyroid carcinoma (PTC). Although prior studies have investigated the potential of ML in this context, the current evidence is not sufficiently strong. Hence, we undertook a thorough analysis to ascertain the predictive accuracy of different ML models and their practical relevance in predicting preoperative LNM in PTC patients.

Materials and methods

In our search, we thoroughly examined PubMed, Cochrane Library, Embase, and Web of Science, encompassing their complete database history until December 3rd, 2022. To evaluate the potential bias in the mac

SUBMITTER: Liu F 

PROVIDER: S-EPMC11494801 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature