Here, we present a protocol for retrieving, validating, and analyzing Web of Science Core Collection records on Caenorhabditis elegans and aging using CiteSpace, VOSviewer, Bibliometrix, and Scimago Graphica for reproducible bibliometric mapping.

the-trends-prospects-research-on-caenorhabditis-elegans-aging-area

The Trends and Prospects of Research on Caenorhabditis elegans in the Aging Area: a Bibliometric and Visualization Analysis

Aging is a complex biological phenomenon characterized by the progressive deterioration of physiological functions and increased vulnerability to ...

This study evaluates prognostic systems for colorectal signet-ring cell carcinoma patients using machine learning models and competing risk analyses. It identifies log odds of positive lymph nodes as a superior predictor compared to pN staging, demonstrating strong predictive performance and aiding clinical decision-making through robust survival prediction tools.

comparison-predictive-performance-three-lymph-node-staging-systems

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Lymph node status is a critical prognostic predictor for patients; however, the prognosis of colorectal signet-ring cell carcinoma (SRCC) has garnered ...

Institution - Tianjin Key Laboratory of Precise Vascular Reconstruction and Organ Function Repair

Articles Published in JoVE