Data Sheet 1_Prognostic evaluation using nutrition-inflammation biomarkers from routine bl

163 newly diagnosed metastatic breast cancer patients form the basis of this retrospective study. Wen-xiong Nong authored this research, which evaluates 17 nutrition- and inflammation-related indices derived from routine blood tests for their prognostic value. The dataset was last updated on 2026-05-21.

Use Cases

• Training survival prediction models based on blood-derived indices like MLR and ALI.
• Evaluating feature selection algorithms for clinical data using the Boruta method mentioned in the description.
• Analyzing non-linear relationships between biomarkers and patient outcomes using restricted cubic spline regression.
• Conducting subgroup analysis to assess biomarker performance across different patient clinical characteristics.

Strengths

• Includes data from 163 patients with metastatic breast cancer.
• Evaluates 17 distinct nutrition- and inflammation-related indices.
• Applies multiple statistical methods, including Kaplan-Meier analysis, Cox regression, and the Boruta algorithm.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small in scale at 462.2 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Retrospective analysis of patient data.

Freshness

Last updated 2026-05-21 04:35:54; freshness should be verified.