Dynamic Vitamin D Trajectories and Prognostic Value in Breast Cancer Patients, 2020-2023

513 female patients with primary invasive breast cancer were enrolled between 2020 and 2023, with a median follow-up of 38.0 months. Serial serum vitamin D measurements were taken at baseline, mid-treatment, and post-treatment, and group-based trajectory modeling identified six distinct patterns. The study, authored by Lin-bo Yin and shared on figshare, found these dynamic trajectories to be an independent prognostic factor for event-free survival.

Use Cases

• Prognostic risk stratification based on dynamic vitamin D trajectory patterns.
• Training survival prediction models using clinical factors and serial biomarker data.
• Validating the performance of a prognostic nomogram incorporating age, tumor stage, molecular subtype, and trajectory risk group.

Strengths

• Dataset includes serial measurements from 513 patients at three predefined time points.
• Median follow-up duration of 38.0 months provides substantial longitudinal context.
• Analysis employed multivariable Cox regression and validation via concordance index and calibration curves.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal and patient population bias inherent to the single retrospective study.

Provenance

Source

figshare

Collection Method

Retrospective cohort study of patients treated between 2020 and 2023.

Time Range

2020 to 2023, with a median follow-up of 38.0 months.

Freshness

Last updated 2026-06-04 04:27:29; freshness should be verified.