Breast Cancer Patient Vitamin D Trajectories and Survival Outcomes, 2020-2023

A retrospective cohort of 513 female patients with primary invasive breast cancer treated between 2020 and 2023, with a median follow-up of 38.0 months. Serial serum vitamin D measurements were taken at three time points and analyzed using group-based trajectory modeling to identify six distinct patterns. The study, authored by Lin-bo Yin, evaluated the association between these dynamic vitamin D trajectories and event-free survival.

Use Cases

• Training survival prediction models based on dynamic vitamin D trajectories and clinical factors.
• Evaluating the prognostic value of longitudinal biomarker monitoring for breast cancer.
• Developing risk stratification tools based on group-based trajectory modeling of serial lab measurements.
• Benchmarking traditional prognostic models against nomograms incorporating dynamic biomarker data.

Strengths

• Dataset includes serial measurements from 513 patients at three predefined time points.
• Analysis identified six distinct vitamin D trajectories and associated them with survival outcomes via multivariable Cox regression.
• The integrated prognostic nomogram achieved a concordance index greater than 0.7.

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 bias inherent to the 2020-2023 collection period.

Provenance

Source

Lin-bo Yin via figshare.

Collection Method

Retrospective cohort study of patients with pathologically confirmed breast cancer.

Time Range

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

Freshness

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