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

Lin-bo Yin's retrospective cohort study analyzes serial serum vitamin D measurements from 513 female patients with primary invasive breast cancer treated between 2020 and 2023. The data includes measurements at baseline, mid-treatment, and post-treatment follow-up over a median of 38.0 months, used to model distinct vitamin D change patterns. The study evaluates the association between these dynamic trajectories and event-free survival, constructing a prognostic nomogram.

Use Cases

• Identify distinct longitudinal vitamin D change patterns in breast cancer patients based on serial serum measurements.
• Assess the association between dynamic vitamin D trajectories and event-free survival outcomes.
• Build a prognostic risk stratification model incorporating vitamin D patterns, age, tumor stage, and molecular subtype.
• Validate a prognostic nomogram's performance using concordance index, calibration curves, and decision curve analysis.

Strengths

• Dataset includes serial measurements from 513 patients at three predefined time points.
• Median follow-up duration of 38.0 months provides longitudinal context.
• Analysis employs group-based trajectory modeling and multivariable Cox regression, suggesting a structured methodological approach.

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 clinical bias inherent to the single retrospective cohort from 2020-2023.

Provenance

Source

Lin-bo Yin via figshare

Collection Method

Retrospective cohort study of patients with pathologically confirmed primary invasive breast cancer.

Time Range

2020 to 2023

Freshness

Last updated 2026-06-04 04:27:30; freshness should be verified.