Table 1_Longitudinal dynamics of symptom networks in patients with differentiated thyroid

A prospective cohort study of 520 patients with differentiated thyroid cancer assessed at three timepoints: pre-treatment, 48 hours post-treatment, and one week after discharge. The dataset contains results from Gaussian graphical models analyzing symptom network structure, strength centrality, bridge centrality, and predictability. The research was authored by Juan Deng and shared under a CC-BY-4.0 license on figshare.

Use Cases

• Analyzing changes in symptom network structure across treatment phases based on the three assessment timepoints.
• Identifying core and bridge symptoms in patient networks based on calculated strength and bridge centrality metrics.
• Investigating the predictability of treatment-related physical symptoms like throat/mouth discomfort as described in the results.
• Comparing network structural differences using statistical tests mentioned in the methods.

Strengths

• Longitudinal design with 520 patient records assessed at three specific clinical timepoints.
• Results include specific centrality metrics (e.g., psychological distress strength centrality: T0=1.405, T1=1.473, T2=1.640).
• Network comparison tests provide statistical significance values for structural differences (e.g., T0-T1: M=0.306, P=0.001).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 31.6 KB, indicating limited scope, likely containing summary results rather than raw patient-level data.

Provenance

Source

figshare

Collection Method

Prospective cohort study with symptom assessments using Gaussian graphical models and graphical LASSO.

Time Range

Covers three timepoints: pre-treatment, 48 hours post-treatment, and one week after discharge.

Freshness

Last updated 2026-04-30 04:16:43; freshness should be verified.