CT Body Composition and Recompensation in Decompensated Cirrhosis Patients

A 46.1 KB Excel dataset from figshare, last updated May 5, 2026, by author hongxia zhang. It contains data from a study evaluating predictors of clinical recompensation in patients with decompensated cirrhosis, focusing on the influence of body composition abnormalities like sarcopenia and visceral obesity.

Use Cases

• Predicting clinical recompensation based on body composition abnormalities mentioned in the description.
• Analyzing the relationship between isolated sarcopenia and patient outcomes in cirrhosis.
• Investigating the combined effect of sarcopenia and visceral obesity on prognosis.
• Identifying potential therapeutic targets by characterizing body composition phenotypes.

Strengths

• Dataset is small (46.1 KB), facilitating quick download and initial exploration.
• Released under a permissive CC0-1.0 license, allowing for broad reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely contains clinical study data, potentially from patient records and CT scan analysis.

Freshness

Last updated 2026-05-05 07:18:54; freshness should be verified.