Liver Fibrosis Screening Data for HIV Patients with Intermediate FIB-4 Scores

A 2026 study by Luis Ramos-Ruperto compares non-invasive fibrosis screening methods in two cohorts of people living with HIV. The data likely contains clinical measurements and model performance metrics for predicting liver stiffness thresholds. The dataset is hosted on figshare under a CC-BY-4.0 license.

Use Cases

• Evaluating the performance of APRI scores for fibrosis risk stratification based on the described sensitivity and predictive values.
• Benchmarking machine learning models against established non-invasive scores as described in the results.
• Analyzing the prevalence of significant fibrosis in HIV cohorts undergoing transient elastography.
• Developing simplified clinical decision tools for intermediate FIB-4 score cases based on the study's conclusions.

Strengths

• Includes data from two independent cohorts (London n=229 and Madrid n=188) for development and validation.
• Evaluates multiple prediction methods, including APRI and machine learning models, for two liver stiffness thresholds (≥7 kPa and ≥8 kPa).

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 small (91.2 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Analysis of clinical cohorts undergoing transient elastography.

Freshness

Last updated 2026-04-29 05:57:05; freshness should be verified.

Geography

London and Madrid cohorts.