Hepatitis C Treatment Optimisation Data from Systematic Review and Meta-Analysis

A data archive supporting a systematic review and meta-analysis on hepatitis C treatment optimisation in the era of combination direct-acting antiviral therapy. The archive includes extracted trial data, meta-regression results, and supplementary materials like risk-of-bias assessments and a PRISMA checklist. The data was compiled by author Christopher R. Jones and relates to studies up to July 2019.

Use Cases

• Replicate meta-analysis results based on the provided Stata .do file and extracted data sheet.
• Assess risk of bias in included clinical trials based on the supplementary figures using Cochrane Review Manager tools.
• Analyze factors associated with sustained virologic response (SVR) rates using the meta-regression tables.
• Review the search strategy and study selection process documented in the PRISMA checklist and supplementary tables.

Strengths

• Includes the original Stata .do file used for analysis, supporting reproducibility.
• Contains multiple structured supplementary files, including risk-of-bias assessments and a completed PRISMA 2009 checklist.
• Data extraction covers specific clinical outcomes like intention-to-treat and per-protocol SVR rates.

Limitations

• Row count and specific column definitions for the main data sheet are unknown, limiting suitability assessment.
• Last update date is unknown; freshness unverified.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

paperswithcode

Collection Method

Systematic review and meta-analysis of clinical trials; data extracted from included studies.

Time Range

Studies included up to July 2019.