Pharmacokinetic/Pharmacodynamic Indices from 53 Murine Infection Model Studies

A 2026 dataset by Najla Alabdulkarim contains numerical PK/PD indices and bacterial count changes extracted from 53 published pharmacodynamic studies. Data were digitized from figures using WebPlotDigitizer and re-analyzed to estimate model parameters. The dataset is available under a CC-BY-4.0 license and is approximately 541 KB in size.

Use Cases

• Modeling dose-response relationships based on extracted PK/PD indices (AUC/MIC, Cmax/MIC, %T>MIC).
• Estimating EC50 values and model parameters (E0, Emax) from digitized bacterial count (CFU) data.
• Conducting meta-analysis of pharmacodynamic outcomes across multiple murine thigh and hollow fibre infection model studies.

Strengths

• Data is derived from a systematic review of 53 published studies, providing a consolidated source.
• Values were digitized and re-analyzed using a standardized tool (WebPlotDigitizer) for consistency.
• Includes key PK/PD indices (AUC/MIC, Cmax/MIC, %T>MIC) and bacterial count changes (CFU).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Data may reflect publication bias inherent to the systematic review of existing literature.

Provenance

Source

figshare, author Najla Alabdulkarim.

Collection Method

Digitized from published figures using WebPlotDigitizer and re-analyzed.

Time Range

Temporal coverage of the source studies is not specified.

Freshness

Last updated 2026-04-08 00:10:10; freshness should be verified.

Geography

Spatial coverage is not specified.