Work

Data Digitizing: Accurate and Precise Data Extraction for Quantitative Systems Pharmacology and Physiologically‐Based Pharmacokinetic Modeling

Year: 2020

Type: article

Abstract: In quantitative systems pharmacology (QSP) and physiologically-based pharmacokinetic (PBPK) modeling, data digitizing is a valuable tool to extract numerical information from published data presented as graphs. To quantify their relevance, a literature search revealed a remarkable mean increase of 16% per year in publications citing digitizing software together with QSP or PBPK. Accuracy, precision, confounder influence, and variability were investigated using scaled median symmetric accuracy (ζ), thus finding excellent accuracy (mean ζ = 0.99%). Although significant, no relevant confounders were found (mean ζ ± SD circles = 0.69% ± 0.68% vs. triangles = 1.3% ± 0.62%). Analysis of 181 literature peak plasma concentration values revealed a considerable discrepancy between reported and post hoc digitized data with 85% having ζ > 5%. Our findings suggest that data digitizing is precise and important. However, because the greatest pitfall comes from pre-existing errors, we recommend always making published data available as raw values.

Source: CPT Pharmacometrics & Systems Pharmacology

DOI: 10.1002/psp4.12511

Authors: Jan‐Georg Wojtyniak, Hannah Britz, Dominik Selzer, Matthias Schwab, Thorsten Lehr

Institutions: Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Saarland University, University of Tübingen

Language: English

Topic: Meta-analysis and systematic reviews

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $2,566

Funders: European Commission, Robert Bosch Stiftung, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung