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

Autor: Wojtyniak JG; Clinical Pharmacy, Saarland University, Saarbrücken, Germany.; Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany., Britz H; Clinical Pharmacy, Saarland University, Saarbrücken, Germany., Selzer D; Clinical Pharmacy, Saarland University, Saarbrücken, Germany., Schwab M; Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany.; Department of Clinical Pharmacology, Pharmacy and Biochemistry, University Tübingen, Tübingen, Germany.; Cluster of Excellence iFIT (EXC2180) 'Image-guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany., Lehr T; Clinical Pharmacy, Saarland University, Saarbrücken, Germany.
Jazyk: angličtina
Zdroj: CPT: pharmacometrics & systems pharmacology [CPT Pharmacometrics Syst Pharmacol] 2020 Jun; Vol. 9 (6), pp. 322-331. Date of Electronic Publication: 2020 Jun 16.
DOI: 10.1002/psp4.12511
Abstrakt: 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.
(© 2020 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.)
Databáze: MEDLINE
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