2026-06-20T06:18:35Z https://api.figshare.com/v2/oai
oai:figshare.com:article/30306319 2026-04-08T00:10:10Z category_24862 category_24850 portal_549 item_type_3 month_year_04_2026
10.5522/04/30306319.v1 https://figshare.com/articles/dataset/_b_Extracted_dataset_of_pharmacokinetic_pharmacodynamic_PK_PD_indices_from_53_published_murine_thigh_and_hollow_fibre_infection_model_systematic_review_and_re-analysis_b_/30306319 https://ndownloader.figshare.com/files/58570840 https://ndownloader.figshare.com/files/58570843 https://ndownloader.figshare.com/files/58570846 https://ndownloader.figshare.com/files/58580851 Alabdulkarim, Najla Najla Alabdulkarim 0000-0002-5887-8583 Readman, John John Readman Mead, Andrew Andrew Mead Oakley, Robert Robert Oakley Wenker, Suzanne Suzanne Wenker Kembou, Japhette Japhette Kembou Azzariti, Stefano Stefano Azzariti Standing, Joseph Joseph Standing <![CDATA[<b>Extracted dataset of pharmacokinetic/pharmacodynamic (PK/PD) indices from 53 published murine thigh and hollow fibre infection model (systematic review and re-analysis)</b>]]> Pharmaceutical sciences Basic pharmacology PKPD index pharmacokinetic and pharmacodynamic model PKPD modelling 2025-10-29 2026-04-08 Dataset 2026 University College London This dataset contains numerical data extracted from published pharmacodynamic studies evaluating relationships between pharmacokinetic/pharmacodynamic (PK/PD) indices (AUC/MIC, Cmax/MIC, and %T>MIC) and bacterial count changes (CFU).

Values were digitised from published figures using WebPlotDigitizer and re-analysed to estimate EC50 values and model parameters (E0, Emax).


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