เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| Pharmacovigilance PRR/ROR× | การทดสอบการซึมผ่านของเซลล์ Caco-2× | แบบจำลองเภสัชพลศาสตร์ประชากร× | |
|---|---|---|---|
| สาขาวิชา | เภสัชวิทยา | เภสัชวิทยา | เภสัชวิทยา |
| ตระกูล | Process / pipeline | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 2002 | 1989 | 1992 |
| ผู้ริเริ่ม≠ | Arne Melander and colleagues | Ingrid Hidalgo | Lewis Sheiner and Stephen Roush |
| ประเภท≠ | safety signal detection | absorption screening | dose-response modeling |
| แหล่งต้นตำรับ≠ | Szarfman, A., Tonning, J. M., Doraiswamy, P. M., & Osgood, D. J. (2002). Pharmacovigilance in the post-marketing setting: establishing causal links between drugs and adverse events. Drug Safety, 25(9), 619-631. link ↗ | Hidalgo, I. J., Raub, T. J., & Borchardt, R. T. (1989). Characterization of the human colon carcinoma cell line (Caco-2) as a model system for intestinal epithelial permeability. Gastroenterology, 96(3), 736-749. DOI ↗ | Dahlström, B., & Nyberg, L. (1993). Population pharmacokinetics and pharmacodynamics. Clinical Pharmacokinetics, 24(1), 45-57. link ↗ |
| ชื่อเรียกอื่น≠ | PRR, ROR, signal detection, adverse event monitoring | Caco-2 assay, intestinal permeability, ADME screening | PopPD, population PD, hierarchical PD modeling |
| ที่เกี่ยวข้อง | 3 | 3 | 3 |
| สรุป≠ | Proportional Reporting Ratio (PRR) and Reporting Odds Ratio (ROR) are statistical methods for detecting safety signals in spontaneous adverse event reporting databases. Developed and formalized by researchers in the early 2000s, these measures identify drug-adverse event associations that warrant further investigation. | The Caco-2 assay is an in vitro model system using human colon carcinoma cell monolayers to screen drug intestinal permeability. Developed by Hidalgo and colleagues in 1989, Caco-2 cells differentiate into an epithelial barrier resembling intestinal mucosa, enabling rapid assessment of drug absorption potential and identification of transporter-mediated transport. | Population pharmacodynamic (PopPD) modeling integrates pharmacokinetics with individual dose-response relationships across patient populations to characterize drug efficacy and tolerability. Pioneered by Lewis Sheiner and colleagues, PopPD accounts for inter-individual variability in drug effects and enables rational dose optimization and response prediction. |
| ScholarGateชุดข้อมูล ↗ |
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