2.Principles of transparency and clinical trial registration.
Translational and Clinical Pharmacology 2017;25(3):113-113
No abstract available.
3.Erratum: Clearance.
Translational and Clinical Pharmacology 2016;24(3):152-152
The third equation on page 44 should be corrected.
4.Erratum: R-based reproduction of the estimation process hidden behind NONMEM Part 2: First-order conditional estimation
Translational and Clinical Pharmacology 2018;26(2):99-99
The equations on page 162 should be corrected.
5.Erratum: Population Pharmacokinetic Analysis of Metformin Administered as Fixed-Dose Combination in Korean Healthy Adults
Suein CHOI ; Sangil JEON ; Seunghoon HAN ; Dong Seok YIM
Translational and Clinical Pharmacology 2018;26(3):143-143
In the published version of this article, the contents of Table 1 (‘Demographic characteristics of subjects’) are incorrect.
6.Analysis of 107 cases of chromosomal abnormalities.
Young Jae KIM ; Hyo Jin CHUN ; Dong Seok JEON ; Jae Ryong KIM ; Gyoung Yim HA
Korean Journal of Clinical Pathology 1992;12(4):513-522
No abstract available.
Chromosome Aberrations*
7.Frequently used antiviral agents in the clinical environment.
Journal of the Korean Medical Association 2011;54(5):530-536
More than 60 antiviral agents for various infectious diseases such as herpes, hepatitis, influenza, and AIDS are currently prescribed worldwide. Among the viral infections, hepatitis B and influenza are those frequently seen in primary care situations in Korea. This review discusses the anti-hepatitis B (HBV) drugs entecavir and adefovir, and the anti-influenza drugs oseltamivir and zanamivir. In addition, the pharmacology and therapeutic guidance suggested by the Korean Association for the Study of the Liver were reviewed for entecavir and adepovir, the most frequently prescribed anti-HBV drugs. For influenza, oseltamivir is commonly used despite debates on neuropsychiatric safety issues and zanamivir may be used when an inhalation form is necessary. Although currently used drugs show considerable clinical efficacy, efforts to optimize their use and further research to find new molecules that may overcome their limitations are necessary.
Adenine
;
Antiviral Agents
;
Communicable Diseases
;
Guanine
;
Hepatitis
;
Hepatitis B
;
Influenza, Human
;
Inhalation
;
Korea
;
Liver
;
Organophosphonates
;
Oseltamivir
;
Primary Health Care
;
Zanamivir
8.Simulation of the AUC Changes after Generic Substitution in Patients.
Journal of Korean Medical Science 2009;24(1):7-12
To address the debate on the safety of generic substitution quantitatively, the author compared the change in AUC in virtual patients who were simulated for several different scenarios of generic substitution. In four scenarios of original (branded) to generic and generic to generic substitution, 5,000 virtual patients were simulated per scenario using the programming software R. The mean population AUC of generics ranged from 90-110% (scenarios A and B) and 80-123.5% (scenarios C and D) of the AUC of the original. Those patients who had an AUC change (ratio) as a result of drug substitution of less than 0.67 or greater than 1.5 were considered to be in potential danger due to the substitution. We found that less than 6% of patients fell outside of the cutoff range of 0.67-1.5 as a result of original to generic substitution. However, in the case of generic to generic substitution, the proportion was as high as 9-12%. This alerts us to the potential danger of generic substitution, especially for drugs with narrow therapeutic indices.
*Area Under Curve
;
Attitude to Health
;
Computer Simulation
;
Drug Prescriptions
;
Drugs, Generic/*pharmacokinetics/therapeutic use
;
Humans
;
Patients/psychology/statistics & numerical data
;
Software
;
Therapeutic Equivalency
9.Clearance.
Translational and Clinical Pharmacology 2015;23(2):42-45
This tutorial deals with basic concepts of clearance, the most important parameter in pharmacokinetics but often challenging for students in clinical pharmacology. Its relationships with dose, concentration and elimination rate are discussed using a physical model and examples of commonly used drugs, as well as its physiological aspects pertaining to the blood flow to differing organs. Finally, application of clearance to the calculation of maintenance dose rate and half-life is used to show how it is essential in pharmacotherapy and clinical pharmacology.
Drug Therapy
;
Half-Life
;
Humans
;
Pharmacokinetics
;
Pharmacology, Clinical
10.Volume of Distribution.
Translational and Clinical Pharmacology 2016;24(2):74-77
This tutorial deals with basic concepts of volume of distribution, the second most important parameter in pharmacokinetics but often challenging for students in clinical pharmacology. Its relationships with dose, concentration and amount in the body are discussed using a physical model and examples of commonly used drugs, as well as its physiological aspects pertaining to the physical volume of differing organs. Finally, application of volume of distribution to the calculation of loading dose and half-life is used to show how it is essential in pharmacotherapy and clinical pharmacology.
Drug Therapy
;
Half-Life
;
Humans
;
Pharmacokinetics
;
Pharmacology, Clinical