Home|Journals|Articles by Year Follow on Twitter

Directory for Medical Articles

Open Access

Original Research

Evaluation of drug utilization pattern of anticancer drugs in oncology department of a tertiary care teaching hospital of southern Rajasthan

Sandeep Kumar Kamlekar, Ankit Agarwal, Aasha Latha P, Sangita Gupta.

Background: Cancer becomes major health burden on society, increased mortality rate in developing and developed countries. Chemotherapy plays a key role in the management of cancer. Drug utilization studies give an idea about the prescribing practice and characterize the early signals of irrational drug use.

Aims and Objective: The present study was designed to investigate the utilization pattern of anticancer drugs and incidence of cancer types at Oncology Department, Geetanjali Medical College and Hospital, Udaipur, Rajasthan.

Materials and Methods: One ninety two prescriptions of cancer effected patients were screened for anticancer drugs and supportive medications from February 1, 2019, to September 30, 2019, according to disease type, respectively.

Results: In our study, maximum cancer encountering age in both males and females was above 50 years, females are more predominant over males (female 53.64% vs. 46.35% males) with carcinoma of breast 15% followed by carcinoma of ovary 13% with carcinoma of lung 10% in males. Carboplatin 52.08% was the most commonly prescribed drug, followed by paclitaxel 45.31% and gemcitabine 33.85% along with adjuvants dexamethasone 100%, ranitidine 100%, and pantoprazole 35.93% successfully.

Conclusion: Carboplatin with other anticancer drugs was a safer combination for treating above-mentioned carcinomas.

Key words: Anticancer Drug; Drug Utilization; Oncology; Carcinoma

Similar Articles

Financial Toxicity and Shared Decision Making in Oncology.
Greenup RA
Surgical oncology clinics of North America. 2022; 31(1): 1-7

Drug-drug interaction between cannabidiol and phenobarbital in healthy dogs.
Doran CE, McGrath S, Bartner LR, Thomas B, Cribb AE, Gustafson DL
American journal of veterinary research. 2022; (): 1-9

Artificial Intelligence and Quantum Computing as the Next Pharma Disruptors.
Cova T, Vitorino C, Ferreira M, Nunes S, Rondon-Villarreal P, Pais A
Methods in molecular biology (Clifton, N.J.). 2022; 2390(): 321-347

Ultrahigh Throughput Protein-Ligand Docking with Deep Learning.
Clyde A
Methods in molecular biology (Clifton, N.J.). 2022; 2390(): 301-319

De Novo Molecular Design with Chemical Language Models.
Grisoni F, Schneider G
Methods in molecular biology (Clifton, N.J.). 2022; 2390(): 207-232

Full-text options

Latest Statistics about COVID-19
• pubstat.org

Add your Article(s) to Indexes
• citeindex.org

Covid-19 Trends and Statistics
Follow ScopeMed on Twitter
Author Tools
eJPort Journal Hosting
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
ScopeMed is a Database Service for Scientific Publications. Copyright ScopeMed Information Services.

ScopeMed Web Sites