COMPARING EPIDEMIOLOGICAL METHODS IN DETECTING DRUG SAFETY SIGNAL IN IRAN

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SHALVIRI G.; MOHAMMAD K.; MAJDZADEH S.R.; GHOLAMI K.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Epidemiology Year:2005 | Volume:1 | Issue:1 Page(s): 17-26

Download Full-Text

Persian Verion

View:

1,396

Download:

Cites:

Information Journal Paper

Title

COMPARING EPIDEMIOLOGICAL METHODS IN DETECTING DRUG SAFETY SIGNAL IN IRAN

Author(s)

SHALVIRI G. | MOHAMMAD K. | MAJDZADEH S.R. | GHOLAMI K. | Issue Writer Certificate

Keywords

ADVERSE DRUG REACTIONSQ3

PHARMACOVIGILANCEQ4

SIGNALQ4

DRUG SAFETYQ4

Abstract

Background and Objectives: To compare three different methods of SIGNAL detection applied to the ADVERSE DRUG REACTIONS registered in the Iranian PHARMACOVIGILANCE database from 1998 to 2005.Materials and Methods: All ADVERSE DRUG REACTIONS (ADRs) reported to Iranian PHARMACOVIGILANCE Center from March 1998 through January 2005, were included in the analysis.The data were analyzed based on three different SIGNAL detection methods including Reporting Odds Ratios (PRRs), Bayesian Propagation Neural Network (BCPNN) and Reporting Odds Ratios (RORs). SIGNALs detected by each method were categorized based on the number of reports per drug-adverse event combination, severity of the event and labeled or unlabeled ADRs. The methods applied to SIGNAL detection were then compared in recognizing different types of adverse events.Results: A total of 6353 cases of ADR reports, describing 11130 reactions, were reported to Iranian PHARMACOVIGILANCE Center (IPC) during the study period. The dataset involved 4975 drug-event combinations, which were assessed for detecting SIGNALs.The counts of drug-event combinations was 1, 2 and 3 or more for 3470, 727 and 779 combinations, respectively. There were 500 drug items responsible for 468 reaction terms in the database. According to PRR and 95% Confidence Interval, there were 2838, 872 and 488 drug-event combinations known as a SIGNAL for the pairs with the reporting frequency of ³1, ³2 and ³3 reports, respectively. The SIGNALs detected with the criteria of PRR³2, c2³4 were 2930, 872 and 480 for the pairs with the same reporting frequencies.Estimates of RORs and the 95% Confidence Interval showed that 2722, 862 and 481 drug-event combinations were detected to be SIGNAL for the pairs with the reporting frequency of ³1, ³2 and ³3 reports, respectively, while measuring IC and IC-2SD detected 1120, 378 and 235 cases for the same reporting frequencies. There were 234 SIGNALs detected by all three methods.Conclusion: Despite the similarities between data mining methodologies for SIGNAL detection, there are differences in the numbers of SIGNALs detected by each method. The study findings suggest that quantitative SIGNAL detection methods should be added to the routine PHARMACOVIGILANCE activities in Iran and the trends for quantitative measures over time should be monitored.

Cites

No record.

References

No record.

Cite

APA: Copy

SHALVIRI, G., MOHAMMAD, K., MAJDZADEH, S.R., & GHOLAMI, K.. (2005). COMPARING EPIDEMIOLOGICAL METHODS IN DETECTING DRUG SAFETY SIGNAL IN IRAN. IRANIAN JOURNAL OF EPIDEMIOLOGY, 1(1), 17-26. SID. https://sid.ir/paper/120598/en

Vancouver: Copy

SHALVIRI G., MOHAMMAD K., MAJDZADEH S.R., GHOLAMI K.. COMPARING EPIDEMIOLOGICAL METHODS IN DETECTING DRUG SAFETY SIGNAL IN IRAN. IRANIAN JOURNAL OF EPIDEMIOLOGY[Internet]. 2005;1(1):17-26. Available from: https://sid.ir/paper/120598/en

IEEE: Copy

G. SHALVIRI, K. MOHAMMAD, S.R. MAJDZADEH, and K. GHOLAMI, “COMPARING EPIDEMIOLOGICAL METHODS IN DETECTING DRUG SAFETY SIGNAL IN IRAN,” IRANIAN JOURNAL OF EPIDEMIOLOGY, vol. 1, no. 1, pp. 17–26, 2005, [Online]. Available: https://sid.ir/paper/120598/en

Related Journal Papers