Skip to main content
Top
Published in: International Journal of Clinical Pharmacy 2/2020

01-04-2020 | Bisphosphonate | Research Article

Aromatase inhibitors associated osteonecrosis of jaw: signal refining to identify pseudo safety signals

Authors: Reddy Neha, Elsa Beulah, Bellapu Anusha, Sharma Vasista, Chacko Stephy, Viswam Subeesh

Published in: International Journal of Clinical Pharmacy | Issue 2/2020

Login to get access

Abstract

Background Signal generation through data mining algorithms is an innovative and emerging field in pharmacovigilance. Early detection of safety signals is important for public health safety. However, the possibility of generating pseudo signals should not be overlooked. Objective Our study aimed to identify potential signals of aromatase inhibitors associated Osteonecrosis of Jaw and assess the possibilities of the safety signal to be a pseudo signal/false positive in FDA Adverse Event Reporting System (FAERS). Setting Spontaneously reported data in FAERS database. Methods Data for this study were obtained from the public release of data in FAERS. OpenVigil, a pharmacovigilance analytical tool was used to access FAERS data. Reporting Odds Ratio (ROR) was used to assess the relation between the drug and adverse event. A value of ROR-1.96SE  > 1, (SE—standard error) was considered positive. Main outcome measure Signal strength. Results FAERS database had a total of 15,178 reports for Osteonecrosis of Jaw. Amongst which 617 reports were associated with aromatase inhibitors. Signal strength ROR (lower bound of the 95% CI) for letrozole, anastrozole and exemestane associated Osteonecrosis of Jaw without any background correction was 8.34, 6.64 and 15.14 respectively. Upon removing the reports of concomitantly administered drugs (bisphosphonates and denosumab), signal strength drastically decreased to 0.03, 0.36 and 0.47 for letrozole, anastrozole and exemestane respectively. The signal strength of bisphosphonates and denosumab associated Osteonecrosis of Jaw was not changed significantly upon removal of aromatase inhibitors. Conclusion Our study concluded that the signal generated for aromatase inhibitors associated Osteonecrosis of Jaw in FAERS database can be false positive. Careful background corrections with identification of those risk factors are imperative to exclude false positive results.
Literature
1.
go back to reference Kennedy DL, Goldman SA, Lillie RB. Spontaneous reporting in the United States. Pharmacoepidemiology, 3 ed. England: Wiley; 2000. p. 149–74. Kennedy DL, Goldman SA, Lillie RB. Spontaneous reporting in the United States. Pharmacoepidemiology, 3 ed. England: Wiley; 2000. p. 149–74.
2.
go back to reference Pal SN, Duncombe C, Falzon D, Olsson S. WHO strategy for collecting safety data in public health programmes: complementing spontaneous reporting systems. Drug Saf. 2013;36(2):75–81.PubMedPubMedCentralCrossRef Pal SN, Duncombe C, Falzon D, Olsson S. WHO strategy for collecting safety data in public health programmes: complementing spontaneous reporting systems. Drug Saf. 2013;36(2):75–81.PubMedPubMedCentralCrossRef
3.
go back to reference Organization WH. Safety of medicines: a guide to detecting and reporting adverse drug reactions: why health professionals need to take action. Geneva: World Health Organization; 2002. Organization WH. Safety of medicines: a guide to detecting and reporting adverse drug reactions: why health professionals need to take action. Geneva: World Health Organization; 2002.
4.
go back to reference Meyboom RH, Egberts AC, Edwards IR, Hekster YA, de Koning FH, Gribnau FW. Principles of signal detection in pharmacovigilance. Drug Saf. 1997;16(6):355–65.PubMedCrossRef Meyboom RH, Egberts AC, Edwards IR, Hekster YA, de Koning FH, Gribnau FW. Principles of signal detection in pharmacovigilance. Drug Saf. 1997;16(6):355–65.PubMedCrossRef
5.
go back to reference Härmark L, Van Grootheest A. Pharmacovigilance: methods, recent developments and future perspectives. Eur J Clin Pharmacol. 2008;64(8):743–52.PubMedCrossRef Härmark L, Van Grootheest A. Pharmacovigilance: methods, recent developments and future perspectives. Eur J Clin Pharmacol. 2008;64(8):743–52.PubMedCrossRef
6.
go back to reference Lindquist M, Ståhl M, Bate A, Edwards IR, Meyboom RH. A retrospective evaluation of a data mining approach to aid finding new adverse drug reaction signals in the WHO international database. Drug Saf. 2000;23(6):533–42.PubMedCrossRef Lindquist M, Ståhl M, Bate A, Edwards IR, Meyboom RH. A retrospective evaluation of a data mining approach to aid finding new adverse drug reaction signals in the WHO international database. Drug Saf. 2000;23(6):533–42.PubMedCrossRef
8.
9.
go back to reference Almenoff J, Tonning JM, Gould AL, Szarfman A, Hauben M, Ouellet-Hellstrom R, et al. Perspectives on the use of data mining in pharmacovigilance. Drug Saf. 2005;28(11):981–1007.PubMedCrossRef Almenoff J, Tonning JM, Gould AL, Szarfman A, Hauben M, Ouellet-Hellstrom R, et al. Perspectives on the use of data mining in pharmacovigilance. Drug Saf. 2005;28(11):981–1007.PubMedCrossRef
10.
go back to reference Ahmed I, Dalmasso C, Haramburu F, Thiessard F, Broët P, Tubert-Bitter P. False discovery rate estimation for frequentist pharmacovigilance signal detection methods. Biometrics. 2010;66(1):301–9.PubMedCrossRef Ahmed I, Dalmasso C, Haramburu F, Thiessard F, Broët P, Tubert-Bitter P. False discovery rate estimation for frequentist pharmacovigilance signal detection methods. Biometrics. 2010;66(1):301–9.PubMedCrossRef
12.
go back to reference Böhm R, von Hehn L, Herdegen T, Klein H-J, Bruhn O, Petri H, et al. OpenVigil FDA—inspection of US American adverse drug events pharmacovigilance data and novel clinical applications. PLoS ONE. 2016;11(6):e0157753.PubMedPubMedCentralCrossRef Böhm R, von Hehn L, Herdegen T, Klein H-J, Bruhn O, Petri H, et al. OpenVigil FDA—inspection of US American adverse drug events pharmacovigilance data and novel clinical applications. PLoS ONE. 2016;11(6):e0157753.PubMedPubMedCentralCrossRef
13.
go back to reference Poluzzi E, Raschi E, Piccinni C, De Ponti F (2012) Data mining techniques in pharmacovigilance: analysis of the publicly accessible FDA adverse event reporting system (AERS). In: Data mining applications in engineering and medicine, inTech. Poluzzi E, Raschi E, Piccinni C, De Ponti F (2012) Data mining techniques in pharmacovigilance: analysis of the publicly accessible FDA adverse event reporting system (AERS). In: Data mining applications in engineering and medicine, inTech.
14.
go back to reference Subeesh V, Singh H, Maheswari E, Beulah E. Novel adverse events of vortioxetine: a disproportionality analysis in USFDA adverse event reporting system database. Asian Journal of Psychiatry. 2017;30:152–6.PubMedCrossRef Subeesh V, Singh H, Maheswari E, Beulah E. Novel adverse events of vortioxetine: a disproportionality analysis in USFDA adverse event reporting system database. Asian Journal of Psychiatry. 2017;30:152–6.PubMedCrossRef
17.
go back to reference Grigoriev I, zu Castell W, Tsvetkov P, Antonov AV. AERS spider: an online interactive tool to mine statistical associations in adverse event reporting system. Pharmacoepidemiol Drug Saf. 2014;23(8):795–801.PubMed Grigoriev I, zu Castell W, Tsvetkov P, Antonov AV. AERS spider: an online interactive tool to mine statistical associations in adverse event reporting system. Pharmacoepidemiol Drug Saf. 2014;23(8):795–801.PubMed
18.
go back to reference Hauben M, Madigan D, Gerrits CM, Walsh L, Van Puijenbroek EP. The role of data mining in pharmacovigilance. Exp Opin Drug Saf. 2005;4(5):929–48.CrossRef Hauben M, Madigan D, Gerrits CM, Walsh L, Van Puijenbroek EP. The role of data mining in pharmacovigilance. Exp Opin Drug Saf. 2005;4(5):929–48.CrossRef
19.
go back to reference Hamadeh IS, Ngwa BA, Gong Y. Drug induced osteonecrosis of the jaw. Cancer Treat Rev. 2015;41(5):455–64.PubMedCrossRef Hamadeh IS, Ngwa BA, Gong Y. Drug induced osteonecrosis of the jaw. Cancer Treat Rev. 2015;41(5):455–64.PubMedCrossRef
21.
go back to reference Ruggiero SL, Dodson TB, Fantasia J, Goodday R, Aghaloo T, Mehrotra B, et al. American association of oral and maxillofacial surgeons position paper on medication-related osteonecrosis of the jaw—2014 update. J Oral Maxillofac Surg. 2014;72(10):1938–56.PubMedCrossRef Ruggiero SL, Dodson TB, Fantasia J, Goodday R, Aghaloo T, Mehrotra B, et al. American association of oral and maxillofacial surgeons position paper on medication-related osteonecrosis of the jaw—2014 update. J Oral Maxillofac Surg. 2014;72(10):1938–56.PubMedCrossRef
22.
go back to reference Nicolatou-Galitis O, Schiødt M, Mendes RA, Ripamonti C, Hope S, Drudge-Coates L, et al. Medication-related osteonecrosis of the jaw: definition and best practice for prevention, diagnosis, and treatment. Oral Surg Oral Med Oral Pathol Oral Radiol. 2019;127(2):117–35.PubMedCrossRef Nicolatou-Galitis O, Schiødt M, Mendes RA, Ripamonti C, Hope S, Drudge-Coates L, et al. Medication-related osteonecrosis of the jaw: definition and best practice for prevention, diagnosis, and treatment. Oral Surg Oral Med Oral Pathol Oral Radiol. 2019;127(2):117–35.PubMedCrossRef
Metadata
Title
Aromatase inhibitors associated osteonecrosis of jaw: signal refining to identify pseudo safety signals
Authors
Reddy Neha
Elsa Beulah
Bellapu Anusha
Sharma Vasista
Chacko Stephy
Viswam Subeesh
Publication date
01-04-2020
Publisher
Springer International Publishing
Published in
International Journal of Clinical Pharmacy / Issue 2/2020
Print ISSN: 2210-7703
Electronic ISSN: 2210-7711
DOI
https://doi.org/10.1007/s11096-020-01018-z

Other articles of this Issue 2/2020

International Journal of Clinical Pharmacy 2/2020 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.