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Pattern of Adverse Drug Reactions to Anticancer Drugs: A Quantitative and Qualitative Analysis

INTRODUCTION: Anticancer drugs contribute significantly to the global burden of adverse drug reactions (ADRs). Any attempt to quantify their magnitude and provide upgraded knowledge would help oncologists in writing safer prescriptions. AIM: This observational follow-up study was conducted on newly...

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Autores principales: Singh, Shruti, Dhasmana, DC, Bisht, Manisha, Singh, Prashant Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5582550/
https://www.ncbi.nlm.nih.gov/pubmed/28900321
http://dx.doi.org/10.4103/ijmpo.ijmpo_18_16
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author Singh, Shruti
Dhasmana, DC
Bisht, Manisha
Singh, Prashant Kumar
author_facet Singh, Shruti
Dhasmana, DC
Bisht, Manisha
Singh, Prashant Kumar
author_sort Singh, Shruti
collection PubMed
description INTRODUCTION: Anticancer drugs contribute significantly to the global burden of adverse drug reactions (ADRs). Any attempt to quantify their magnitude and provide upgraded knowledge would help oncologists in writing safer prescriptions. AIM: This observational follow-up study was conducted on newly diagnosed cancer patients receiving anticancer therapy with an aim to determine the frequency, severity, causality, predictability, and preventability of ADRs. SUBJECTS AND METHODS: The patients were followed up for 6 months for the appearance of adverse events. Data were analyzed using IBM SPSS Statistics for Windows, Version 22.0. (Armonk, NY) and presented in the form of descriptive statistics. RESULTS: Each patient was prescribed approximately 6.85 ± 1.51 (mean ± standard error) drugs on average. All the patients (100%) receiving anticancer chemotherapy had ADRs. Alopecia, nausea and vomiting, burning tingling, and numbness were the most frequently encountered ADRs. The incidence of alopecia (P < 0.0004), nausea (P < 0.03), and oral ulceration (P < 0.02) was higher in females. Maximum reactions were of Grade 2 (69.53%). Most of the reactions (75.80%) appeared within 10 days of receiving the first cycle. 99.58% reactions were not serious. According to the WHO – The Uppsala Monitoring Centre criteria, 99.47% ADRs fell in possible category. According to the Naranjo's algorithm, 100% ADRs fell in probable category. About 94.80% reactions were found to be predictable. About 56.47% reactions were probably preventable, and 43.53% reactions were not preventable. CONCLUSION: Multiple ADRs were seen in newly diagnosed cancer patients. Most of them were predictable, of mild-to-moderate severity, nonserious, and preventable. A majority of the ADRs recovered over time.
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spelling pubmed-55825502017-09-12 Pattern of Adverse Drug Reactions to Anticancer Drugs: A Quantitative and Qualitative Analysis Singh, Shruti Dhasmana, DC Bisht, Manisha Singh, Prashant Kumar Indian J Med Paediatr Oncol Original Article INTRODUCTION: Anticancer drugs contribute significantly to the global burden of adverse drug reactions (ADRs). Any attempt to quantify their magnitude and provide upgraded knowledge would help oncologists in writing safer prescriptions. AIM: This observational follow-up study was conducted on newly diagnosed cancer patients receiving anticancer therapy with an aim to determine the frequency, severity, causality, predictability, and preventability of ADRs. SUBJECTS AND METHODS: The patients were followed up for 6 months for the appearance of adverse events. Data were analyzed using IBM SPSS Statistics for Windows, Version 22.0. (Armonk, NY) and presented in the form of descriptive statistics. RESULTS: Each patient was prescribed approximately 6.85 ± 1.51 (mean ± standard error) drugs on average. All the patients (100%) receiving anticancer chemotherapy had ADRs. Alopecia, nausea and vomiting, burning tingling, and numbness were the most frequently encountered ADRs. The incidence of alopecia (P < 0.0004), nausea (P < 0.03), and oral ulceration (P < 0.02) was higher in females. Maximum reactions were of Grade 2 (69.53%). Most of the reactions (75.80%) appeared within 10 days of receiving the first cycle. 99.58% reactions were not serious. According to the WHO – The Uppsala Monitoring Centre criteria, 99.47% ADRs fell in possible category. According to the Naranjo's algorithm, 100% ADRs fell in probable category. About 94.80% reactions were found to be predictable. About 56.47% reactions were probably preventable, and 43.53% reactions were not preventable. CONCLUSION: Multiple ADRs were seen in newly diagnosed cancer patients. Most of them were predictable, of mild-to-moderate severity, nonserious, and preventable. A majority of the ADRs recovered over time. Medknow Publications & Media Pvt Ltd 2017 /pmc/articles/PMC5582550/ /pubmed/28900321 http://dx.doi.org/10.4103/ijmpo.ijmpo_18_16 Text en Copyright: © 2017 Indian Journal of Medical and Paediatric Oncology http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Singh, Shruti
Dhasmana, DC
Bisht, Manisha
Singh, Prashant Kumar
Pattern of Adverse Drug Reactions to Anticancer Drugs: A Quantitative and Qualitative Analysis
title Pattern of Adverse Drug Reactions to Anticancer Drugs: A Quantitative and Qualitative Analysis
title_full Pattern of Adverse Drug Reactions to Anticancer Drugs: A Quantitative and Qualitative Analysis
title_fullStr Pattern of Adverse Drug Reactions to Anticancer Drugs: A Quantitative and Qualitative Analysis
title_full_unstemmed Pattern of Adverse Drug Reactions to Anticancer Drugs: A Quantitative and Qualitative Analysis
title_short Pattern of Adverse Drug Reactions to Anticancer Drugs: A Quantitative and Qualitative Analysis
title_sort pattern of adverse drug reactions to anticancer drugs: a quantitative and qualitative analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5582550/
https://www.ncbi.nlm.nih.gov/pubmed/28900321
http://dx.doi.org/10.4103/ijmpo.ijmpo_18_16
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