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Comparison of Nine Tools for Screening Drug-Drug Interactions of Oral Oncolytics
Patients with cancer are an especially vulnerable population to potential drug-drug interactions (DDIs). This makes it important to adequately screen them for DDIs. The objective of this study was to compare the abilities of nine DDI screening tools to detect clinically relevant interactions with or...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Clinical Oncology
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797246/ https://www.ncbi.nlm.nih.gov/pubmed/29787332 http://dx.doi.org/10.1200/JOP.18.00086 |
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author | Marcath, Lauren A. Xi, Jingyue Hoylman, Emily K. Kidwell, Kelley M. Kraft, Shawna L. Hertz, Daniel L. |
author_facet | Marcath, Lauren A. Xi, Jingyue Hoylman, Emily K. Kidwell, Kelley M. Kraft, Shawna L. Hertz, Daniel L. |
author_sort | Marcath, Lauren A. |
collection | PubMed |
description | Patients with cancer are an especially vulnerable population to potential drug-drug interactions (DDIs). This makes it important to adequately screen them for DDIs. The objective of this study was to compare the abilities of nine DDI screening tools to detect clinically relevant interactions with oral oncolytics. METHODS: Subscription-based tools (ie, PEPID, Micromedex, Lexicomp, Facts & Comparisons) and free tools (ie, Epocrates Free, Medscape, Drugs.com, RxList, WebMD) were compared for their abilities to detect clinically relevant DDIs for 145 drug pairs including an oral oncology agent. Clinical relevance was determined by a pharmacist using Stockley’s Drug Interactions. Descriptive statistics were calculated for each tool, including sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), and then compared grouped by free or subscription-based tools for the secondary analysis and analyzed via generalized estimating equations. RESULTS: For individual metrics, PPV had overall higher values (0.88 to 0.97) relative to the low values included for sensitivity (0.65 to 0.96), specificity (0.53 to 0.93) and NPV (0.38 to 0.83). The top-performing subscription and free tools, Lexicomp and Drugs.com, had no statistically significant differences in performance. Overall, subscription tools had a significantly higher sensitivity (0.85 ± 0.017 v 0.78 ± 0.017; P = .0082) and NPV (0.57 ± 0.039 v 0.48 ± 0.032; P = .031) than free tools. No differences were observed between the specificity and PPV. CONCLUSION: Due to the low performance of some tools for sensitivity, specificity, and NPV, individual performance should be examined and prioritized on the basis of the intended use when selecting a DDI tool. If a strong-performing subscription-based tool is unavailable, a strong-performing free option, like Drugs.com, is available. |
format | Online Article Text |
id | pubmed-9797246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Society of Clinical Oncology |
record_format | MEDLINE/PubMed |
spelling | pubmed-97972462022-12-29 Comparison of Nine Tools for Screening Drug-Drug Interactions of Oral Oncolytics Marcath, Lauren A. Xi, Jingyue Hoylman, Emily K. Kidwell, Kelley M. Kraft, Shawna L. Hertz, Daniel L. J Oncol Pract Original Contributions Patients with cancer are an especially vulnerable population to potential drug-drug interactions (DDIs). This makes it important to adequately screen them for DDIs. The objective of this study was to compare the abilities of nine DDI screening tools to detect clinically relevant interactions with oral oncolytics. METHODS: Subscription-based tools (ie, PEPID, Micromedex, Lexicomp, Facts & Comparisons) and free tools (ie, Epocrates Free, Medscape, Drugs.com, RxList, WebMD) were compared for their abilities to detect clinically relevant DDIs for 145 drug pairs including an oral oncology agent. Clinical relevance was determined by a pharmacist using Stockley’s Drug Interactions. Descriptive statistics were calculated for each tool, including sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), and then compared grouped by free or subscription-based tools for the secondary analysis and analyzed via generalized estimating equations. RESULTS: For individual metrics, PPV had overall higher values (0.88 to 0.97) relative to the low values included for sensitivity (0.65 to 0.96), specificity (0.53 to 0.93) and NPV (0.38 to 0.83). The top-performing subscription and free tools, Lexicomp and Drugs.com, had no statistically significant differences in performance. Overall, subscription tools had a significantly higher sensitivity (0.85 ± 0.017 v 0.78 ± 0.017; P = .0082) and NPV (0.57 ± 0.039 v 0.48 ± 0.032; P = .031) than free tools. No differences were observed between the specificity and PPV. CONCLUSION: Due to the low performance of some tools for sensitivity, specificity, and NPV, individual performance should be examined and prioritized on the basis of the intended use when selecting a DDI tool. If a strong-performing subscription-based tool is unavailable, a strong-performing free option, like Drugs.com, is available. American Society of Clinical Oncology 2018-06 2018-05-22 /pmc/articles/PMC9797246/ /pubmed/29787332 http://dx.doi.org/10.1200/JOP.18.00086 Text en Copyright © 2018 by American Society of Clinical Oncology https://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution Non-Commercial No Derivatives 4.0 License: https://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Original Contributions Marcath, Lauren A. Xi, Jingyue Hoylman, Emily K. Kidwell, Kelley M. Kraft, Shawna L. Hertz, Daniel L. Comparison of Nine Tools for Screening Drug-Drug Interactions of Oral Oncolytics |
title | Comparison of Nine Tools for Screening Drug-Drug Interactions of Oral Oncolytics |
title_full | Comparison of Nine Tools for Screening Drug-Drug Interactions of Oral Oncolytics |
title_fullStr | Comparison of Nine Tools for Screening Drug-Drug Interactions of Oral Oncolytics |
title_full_unstemmed | Comparison of Nine Tools for Screening Drug-Drug Interactions of Oral Oncolytics |
title_short | Comparison of Nine Tools for Screening Drug-Drug Interactions of Oral Oncolytics |
title_sort | comparison of nine tools for screening drug-drug interactions of oral oncolytics |
topic | Original Contributions |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797246/ https://www.ncbi.nlm.nih.gov/pubmed/29787332 http://dx.doi.org/10.1200/JOP.18.00086 |
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