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Showing 1 to 12 of 37 entries
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Drug-related problem in children with chronic kidney disease.

Pediatric nephrology (Berlin, Germany)

Ibrahim N, Wong IC, Patey S, Tomlin S, Sinha MD, Jani Y.
PMID: 22451139
Pediatr Nephrol. 2013 Jan;28(1):25-31. doi: 10.1007/s00467-012-2149-1. Epub 2012 Mar 28.

Drug therapies in the management of chronic kidney disease (CKD) are complex and specialised and have a high potential for drug-related problem (DRP). In adult CKD populations, the identification and resolution of DRP has been shown to have beneficial...

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Ibrahim N, Wong IC, Patey S, et al. Drug-related problem in children with chronic kidney disease. Pediatr Nephrol. 2012;28(1):25-31doi: 10.1007/s00467-012-2149-1.
Ibrahim, N., Wong, I. C., Patey, S., Tomlin, S., Sinha, M. D., & Jani, Y. (2013). Drug-related problem in children with chronic kidney disease. Pediatric nephrology (Berlin, Germany), 28(1), 25-31. https://doi.org/10.1007/s00467-012-2149-1
Ibrahim, Norkasihan, et al. "Drug-related problem in children with chronic kidney disease." Pediatric nephrology (Berlin, Germany) vol. 28,1 (2013): 25-31. doi: https://doi.org/10.1007/s00467-012-2149-1
Ibrahim N, Wong IC, Patey S, Tomlin S, Sinha MD, Jani Y. Drug-related problem in children with chronic kidney disease. Pediatr Nephrol. 2013 Jan;28(1):25-31. doi: 10.1007/s00467-012-2149-1. Epub 2012 Mar 28. PMID: 22451139.
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[Negative outcomes associated with medication].

Atencion primaria

Ruiz de Adana Pérez R.
PMID: 22296799
Aten Primaria. 2012 Mar;44(3):135-7. doi: 10.1016/j.aprim.2011.11.008. Epub 2012 Jan 31.

No abstract available.

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Ruiz de Adana Pérez R. Resultados negativos asociados a la medicación. [Negative outcomes associated with medication]. Aten Primaria. 2012;44(3):135-7doi: 10.1016/j.aprim.2011.11.008.
Ruiz de Adana Pérez, R. (2012). Resultados negativos asociados a la medicación. [Negative outcomes associated with medication]. Atencion primaria, 44(3), 135-7. https://doi.org/10.1016/j.aprim.2011.11.008
Ruiz de Adana Pérez, Ricardo. "Resultados negativos asociados a la medicación." [Negative outcomes associated with medication]. Atencion primaria vol. 44,3 (2012): 135-7. doi: https://doi.org/10.1016/j.aprim.2011.11.008
Ruiz de Adana Pérez R. Resultados negativos asociados a la medicación. [Negative outcomes associated with medication]. Aten Primaria. 2012 Mar;44(3):135-7. doi: 10.1016/j.aprim.2011.11.008. Epub 2012 Jan 31. Spanish. PMID: 22296799; PMCID: PMC7025191.
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Safety profile of the yellow fever vaccine Stamaril®: a 17-year review.

Expert review of vaccines

Cottin P, Niedrig M, Domingo C.
PMID: 24066727
Expert Rev Vaccines. 2013 Nov;12(11):1351-68. doi: 10.1586/14760584.2013.836320. Epub 2013 Sep 25.

Since the creation by the manufacturer in 1993, of an electronic pharmacovigilance database for all spontaneous, voluntary reports of adverse events (AEs) after vaccination, 276 million doses of Stamaril® have been distributed worldwide. We review this database for the...

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Cottin P, Niedrig M, Domingo C. Safety profile of the yellow fever vaccine Stamaril®: a 17-year review. Expert Rev Vaccines. 2013;12(11):1351-68doi: 10.1586/14760584.2013.836320.
Cottin, P., Niedrig, M., & Domingo, C. (2013). Safety profile of the yellow fever vaccine Stamaril®: a 17-year review. Expert review of vaccines, 12(11), 1351-68. https://doi.org/10.1586/14760584.2013.836320
Cottin, Pascale, et al. "Safety profile of the yellow fever vaccine Stamaril®: a 17-year review." Expert review of vaccines vol. 12,11 (2013): 1351-68. doi: https://doi.org/10.1586/14760584.2013.836320
Cottin P, Niedrig M, Domingo C. Safety profile of the yellow fever vaccine Stamaril®: a 17-year review. Expert Rev Vaccines. 2013 Nov;12(11):1351-68. doi: 10.1586/14760584.2013.836320. Epub 2013 Sep 25. PMID: 24066727.
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Healthcare Databases for Drug Safety Research: Data Validity Assessment Remains Crucial.

Drug safety

Rawson NSB, D'Arcy C.
PMID: 29714003
Drug Saf. 2018 Sep;41(9):829-833. doi: 10.1007/s40264-018-0673-z.

Administrative healthcare utilization databases are frequently used either individually or as a component of aggregated data for evaluating drug safety issues without taking into account their known deficiencies. All too often insufficient evidence is provided about their validity for...

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Rawson NSB, D'Arcy C. Healthcare Databases for Drug Safety Research: Data Validity Assessment Remains Crucial. Drug Saf. 2018;41(9):829-833doi: 10.1007/s40264-018-0673-z.
Rawson, N. S. B., & D'Arcy, C. (2018). Healthcare Databases for Drug Safety Research: Data Validity Assessment Remains Crucial. Drug safety, 41(9), 829-833. https://doi.org/10.1007/s40264-018-0673-z
Rawson, Nigel S B, and D'Arcy, Carl. "Healthcare Databases for Drug Safety Research: Data Validity Assessment Remains Crucial." Drug safety vol. 41,9 (2018): 829-833. doi: https://doi.org/10.1007/s40264-018-0673-z
Rawson NSB, D'Arcy C. Healthcare Databases for Drug Safety Research: Data Validity Assessment Remains Crucial. Drug Saf. 2018 Sep;41(9):829-833. doi: 10.1007/s40264-018-0673-z. PMID: 29714003.
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Prediction and management of drug reaction with eosinophilia and systemic symptoms (DRESS).

Expert opinion on drug metabolism & toxicology

Shiohara T, Kano Y, Hirahara K, Aoyama Y.
PMID: 28633581
Expert Opin Drug Metab Toxicol. 2017 Jul;13(7):701-704. doi: 10.1080/17425255.2017.1297422. Epub 2017 Mar 01.

No abstract available.

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Shiohara T, Kano Y, Hirahara K, et al. Prediction and management of drug reaction with eosinophilia and systemic symptoms (DRESS). Expert Opin Drug Metab Toxicol. 2017;13(7):701-704doi: 10.1080/17425255.2017.1297422.
Shiohara, T., Kano, Y., Hirahara, K., & Aoyama, Y. (2017). Prediction and management of drug reaction with eosinophilia and systemic symptoms (DRESS). Expert opinion on drug metabolism & toxicology, 13(7), 701-704. https://doi.org/10.1080/17425255.2017.1297422
Shiohara, Tetsuo, et al. "Prediction and management of drug reaction with eosinophilia and systemic symptoms (DRESS)." Expert opinion on drug metabolism & toxicology vol. 13,7 (2017): 701-704. doi: https://doi.org/10.1080/17425255.2017.1297422
Shiohara T, Kano Y, Hirahara K, Aoyama Y. Prediction and management of drug reaction with eosinophilia and systemic symptoms (DRESS). Expert Opin Drug Metab Toxicol. 2017 Jul;13(7):701-704. doi: 10.1080/17425255.2017.1297422. Epub 2017 Mar 01. PMID: 28633581.
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How to communicate evidence to patients.

Drug and therapeutics bulletin

Freeman ALJ.
PMID: 31345957
Drug Ther Bull. 2019 Aug;57(8):119-124. doi: 10.1136/dtb.2019.000008.

No abstract available.

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Freeman ALJ. How to communicate evidence to patients. Drug Ther Bull. 2019;57(8):119-124doi: 10.1136/dtb.2019.000008.
Freeman, A. L. J. (2019). How to communicate evidence to patients. Drug and therapeutics bulletin, 57(8), 119-124. https://doi.org/10.1136/dtb.2019.000008
Freeman, Alexandra L J. "How to communicate evidence to patients." Drug and therapeutics bulletin vol. 57,8 (2019): 119-124. doi: https://doi.org/10.1136/dtb.2019.000008
Freeman ALJ. How to communicate evidence to patients. Drug Ther Bull. 2019 Aug;57(8):119-124. doi: 10.1136/dtb.2019.000008. PMID: 31345957; PMCID: PMC6678057.
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Evaluating Twitter as a complementary data source for pharmacovigilance.

Expert opinion on drug safety

Lardon J, Bellet F, Aboukhamis R, Asfari H, Souvignet J, Jaulent MC, Beyens MN, Lillo-LeLouët A, Bousquet C.
PMID: 29991282
Expert Opin Drug Saf. 2018 Aug;17(8):763-774. doi: 10.1080/14740338.2018.1499724. Epub 2018 Jul 26.

BACKGROUND: Social media are currently considered as a potential complementary source of knowledge for drug safety surveillance. Our primary objective was to estimate the frequency of adverse drug reactions (ADRs) experienced by Twitter users. Our secondary objective was to...

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Lardon J, Bellet F, Aboukhamis R, et al. Evaluating Twitter as a complementary data source for pharmacovigilance. Expert Opin Drug Saf. 2018;17(8):763-774doi: 10.1080/14740338.2018.1499724.
Lardon, J., Bellet, F., Aboukhamis, R., Asfari, H., Souvignet, J., Jaulent, M. C., Beyens, M. N., Lillo-LeLouët, A., & Bousquet, C. (2018). Evaluating Twitter as a complementary data source for pharmacovigilance. Expert opinion on drug safety, 17(8), 763-774. https://doi.org/10.1080/14740338.2018.1499724
Lardon, Jérémy, et al. "Evaluating Twitter as a complementary data source for pharmacovigilance." Expert opinion on drug safety vol. 17,8 (2018): 763-774. doi: https://doi.org/10.1080/14740338.2018.1499724
Lardon J, Bellet F, Aboukhamis R, Asfari H, Souvignet J, Jaulent MC, Beyens MN, Lillo-LeLouët A, Bousquet C. Evaluating Twitter as a complementary data source for pharmacovigilance. Expert Opin Drug Saf. 2018 Aug;17(8):763-774. doi: 10.1080/14740338.2018.1499724. Epub 2018 Jul 26. PMID: 29991282.
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Adverse Drug Events After Hospitalization-Are We Missing the Mark?.

JAMA internal medicine

Bongiovanni T, Steinman MA.
PMID: 33646266
JAMA Intern Med. 2021 May 01;181(5):618-619. doi: 10.1001/jamainternmed.2020.9282.

No abstract available.

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Bongiovanni T, Steinman MA. Adverse Drug Events After Hospitalization-Are We Missing the Mark?. JAMA Intern Med. 2021;181(5):618-619doi: 10.1001/jamainternmed.2020.9282.
Bongiovanni, T., & Steinman, M. A. (2021). Adverse Drug Events After Hospitalization-Are We Missing the Mark?. JAMA internal medicine, 181(5), 618-619. https://doi.org/10.1001/jamainternmed.2020.9282
Bongiovanni, Tasce, and Steinman, Michael A. "Adverse Drug Events After Hospitalization-Are We Missing the Mark?." JAMA internal medicine vol. 181,5 (2021): 618-619. doi: https://doi.org/10.1001/jamainternmed.2020.9282
Bongiovanni T, Steinman MA. Adverse Drug Events After Hospitalization-Are We Missing the Mark?. JAMA Intern Med. 2021 May 01;181(5):618-619. doi: 10.1001/jamainternmed.2020.9282. PMID: 33646266.
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A step in the digital direction: from paper logs to electronic data capture.

The American journal of managed care

Brown N, Siu E, Donegan J.
PMID: 30998306
Am J Manag Care. 2019 Apr;25(5):SP173-SP175.

No abstract available.

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Brown N, Siu E, Donegan J. A step in the digital direction: from paper logs to electronic data capture. Am J Manag Care. 2019;25(5):SP173-SP175
Brown, N., Siu, E., & Donegan, J. (2019). A step in the digital direction: from paper logs to electronic data capture. The American journal of managed care, 25(5), SP173-SP175.
Brown, Nate, et al. "A step in the digital direction: from paper logs to electronic data capture." The American journal of managed care vol. 25,5 (2019): SP173-SP175.
Brown N, Siu E, Donegan J. A step in the digital direction: from paper logs to electronic data capture. Am J Manag Care. 2019 Apr;25(5):SP173-SP175. PMID: 30998306.
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[Preventive work can reduce drug side effects].

Lakartidningen

Hallberg P, Collin S, Wadelius M.
PMID: 28718862
Lakartidningen. 2017 Jul 14;114.

No abstract available.

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Hallberg P, Collin S, Wadelius M. Preventivt arbete kan minska läkemedelsbiverkningar. [Preventive work can reduce drug side effects]. Lakartidningen. 2017;114
Hallberg, P., Collin, S., & Wadelius, M. (2017). Preventivt arbete kan minska läkemedelsbiverkningar. [Preventive work can reduce drug side effects]. Lakartidningen, 114.
Hallberg, Pär, et al. "Preventivt arbete kan minska läkemedelsbiverkningar." [Preventive work can reduce drug side effects]. Lakartidningen vol. 114 (2017).
Hallberg P, Collin S, Wadelius M. Preventivt arbete kan minska läkemedelsbiverkningar. [Preventive work can reduce drug side effects]. Lakartidningen. 2017 Jul 14;114. Swedish. PMID: 28718862.
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Identifying Adverse Events Using International Classification of Diseases, Tenth Revision Y Codes in Korea: A Cross-sectional Study.

Journal of preventive medicine and public health = Yebang Uihakhoe chi

Ock M, Kim HJ, Jeon B, Kim YJ, Ryu HM, Lee MS.
PMID: 29397642
J Prev Med Public Health. 2018 Jan;51(1):15-22. doi: 10.3961/jpmph.17.118.

OBJECTIVES: The use of administrative data is an affordable alternative to conducting a difficult large-scale medical-record review to estimate the scale of adverse events. We identified adverse events from 2002 to 2013 on the national level in Korea, using...

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Ock M, Kim HJ, Jeon B, et al. Identifying Adverse Events Using International Classification of Diseases, Tenth Revision Y Codes in Korea: A Cross-sectional Study. J Prev Med Public Health. 2018;51(1):15-22doi: 10.3961/jpmph.17.118.
Ock, M., Kim, H. J., Jeon, B., Kim, Y. J., Ryu, H. M., & Lee, M. S. (2018). Identifying Adverse Events Using International Classification of Diseases, Tenth Revision Y Codes in Korea: A Cross-sectional Study. Journal of preventive medicine and public health = Yebang Uihakhoe chi, 51(1), 15-22. https://doi.org/10.3961/jpmph.17.118
Ock, Minsu, et al. "Identifying Adverse Events Using International Classification of Diseases, Tenth Revision Y Codes in Korea: A Cross-sectional Study." Journal of preventive medicine and public health = Yebang Uihakhoe chi vol. 51,1 (2018): 15-22. doi: https://doi.org/10.3961/jpmph.17.118
Ock M, Kim HJ, Jeon B, Kim YJ, Ryu HM, Lee MS. Identifying Adverse Events Using International Classification of Diseases, Tenth Revision Y Codes in Korea: A Cross-sectional Study. J Prev Med Public Health. 2018 Jan;51(1):15-22. doi: 10.3961/jpmph.17.118. PMID: 29397642; PMCID: PMC5797717.
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[Hospital pharmacovigilance in Buenos Aires].

Medicina

Brodsky PT, Papale RM, Bignone IM.
PMID: 24561854
Medicina (B Aires). 2014;74(1):84-5.

No abstract available.

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Brodsky PT, Papale RM, Bignone IM. Farmacovigilancia hospitalaria en Buenos Aires. [Hospital pharmacovigilance in Buenos Aires]. Medicina (B Aires). 2014;74(1):84-5
Brodsky, P. T., Papale, R. M., & Bignone, I. M. (2014). Farmacovigilancia hospitalaria en Buenos Aires. [Hospital pharmacovigilance in Buenos Aires]. Medicina, 74(1), 84-5.
Brodsky, Paula T, et al. "Farmacovigilancia hospitalaria en Buenos Aires." [Hospital pharmacovigilance in Buenos Aires]. Medicina vol. 74,1 (2014): 84-5.
Brodsky PT, Papale RM, Bignone IM. Farmacovigilancia hospitalaria en Buenos Aires. [Hospital pharmacovigilance in Buenos Aires]. Medicina (B Aires). 2014;74(1):84-5. Spanish. PMID: 24561854.
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Showing 1 to 12 of 37 entries