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Roussel Uclaf Causality Assessment Method for Drug-Induced Liver Injury: Present and Future
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RUCAM is continuously used without problems, except for some minor questions, addressed and clarified in previous RUCAM publications.
“RUCAM is continuously used without problems,11,15 except for some minor questions, addressed and clarified in previous RUCAM publications.15–17”
From Herb-induced Liver Injury in Asia and Current Role of RUCAM for Causality Assessment in 11,160 Published Cases (2020) · cites this paper as [17]
With a good study design, high-quality HILI cases are to be expected.
“With a good study design, high-quality HILI cases are to be expected.15–17”
From Herb-induced Liver Injury in Asia and Current Role of RUCAM for Causality Assessment in 11,160 Published Cases (2020) · cites this paper as [17]
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Citations
Cites
EASL Clinical Practice Guidelines: Drug-induced liver injury
Andrade, R. J., Aithal, G. P., Björnsson, E. S., Kaplowitz, N., Kullak-Ublick, G. A., Larrey, D., & Karlsen, T. H. (2019) · Journal of Hepatology · doi:10.1016/j.jhep.2019.02.014 · Cited by 1,276
Incidence and Etiology of Drug-Induced Liver Injury in Mainland China
Shen, T., Liu, Y., Shang, J., Xie, Q., Li, J., Yan, M., Xu, J., Niu, J., Liu, J., Watkins, P. B., et al. (2019) · Gastroenterology · doi:10.1053/j.gastro.2019.02.002 · Cited by 615
Agreement Among Different Scales for Causality Assessment in Drug-Induced Liver Injury
Das, S., Behera, S. K., Xavier, A. S., Velupula, S., Dkhar, S. A., & Selvarajan, S. (2018) · Clinical Drug Investigation · doi:10.1007/s40261-017-0601-5 · Cited by 19
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Research works printed but not linked: 45
- Aiso, 2019, Analysis of 307 cases with drug-induced liver injury be tween 2010 and 2018 in Japan, Hepatol. Res., 49, 105, 10.1111/hepr.13288 · DOI · Paper page
- Andrade, 2016, Drug-induced liver injury clinical consortia: a global research response for a worldwide health challenge, Expert. Opin. Drug Metab. Toxicol., 12, 589, 10.1517/17425255.2016.1141896 · DOI
- Baekdal, 2017, Drug-induced liver injury: a cohort study on patients referred to the Danish transplant center over a five year period, Scand. J. Gastroenterol., 52, 450, 10.1080/00365521.2016.1267790 · DOI
- Becker, 2019, Liver injury induced by drugs and plants: a critical review of Brazilian cases and proposals for improvement of causality assessment using RUCAM
- Bessone, 2019, When the creation of a consortium provides useful answers: experience of The Latin American DILI Network (LATINDILIN), Clin. Liver Dis., 13, 51, 10.1002/cld.778 · DOI
- Björnsson, 2014, Epidemiology and risk factors for idiosyncratic drug-induced liver injury, Semin. Liver Dis., 34, 115, 10.1055/s-0034-1375953 · DOI
- Björnsson, 2016, Hepatotoxicity by drugs: the most common implicated agents, Int. J. Mol. Sci., 17, 224, 10.3390/ijms17020224 · DOI · Paper page
- Björnsson, 2016, Categorization of drugs implicated in causing liver injury: critical assessment based on published case reports, Hepatology, 63, 590, 10.1002/hep.28323 · DOI · Paper page
- Cheetham, 2014, An automated causality assessment algorithm to detect drug-induced liver injury in electronic medical record data, Pharmacoepidemiol. Drug Saf., 23, 601, 10.1002/pds.3531 · DOI
- Danan, 2016, RUCAM in drug and herb induced liver injury: the update, Int. J. Mol. Sci., 17, 10.3390/ijms17010014 · DOI · Paper page
- Danan, 2018, Drug-induced liver injury: why is the Roussel Uclaf Causality Assessment Method (RUCAM) still used 25 years after its launch, Drug Saf., 41, 735, 10.1007/s40264-018-0654-2 · DOI · Paper page
- Douros, 2014, Drug-induced liver injury: results from the hospital-based Berlin Case–Control Surveillance Study, Br. J. Clin. Pharmacol., 79, 988, 10.1111/bcp.12565 · DOI
- García-Cortés, 2018, Drug-induced liver injury: a safety review, Expert. Opin. Drug Saf., 17, 795, 10.1080/14740338.2018.1505861 · DOI
- Hanatani, 2014, A detection algorithm for drug-induced liver injury in medical information databases using the Japanese diagnostic scale and its comparison with the Council for International Organizations of Medical Sciences/the Roussel Uclaf Causality Assessment Method scale, Pharmacoepidemiol. Drug Saf., 23, 984, 10.1002/pds.3603 · DOI · Paper page
- Hassan, 2019, The diagnosis and management of idiopathic drug-induced liver injury, Liver Int., 39, 31, 10.1111/liv.13931 · DOI
- Hayashi, 2015, Reliability of causality assessment for drug, herbal and dietary supplement hepatotoxicity in the Drug-Induced Liver Injury Network (DILIN), Liver Int., 35, 1623, 10.1111/liv.12540 · DOI
- Heidemann, 2017, A text searching tool to identify patients with idiosyncratic drug-induced liver injury, Dig. Dis. Sci., 62, 615, 10.1007/s10620-015-3970-8 · DOI
- Hunt, 2018, Expanding our toolkit to better identify drug-induced liver injury in electronic medical records, Liver Int., 38, 585, 10.1111/liv.13710 · DOI
- Kullak-Ublick, 2017, Drug-induced liver injury: recent advances in diagnosis and risk assessment, Gut, 66, 1154, 10.1136/gutjnl-2016-313369 · DOI · Paper page
- Licata, 2017, A focus on epidemiology of drug-induced liver injury: analysis of a prospective study, Eur. Rev. Med. Pharmacol. Sci., 21, 112
- Liu, 2018, The diagnostic role of miR-122 in drug-induced liver injury. A systematic review and meta-analysis, Medicine, 97, 49, 10.1097/MD.0000000000013478 · DOI
- Rathi, 2017, Drug induced liver injury at a tertiary hospital in India: etiology, clinical features and predictors of mortality, Ann. Hepatol., 16, 442, 10.5604/01.3001.0009.8600 · DOI · Paper page
- Real, 2019, Drug-induced liver injury: highlights of the recent literature, Drug Saf., 42, 365, 10.1007/s40264-018-0743-2 · DOI · Paper page
- Regev, 2014, Causality assessment for suspected DILI during clinical phases of drug development, Drug Saf., 37, S47, 10.1007/s40264-014-0185-4 · DOI
- Russmann, 2014, Rivaroxaban postmarketing risk of liver injury, J. Hepatol., 61, 293, 10.1016/j.jhep.2014.03.026 · DOI
- Sarges, 2016, Drug-induced liver injury: highlights from a review of the 2015 literature, Drug Saf., 39, 561, 10.1007/s40264-016-0427-8 · DOI · Paper page
- Scalfaro, 2017, Preliminary results of a novel algorithmic method aiming to support initial causality assessment of routine pharmacovigilance case reports for medication-induced liver injury: the PV-RUCAM, Drug Saf., 40, 715, 10.1007/s40264-017-0541-2 · DOI · Paper page
- Shahbaz, 2018, Highlights of drug- and herb-induced liver injury in the literature from 2016: how best to translate new information into clinical practice, Expert. Opin. Drug Metab. Toxicol., 13, 935, 10.1080/17425255.2017.1362391 · DOI · Paper page
- Shin, 2013, Characterizing phenotypes and outcomes of drug-associated liver injury using electronic medical record data, Pharmacoepidemiol. Drug Saf., 22, 190, 10.1002/pds.3388 · DOI
- Sobhonslidsuk, 2016, The incidence, presentation, outcomes, risk of mortality and economic data of drug-induced liver injury from a national database in Thailand: a population-base study, BMC Gastroenterol., 16, 135, 10.1186/s12876-016-0550-0 · DOI
- Tan, 2018, Systematic review and meta-analysis of algorithms used to identify drug-induced liver injury (DILI) in health record databases, Liver Int., 38, 742, 10.1111/liv.13646 · DOI
- Tao, 2018, Genetic polymorphisms of UGT 1A1 anRd susceptibility to anti-tuberculosis drug-induced liver: a RUCAM-based case–control study, Int. J. Immunopathol. Pharmacol., 32, 1, 10.1177/2058738418816288 · DOI
- Teschke, 2019, Idiosyncratic DILI: overview and analysis of 46,266 cases assessed for causality by RUCAM and published from 2014 to early 2019, Special issue “Clinical drug induced liver injury: current diagnostic and mechanistic challenges, 10, 730, 10.3389/fphar.2019.00730 · DOI · Paper page
- Teschke, 2016, Diagnosis and management of drug-induced liver injury (DILI) in patients with pre-existing liver disease, Drug Saf., 39, 729, 10.1007/s40264-016-0423-z · DOI
- Teschke, 2017, Prospective Indian study of DILI with confirmed causality using the Roussel Uclaf Causality Assessment Method (RUCAM): a report of excellence, Ann. Hepatol., 16, 324, 10.5604/16652681.1235471 · DOI · Paper page
- Teschke, 2018, Causality assessment methods in drug-induced liver injury, 555, 10.1007/978-1-4939-7677-5_27 · DOI · Paper page
- Teschke, 2018, Drug-induced liver injury with analysis of alternative causes as confounding variables, Br. J. Clin. Pharmacol., 84, 1467, 10.1111/bcp.13593 · DOI
- Teschke, 2015, Herbal hepatotoxicity in traditional and modern medicine: actual key issues and new encouraging steps, Front. Pharmacol., 6, 1, 10.3389/fphar.2015.00072 · DOI · Paper page
- Teschke, 2016, Traditional Chinese medicine (TCM) and herbal hepatotoxicity: RUCAM and the role of novel diagnostic biomarkers such as microRNAs, Medicines, 3, 18, 10.3390/medicines3030018 · DOI · Paper page
- Teschke, 2017, Drug induced liver injury: can biomarkers assist RUCAM in causality assessment? Special issue: molecular research on drug induced liver injury, Int. J. Mol. Sci., 18, 803, 10.3390/ijms18040803 · DOI
- Tillmann, 2018, Novel approaches to causality adjudication in drug-induced liver disease, Curr. Hepatol. Rep., 17, 276, 10.1007/s11901-018-0416-8 · DOI
- Vine, 2015, Hepatitis E, A and other hepatotropic viruses, Medicine, 43, 594, 10.1016/j.mpmed.2015.07.006 · DOI
- Watkins, 2015, How to diagnose and exclude drug-induced liver injury, Dig. Dis., 33, 472, 10.1159/000374091 · DOI
- Yu, 2017, CSH guidelines for the diagnosis and treatment of drug-induced liver injury, Hepatol. Int., 11, 221, 10.1007/s12072-017-9793-2 · DOI · Paper page
- Zhu, 2016, Comparison between Chinese herbal medicine and Western medicine-induced liver injury of 1985 patients, J. Gastroenterol. Hepatol., 31, 1476, 10.1111/jgh.13323 · DOI · Paper page
Cited by
Sorted by citations
Teschke, R., Zhu, Y., & Jing, J. (2020) · Journal of Clinical and Translational Hepatology · doi:10.14218/jcth.2020.00009 · Cited by 41
Self-citationShamseddeen, H., Vilar-Gomez, E., Chalasani, N., Myers, R. P., Subramanian, G. M., Shlevin, H. H., Allgood, A. E., & Orman, E. S. (2020) · Drug Safety · doi:10.1007/s40264-019-00896-1 · Cited by 6
Metadata
- Authors
- Danan, G., & Teschke, R.
- Venue
- Frontiers in Pharmacology
- Publisher
- Frontiers Media SA
- Published
- 2019-07-29
- Volume
- 10
- ISSN
- 1663-9812
- PMC
- PMC6680600
- Cited by
- 111
- References
- 3
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