Cited by 169

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Causality assessment methods in drug induced liver injury: Strengths and weaknesses

García-Cortés, Miren, Stephens, Camilla, Lucena, M. Isabel, Fernández-Castañer, Alejandra, Andrade, Raúl J.·2011·Journal of Hepatology

Abstract

Diagnosis of drug-induced liver injury (DILI) remains a challenge and eagerly awaits the development of reliable hepatotoxicity biomarkers. Several methods have been developed in order to facilitate hepatotoxicity causality assessments. These methods can be divided into three categories: (1) expert judgement, (2) probabilistic approaches, and (3) algorithms or scales. The last category is further divided into general and liver-specific scales. The Council for International Organizations of Medical Sciences (CIOMS) scale, also referred to as the Roussel Uclaf Causality Assessment Method (RUCAM), although cumbersome and difficult to apply by physicians not acquainted with DILI, is used by many expert hepatologists, researchers, and regulatory authorities to assess the probability of suspected causal agents. However, several limitations of this scale have been brought to light, indicating that a number of adjustments are needed. This review is a detailed timely criticism to alert the readers of the limitations and give insight into what would be needed to improve the scale. Instructions on how to approach DILI diagnosis in practice are provided, using CIOMS as an aid to emphasize the topics to be addressed when assessing DILI cases. Amendments of the CIOMS scale in the form of applying authoritative evidence-based criteria, a simplified scoring system and appropriate weighting given to individual parameters based on statistical evaluations with large databases will provide wider…

Overview

Integrity signals

Registry

Crossref · 10.1016/j.jhep.2011.02.007

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • RUCAM disadvantages include complexity and ambiguous instructions, arbitrary weighting of criteria such as overestimation of rechallenge, lack of evidence-based risk factors, failure to consider ultra-short or long latency periods, excessive penalty for concomitant hepatotoxic drugs, and omission of liver histological findings.

    “However, disadvantages of the RUCAM scale include complexity and ambiguous instructions, arbitrary weighting of the criteria such as an overestimation of rechallenge, which is seldom done, lack of evidence‐based risk factors, failure to consider ultra‐short or long latency periods for drugs with short or long half‐lives, excessive penalty for concomitant hepatotoxic drugs, or omissions such as”
  • RUCAM cannot discriminate between drugs with known hepatotoxic potential and the same temporal sequence, in patients with underlying liver disease, progression to fulminant liver failure, liver transplantation or death, or chronicity, or in atypical presentations.

    “In addition, it cannot discriminate between drugs with known hepatotoxic potential and the same temporal sequence, in patients with underlying liver disease, progression to fulminant liver failure, liver transplantation or death, or chronicity, or in atypical presentations, limiting causality assessment.”
  • RUCAM has been hindered by subjectivity and poor reliability.

    “Roussel Uclaf Causality Assessment Method (RUCAM) for drug-induced liver injury (DILI) has been hindered by subjectivity and poor reliability.”
  • Lammert et al. demonstrated that AIH was characterised by a group of both IgG and IgM autoantibodies while DI-ALH was only characterised by IgM, which could be used as a feature to distinguish DI-ALH from AIH.

    “Lammert et al., demonstrated that AIH was characterised by a group of both IgG and IgM autoantibodies while DI-ALH was only characterised by IgM, which could be used as a feature to distinguish DI-ALH from AIH.”
  • Concerns have been raised regarding RUCAM's poor reliability, validity and the lack of clinical evidence for the domain criteria.

    “However, concerns have been raised regarding its poor reliability, validity and the lack of clinical evidence for the domain criteria.”

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 45

  1. Ostapowicz, 2002, Results of a prospective study of acute liver failure at 17 tertiary care centers in the United States, Ann Intern Med, 137, 947, 10.7326/0003-4819-137-12-200212170-00007 · DOI · Paper page
  2. Wei, 2007, Acute liver failure in Sweden: etiology and outcome, J Intern Med, 262, 393, 10.1111/j.1365-2796.2007.01818.x · DOI
  3. Andrade, 2005, Drug-induced liver injury: an analysis of 461 incidences submitted to the Spanish registry over a 10-year period, Gastroenterology, 129, 512, 10.1016/j.gastro.2005.05.006 · DOI
  4. Fontana, 2009, Drug-induced liver injury network (DILIN) prospective study rationale, design and conduct, Drug Saf, 32, 55, 10.2165/00002018-200932010-00005 · DOI · Paper page
  5. Daly, 2009, HLA-B∗5701 genotype is a major determinant of drug-induced liver injury due to flucloxacillin, Nat Genet, 41, 816, 10.1038/ng.379 · DOI
  6. Björnsson, 2005, Outcome and prognostic markers in severe drug-induced liver disease, Hepatology, 42, 481, 10.1002/hep.20800 · DOI · Paper page
  7. Molokhia, 2006, EUDRAGENE: European collaboration to establish a case-control DNA collection for studying the genetic basis of adverse drug reactions, Pharmacogenomics, 7, 633, 10.2217/14622416.7.4.633 · DOI
  8. Andrade, 2006, Outcome of acute idiosyncratic drug-induced liver injury: long-term follow-up in a hepatotoxicity registry, Hepatology, 44, 1581, 10.1002/hep.21424 · DOI · Paper page
  9. Fontana, 2010, Standardization of nomenclature and causality assessment in drug-induced liver injury: summary of a clinical research workshop, Hepatology, 52, 730, 10.1002/hep.23696 · DOI
  10. Aithal, 2011, Case definition and phenotype standardization in drug-induced liver injury, Clin Pharmacol Ther, 89, 806, 10.1038/clpt.2011.58 · DOI
  11. Kramer, 1986, Assessing causality of adverse drug reactions: global introspection and its limitations, Drug Info J, 20, 433, 10.1177/009286158602000409 · DOI
  12. Arimone, 2005, Agreement of expert judgment in causality assessment of adverse drug reactions, Eur J Clin Pharmacol, 61, 169, 10.1007/s00228-004-0869-2 · DOI
  13. Macedo, 2006, Can decisional algorithms replace global introspection in the individual causality assessment of spontaneously reported ADRs?, Drug Saf, 29, 697, 10.2165/00002018-200629080-00006 · DOI
  14. Rockey, 2010, Causality assessment in drug-induced liver injury using a structured expert opinion process: comparison to the Roussel-Uclaf causality assessment method, Hepatology, 51, 2117, 10.1002/hep.23577 · DOI · Paper page
  15. Zapater, 2002, A new Poisson and Bayesian-based method to assign risk and causality in patients with suspected hepatic adverse drug reactions: a report of two new cases of ticlopidine-induced hepatotoxicity, Drug Saf, 25, 735, 10.2165/00002018-200225100-00006 · DOI · Paper page
  16. Karch, 1977, Toward the operational identification of adverse drug reactions, Clin Pharmacol Ther, 21, 247, 10.1002/cpt1977213247 · DOI
  17. García-Cortés, 2008, Evaluation of Naranjo adverse drug reactions probability scale in causality assessment of drug-induced liver injury, Aliment Pharmacol Ther, 27, 780, 10.1111/j.1365-2036.2008.03655.x · DOI · Paper page
  18. Danan, 1993, . Causality assessment of adverse reactions to drugs-I. A novel method based on the conclusions of international consensus meetings: application to drug-induced liver injuries, J Clin Epidemiol, 46, 1323, 10.1016/0895-4356(93)90101-6 · DOI · Paper page
  19. Maria, 1997, Development and validation of a clinical scale for the diagnosis of drug-induced hepatitis, Hepatology, 26, 664, 10.1002/hep.510260319 · DOI · Paper page
  20. Takikawa, 2003, Assessment of 287 Japanese cases of drug induced liver injury by the diagnostic scale of the International Consensus Meeting, Hepatol Res, 27, 192, 10.1016/S1386-6346(03)00232-8 · DOI · Paper page
  21. Benichou, 1990, Criteria of drug-induced liver disorders. Report of an international consensus meeting, J Hepatol, 11, 272, 10.1016/0168-8278(90)90124-A · DOI · Paper page
  22. Benichou, 1993, Causality assessment of adverse reactions to drugs-II. An original model or validation of drug causality assessment methods: case reports with positive rechallenge, J Clin Epidemiol, 46, 1331, 10.1016/0895-4356(93)90102-7 · DOI · Paper page
  23. Rochon, 2008, Reliability of the Roussel Uclaf Causality Assessment Method for assessing causality in drug-induced liver injury, Hepatology, 48, 1175, 10.1002/hep.22442 · DOI
  24. Lucena, 2001, Comparison of two clinical scales for causality assessment in hepatotoxicity, Hepatology, 33, 123, 10.1053/jhep.2001.20645 · DOI · Paper page
  25. Watanabe, 2004, Validity study of a new diagnostic scale for drug-induced liver injury in Japan-comparison with two previous scales, Hepatol Res, 30, 148, 10.1016/j.hepres.2004.08.005 · DOI · Paper page
  26. Stephens, 2010, The HLA class I B∗1801 allele influences hepatocellular expression of amoxicillin–clavulanate liver damage and outcome in Spanish patients, J Hepatol, 52, S439, 10.1016/S0168-8278(10)61138-5 · DOI
  27. Watkins, 2009, Biomarkers for the diagnosis and management of drug-induced liver injury, Semin Liver Dis, 29, 393, 10.1055/s-0029-1240008 · DOI
  28. Aithal, 2000, Clinical diagnostic scale: a useful tool in the evaluation of suspected hepatotoxic adverse drug reactions, J Hepatol, 33, 949, 10.1016/S0168-8278(00)80127-0 · DOI
  29. Tajiri, 2008, Practical guidelines for diagnosis and early management of drug-induced liver injury, World J Gastroenterol, 14, 6774, 10.3748/wjg.14.6774 · DOI
  30. Hayashi, 2009, Causality assessment in drug-induced liver injury, Sem Liv Dis, 29, 348, 10.1055/s-0029-1240003 · DOI
  31. Shapiro, 2007, Causality assessment of drug-induced hepatotoxicity: promises and pitfalls, Clin Liver Dis, 477, 10.1016/j.cld.2007.06.003 · DOI
  32. Lucena, 2006, Determinants of the clinical expression of amoxicillin–clavulanate hepatotoxicity: a prospective series from Spain, Hepatology, 44, 850, 10.1002/hep.21324 · DOI
  33. Lucena, 2009, Phenotypic characterization of idiosyncratic drug-induced liver injury: the influence of age and sex, Hepatology, 49, 2001, 10.1002/hep.22895 · DOI · Paper page
  34. Fairley, 1993, Risk factors for development of flucloxacillin associated jaundice, BMJ, 306, 233, 10.1136/bmj.306.6872.233 · DOI
  35. Nolan, 1999, Hepatotoxicity associated with isoniazid preventive therapy: a 7-year survey from a public health tuberculosis clinic, JAMA, 281, 1014, 10.1001/jama.281.11.1014 · DOI
  36. Andrade, 2009, Drug-induced liver injury: insights from genetic studies, Pharmacogenomics, 10, 1467, 10.2217/pgs.09.111 · DOI
  37. Lucena, 2006, Prolonged cholestasis after raloxifene ad fenofibrate interaction: a case report, World J Gastroenterol, 12, 5244
  38. Verma, 2009, Diagnosis, management and prevention of drug-induced liver injury, Gut, 58, 1555, 10.1136/gut.2008.163675 · DOI
  39. Dalton, 2007, The role of hepatitis E virus testing in drug-induced liver injury, Aliment Pharmacol Ther, 26, 1429, 10.1111/j.1365-2036.2007.03504.x · DOI
  40. Suzuki, 2010, Drugs associated with hepatotoxicity and their reporting frequency of liver adverse events in VigiBase™: unified list based on international collaborative work, Drug Saf, 33, 503, 10.2165/11535340-000000000-00000 · DOI
  41. Andrade, 2009, Rechallenge in drug-induced liver injury: the attractive hazard, Expert Opin Drug Saf, 8, 709, 10.1517/14740330903397378 · DOI · Paper page
  42. Andrade, 2007, Assessment of drug-induced hepatotoxicity in clinical practice. a challenge for gastroenterologists, World J Gastroenterol, 13, 329, 10.3748/wjg.v13.i3.329 · DOI
  43. Kleiner, 2009, The pathology of drug-induced liver injury, Semin Liver Dis, 29, 364, 10.1055/s-0029-1240005 · DOI
  44. Larrey, 2002, Epidemiology and individual susceptibility to adverse drug reactions affecting the liver, Semin Liver Dis, 22, 145, 10.1055/s-2002-30105 · DOI
  45. Kaplowitz, 2001, Causality assessment versus guilt-by-association in drug hepatotoxicity, Hepatology, 33, 308, 10.1053/jhep.2001.21083 · DOI

Cited by

Sorted by citations

Metadata

Authors
García-Cortés, M., Stephens, C., Lucena, M. I., Fernández-Castañer, A., & Andrade, R. J.
Venue
Journal of Hepatology
Publisher
Elsevier BV
Published
2011-09
Volume
55
Issue
3
Pages
683-691
ISSN
0168-8278
Cited by
169
References
2
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review