Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 17

The DOI matches its Crossref record, with a small difference in title or year; 1 of the 1 references it cites were found in a registry or an index.

A Text Searching Tool to Identify Patients with Idiosyncratic Drug-Induced Liver Injury

Heidemann, Lauren, Law, James, Fontana, Robert J.·2017·Digestive Diseases and Sciences
DOI 10.1007/s10620-015-3970-8
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s10620-015-3970-8

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 22

  1. Chalasani NP, Hayashi PH, Bonkovsky HL, et al. ACG clinical guideline: the diagnosis and management of idiosyncratic drug-induced liver injury. Am J Gastroenterol. 2014;109:950–966. · DOI · Paper page
  2. Fontana RJ, Hayashi PH, Gu J, Reddy KR, Barnhart H, On Behalf of the DILIN Network. Idiosyncratic drug-induced liver injury is associated with substantial morbidity and mortality within 6 months from onset. Gastroenterology. 2014;147:96–108. · DOI · Paper page
  3. Chalasani N, Fontana RJ, Bonkovsky HL, Watkins PB, et al. Causes, clinical features, and outcomes from a prospective study of drug-induced liver injury in the United States. Gastroenterology. 2008;135:1924–1934. · DOI · Paper page
  4. Fontana RJ. Pathogenesis of idiosyncratic drug-induced liver injury and clinical perspectives. Gastroenterology. 2014;146:914–928. · DOI · Paper page
  5. Hayashi PH, Fontana RJ. Clinical features, diagnosis, and natural history of drug induced liver injury. Semin Liv Dis. 2014;34:134–144. · DOI
  6. Garcia-Cortes M, Stephens C, Lucena MI, et al. Causality assessment methods in drug induced liver injury: strengths and weaknesses. J Hepatol. 2011;55:683–691. · DOI · Paper page
  7. Meier Y, Cavallaro M, Roos M, Pauli-Magnus C, Folkers G, Meier PJ. Incidence of drug induced liver injury in medical inpatients. Eur J Clin Pharmacol. 2005;61:135–143. · DOI · Paper page
  8. Duh MS, Walker AM, Kronlund KH. Descriptive epidemiology of acute liver enzyme abnormalities in the general population of central Massachusetts. Pharmacoepid Drug Saf. 1999;8:275–283. · DOI
  9. Jinjuvadia K, Kwan W, Fontana RJ. Searching for a needle in a haystack: use of ICD-9-CM codes in drug-induced liver injury. Am J Gastroenterol. 2007;102:2437–2443. · DOI
  10. Overby CL, Pathak J, Gottesman O, et al. A collaborative approach to developing an electronic health record phenotyping algorithm for drug-induced liver injury. J Am Med Inform Assoc. 2013;20:e243–e3252. · DOI
  11. Warrer P, Hansen EH, Juhl-Jensen L, et al. Using text-mining techniques in electronic patient records to identify ADRs from medicine use. Br J Clin Pharmacol. 2011;73:674–684. · DOI
  12. Honigman B, Lee J, Rothschild J, et al. Using computerized data to identify adverse drug events in outpatients. J Am Med Inform Assoc. 2001;8:254–266. · DOI · Paper page
  13. Field TS, Gurwitz JH, Harrold LR, et al. Strategies for detecting adverse drug events among older persons in the ambulatory setting. J Am Med Inform Assoc. 2004;11:492–498. · DOI
  14. Hoofnagle JH. Drug induced liver injury network. Hepatology. 2004;40:773. · DOI
  15. Fontana RJ, Watkins PB, Bonkovsky HL, et al. Drug-induced liver injury network (DILIN) prospective study. Rational, design, and conduct. Drug Saf. 2009;32:55–68. · DOI · Paper page
  16. Danan G, Benichou C. 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. 1993;46:1323–1330. · DOI · Paper page
  17. Fontana RJ, Seeff LB, Andrade RJ, et al. Standardization of nomenclature and causality assessment in drug-induced liver injury: summary of a clinical research workshop. Hepatology. 2010;52:730–742. · DOI · Paper page
  18. Rochon J, Protiva P, Seeff LB, et al. Reliability of the Roussel Uclaf causality assessment method for assessing causality in drug-induced liver injury. Hepatology. 2008;48:1175–1183. · DOI · Paper page
  19. Rockey DC, Seeff LB, Rochon J, et al. Causality assessment in drug-induced liver injury using a structured expert opinion process: comparison to the Roussel-Uclaf causality assessment method. Hepatology. 2010;51:2117–2126. · DOI · Paper page
  20. Hayashi PH, Barnhart HX, Fontana RJ, et al. Reliability of causality assessment for drug, herbal, and dietary supplement hepatotoxicity in the drug induced liver injury network. Liv Int. 2015;35:1623–1632. · DOI · Paper page
  21. Andrade RJ, Lucena MI, Fernandez MC, et al. Drug-induced liver injury: an analysis of 461 incidences submitted to the Spanish registry over a 10-year period. Gastroenterology. 2005;129:512–521. · DOI · Paper page
  22. Kleiner D, Chalasani N, Lee WML, et al. Hepatic histological findings in suspected drug-induced liver injury: systematic review and clinical associations. Hepatology. 2014;59:661–670. · DOI · Paper page

Cited by

See all 17

Metadata

Authors
Heidemann, L., Law, J., & Fontana, R. J.
ORCID
Fontana, Robert J.
Venue
Digestive Diseases and Sciences
Publisher
Springer Science and Business Media LLC
Published
2015-11-23
Volume
62
Issue
3
Pages
615-625
ISSN
  • 0163-2116
  • 1573-2568
DOI
10.1007/s10620-015-3970-8
Cited by
17
References
1
Language
en
Licence
Funders
National Institute of Diabetes and Digestive and Kidney Diseases (2U01-DK-065184-06)

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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.