View Item 

Show simple item record

Systematic review: development of a consensus code set to identify cirrhosis in electronic health records
dc.contributor.authorShearer, Jessica E.
dc.contributor.authorGonzalez, Juan J.
dc.contributor.authorMin, Thazin
dc.contributor.authorParker, Richard
dc.contributor.authorJones, Rebecca
dc.contributor.authorSu, Grace L.
dc.contributor.authorTapper, Elliot B.
dc.contributor.authorRowe, Ian A.
dc.date.accessioned2022-04-08T18:01:37Z
dc.date.available2023-04-08 14:01:36en
dc.date.available2022-04-08T18:01:37Z
dc.date.issued2022-03
dc.identifier.citationShearer, Jessica E.; Gonzalez, Juan J.; Min, Thazin; Parker, Richard; Jones, Rebecca; Su, Grace L.; Tapper, Elliot B.; Rowe, Ian A. (2022). "Systematic review: development of a consensus code set to identify cirrhosis in electronic health records." Alimentary Pharmacology & Therapeutics (6): 645-657.
dc.identifier.issn0269-2813
dc.identifier.issn1365-2036
dc.identifier.urihttps://hdl.handle.net/2027.42/171969
dc.publisherWiley Periodicals, Inc.
dc.titleSystematic review: development of a consensus code set to identify cirrhosis in electronic health records
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPharmacy and Pharmacology
dc.subject.hlbsecondlevelOtolaryngology
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/171969/1/apt16806.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/171969/2/apt16806_am.pdf
dc.identifier.doi10.1111/apt.16806
dc.identifier.sourceAlimentary Pharmacology & Therapeutics
dc.identifier.citedreferenceDeyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992; 45 ( 6 ): 613 - 619.
dc.identifier.citedreferenceSingal AG, Ma Y, Nehra M, Gopal P, Amarasingham R. The validity of administrative codes for identifying patients with cirrhosis. Hepatology. 2011; 1: 586A.
dc.identifier.citedreferenceKanwal F, Kramer JR, Buchanan P, et al. The quality of care provided to patients with cirrhosis and ascites in the Department of Veterans Affairs. Gastroenterology. 2012; 143 ( 1 ): 70 - 77.
dc.identifier.citedreferenceFialla AD, De Muckadell OBS, Touborg LA. Incidence, etiology and mortality of cirrhosis: a population-based cohort study. Scand J Gastroenterol. 2012; 47 ( 6 ): 702 - 709.
dc.identifier.citedreferenceThygesen SK, Christiansen CF, Christensen S, Lash TL, Sorensen HT. The predictive value of ICD-10 diagnostic coding used to assess Charlson comorbidity index conditions in the population-based Danish National Registry of Patients. BMC Med Res Methodol. 2011; 11: 83.
dc.identifier.citedreferenceLapointe-Shaw L, Georgie F, Carlone D, et al. Identifying cirrhosis, decompensated cirrhosis and hepatocellular carcinoma in health administrative data: a validation study. PLoS One. 2018; 13 ( 8 ): e0201120.
dc.identifier.citedreferenceQuan H, Parsons GA, Ghali WA. Validity of information on comorbidity derived from ICD-9-CCM administrative data. Med Care. 2002; 40 ( 8 ): 675 - 685.
dc.identifier.citedreferenceRatib S, West J, Crooks CJ, Fleming KM. Diagnosis of liver cirrhosis in England, a cohort study, 1998–2009: a comparison with cancer. Am J Gastroenterol. 2014; 109 ( 2 ): 190 - 198.
dc.identifier.citedreferenceDriver RJ, Balachandrakumar V, Burton A, et al. Validation of an algorithm using inpatient electronic health records to determine the presence and severity of cirrhosis in patients with hepatocellular carcinoma in England: an observational study. BMJ Open. 2019; 9 ( 7 ): e028571.
dc.identifier.citedreferenceKanwal F, Kramer JR, Buchanan P, et al. The quality of care provided to patients with cirrhosis and ascites. Hepatology. 2011; 1: 408A.
dc.identifier.citedreferenceGordon SC, Pockros PJ, Terrault NA, et al. Impact of disease severity on healthcare costs in patients with chronic hepatitis C (CHC) virus infection. Hepatology. 2012; 56 ( 5 ): 1651 - 1660.
dc.identifier.citedreferenceSingal AG, Rahimi RS, Clark C, et al. An automated model using electronic medical record data identifies patients with cirrhosis at high risk for readmission. Clin Gastroenterol Hepatol. 2013; 11 ( 10 ): 1335 - 1341.
dc.identifier.citedreferenceElsevier Scopus Website. https://www.elsevier.com/solutions/scopus?dgcid=RN_AGCM_Sourced_300005030. Accessed September 20, 2020.
dc.identifier.citedreferenceBengtsson B, Askling J, Ludvigsson JF, Hagstrom H. Validity of administrative codes associated with cirrhosis in Sweden. Scand J Gastroenterol. 2020; 55 ( 10 ): 1205 - 1210.
dc.identifier.citedreferenceBernatsky S, Lix L, O’Donnell S, Lacaille D, Network C. Consensus statements for the use of administrative health data in rheumatic disease research and surveillance. J Rheumatol. 2013; 40 ( 1 ): 66 - 73.
dc.identifier.citedreferenceHanly JG, Thompson K, Skedgel C. The use of administrative health care databases to identify patients with rheumatoid arthritis. Open Access Rheumatol. 2015; 7: 69 - 75.
dc.identifier.citedreferenceThorn JC, Turner E, Hounsome L, et al. Validation of the hospital episode statistics outpatient dataset in England. PharmacoEconomics. 2016; 34 ( 2 ): 161 - 168.
dc.identifier.citedreferenceSpencer SA, Davies MP. Hospital episode statistics: improving the quality and value of hospital data: a national internet e-survey of hospital consultants. BMJ Open. 2012; 2 ( 6 ): e001651.
dc.identifier.citedreferenceDominitz JA, Boyko EJ, Koepsell TD, et al. Elevated prevalence of hepatitis C infection in users of United States veterans medical centers. Hepatology. 2005; 41 ( 1 ): 88 - 96.
dc.identifier.citedreferenceDas SR, Kinsinger LS, Yancy WS Jr, et al. Obesity prevalence among veterans at Veterans Affairs medical facilities. Am J Prev Med. 2005; 28 ( 3 ): 291 - 294.
dc.identifier.citedreferenceRimland JM, Abraha I, Luchetta ML, et al. Validation of chronic obstructive pulmonary disease (COPD) diagnoses in healthcare databases: a systematic review protocol. BMJ Open. 2016; 6 ( 6 ): e011777.
dc.identifier.citedreferenceKhokhar B, Jette N, Metcalfe A, et al. Systematic review of validated case definitions for diabetes in ICD-9-coded and ICD-10-coded data in adult populations. BMJ Open. 2016; 6 ( 8 ): e009952.
dc.identifier.citedreferenceMcCormick N, Bhole V, Lacaille D, Avina-Zubieta JA. Validity of diagnostic codes for acute stroke in administrative databases: a systematic review. PLoS One. 2015; 10 ( 8 ): e0135834.
dc.identifier.citedreferenceMcCormick N, Lacaille D, Bhole V, Avina-Zubieta JA. Validity of myocardial infarction diagnoses in administrative databases: a systematic review. PLoS One. 2014; 9 ( 3 ): e92286.
dc.identifier.citedreferenceMortality GBD, Causes of Death C. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016; 388 ( 10053 ): 1459 - 1544.
dc.identifier.citedreferenceStepanova M, De Avila L, Afendy M, et al. Direct and indirect economic burden of chronic liver disease in the United States. Clin Gastroenterol Hepatol. 2017; 15 ( 5 ): 759 - 766 e755.
dc.identifier.citedreferenceWorld Health Organisation. http://apps.who.int/classifications/icd10/browse/2010/en. Accessed September 24, 2018.
dc.identifier.citedreferenceRatib S, West J, Fleming KM. Liver cirrhosis in England—an observational study: are we measuring its burden occurrence correctly? BMJ Open. 2017; 7 ( 7 ): e013752.
dc.identifier.citedreferenceJepsen P, Vilstrup H, Sorensen HT. Alcoholic cirrhosis in Denmark—population-based incidence, prevalence, and hospitalization rates between 1988 and 2005: a descriptive cohort study. BMC Gastroenterol. 2008; 8: 3.
dc.identifier.citedreferenceLeon DA, McCambridge J. Liver cirrhosis mortality rates in Britain from 1950 to 2002: an analysis of routine data. Lancet. 2006; 367 ( 9504 ): 52 - 56.
dc.identifier.citedreferenceWhiting P, Rutjes AW, Reitsma JB, Bossuyt PM, Kleijnen J. The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol. 2003; 3: 25.
dc.identifier.citedreferenceTapper EB, Zhang P, Garg R, et al. Body composition predicts mortality and decompensation in compensated cirrhosis patients: a prospective cohort study. JHEP Rep. 2020; 2 ( 1 ): 100061.
dc.identifier.citedreferenceKramer JR, Davila JA, Miller ED, Richardson P, Giordano TP, El-Serag HB. The validity of viral hepatitis and chronic liver disease diagnoses in Veterans Affairs administrative databases. Aliment Pharmacol Ther. 2008; 27 ( 3 ): 274 - 282.
dc.identifier.citedreferenceChang EK, Yu CY, Clarke R, et al. Defining a patient population with cirrhosis: an automated algorithm with natural language processing. J Clin Gastroenterol. 2016; 50 ( 10 ): 889 - 894.
dc.identifier.citedreferenceGoldberg D, Lewis JD, Halpern SD, Weiner M, Lo Re IV. Validation of three coding algorithms to identify patients with end-stage liver disease in an administrative database. Pharmacoepidemiol Drug Saf. 2012; 21 ( 7 ): 765 - 769.
dc.identifier.citedreferenceHachem CY, Kramer JR, Kanwal F, El-Serag HB. Hepatitis vaccination in patients with hepatitis C: practice and validation of codes at a large veterans administration medical centre. Aliment Pharmacol Ther. 2008; 28 ( 9 ): 1078 - 1087.
dc.identifier.citedreferenceLu M, Chacra W, Rabin D, et al. Validity of an automated algorithm using diagnosis and procedure codes to identify decompensated cirrhosis using electronic health records. Clin Epidemiol. 2017; 9: 369 - 376.
dc.identifier.citedreferenceMapakshi S, Kramer JR, Richardson P, El-Serag HB, Kanwal F. Positive predictive value of international classification of diseases, 10th revision, codes for cirrhosis and its related complications. Clin Gastroenterol Hepatol. 2018; 16: 1677 - 1678.
dc.identifier.citedreferenceNehra MS, Ma Y, Clark C, Amarasingham R, Rockey DC, Singal AG. Use of administrative claims data for identifying patients with cirrhosis. J Clin Gastroenterol. 2013; 47 ( 5 ): E50 - E54.
dc.identifier.citedreferenceRabin D, Chacra W, Gordon S, Yang J, Rupp L. Use of billing and procedure codes to predict stage of liver disease in patients with chronic viral hepatitis. Am J Gastroenterol. 2013; 1: S147.
dc.identifier.citedreferenceRakoski MO, McCammon RJ, Piette JD, et al. Burden of cirrhosis on older Americans and their families: analysis of the health and retirement study. Hepatology. 2012; 55 ( 1 ): 184 - 191.
dc.identifier.citedreferenceRe VL, Lim JK, Goetz MB, et al. Validity of diagnostic codes and liver-related laboratory abnormalities to identify hepatic decompensation events in the Veterans Aging Cohort Study. Pharmacoepidemiol Drug Saf. 2011; 20 ( 7 ): 689 - 699.
dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
apt16806.pdf
Size:
716.0KB
Format:
PDF
View/Open
Name:
apt16806_am.pdf
Size:
682.5KB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.