The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Use of Administrative Claims Data for Identifying Patients with Cirrhosis
Open accessAbstract
BACKGROUND: Administrative data are used in clinical research, but the validity of ICD-9 codes to identify cirrhotic patients has not been well established. GOALS: To determine the diagnostic accuracy of ICD-9 codes for cirrhosis in clinical practice. STUDY: We conducted a retrospective cohort study of patients from a safety-net hospital between 2008 and 2011. Patients were initially identified using ICD-9 codes for cirrhosis or a resultant complication. The gold-standard for diagnosis of cirrhosis was histology and/or imaging based on medical record review. Sensitivity, specificity, positive predictive values, and negative predictive values for each ICD-9 code were calculated. Diagnostic accuracy was assessed by the c-statistic using receiver operator characteristic curve analysis. RESULTS: We identified 2893 patients with an ICD-9 code for cirrhosis, of whom 50.2% had 1 ICD-9 code, 20.3% had 2 different codes, and 29.5% had 3 or more codes. Cirrhosis was confirmed in 44.0% of patients with 1 ICD-9 code, 82.6% with 2 codes, and 95.7% of those with at least 3 codes. Ascites had a significantly lower positive predictive values for cirrhosis than other ICD-9 codes (P<0.001). The optimal combination of ICD-9 codes to identify cirrhotic patients included all codes except that of ascites, with a c-statistic of 0.71 in our derivation cohort. The sensitivity of this combination was confirmed to be 98% in a validation cohort of 285 patients with known cirrhosis. CONCLUSIONS: Administrative data can identify patients with cirrhosis with high accuracy, although ascites has a significantly lower positive predictive value than other ICD-9 codes.
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.
Integrity signals
Registry
Cites
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.
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?
In the citing paper
“Patients were identified by a validated EMR case identification algorithm based on International Classification of Diseases–Ninth Revision (ICD-9) or International Classification of Diseases–Tenth Revision (ICD-10) codes for cirrhosis (571.2 or 571.5; K70.30 or K74.6) or cirrhosis complications”
From Depression and anxiety are common among patients with cirrhosis (2022) · cites this paper as [16]
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
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
Sampling error and intraobserver variation in liver biopsy in patients with chronic HCV infection
Regev, A., Berho, M. E., Jeffers, L. J., Milikowski, C., Molina, E. G., Pyrsopoulos, N., Feng, Z.-Z., Reddy, K. R., & Schiff, E. R. (2002) · The American Journal of Gastroenterology · doi:10.1111/j.1572-0241.2002.06038.x · Cited by 2,078
Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models
Zou, K. H., O’Malley, A. J., & Mauri, L. (2007) · Circulation · doi:10.1161/circulationaha.105.594929 · Cited by 1,473
Projecting future complications of chronic hepatitis C in the United States
Davis, G. L., Albright, J. E., Cook, S. F., & Rosenberg, D. M. (2003) · Liver Transplantation · doi:10.1053/jlts.2003.50073 · Cited by 577
Increasing Prevalence of HCC and Cirrhosis in Patients With Chronic Hepatitis C Virus Infection
Kanwal, F., Hoang, T., Kramer, J. R., Asch, S. M., Goetz, M. B., Zeringue, A., Richardson, P. A., & El‐Serag, H. B. (2010) · Gastroenterology · doi:10.1053/j.gastro.2010.12.032 · Cited by 395
Poynard, T., Munteanu, M., Imbert‐Bismut, F., Charlotte, F., Thabut, D., Calvez, S. L., Messous, D., Thibault, V., Benhamou, Y., Moussalli, J., et al. (2004) · Clinical Chemistry · doi:10.1373/clinchem.2004.032227 · Cited by 337
Benesch, C. G., Witter, D. M., Wilder, A. L., Duncan, P. W., Samsa, G. P., & Matchar, D. B. (1997) · Neurology · doi:10.1212/wnl.49.3.660 · Cited by 331
Severe Liver Fibrosis or Cirrhosis: Accuracy of US for Detection—Analysis of 300 Cases
Colli, A., Fraquelli, M., Andreoletti, M., Marino, B., Zuccoli, E., & Conte, D. (2003) · Radiology · doi:10.1148/radiol.2272020193 · Cited by 327
Kramer, J. R., Davila, J. A., MILLER, E. D., Richardson, P., Giordano, T. P., & EL‐SERAG, H. B. (2007) · Alimentary Pharmacology & Therapeutics · doi:10.1111/j.1365-2036.2007.03572.x · Cited by 269
Rakoski, M. O., McCammon, R. J., Piette, J. D., Iwashyna, T. J., Marrero, J. A., Lok, A. S., Langa, K. M., & Volk, M. L. (2012) · Hepatology · doi:10.1002/hep.24616 · Cited by 190
Health-Related Quality of Life Predicts Mortality in Patients With Advanced Chronic Liver Disease
Kanwal, F., Gralnek, I. M., Hays, R. D., Zeringue, A., Durazo, F. A., Han, S. B., Saab, S., Bolus, R. R., & Spiegel, B. M. R. (2009) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2009.03.013 · Cited by 132
Filly, R. A., Reddy, S. G., Nalbandian, A. B., Lü, Y., & Callen, P. W. (2002) · Journal of Clinical Ultrasound · doi:10.1002/jcu.10095 · Cited by 23
US Features of Liver Surface Nodularity as a Predictor of Severe Fibrosis in Chronic Hepatitis C
Viganò, M., Visentin, S., Aghemo, A., Rumi, M. G., & Ronchi, G. (2005) · Radiology · doi:10.1148/radiol.2342041267 · Cited by 22
International Classification of Disease Coding for Obstructive Lung Disease
Marcus, P., & Braman, S. S. (2010) · CHEST Journal · doi:10.1378/chest.09-1342 · Cited by 15
Vance, G. A., Niederhauser, A., Chauhan, S. P., Magann, E. F., Dahlke, J. D., Muraskas, J. K., & Morrison, J. C. (2010) · Gynecologic and Obstetric Investigation · doi:10.1159/000318204 · Cited by 9
Research works printed but not linked: 1
- Patel, 2010, The use of opioids in cirrhotics., Hepatology, 52, 1252A
Cited by
Sorted by citations
Global epidemiology of cirrhosis — aetiology, trends and predictions
Huang, D. Q., Terrault, N. A., Tacke, F., Gluud, L. L., Arrese, M. A., Bugianesi, E., & Loomba, R. S. (2023) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-023-00759-2 · Cited by 940
Goldberg, D. S., Ditah, I. C., Saeian, K., Lalehzari, M., Aronsohn, A. I., Gorospe, E. C., & Charlton, M. (2017) · Gastroenterology · doi:10.1053/j.gastro.2017.01.003 · Cited by 601
Hepatocellular Carcinoma From Epidemiology to Prevention: Translating Knowledge into Practice
Singal, A. G., & El-Serag, H. B. (2015) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2015.08.014 · Cited by 530
Self-citationAtiq, O., Tiro, J., Yopp, A. C., Muffler, A., Marrero, J. A., Parikh, N. D., Murphy, C., McCallister, K., & Singal, A. G. (2017) · Hepatology · doi:10.1002/hep.28895 · Cited by 266
Self-citationThe high burden of alcoholic cirrhosis in privately insured persons in the United States
Mellinger, J. L., Shedden, K., Winder, G. S., Tapper, E. B., Adams, M. A., Fontana, R. J., Volk, M. L., Blow, F. C., & Lok, A. S.-F. (2018) · Hepatology · doi:10.1002/hep.29887 · Cited by 210
Metadata
- Authors
- Nehra, M. S., Ma, Y., Clark, C., Amarasingham, R., Rockey, D. C., & Singal, A. G.
- Affiliations
- Parkland Health & Hospital System (US)
- Corresponding author
- Nehra, Mahendra S.
- Rockey, Don C.
- Singal, Amit G.
- Venue
- Journal of Clinical Gastroenterology
- Published
- 2013-05
- Volume
- 47
- Issue
- 5
- Pages
- e50-e54
- ISSN
- 0192-0790 (ISSN-L)
- PMC
- PMC3556340
- OpenAlex
- W2061784149
- Cited by
- 211
- References
- 15
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 17 · 2023: 21 · 2022: 13 · 2021: 22 · 2020: 31 · 2019: 20 · 2018: 17 · 2017: 8 · 2016: 16 · 2015: 9 · 2014: 5 · 2013: 3
- FWCI
- 9.33
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Clinical Gastroenterology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (2kl2tr000453-06, UL1TR000451)
- National Center for Research Resources (KL2RR024983)
- National Center for Advancing Translational Sciences (KL2TR000453.)
- Topics
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Health Sciences › Medicine › Hepatology › Liver Disease and Transplantation
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- liver cirrhosis, ICD-9 codes, administrative claims data, diagnostic accuracy, ascites, code combinations, safety-net hospitals, positive predictive value, sensitivity and specificity
- MeSH terms
- Female, Humans, Liver Cirrhosis, Male, Middle Aged, Predictive Value of Tests, Retrospective Studies, ROC Curve, Sensitivity and Specificity, Cohort Studies, International Classification of Diseases, Electronic Health Records, Clinical Coding
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
