Literature DB >> 22357834

Does this patient with liver disease have cirrhosis?

Jacob A Udell, Charlie S Wang, Jill Tinmouth, J Mark FitzGerald, Najib T Ayas, David L Simel, Michael Schulzer, Edwin Mak, Eric M Yoshida.   

Abstract

CONTEXT: Among adult patients with liver disease, the ability to identify those most likely to have cirrhosis noninvasively is challenging.
OBJECTIVE: To identify simple clinical indicators that can exclude or detect cirrhosis in adults with known or suspected liver disease. DATA SOURCES: We searched MEDLINE and EMBASE (1966 to December 2011) and reference lists from retrieved articles, previous reviews, and physical examination textbooks. STUDY SELECTION: We retained 86 studies of adequate quality that evaluated the accuracy of clinical findings for identifying histologically proven cirrhosis. DATA EXTRACTION: Two authors independently abstracted data (sensitivity, specificity, and likelihood ratios [LRs]) and assessed methodological quality. Random-effects meta-analyses were used to calculate summary LRs across studies.
RESULTS: Among the 86 studies, 19,533 patients were included in this meta-analysis, among whom 4725 had biopsy-proven cirrhosis (prevalence rate, 24%; 95% CI, 20%-28%). Many physical examination and simple laboratory tests increase the likelihood of cirrhosis, though the presence of ascites (LR, 7.2; 95% CI, 2.9-12), a platelet count <160 x 10(3)/μL (LR, 6.3; 95% CI, 4.3-8.3), spider nevi (LR, 4.3; 95% CI 2.4-6.2), or a combination of simple laboratory tests with the Bonacini cirrhosis discriminant score >7 (LR, 9.4; 95% CI, 2.6-37) are the most frequently studied, reliable, and informative results. For lowering the likelihood of cirrhosis, the most useful findings are a Lok index <0.2 (a score created from the platelet count, serum aspartate aminotransferase and alanine aminotransferase, and prothrombin international normalized ratio; LR, 0.09; 95% CI, 0.03-0.31); a platelet count ≥160 x 10(3)/μL (LR, 0.29; 95% CI, 0.20-0.39); or the absence of hepatomegaly (LR, 0.37; 95% CI, 0.24-0.51). The overall impression of the clinician was not as informative as the individual findings or laboratory combinations.
CONCLUSIONS: For identifying cirrhosis, the presence of a variety of clinical findings or abnormalities in a combination of simple laboratory tests that reflect the underlying pathophysiology increase its likelihood. To exclude cirrhosis, combinations of normal laboratory findings are most useful.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22357834     DOI: 10.1001/jama.2012.186

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  51 in total

1.  Factors associated with the platelet count in patients with chronic hepatitis C.

Authors:  Michele M Tana; Xiongce Zhao; Alyson Bradshaw; Mi Sun Moon; Sandy Page; Tiffany Turner; Elenita Rivera; David E Kleiner; Theo Heller
Journal:  Thromb Res       Date:  2015-02-19       Impact factor: 3.944

2.  Comparative diagnostic accuracy of magnetic resonance elastography vs. eight clinical prediction rules for non-invasive diagnosis of advanced fibrosis in biopsy-proven non-alcoholic fatty liver disease: a prospective study.

Authors:  J Cui; B Ang; W Haufe; C Hernandez; E C Verna; C B Sirlin; R Loomba
Journal:  Aliment Pharmacol Ther       Date:  2015-04-15       Impact factor: 8.171

3.  Quantitative analysis of real-time tissue elastography for evaluation of liver fibrosis.

Authors:  Ying Shi; Xing-Hua Wang; Huan-Hu Zhang; Hai-Qing Zhang; Ji-Zheng Tu; Kun Wei; Juan Li; Xiao-Li Liu
Journal:  Int J Clin Exp Med       Date:  2014-04-15

Review 4.  Composite prognostic models across the non-alcoholic fatty liver disease spectrum: Clinical application in developing countries.

Authors:  Hilmar K Lückhoff; Frederik C Kruger; Maritha J Kotze
Journal:  World J Hepatol       Date:  2015-05-28

5.  Quantitative detection of cirrhosis: towards the development of computer-assisted detection method.

Authors:  Hannu T Huhdanpaa; Peng Zhang; Venkataramu N Krishnamurthy; Chris Douville; Binu Enchakolody; Chris Chou; Sampathkumar Ethiraj; Stewart Wang; Grace L Su
Journal:  J Digit Imaging       Date:  2014-10       Impact factor: 4.056

Review 6.  Evaluation of hepatic fibrosis: a review from the society of abdominal radiology disease focus panel.

Authors:  Jeanne M Horowitz; Sudhakar K Venkatesh; Richard L Ehman; Kartik Jhaveri; Patrick Kamath; Michael A Ohliger; Anthony E Samir; Alvin C Silva; Bachir Taouli; Michael S Torbenson; Michael L Wells; Benjamin Yeh; Frank H Miller
Journal:  Abdom Radiol (NY)       Date:  2017-08

7.  Nonalcoholic fatty liver disease with cirrhosis increases familial risk for advanced fibrosis.

Authors:  Cyrielle Caussy; Meera Soni; Jeffrey Cui; Ricki Bettencourt; Nicholas Schork; Chi-Hua Chen; Mahdi Al Ikhwan; Shirin Bassirian; Sandra Cepin; Monica P Gonzalez; Michel Mendler; Yuko Kono; Irine Vodkin; Kristin Mekeel; Jeffrey Haldorson; Alan Hemming; Barbara Andrews; Joanie Salotti; Lisa Richards; David A Brenner; Claude B Sirlin; Rohit Loomba
Journal:  J Clin Invest       Date:  2017-06-19       Impact factor: 14.808

8.  Terry's Nails: Clinical Correlations in Adult Outpatients.

Authors:  Nick Nelson; Kweku Hayfron; Alejandro Diaz; Scott Lynch; Irene Yen; Allison Bakamjian; Indhu Subramanian
Journal:  J Gen Intern Med       Date:  2018-07       Impact factor: 5.128

9.  Non-HFE iron overload as a surrogate marker of disease severity in patients of liver cirrhosis.

Authors:  Mohd Talha Noor; Manish Tiwari; Ravindra Kumar
Journal:  Indian J Gastroenterol       Date:  2016-02-13

Review 10.  Non-invasive diagnosis of hepatitis B virus-related cirrhosis.

Authors:  Sangheun Lee; Do Young Kim
Journal:  World J Gastroenterol       Date:  2014-01-14       Impact factor: 5.742

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.