Literature DB >> 1929025

Screening for alcohol abuse using CAGE scores and likelihood ratios.

D G Buchsbaum1, R G Buchanan, R M Centor, S H Schnoll, M J Lawton.   

Abstract

OBJECTIVE: To assess the performance of the CAGE (acronym referring to four questions, see below) questionnaire in discriminating between medicine outpatients with and without an alcohol abuse or dependence disorder.
DESIGN: A cross-sectional design of a sample of consecutive patients who received both the alcohol module of the diagnostic interview schedule and the CAGE (Cut down, Annoyed, Guilty, Eye-opener) screening questionnaire.
SETTING: The outpatient medical practice of an urban university teaching hospital. PATIENTS: All patients 18 years or older who signed a consent form approved by the university's institutional review board. MEASUREMENT: Calculation of the sensitivity, specificity, receiver operating characteristic (ROC) curve, and likelihood ratio for CAGE scores of 0 to 4.
RESULTS: Thirty-six percent of the sample group met criteria for a history of alcohol abuse or dependence. A CAGE score of 2 or more was associated with a sensitivity and specificity of 74% and 91%. The calculated area under the ROC curve was 0.89, whereas the likelihood ratios for CAGE scores of 0 to 4 were 0.14, 1.5, 4.5, 13, and 100, respectively. These ratios were associated with posterior probabilities for an abuse or dependence disorder of 7%, 46%, 72%, 88%, and 98%, respectively.
CONCLUSION: Clinicians can improve their ability to estimate a patient's risk for an alcohol abuse or dependence disorder using likelihood ratios for CAGE scores.

Entities:  

Mesh:

Year:  1991        PMID: 1929025     DOI: 10.7326/0003-4819-115-10-774

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  75 in total

1.  Rural population survey of behavioral and demographic risk factors for loaded firearms.

Authors:  D L Nordstrom; C Zwerling; A M Stromquist; L F Burmeister; J A Merchant
Journal:  Inj Prev       Date:  2001-06       Impact factor: 2.399

2.  Simplifying likelihood ratios.

Authors:  Steven McGee
Journal:  J Gen Intern Med       Date:  2002-08       Impact factor: 5.128

3.  The effect of heavy drinking on social security old-age and survivors insurance contributions and benefits.

Authors:  Jan Ostermann; Frank A Sloan
Journal:  Milbank Q       Date:  2004       Impact factor: 4.911

4.  A randomized clinical trial of St. John's wort for smoking cessation.

Authors:  Amit Sood; Jon O Ebbert; Kavita Prasad; Ivana T Croghan; Brent Bauer; Darrell R Schroeder
Journal:  J Altern Complement Med       Date:  2010-07       Impact factor: 2.579

5.  Alcohol withdrawal prevention: a randomized evaluation of lorazepam and ethanol--a pilot study.

Authors:  Joyce E Fullwood; Zhila Mostaghimi; Christopher B Granger; Jeffrey B Washam; Wanda Bride; Yanfang Zhao; Bradi B Granger
Journal:  Am J Crit Care       Date:  2013-09       Impact factor: 2.228

6.  Walking the line: stimulant use during sex and HIV risk behavior among Black urban MSM.

Authors:  Matthew J Mimiaga; Sari L Reisner; Yves-Michel Fontaine; Sean E Bland; Maura A Driscoll; Deborah Isenberg; Kevin Cranston; Margie R Skeer; Kenneth H Mayer
Journal:  Drug Alcohol Depend       Date:  2010-03-23       Impact factor: 4.492

7.  When one is not enough: prevalence and characteristics of homes not adequately protected by smoke alarms.

Authors:  C Peek-Asa; V Allareddy; J Yang; C Taylor; J Lundell; C Zwerling
Journal:  Inj Prev       Date:  2005-12       Impact factor: 2.399

8.  Collecting data by telephone from low-income African Americans.

Authors:  Nancy T Artinian; Doris Denison; Cheryl K Nordstrom
Journal:  Appl Nurs Res       Date:  2007-11       Impact factor: 2.257

9.  Physical and sexual abuse among homeless and unstably housed adults living with HIV: prevalence and associated risks.

Authors:  Kirk D Henny; Daniel P Kidder; Ron Stall; Richard J Wolitski
Journal:  AIDS Behav       Date:  2007-06-19

10.  Adult outcomes of binge drinking in adolescence: findings from a UK national birth cohort.

Authors:  R M Viner; B Taylor
Journal:  J Epidemiol Community Health       Date:  2007-10       Impact factor: 3.710

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.