Subgroup Identification in Personalized Treatment of Alcohol Dependence

Alcoholism: Clinical and Experimental Research

Volumn 39, Issue 7, 2015, Pages 1253-1259

  Hou, Jue ^a   Seneviratne, Chamindi ^b   Su, Xiaogang ^c   Taylor, Jeremy ^d   Johnson, Bankole ^b   Wang, Xin Qun ^e   Zhang, Heping ^f   Kranzler, Henry R ^g   Kang, Joseph ^h   Liu, Lei ^h  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b UNIVERSITY OF MARYLAND SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF TEXAS AT EL PASO   (United States)

^d UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

^e UNIVERSITY OF VIRGINIA   (United States)

^f YALE UNIVERSITY   (United States)

^g UNIVERSITY OF PENNSYLVANIA   (United States)

^h NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Alcohol Research; Classification and Regression Tree; Clinical Trial; Random Forest

Indexed keywords

ONDANSETRON; SEROTONIN ANTAGONIST; SEROTONIN TRANSPORTER; SLC6A4 PROTEIN, HUMAN;

ADULT; AGED; ALCOHOLISM; CONTROLLED STUDY; GENETICS; HUMAN; MIDDLE AGED; PERSONALIZED MEDICINE; PHARMACOGENETICS; RANDOMIZED CONTROLLED TRIAL; YOUNG ADULT;

ADULT; AGED; ALCOHOLISM; HUMANS; MIDDLE AGED; ONDANSETRON; PHARMACOGENETICS; PRECISION MEDICINE; SEROTONIN ANTAGONISTS; SEROTONIN PLASMA MEMBRANE TRANSPORT PROTEINS; YOUNG ADULT;

EID: 84934444508     PISSN: 01456008     EISSN: 15300277     Source Type: Journal    
DOI: 10.1111/acer.12759     Document Type: Article

References (25)

1. Anton RF, O'Malley SS, Ciraulo DA, Cisler RA, Couper D, Donovan DM, Gastfriend DR, Hosking JD, Johnson BA, LoCastro JS, Longabaugh R, Mason BJ, Mattson ME, Miller WR, Pettinati HM, Randall CL, Swift R, Weiss RD, Williams LD, Zweben A (2006) Combined pharmacotherapies and behavioral interventions for alcohol dependence-The COMBINE study: a randomized controlled trial. J Am Med Assoc 295:2003-2017.
2. Breiman L, Freidman JH, Olshen RA, Stone CJ (1984) Classification and Regression Trees. Wadsworth, Belmont, CA.
3. Cortes C, Vapnik VN (1995) Support-vector networks. Mach Learn 20:273-297.
4. Falk D, Wang XQ, Liu L, Fertig J, Mattson M, Ryan M, Johnson B, Stout R, Litten RZ (2010) Percentage of subjects with no heavy drinking days: evaluation as an efficacy endpoint for alcohol clinical trials. Alcohol Clin Exp Res 34:2022-2034.
5. Foster JC, Taylor JMG, Ruberg SJ (2011) Subgroup identification from randomized clinical trial data. Stat Med 30:2867-2880.
6. Gail M, Simon R (1985) Testing for qualitative interactions between treatment effects and patient subsets. Biometrics 41:361-372.
7. Hamburg MA, Collins FS (2010) The path to personalized medicine. N Engl J Med 363:301-304.
8. Heilig M, Goldman D, Berrettini W, O'Brien CP (2011) Pharmacogenetic approaches to the treatment of alcohol addiction. Nat Rev Neurosci 12:670-684.
9. Johnson BA, Ait-Daoud N, Li MD, Seneviratne C, Roache JD, Javors MA, Wang X-Q, Liu L, Penberthy JK, DiClemente CC (2011) Pharmacogenetic approach at the serotonin transporter gene as a method of reducing the severity of alcohol drinking. Am J Psychiatry 168:265-275.
10. Johnson BA, Rosenthal N, Capece JA, Wiegand F, Mao L, Beyers K, McKay A, Ait-Daoud N, Anton RF, Ciraulo DA, Kranzler HR, Mann K, O'Malley SS, Swift RM (2007) Topiramate for treating alcohol dependence: a randomized controlled trial. J Am Med Assoc 298:1641-1651.
11. Johnson BA, Seneviratne C, Wang XQ, Ait-Daoud N, Li M (2013) Determination of genotype combinations that can predict the outcome of the treatment of alcohol dependence using the 5-ht3 antagonist ondansetron. Am J Psychiatry 170:1020-1031.
12. Kranzler HR, McKay JR (2012) Personalized treatment of alcohol dependence. Curr Psychiatry Rep 14:486-493.
13. LeBlanc M, Crowley J (1993) Survival trees by goodness of split. J Am Stat Assoc 88:457-467.
14. Little R, Rubin DB (2002) Statistical Analysis with Missing Data. 2nd ed. John Wiley & Sons, New York, NY.
15. Negassa A, Ciampi A, Abrahamowicz M, Shapiro S, Boivin JF (2005) Tree-structured subgroup analysis for censored survival data: validation of computationally inexpensive model selection criteria. Stat Comput 15:231-239.
16. Oliva EM, Maisel NC, Gordon AJ, Harris A (2011) Barriers to use of pharmacotherapy for addiction disorders and how to overcome them. Curr Psychiatry Rep 13:374-381.
17. R Core Team (2014) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
18. Sobell LC, Sobell MB (1992) Timeline followback: a technique for assessing self-reported ethanol consumption, in Measuring Alcohol Consumption: Psychosocial and Biochemical Methods (Litten RZ, Allen JP eds), pp 41-72. Humana Press Inc, Totowa, NJ.
19. Su XG, Meneses K, McNees P, Johnson WO (2011) Interaction trees: exploring the differential effects of an intervention programme for breast cancer survivors. J Roy Stat Soc: Ser C (Appl Stat) 60:457-474.
20. Su XG, Tsai CL, Wang HS, Nickerson DM, Li BG (2009) Subgroup analysis via recursive partitioning. J Mach Learn Res 10:141-158.
21. Tibshirani R (1996) Regression shrinkage and selection via the lasso. J Roy Stat Soc B 58:267-288.
22. Weber EM (2010) Failure of physicians to prescribe pharmacotherapies for addiction: regulatory restrictions and physician resistance. J Health Care Law Policy 13:49-76.
23. Willenbring ML (2007) Medications to treat alcohol dependence-adding to the continuum of care. J Am Med Assoc 298:1691-1692.
24. Zhang HP, Legro RS, Zhang J, Zhang L, Chen X, Huang H, Casson PR, Schlaff WD, Diamond MP, Krawetz SA, Coutifaris C, Brzyski RG, Christman GM, Santoro N, Eisenberg E, for the Reproductive Medicine Network (2010) Decision trees for identifying predictors of treatment effectiveness in clinical trials and its application to ovulation in a study of women with polycystic ovary syndrome. Hum Reprod 25:2612-2621.
25. Zhang HP, Singer B (2010) Recursive Partitioning and Its Applications. Springer, New York, NY.