Rapid evidence review of the comparative effectiveness, harms, and cost-effectiveness of pharmacogenomics-guided antidepressant treatment versus usual care for major depressive disorder
Abstract
Objective This study aims to conduct an evidence review of the effectiveness, harms, and cost-effectiveness of pharmacogenomics-guided antidepressant treatment for major depressive disorder.Methods We searched MEDLINE®, the Cochrane Central Registry of Controlled Trials, and PsycINFO through February 2017. We used prespecified criteria to select studies, abstract data, and rate internal validity and strength of the evidence (PROSPERO number CRD42016036358).Results We included two randomized trials (RCT), five controlled cohort studies, and six modeling studies of mostly women in their mid-40s with few comorbidities. CNSDose (ABCB1, ABCC1, CYP2C19, CYP2D6, UGT1A1) is the only pharmacogenomics test that significantly improved remission (one additional remitting patient in 12 weeks per three genotyped, 95% CI 1.7 to 3.5) and reduced intolerability in an RCT. ABCB1 genotyping leads to one additional remitting patient in 5 weeks per three genotyped (95% CI 3 to 20), but tolerability was not reported. In an RCT, GeneSight (CYP2D6, CYPC19, CYP1A2, SLC6A4, HTR2A) did not statistically significantly improve remission, and evidence is inconclusive about its tolerability. Evidence is generally low strength because RCTs were few and underpowered. Cost-effectiveness is unclear due to lack of directly observed cost-effectiveness outcomes. We found no studies that evaluated whether pharmacogenomics shortens time to optimal treatment, whether improvements were due to switches to genetically congruent medication, or whether effectiveness varies based on test and patient characteristics.Conclusions Certain pharmacogenomics tools show promise of improving short-term remission rates in women in their mid-40s with few comorbidities. But, important evidence limitations preclude recommending their widespread use and indicate a need for further research.
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Approximately 30% of patients with major depressive disorder resist antidepressants.
“However, previous studies found that approximately 30% of patients would resist antidepressants, even though antidepressant medicines are widely used in clinical practice.[4,5]”
From Transcutaneous auricular vagus nerve stimulation in treating major depressive disorder: A systematic review and meta-analysis (2018) · cites this paper as [5]
Cites
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817 · see citing works
Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series
(2008) · doi:10.1002/9780470712184 · Cited by 25,048 · see citing works
Trivedi, M. H., Rush, A. J., Wisniewski, S. R., Nierenberg, A. A., Warden, D., Ritz, L., Norquist, G., Howland, R. H., Lebowitz, B., McGrath, P. J., et al. (2006) · American Journal of Psychiatry · doi:10.1176/appi.ajp.163.1.28 · Cited by 3,879 · see citing works
PRACTICE GUIDELINE FOR THE Treatment of Patients With Major Depressive Disorder
Gelenberg, A. J., Freeman, P. B., Markowitz, J. C., Rosenbaum, J. F., Thase, M. E., Trivedi, M. H., & Rhoads, R. S. (2010) · Cited by 1,372 · see citing works
The Agency for Healthcare Research and Quality
Baine, W. B. (2006) · Italian Journal of Public Health · doi:10.2427/5924 · Cited by 1,191 · see citing works
AGNP Consensus Guidelines for Therapeutic Drug Monitoring in Psychiatry: Update 2011
Hiemke, C., Baumann, P., Bergemann, N., Conca, A., Dietmaier, O., Egberts, K. M., Fric, M., Gerlach, M., Greiner, C., Gründer, G., et al. (2011) · Pharmacopsychiatry · doi:10.1055/s-0031-1286287 · Cited by 862 · see citing works
Thresholds for the cost–effectiveness of interventions: alternative approaches
Marseille, E., Larson, B., Kazi, D. S., Kahn, J. G., & Rosen, S. (2015) · Bulletin of the World Health Organization · doi:10.2471/blt.14.138206 · Cited by 851 · see citing works
Bauer, M., Pfennig, A., Severus, E., Whybrow, P. C., Angst, J., Möller, H.-J., & Šon behalf of the Task Force on Unipolar Depressive Disorders (2013) · The World Journal of Biological Psychiatry · doi:10.3109/15622975.2013.804195 · Cited by 632 · see citing works
What Is the Price of Life and Why Doesn't It Increase at the Rate of Inflation?
Ubel, P. A., Hirth, R. A., Chernew, M. E., & Fendrick, A. M. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.14.1637 · Cited by 588 · see citing works
Hicks, J. K., Swen, J. J., Thorn, C. F., Sangkuhl, K., Kharasch, E. D., Ellingrod, V. L., Skaar, T. C., Müller, D., Gaedigk, A., & Stingl, J. (2013) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2013.2 · Cited by 454 · see citing works
The Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Trial: A Review
Sinyor, M., Schaffer, A., & Levitt, A. (2010) · The Canadian Journal of Psychiatry · doi:10.1177/070674371005500303 · Cited by 396 · see citing works
Prevalence, Comorbidity, and Prognosis of Mental Health Among US Veterans
TRIVEDI, R. B., Post, E. P., Sun, H., Pomerantz, A. S., Saxon, A. J., Piette, J. D., Maynard, C. C., Arnow, B. A., Curtis, I., Fihn, S. D., et al. (2015) · American Journal of Public Health · doi:10.2105/ajph.2015.302836 · Cited by 382 · see citing works
Porcelli, S., Fabbri, C., & Serretti, A. (2012) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2011.10.003 · Cited by 331 · see citing works
Chambers, D. A., Feero, W. G., & Khoury, M. J. (2016) · JAMA · doi:10.1001/jama.2016.3867 · Cited by 313 · see citing works
Analysis of human immune responses in quasi-experimental settings: tutorial in biostatistics
Sarkar, R., Ajjampur, S. S. R., Ward, H., Kang, G., & Naumova, E. N. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-1 · Cited by 305 · see citing works
de León, J., Armstrong, S. C., & Cozza, K. L. (2005) · Psychosomatics · doi:10.1176/appi.psy.47.1.75 · Cited by 300 · see citing works
Contribution of Common Genetic Variants to Antidepressant Response
Tansey, K. E., Guipponi, M., Hu, X., Domenici, E., Lewis, G., Malafosse, A., Wendland, J. R., Lewis, C. M., McGuffin, P., & Uher, R. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.10.030 · Cited by 245 · see citing works
Hall‐Flavin, D. K., Winner, J. G., Allen, J. D., Carhart, J. M., Proctor, B. D., Snyder, K. A., Drews, M. S., Eisterhold, L. L., Geske, J. R., & Mrazek, D. A. (2013) · Pharmacogenetics and Genomics · doi:10.1097/fpc.0b013e3283649b9a · Cited by 208 · see citing works
Bauer, M., Severus, E., Köhler, S., Whybrow, P. C., Angst, J., Möller, H.-J., & on behalf of the Wfsbp Task Force on Treatment Guidelines for Unipolar Depressive Disorders (2015) · The World Journal of Biological Psychiatry · doi:10.3109/15622975.2014.1001786 · Cited by 199 · see citing works
Pharmacogenetics in major depression: A comprehensive meta-analysis
Niitsu, T., Fabbri, C., Bentini, F., & Serretti, A. (2013) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2013.05.011 · Cited by 192 · see citing works
Using a pharmacogenomic algorithm to guide the treatment of depression
Hall‐Flavin, D. K., Winner, J. G., Allen, J. D., Jordan, J. J., Nesheim, R. S., Snyder, K. A., Drews, M. S., Eisterhold, L. L., Biernacka, J. M., & Mrazek, D. A. (2012) · Translational Psychiatry · doi:10.1038/tp.2012.99 · Cited by 185 · see citing works
Managing depression as a chronic disease: a randomised trial of ongoing treatment in primary care
ROST, K. M. (2002) · BMJ · doi:10.1136/bmj.325.7370.934 · Cited by 177 · see citing works
Squassina, A., Manchia, M., Manolopoulos, V. G., Artaç, M., Lappa-Manakou, C., Karkabouna, S., Mitropoulos, K. A., Zompo, M. D., & Patrinos, G. P. (2010) · Pharmacogenomics · doi:10.2217/pgs.10.97 · Cited by 165 · see citing works
Winner, J. G., Carhart, J. M., Altar, C. A., Allen, J. D., & DeChairo, B. M. (2013) · PubMed · Cited by 164 · see citing works
Faulkner, E. C., Annemans, L., Garrison, L., Helfand, M., Holtorf, A., Hornberger, J. C., Hughes, D. A., Li, T. M. W. Y., Malone, D. C., Payne, K., et al. (2012) · Value in Health · doi:10.1016/j.jval.2012.05.006 · Cited by 161 · see citing works
Self-citationElliott, L. S., Henderson, J. C., Neradilek, M. B., Moyer, N. A., Ashcraft, K. C., & Thirumaran, R. K. (2017) · PLoS ONE · doi:10.1371/journal.pone.0170905 · Cited by 161 · see citing works
Singh, A. (2015) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2015.13.2.150 · Cited by 143 · see citing works
Commercial pharmacogenetic-based decision-support tools in psychiatry
Bousman, C., & Hopwood, M. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(16)00017-1 · Cited by 140 · see citing works
Rosenblat, J. D., Lee, Y., & McIntyre, R. S. (2017) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.15r10583 · Cited by 138 · see citing works
Winner, J. G., Carhart, J. M., Altar, C. A., Goldfarb, S., Allen, J. D., Lavezzari, G., Parsons, K. K., Marshak, A. G., Garavaglia, S. B., & DeChairo, B. M. (2015) · Current Medical Research and Opinion · doi:10.1185/03007995.2015.1063483 · Cited by 136 · see citing works
Pharmacogenomics of antidepressant drugs.
Horstmann, S., & Binder, E. (2009) · Pharmacology and Therapeutics · doi:10.1016/j.pharmthera.2009.06.007 · Cited by 120 · see citing works
Berm, E. J. J., de Looff, M., Wilffert, B., Boersma, C., Annemans, L., Vegter, S., van Boven, J. F. M., & Postma, M. J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0146262 · Cited by 115 · see citing works
Berkman, N. D., Lohr, K. N., Ansari, M., McDonagh, M. S., Balk, E. M., Whitlock, E. P., Reston, J. T., Bass, E. B., Butler, M. E., Gartlehner, G., et al. (2013) · Europe PMC (PubMed Central) · Cited by 115 · see citing works
Rush, A. J., Trivedi, M. H., Carmody, T. J., Biggs, M. M., Shores‐Wilson, K., Ibrahim, H. M., & Crismon, M. L. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.04.005 · Cited by 103 · see citing works
Feldman, E. A. (2012) · Journal of General Internal Medicine · doi:10.1007/s11606-012-1988-6 · Cited by 91 · see citing works
Pharmacogenetic studies in depression: a proposal for methodologic guidelines
Serretti, A., Kato, M., & Kennedy, J. L. (2007) · The Pharmacogenomics Journal · doi:10.1038/sj.tpj.6500477 · Cited by 82 · see citing works
Perlis, R. H., Patrick, A. R., Smoller, J. W., & Wang, P. S. (2009) · Neuropsychopharmacology · doi:10.1038/npp.2009.50 · Cited by 82 · see citing works
Müller, D. J., Kekin, I., Kao, A. C.-C., & Brandl, E. J. (2013) · International Review of Psychiatry · doi:10.3109/09540261.2013.838944 · Cited by 80 · see citing works
Altar, C. A., Carhart, J. M., Allen, J. D., Hall‐Flavin, D. K., Winner, J. G., & DeChairo, B. M. (2015) · Complex Psychiatry · doi:10.1159/000430915 · Cited by 79 · see citing works
Drozda, K., Müller, D. J., & Bishop, J. R. (2014) · Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy · doi:10.1002/phar.1398 · Cited by 78 · see citing works
Fagerness, J. A., Fonseca, E., Hess, G. P., Scott, R., Gardner, K. R., Koffler, M., D, M. F. M., Perlis, R. H., Brennan, F. X., & Lombard, J. (2014) · PubMed · Cited by 75 · see citing works
The clinical application of ABCB1 genotyping in antidepressant treatment: a pilot study
Breitenstein, B., Scheuer, S., Pfister, H., Uhr, M., Lucae, S., Holsboer, F., Ising, M., & Brückl, T. M. (2013) · CNS Spectrums · doi:10.1017/s1092852913000436 · Cited by 66 · see citing works
Matchar, D. B., Thakur, M. E., Grossman, I., et al. (2007) · PubMed · Cited by 65 · see citing works
Pharmacogenomic Testing and Personalized Treatment of Depression
Perlis, R. H. (2013) · Clinical Chemistry · doi:10.1373/clinchem.2013.204446 · Cited by 61 · see citing works
Breitenstein, B., Scheuer, S., Brückl, T. M., et al. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.11.010 · Cited by 61 · see citing works
Brennan, F. X., Gardner, K. R., Lombard, J., Perlis, R. H., D, M. F. M., Harris, H. W., & Scott, R. (2015) · The Primary Care Companion For CNS Disorders · doi:10.4088/pcc.14m01717 · Cited by 51 · see citing works
Cost-effectiveness of one-time genetic testing to minimize lifetime adverse drug reactions
Alagöz, O., Durham, D., & Kasirajan, K. (2015) · The Pharmacogenomics Journal · doi:10.1038/tpj.2015.39 · Cited by 50 · see citing works
Hornberger, J. M., Li, Q., & Quinn, B. (2015) · PubMed · Cited by 50 · see citing works
Antidepressant pharmacogenetics
Singh, A., Bousman, C., Ng, C. H., & Berk, M. (2013) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000023 · Cited by 44 · see citing works
Serretti, A., Olgiati, P., Bajo, E., Bigelli, M., & Ronchi, D. D. (2011) · The World Journal of Biological Psychiatry · doi:10.3109/15622975.2011.572998 · Cited by 41 · see citing works
Olgiati, P., Bajo, E., Bigelli, M., Ronchi, D. D., & Serretti, A. (2011) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2011.08.013 · Cited by 40 · see citing works
Personalized medicine in major depressive disorder — Opportunities and pitfalls
Miller, D. B., & O'Callaghan, J. P. (2012) · Metabolism · doi:10.1016/j.metabol.2012.08.021 · Cited by 39 · see citing works
Methods for the Drug Effectiveness Review Project
McDonagh, M. S., Jonas, D. E., Gartlehner, G., Little, A. A., Peterson, K., Carson, S., Gibson, M., & Helfand, M. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-140 · Cited by 39 · see citing works
Self-citationChapter 12: Systematic Review of Prognostic Tests
Rector, T. S., Taylor, B. C., & Wilt, T. J. (2012) · Journal of General Internal Medicine · doi:10.1007/s11606-011-1899-y · Cited by 37 · see citing works
Selecting Observational Studies for Comparing Medical Interventions
Norris, S. L., Atkins, D. C., Bruening, W., Fox, S., Johnson, E. L., Kane, R. L., Morton, S. C., Oremus, M., Ospina, M. B., Randhawa, G., et al. (2008) · Europe PMC (PubMed Central) · Cited by 37 · see citing works
Direct-To-Consumer Genome Testing: Opportunities for Pharmacogenomics Research?
Prainsack, B., & Wolinsky, H. (2010) · Pharmacogenomics · doi:10.2217/pgs.10.33 · Cited by 32 · see citing works
Pharmacogenetic Tests in Psychiatry
de León, J. (2016) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0000000000000522 · Cited by 32 · see citing works
The serotonin transporter gene and effectiveness of SSRIs
Serretti, A., & Kato, M. (2008) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.8.1.111 · Cited by 27 · see citing works
Fiore, L. D., Brophy, M. T., Turek, S., Kudesia, V., Ramnath, N., Shannon, C., Ferguson, R. E., Pyarajan, S., Fiore, M., Hornberger, J. C., et al. (2016) · Biomarkers in Cancer · doi:10.4137/bic.s37548 · Cited by 25 · see citing works
Atypical Antipsychotics Are Not All Alike: Side Effects and Risk Assessment
Howland, R. H. (2014) · Journal of Psychosocial Nursing and Mental Health Services · doi:10.3928/02793695-20140820-01 · Cited by 22 · see citing works
Pharmacogenetic Testing in Psychiatry: Not (Quite) Ready for Primetime
Howland, R. H. (2014) · Journal of Psychosocial Nursing and Mental Health Services · doi:10.3928/02793695-20141021-09 · Cited by 13 · see citing works
Jonas, D. E., Wilt, T. J., Taylor, B. C., et al. (2012) · Journal of General Internal Medicine · doi:10.1007/s11606-011-1898-z · Cited by 9 · see citing works
FDA regulation of LDTs--an update.
Jones, P. M. (2015) · PubMed · Cited by 5 · see citing works
Duplicative and unnecessary regulation of LDTs will hamper diagnostic innovation.
Mertz, A. (2014) · PubMed · Cited by 2 · see citing works
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Moving pharmacoepigenetics tools for depression toward clinical use
Hack, L. M., Fries, G. R., Eyre, H. A., Bousman, C. A., Singh, A. B., Quevedo, J., John, V. P., Baune, B. T., & Dunlop, B. W. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.02.009 · Cited by 33 · see citing works
- Authors
- Peterson, K., Dieperink, E., Anderson, J., Boundy, E., Ferguson, L., & Helfand, M.
- Affiliations
- Portland VA Medical Center (US)
- Minneapolis VA Health Care System (US)
- Corresponding author
- Peterson, Kimberly
- Venue
- Psychopharmacology
- Published
- 2017-04-29
- Volume
- 234
- Issue
- 11
- Pages
- 1649-1661
- ISSN
- 0033-3158 (ISSN-L)
- 1432-2072
- OpenAlex
- W2519297859
- Cited by
- 56
- References
- 65
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 2 · 2021: 7 · 2020: 9 · 2019: 9 · 2018: 11 · 2017: 11
- FWCI
- 11.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychopharmacology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Quality Enhancement Research Initiative (Project #09-199)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- pharmacogenomics, antidepressant treatment, major depressive disorder, pharmacogenetic testing, CYP2D6, CYP2C19, P-glycoprotein, remission, treatment tolerability, cost-effectiveness, usual care
- MeSH terms
- Antidepressive Agents, Cost-Benefit Analysis, Major Depressive Disorder, Genotype, Humans, Pharmacogenetics, Treatment Outcome
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