| Title |
Pharmacogenetic Decision Support Tools: A New Paradigm for Late-Life Depression?
|
|---|---|
| Published in |
American Journal of Geriatric Psychiatry: Official Journal of the American Association for Geriatric Psychiatry, May 2017
|
| DOI | 10.1016/j.jagp.2017.05.012 |
| Pubmed ID | |
| Authors | |
| Abstract |
Clinicians still employ a "trial-and-error" approach to optimizing treatment regimens for late-life depression (LLD). With LLD affecting a significant and growing segment of the population, and with only about half of older adults responsive to antidepressant therapy, there is an urgent need for a better treatment paradigm. Pharmacogenetic decision support tools (DSTs), which are emerging technologies that aim to provide clinically actionable information based on a patient's genetic profile, offer a promising solution. Dozens of DSTs have entered the market in the past 15 years, but with varying level of empirical evidence to support their value. In this clinical review, we provide a critical analysis of the peer-reviewed literature on DSTs for major depression management. We then discuss clinical considerations for the use of these tools in treating LLD, including issues related to test interpretation, timing, and patient perspectives. In adult populations, newer generation DSTs show promise for the treatment of major depression. However, there are no primary clinical trials in LLD cohorts. Independent and comparative clinical trials are needed. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 12% |
| Student > Ph. D. Student | 7 | 11% |
| Researcher | 6 | 9% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 13 | 20% |
| Unknown | 23 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 15% |
| Psychology | 9 | 14% |
| Neuroscience | 7 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 10 | 15% |
| Unknown | 22 | 33% |