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Where are the breaks in translation from theory to clinical practice (and back) in addressing depression? An empirical graph-theoretic approach

  • Greg J. Siegle (a1), Angélique O.J. Cramer (a2), Nees Jan van Eck (a3), Philip Spinhoven (a3), Steven D. Hollon (a4), Johan Ormel (a5), Marlene Strege (a6) and Claudi L. H. Bockting (a7)...

Abstract

Background

Research in depression has progressed rapidly over the past four decades. Yet depression rates are not subsiding and treatment success is not improving. We examine the extent to which the gap between science and practice is associated with the level of integration in how depression is considered in research and stakeholder-relevant documents.

Methods

We used a network-science perspective to analyze similar uses of depression relevant terms in the Google News corpus (approximately 1 billion words) and the Web of Science database (120 000 documents).

Results

These analyses yielded consistent pictures of insular modules associated with: (1) patient/providers, (2) academics, and (3) industry. Within academia insular modules associated with psychology, general medical, and psychiatry/neuroscience/biology were also detected.

Conclusions

These analyses suggest that the domain of depression is fragmented, and that advancements of relevance to one stakeholder group (academics, industry, or patients) may not translate to the others. We consider potential causes and associated responses to this fragmentation that could help to unify and advance translation from research on depression to the clinic, largely involving harmonizing employed language, bridging conceptual domains, and increasing communication across stakeholder groups.

Copyright

Corresponding author

Author for correspondence: Greg J. Siegle, E-mail: gsiegle@pitt.edu

References

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Ai, AL, Nicdao, EG, Appel, HB and Lee, DHJ (2015) Ethnic identity and major depression in Asian American subgroups nationwide: differential findings in relation to subcultural contexts. Journal of Clinical Psychology 71, 12251244.
Alving, B, Dai, K and Chan, SHH (2012) Translational Medicine – What, Why and How: An International Perspective. Basel, Switzerland: Karger Medical and Scientific Publishers.
Andrews, PW and Thomson, JA Jr (2009) The bright side of being blue: depression as an adaptation for analyzing complex problems. Psychological Review 116, 620654.
Angst, J and Merikangas, K (1997) The depressive spectrum: diagnostic classification and course. Journal of Affective Disorders 45, 3140.
Baksa, D, Gonda, X and Juhasz, G (2017) Why are migraineurs more depressed? A review of the factors contributing to the comorbidity of migraine and depression. Neuropsychopharmacologia Hungarica 19, 3744.
Breslau, N, Lipton, RB, Stewart, WF, Schultz, LR and Welch, KMA (2003) Comorbidity of migraine and depression: investigating potential etiology and prognosis. Neurology 60, 13081312.
Cai, JJ, Borenstein, E and Petrov, DA (2010) Broker genes in human disease. Genome Biology and Evolution 2, 815825.
Casadevall, A and Fang, FC (2014) Specialized science. Infection and Immunity 82, 13551360.
Caspi, A, Sugden, K, Moffitt, TE, Taylor, A, Craig, IW, Harrington, H, McClay, J, Mill, J, Martin, J, Braithwaite, A and Poulton, R (2003) Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene. Science 301, 386389.
Cramer, AOJ, Waldorp, LJ, van der Maas, HLJ and Borsboom, D (2010) Comorbidity: a network perspective. The Behavioral and Brain Sciences 33, 137150, discussion 150–93.
Daughtry, D and Kunkel, MA (1993) Experience of depression in college students: a concept map. Journal of Counseling Psychology 40, 316323.
Domingos, P and Richardson, M (2001) Mining the network value of customers. In Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining (KDD ’01), August, San Francisco, CA.
Duan, Z-G, Wu, Y and Long, C (2015) Analysis on international scientific collaboration and research focus on depression field. Chinese Medical Journal 128, 687.
Eisenberg, D and Druss, BG (2015) Time preferences, mental health and treatment utilization. The Journal of Mental Health Policy and Economics 18, 125136.
Frodl, T (2016) Systems Neuroscience in Depression. Cambridge, MA: Academic Press.
Gotlib, IH and Hammen, CL (2015) Handbook of Depression. New York, NY: Guilford Publications.
Hagmayer, Y and Engelmann, N (2014) Causal beliefs about depression in different cultural groups – what do cognitive psychological theories of causal learning and reasoning predict? Frontiers in Psychology 5, 1303.
Hausdorff, F (2001) Dimension und äußeres Maß. In Felix Hausdorff Gesammelte Werke. pp. 1954.
Holmes, EA, Craske, MG and Graybiel, AM (2014) Psychological treatments: a call for mental-health science. Nature 511, 287289.
Humphries, MD and Gurney, K (2008) Network ‘small-world-ness’: a quantitative method for determining canonical network equivalence. PLoS ONE 3, e0002051.
Insel, TR (2012) Next-generation treatments for mental disorders. Science Translational Medicine 4, 155ps19155ps19.
Institute of Medicine, Board on the Health of Select Populations (2013) Cognitive Rehabilitation Therapy for Traumatic Brain Injury: Model Study Protocols and Frameworks to Advance the State of the Science: Workshop Summary. Washington, DC: National Academies Press.
Jancin, B (2013) Depression fuels path from episodic to chronic migraine. Clinical Psychiatry News 41, 20.
Karlin, BE and Cross, G (2014) Enhancing access, fidelity, and outcomes in the national dissemination of evidence-based psychotherapies. The American Psychologist 69, 709711.
Kempe, D, Kleinberg, J and Tardos, É (2003) Maximizing the spread of influence through a social network. In Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining (KDD ’03), August, Washington, DC.
Kennedy, N, Foy, K, Sherazi, R, McDonough, M and McKeon, P (2007) Long-term social functioning after depression treated by psychiatrists: a review. Bipolar Disorders 9, 2537.
Kessler, RC and Bromet, EJ (2013) The epidemiology of depression across cultures. Annual Review of Public Health 34, 119138.
Kilbourne, AM, Williams, M, Bauer, MS and Arean, P (2012) Implementation research: reducing the research-to-practice gap in depression treatment. Depression Research and Treatment 2012, 12.
Kleinman, A and Good, B (1985) Culture and Depression: Studies in the Anthropology and Cross-Cultural Psychiatry of Affect and Disorder. Berkeley, CA: Univ. of California Press.
Konganti, K, Wang, G, Yang, E and Cai, JJ (2013) SBEToolbox: a Matlab toolbox for biological network analysis. Evolutionary Bioinformatics Online 9, 355362.
Krieger, S (2011) Multiple sclerosis therapeutic pipeline: opportunities and challenges. Mount Sinai Journal of Medicine: A Journal of Translational and Personalized Medicine 78, 192206.
Lantéri-Minet, M, Radat, F, Chautard, M-H and Lucas, C (2005) Anxiety and depression associated with migraine: influence on migraine subjects' disability and quality of life, and acute migraine management. Pain 118, 319326.
Lemieux-Charles, L and McGuire, WL (2006) What do we know about health care team effectiveness? A review of the literature. Medical Care Research and Review: MCRR 63, 263300.
Llesuy, JR (2012) Depression and migraine. In Kanner, AM (ed.), Depression in Neurologic Disorders: Diagnosis and Management. Hoboken, NJ: Blackwell Publishing Ltd, pp. 103115.
Lyall, C, Bruce, A, Marsden, W and Meagher, L (2013) The role of funding agencies in creating interdisciplinary knowledge. Science & Public Policy 40, 6271.
Mikolov, T, Chen, K, Corrado, G and Dean, J (2013) Efficient estimation of word representations in vector space. In Proceedings of the International Conference on Learning Representations (ICLR), May, Scottsdale, Arizona. Available web: https://arxiv.org/pdf/1301.3781.pdf
Morris, ZS, Wooding, S and Grant, J (2011) The answer is 17 years, what is the question: understanding time lags in translational research. Journal of the Royal Society of Medicine 104, 510520.
Nebes, RD, Pollock, BG, Houck, PR, Butters, MA, Mulsant, BH, Zmuda, MD and Reynolds, CF (2003) Persistence of cognitive impairment in geriatric patients following antidepressant treatment: a randomized, double-blind clinical trial with nortriptyline and paroxetine. Journal of Psychiatric Research 37, 99108.
Oborn, E (2012) Facilitating implementation of the translational research pipeline in neurological rehabilitation. Current Opinion in Neurology 25, 676681.
Read, A (1992) The scientific dialogue: from basic research to clinical intervention. Behaviour Research and Therapy 30, 80.
Torres, L (2010) Predicting levels of Latino depression: acculturation, acculturative stress, and coping. Cultural Diversity & Ethnic Minority Psychology 16, 256263.
To thwart disease, apply now (2008). Nature 453, 823.
Tsuji, K and Tsutani, K (2008) Follow the leader. Nature 453, 851852.
van Eck, NJ and Waltman, L (2010) Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84, 523538.
Van Eck, N and Waltman, JL (2011) Text mining and visualization using VOSviewer. ISSI Newsletter 7, 5054.
Weersing, VR, Rozenman, M and Gonzalez, A (2009) Core components of therapy in youth: do we know what to disseminate? Behavior Modification 33, 2447.
Wehling, M (2015) Principles of Translational Science in Medicine: From Bench to Bedside. Cambridge, MA: Academic Press.
Williams, MS (2015) Is the genomic translational pipeline being disrupted? Human Genomics 9, 9.
World Health Organization (2017) Depression and Other Common Mental Disorders: Global Health Estimates. Geneva, Switzerland: World Health Organization.
Zarcone, D and Corbetta, S (2017) Shared mechanisms of epilepsy, migraine and affective disorders. Neurological Sciences 38, 7376.
Zerhouni, E (2003) Medicine: the NIH roadmap. Science 302, 6372.

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Where are the breaks in translation from theory to clinical practice (and back) in addressing depression? An empirical graph-theoretic approach

  • Greg J. Siegle (a1), Angélique O.J. Cramer (a2), Nees Jan van Eck (a3), Philip Spinhoven (a3), Steven D. Hollon (a4), Johan Ormel (a5), Marlene Strege (a6) and Claudi L. H. Bockting (a7)...

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