Cited by 482Treatment of Major DepressionTranscranial Magnetic Stimulation StudiesElectroconvulsive Therapy Studies

Prognosis and improved outcomes in major depression: a review

Open access
Kraus, Christoph, Kadriu, Bashkim, Lanzenberger, Rupert, Zarate, Carlos A., Kasper, Siegfried·2019·Translational Psychiatry

Abstract

Treatment outcomes for major depressive disorder (MDD) need to be improved. Presently, no clinically relevant tools have been established for stratifying subgroups or predicting outcomes. This literature review sought to investigate factors closely linked to outcome and summarize existing and novel strategies for improvement. The results show that early recognition and treatment are crucial, as duration of untreated depression correlates with worse outcomes. Early improvement is associated with response and remission, while comorbidities prolong course of illness. Potential biomarkers have been explored, including hippocampal volumes, neuronal activity of the anterior cingulate cortex, and levels of brain-derived neurotrophic factor (BDNF) and central and peripheral inflammatory markers (e.g., translocator protein (TSPO), interleukin-6 (IL-6), C-reactive protein (CRP), tumor necrosis factor alpha (TNFα)). However, their integration into routine clinical care has not yet been fully elucidated, and more research is needed in this regard. Genetic findings suggest that testing for CYP450 isoenzyme activity may improve treatment outcomes. Strategies such as managing risk factors, improving clinical trial methodology, and designing structured step-by-step treatments are also beneficial. Finally, drawing on existing guidelines, we outline a sequential treatment optimization paradigm for selecting first-, second-, and third-line treatments for acute and chronically ill patients. Well-established treatments such as electroconvulsive therapy (ECT) are clinically relevant for treatment-resistant populations, and novel transcranial stimulation methods such as theta-burst stimulation (TBS) and magnetic seizure therapy (MST) have shown promising results. Novel rapid-acting antidepressants, such as ketamine, may also constitute a paradigm shift in treatment optimization for MDD.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41398-019-0460-3

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Meta-analyses and systematic reviews have described initial symptom severity, personality characteristics, heredity, childhood stressful events, neurophysiological markers, and genetic determinants as possible predictors of psychotherapy outcome in anxiety and depressive disorders.

    “В метаанализах и систематических обзорах в качестве возможных предикторов исхода психотерапии тревожных и депрессивных расстройств описаны изначальная тяжесть клинических симптомов [7-9], личностные характеристики пациентов [10], насле дственность [8], стрессовые события в детстве [9], нейрофизиологические маркеры [9, 11], генетические детерминанты [9].”

    From Positive-Dialogue Psychotherapy Outcome Predictors in Patients with General Anxiety Disorder and Mixed Anxiety and Depressive Disorder (2024) · cites this paper as [9]

    The review’s “Prognostic variables for treatment outcomes in MDD” section discusses baseline severity, childhood maltreatment, neuroimaging markers, and candidate genes as possible predictors; its discussion of severity notes mixed findings. It concerns treatment outcomes in major depressive disorder, often specifically antidepressant treatment, rather than psychotherapy outcomes across both anxiety and depressive disorders. Page numbers are unavailable in our copy. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 157

  1. [2]Lim SS A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010 Lancet 2012 380 2224 2260 10.1016/S0140-6736(12)61766-8 23245609 PMC4156511 · DOI · Paper page
  2. [3]Lecrubier, Y. Widespread underrecognition and undertreatment of anxiety and mood disorders: results from 3 European studies. J. Clin. Psychiatry68 Suppl 2, 36–41 (2007). 17288506
  3. [4]Riedel M Clinical predictors of response and remission in inpatients with depressive syndromes J. Affect. Disord. 2011 133 137 149 10.1016/j.jad.2011.04.007 21555156 · DOI
  4. [5]Rost K Persistently poor outcomes of undetected major depression in primary care Gen. Hosp. Psychiatry 1998 20 12 20 10.1016/S0163-8343(97)00095-9 9506250 · DOI
  5. [6]Ghio L Gotelli S Marcenaro M Amore M Natta W Duration of untreated illness and outcomes in unipolar depression: a systematic review and meta-analysis J. Affect. Disord. 2014 152–154 45 51 10.1016/j.jad.2013.10.002 24183486 · DOI
  6. [7]Hung CI Liu CY Yang CH Untreated duration predicted the severity of depression at the two-year follow-up point PLoS ONE 2017 12 e0185119 10.1371/journal.pone.0185119 28934289 PMC5608308 · DOI
  7. [8]Bukh JD Bock C Vinberg M Kessing LV The effect of prolonged duration of untreated depression on antidepressant treatment outcome J. Affect. Disord. 2013 145 42 48 10.1016/j.jad.2012.07.008 22854096 · DOI
  8. [9]Habert, J. et al. Functional recovery in major depressive disorder: Focus on early optimized treatment. Prim Care Companion CNS Disord.18 (2016). 27835721
  9. [10]Kautzky A Clinical factors predicting treatment resistant depression: affirmative results from the European multicenter study Acta Psychiatr. Scand. 2018 139 78 88 10.1111/acps.12959 30291625 PMC6586002 · DOI · Paper page
  10. [11]Furukawa TA Kitamura T Takahashi K Time to recovery of an inception cohort with hitherto untreated unipolar major depressive episodes Br. J. Psychiatry.: J. Ment. Sci. 2000 177 331 335 10.1192/bjp.177.4.331 11116774 · DOI
  11. [12]Feffer K Early symptom improvement at 10 sessions as a predictor of rTMS treatment outcome in major depression Brain Stimul. 2018 11 181 189 10.1016/j.brs.2017.10.010 29107623 · DOI
  12. [13]Martinez-Amoros E Early improvement as a predictor of final remission in major depressive disorder: New insights in electroconvulsive therapy J. Affect. Disord. 2018 235 169 175 10.1016/j.jad.2018.03.014 29656263 · DOI
  13. [14]Soares CN Endicott J Boucher M Fayyad RS Guico-Pabia CJ Predictors of functional response and remission with desvenlafaxine 50 mg/d in patients with major depressive disorder CNS Spectr. 2014 19 519 527 10.1017/S1092852914000066 24571916 · DOI
  14. [15]Lam RW Predictors of functional improvement in employed adults with major depressive disorder treated with desvenlafaxine Int Clin. Psychopharmacol. 2014 29 239 251 10.1097/YIC.0000000000000031 24583567 · DOI
  15. [16]Jha MK Early improvement in work productivity predicts future clinical course in depressed outpatients: Findings from the CO-MED trial Am. J. Psychiatry 2016 173 1196 1204 10.1176/appi.ajp.2016.16020176 27523501 PMC5895453 · DOI
  16. [19]Olgiati P Early improvement and response to antidepressant medications in adults with major depressive disorder. Meta-analysis and study of a sample with treatment-resistant depression J. Affect Disord. 2018 227 777 786 10.1016/j.jad.2017.11.004 29254066 · DOI
  17. [20]de Vries YA Predicting antidepressant response by monitoring early improvement of individual symptoms of depression: individual patient data meta-analysis Br. J. Psychiatry.: J. Ment. Sci. 2018 214 1 7 PMC7557872 29952277
  18. [21]Trivedi MH Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice Am. J. Psychiatry 2006 163 28 40 10.1176/appi.ajp.163.1.28 16390886 · DOI · Paper page
  19. [22]Blom MB Severity and duration of depression, not personality factors, predict short term outcome in the treatment of major depression J. Affect. Disord. 2007 104 119 126 10.1016/j.jad.2007.03.010 17467059 · DOI
  20. [23]Kautzky A Refining prediction in treatment-resistant depression: results of machine learning analyses in the TRD III sample J. Clin. Psychiatry 2018 79 16m11385 10.4088/JCP.16m11385 29228516 · DOI
  21. [24]Katon W Unutzer J Russo J Major depression: the importance of clinical characteristics and treatment response to prognosis Depress Anxiety 2010 27 19 26 10.1002/da.20613 19798766 · DOI
  22. [25]Papakostas GI Surrogate markers of treatment outcome in major depressive disorder Int. J. Neuropsychopharmacol./Off. Sci. J. Coll. Int. Neuropsychopharmacol. 2012 15 841 854 21813045
  23. [27]Balestri M Socio-demographic and clinical predictors of treatment resistant depression: A prospective European multicenter study J. Affect Disord. 2016 189 224 232 10.1016/j.jad.2015.09.033 26451508 · DOI
  24. [29]Mandelli L Opinion paper: poor response to treatment of depression in people in high occupational levels Psychol. Med. 2019 49 49 54 10.1017/S003329171800288X 30311597 · DOI
  25. [31]Paksarian D Stability and change in reported age of onset of depression, back pain, and smoking over 29 years in a prospective cohort study J. Psychiatr. Res. 2017 88 105 112 10.1016/j.jpsychires.2017.01.005 28113111 PMC5382717 · DOI
  26. [32]Wells K Five-year impact of quality improvement for depression: results of a group-level randomized controlled trial Arch. Gen. Psychiatry 2004 61 378 386 10.1001/archpsyc.61.4.378 15066896 · DOI
  27. [33]Vinkers CH Stress exposure across the life span cumulatively increases depression risk and is moderated by neuroticism Depress Anxiety 2014 31 737 745 10.1002/da.22262 24753162 · DOI
  28. [34]Kendler KS Kuhn J Prescott CA The interrelationship of neuroticism, sex, and stressful life events in the prediction of episodes of major depression Am. J. Psychiatry 2004 161 631 636 10.1176/appi.ajp.161.4.631 15056508 · DOI · Paper page
  29. [35]Nanni V Uher R Danese A Childhood maltreatment predicts unfavorable course of illness and treatment outcome in depression: a meta-analysis Am. J. Psychiatry 2012 169 141 151 10.1176/appi.ajp.2011.11020335 22420036 · DOI · Paper page
  30. [36]Thompson AE Kaplan CA Childhood emotional abuse Br. J. Psychiatry.: J. Ment. Sci. 1996 168 143 148 10.1192/bjp.168.2.143 8837902 · DOI
  31. [39]Keers R Stressful life events, cognitive symptoms of depression and response to antidepressants in GENDEP J. Affect. Disord. 2010 127 337 342 10.1016/j.jad.2010.06.011 20609482 · DOI
  32. [40]Henriksen CA Identifying factors that predict longitudinal outcomes of untreated common mental disorders Psychiatr. Serv. 2015 66 163 170 10.1176/appi.ps.201300564 25269684 · DOI
  33. [41]Dennehy EB Marangell LB Martinez J Balasubramani GK Wisniewski SR Clinical and functional outcomes of patients who experience partial response to citalopram: secondary analysis of STAR*D J. Psychiatr. Pract. 2014 20 178 187 10.1097/01.pra.0000450317.76117.62 24847991 · DOI
  34. [42]Dold M Clinical characteristics and treatment outcomes of patients with major depressive disorder and comorbid anxiety disorders—results from a European multicenter study J. Psychiatr. Res. 2017 91 1 13 10.1016/j.jpsychires.2017.02.020 28284107 · DOI · Paper page
  35. [43]Fava M Difference in treatment outcome in outpatients with anxious versus nonanxious depression: a STAR*D report Am. J. Psychiatry 2008 165 342 351 10.1176/appi.ajp.2007.06111868 18172020 · DOI · Paper page
  36. [44]Angstman KB Personality disorders in primary care: impact on depression outcomes within collaborative care J. Prim. Care Community Health 2017 8 233 238 10.1177/2150131917714929 28613090 PMC5932731 · DOI
  37. [45]Zeeck A Prognostic and prescriptive predictors of improvement in a naturalistic study on inpatient and day hospital treatment of depression J. Affect. Disord. 2016 197 205 214 10.1016/j.jad.2016.03.039 26995464 · DOI
  38. [46]Newton-Howes G Tyrer P Johnson T Personality disorder and the outcome of depression: meta-analysis of published studies Br. J. Psychiatry.: J. Ment. Sci. 2006 188 13 20 10.1192/bjp.188.1.13 16388064 · DOI · Paper page
  39. [47]Whooley MA Depressive symptoms, health behaviors, and risk of cardiovascular events in patients with coronary heart disease JAMA 2008 300 2379 2388 10.1001/jama.2008.711 19033588 PMC2677371 · DOI · Paper page
  40. [49]Fugger G Comorbid thyroid disease in patients with major depressive disorder—results from the European Group for the Study of Resistant Depression (GSRD) Eur. Neuropsychopharmacol. 2018 28 752 760 10.1016/j.euroneuro.2018.03.011 29705022 · DOI
  41. [50]Iosifescu DV The impact of medical comorbidity on acute treatment in major depressive disorder Am. J. Psychiatry 2003 160 2122 2127 10.1176/appi.ajp.160.12.2122 14638581 · DOI · Paper page
  42. [51]Oslin DW Association between medical comorbidity and treatment outcomes in late-life depression J. Am. Geriatr. Soc. 2002 50 823 828 10.1046/j.1532-5415.2002.50206.x 12028167 · DOI
  43. [52]Amital D Physical co-morbidity among treatment resistant vs. treatment responsive patients with major depressive disorder Eur. Neuropsychopharmacol. 2013 23 895 901 10.1016/j.euroneuro.2012.09.002 23121858 · DOI
  44. [53]Karp JF Pain predicts longer time to remission during treatment of recurrent depression J. Clin. Psychiatry 2005 66 591 597 10.4088/JCP.v66n0508 15889945 · DOI
  45. [54]Ohayon MM Schatzberg AF Using chronic pain to predict depressive morbidity in the general population Arch. Gen. Psychiatry 2003 60 39 47 10.1001/archpsyc.60.1.39 12511171 · DOI · Paper page
  46. [56]Bogner HR The role of medical comorbidity in outcome of major depression in primary care: the PROSPECT study Am. J. Geriatr. Psychiatry 2005 13 861 868 10.1097/00019442-200510000-00005 16223964 PMC2810140 · DOI
  47. [58]Phillips JL Batten LA Tremblay P Aldosary F Blier P A prospective, longitudinal study of the effect of remission on cortical thickness and hippocampal volume in patients with treatment-resistant depression Int. J. Neuropsychopharmacol. / Off. Sci. J. Coll. Int. Neuropsychopharmacol. 2015 18 pyv037 PMC4571636 25829180
  48. [60]Fu CH Steiner H Costafreda SG Predictive neural biomarkers of clinical response in depression: a meta-analysis of functional and structural neuroimaging studies of pharmacological and psychological therapies Neurobiol. Dis. 2013 52 75 83 10.1016/j.nbd.2012.05.008 22659303 · DOI · Paper page
  49. [61]Frodl T Reduced hippocampal volumes associated with the long variant of the serotonin transporter polymorphism in major depression Arch. Gen. Psychiatry 2004 61 177 183 10.1001/archpsyc.61.2.177 14757594 · DOI
  50. [62]Vythilingam M Hippocampal volume, memory, and cortisol status in major depressive disorder: effects of treatment Biol. Psychiatry 2004 56 101 112 10.1016/j.biopsych.2004.04.002 15231442 · DOI · Paper page
  51. [63]Schmaal L Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group Mol. Psychiatry 2017 22 900 909 10.1038/mp.2016.60 27137745 PMC5444023 · DOI · Paper page
  52. [64]Wilkinson ST Sanacora G Bloch MH Hippocampal volume changes following electroconvulsive therapy: a systematic review and meta-analysis Biol. Psychiatry Cogn. Neurosci. Neuroimaging 2017 2 327 335 10.1016/j.bpsc.2017.01.011 28989984 PMC5627663 · DOI
  53. [66]Dukart J Electroconvulsive therapy-induced brain plasticity determines therapeutic outcome in mood disorders Proc. Natl Acad. Sci. USA 2014 111 1156 1161 10.1073/pnas.1321399111 24379394 PMC3903198 · DOI · Paper page
  54. [67]Gryglewski G Structural changes in amygdala nuclei, hippocampal subfields and cortical thickness following electroconvulsive therapy in treatment-resistant depression: longitudinal analysis Br. J. Psychiatr 2019 214 159 167 10.1192/bjp.2018.224 PMC6383756 30442205 · DOI
  55. [68]Oltedal L Volume of the human hippocampus and clinical response following electroconvulsive therapy Biol. Psychiatry 2018 84 574 581 10.1016/j.biopsych.2018.05.017 30006199 PMC6697556 · DOI
  56. [74]Wang L Serotonin-1A receptor alterations in depression: a meta-analysis of molecular imaging studies BMC Psychiatry 2016 16 319 10.1186/s12888-016-1025-0 27623971 PMC5022168 · DOI · Paper page
  57. [75]Miller JM Brain serotonin 1A receptor binding as a predictor of treatment outcome in major depressive disorder Biol. Psychiatry 2013 74 760 767 10.1016/j.biopsych.2013.03.021 23664414 PMC4066966 · DOI
  58. [76]Miller JM Oquendo MA Ogden RT Mann JJ Parsey RV Serotonin transporter binding as a possible predictor of one-year remission in major depressive disorder J. Psychiatr. Res. 2008 42 1137 1144 10.1016/j.jpsychires.2008.01.012 18331740 PMC2670200 · DOI
  59. [78]Drevets WC Neuroimaging studies of mood disorders Biol. Psychiatry 2000 48 813 829 10.1016/S0006-3223(00)01020-9 11063977 · DOI
  60. [79]Kennedy SH Differences in brain glucose metabolism between responders to CBT and venlafaxine in a 16-week randomized controlled trial Am. J. Psychiatry 2007 164 778 788 10.1176/ajp.2007.164.5.778 17475737 · DOI · Paper page
  61. [80]Setiawan E Role of translocator protein density, a marker of neuroinflammation, in the brain during major depressive episodes JAMA Psychiatry 2015 72 268 275 10.1001/jamapsychiatry.2014.2427 25629589 PMC4836849 · DOI · Paper page
  62. [81]Richards EM PET radioligand binding to translocator protein (TSPO) is increased in unmedicated depressed subjects EJNMMI Res. 2018 8 57 10.1186/s13550-018-0401-9 29971587 PMC6029989 · DOI
  63. [82]Holmes SE Elevated translocator protein in anterior cingulate in major depression and a role for inflammation in suicidal thinking: a positron emission tomography study Biol. Psychiatry 2018 83 61 69 10.1016/j.biopsych.2017.08.005 28939116 · DOI · Paper page
  64. [83]Wium-Andersen MK Orsted DD Nordestgaard BG Elevated plasma fibrinogen, psychological distress, antidepressant use, and hospitalization with depression: two large population-based studies Psychoneuroendocrinology 2013 38 638 647 10.1016/j.psyneuen.2012.08.006 22981529 · DOI
  65. [84]Jha MK Can C-reactive protein inform antidepressant medication selection in depressed outpatients? Findings from the CO-MED trial Psychoneuroendocrinology 2017 78 105 113 10.1016/j.psyneuen.2017.01.023 28187400 PMC6080717 · DOI · Paper page
  66. [85]Kohler-Forsberg O Association between C-reactive protein (CRP) with depression symptom severity and specific depressive symptoms in major depression Brain Behav. Immun. 2017 62 344 350 10.1016/j.bbi.2017.02.020 28257825 · DOI · Paper page
  67. [86]Strawbridge R Inflammation and clinical response to treatment in depression: A meta-analysis Eur. Neuropsychopharmacol.: J. Eur. Coll. Neuropsychopharmacol. 2015 25 1532 1543 10.1016/j.euroneuro.2015.06.007 26169573 · DOI · Paper page
  68. [87]Lamers F Serum proteomic profiles of depressive subtypes Transl. Psychiatry 2016 6 e851 10.1038/tp.2016.115 27404283 PMC5545705 · DOI
  69. [88]Kadriu B Acute ketamine administration corrects abnormal inflammatory bone markers in major depressive disorder Mol. Psychiatry 2017 23 1626 1631 10.1038/mp.2017.109 28555075 PMC5709243 · DOI
  70. [90]Schmidt HD Shelton RC Duman RS Functional biomarkers of depression: diagnosis, treatment, and pathophysiology Neuropsychopharmacology 2011 36 2375 2394 10.1038/npp.2011.151 21814182 PMC3194084 · DOI
  71. [92]Brunoni AR Baeken C Machado-Vieira R Gattaz WF Vanderhasselt MA BDNF blood levels after electroconvulsive therapy in patients with mood disorders: a systematic review and meta-analysis World J. Biol. Psychiatry 2014 15 411 418 10.3109/15622975.2014.892633 24628093 · DOI
  72. [94]Wray NR Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression Nat. Genet. 2018 50 668 681 10.1038/s41588-018-0090-3 29700475 PMC5934326 · DOI · Paper page
  73. [95]Fabbri C Consensus paper of the WFSBP Task Force on Genetics: Genetics, epigenetics and gene expression markers of major depressive disorder and antidepressant response World J. Biol. Psychiatry 2017 18 5 28 10.1080/15622975.2016.1208843 27603714 · DOI
  74. [96]Kautzky A The combined effect of genetic polymorphisms and clinical parameters on treatment outcome in treatment-resistant depression Eur. Neuropsychopharmacol. 2015 25 441 453 10.1016/j.euroneuro.2015.01.001 25769916 · DOI
  75. [97]Stamm TJ The FKBP5 polymorphism rs1360780 influences the effect of an algorithm-based antidepressant treatment and is associated with remission in patients with major depression J. Psychopharmacol. 2016 30 40 47 10.1177/0269881115620459 26645208 · DOI
  76. [98]Binder EB Polymorphisms in FKBP5 are associated with increased recurrence of depressive episodes and rapid response to antidepressant treatment Nat. Genet. 2004 36 1319 1325 10.1038/ng1479 15565110 · DOI · Paper page
  77. [99]Fabbri C Pleiotropic genes in psychiatry: Calcium channels and the stress-related FKBP5 gene in antidepressant resistance Prog. Neuropsychopharmacol. Biol. Psychiatry 2018 81 203 210 10.1016/j.pnpbp.2017.10.005 28989100 · DOI
  78. [100]Klengel T Binder EB Gene x environment interactions in the prediction of response to antidepressant treatment Int. J. Neuropsychopharmacol./Off. Sci. J. Coll. Int. Neuropsychopharmacol. 2013 16 701 711 23237009
  79. [101]Schosser A Kasper S The role of pharmacogenetics in the treatment of depression and anxiety disorders Int. Clin. Psychopharmacol. 2009 24 277 288 10.1097/YIC.0b013e3283306a2f 19738481 · DOI
  80. [102]Zeier Z Clinical implementation of pharmacogenetic decision support tools for antidepressant drug prescribing Am. J. Psychiatry 2018 175 873 886 10.1176/appi.ajp.2018.17111282 29690793 PMC6774046 · DOI
  81. [103]Jukic MM Haslemo T Molden E Ingelman-Sundberg M Impact of CYP2C19 genotype on escitalopram exposure and therapeutic failure: A retrospective study based on 2,087 patients Am. J. Psychiatry 2018 175 463 470 10.1176/appi.ajp.2017.17050550 29325448 · DOI
  82. [104]Bauer M World Federation of Societies of Biological Psychiatry (WFSBP) guidelines for biological treatment of unipolar depressive disorders, part 1: update 2013 on the acute and continuation treatment of unipolar depressive disorders World J. Biol. Psychiatry 2013 14 334 385 10.3109/15622975.2013.804195 23879318 · DOI · Paper page
  83. [107]Kasper, S. & Montgomery, S. A. Ohio Library and Information Network, Wiley Online Library (Online service). Treatment-resistant Depression, 1 online resource (2013).
  84. [108]Schosser A European Group for the Study of Resistant Depression (GSRD)–where have we gone so far: review of clinical and genetic findings Eur. Neuropsychopharmacol. 2012 22 453 468 10.1016/j.euroneuro.2012.02.006 22464339 · DOI
  85. [111]Nimalasuriya K Compton MT Guillory VJ Prevention Practice Committee of the American College of Preventive M. Screening adults for depression in primary care: A position statement of the American College of Preventive Medicine J. Fam. Pract. 2009 58 535 538 19874732
  86. [112]Kroenke K Spitzer RL Williams JB The Patient Health Questionnaire-2: validity of a two-item depression screener Med. Care 2003 41 1284 1292 10.1097/01.MLR.0000093487.78664.3C 14583691 · DOI · Paper page
  87. [113]Horowitz LM Ask suicide-screening questions to everyone in medical settings: the asQ’em Quality Improvement Project Psychosomatics 2013 54 239 247 10.1016/j.psym.2013.01.002 23398908 PMC3657322 · DOI
  88. [114]King M Predicting onset of major depression in general practice attendees in Europe: extending the application of the predictD risk algorithm from 12 to 24 months Psychol. Med. 2013 43 1929 1939 10.1017/S0033291712002693 23286278 · DOI
  89. [115]Kupfer DJ Frank E Perel JM The advantage of early treatment intervention in recurrent depression Arch. Gen. Psychiatry 1989 46 771 775 10.1001/archpsyc.1989.01810100087016 2774846 · DOI
  90. [116]Lopizzo N Gene-environment interaction in major depression: focus on experience-dependent biological systems Front. Psychiatry 2015 6 68 10.3389/fpsyt.2015.00068 26005424 PMC4424810 · DOI
  91. [117]Gutierrez B The risk for major depression conferred by childhood maltreatment is multiplied by BDNF and SERT genetic vulnerability: a replication study J. Psychiatry Neurosci.: JPN 2015 40 187 196 10.1503/jpn.140097 25510949 PMC4409436 · DOI
  92. [118]Serretti A The impact of adverse life events on clinical features and interaction with gene variants in mood disorder patients Psychopathology 2013 46 384 389 10.1159/000345358 23407025 · DOI
  93. [119]Herbison CE Allen K Robinson M Newnham J Pennell C The impact of life stress on adult depression and anxiety is dependent on gender and timing of exposure Dev. Psychopathol. 2017 29 1443 1454 10.1017/S0954579417000372 28397629 · DOI
  94. [120]Keers R Uher R Gene-environment interaction in major depression and antidepressant treatment response Curr. Psychiatry Rep. 2012 14 129 137 10.1007/s11920-011-0251-x 22198824 · DOI · Paper page
  95. [121]Gold PW Chrousos GP Organization of the stress system and its dysregulation in melancholic and atypical depression: high vs low CRH/NE states Mol. Psychiatry 2002 7 254 275 10.1038/sj.mp.4001032 11920153 · DOI · Paper page
  96. [122]Carroll BJ A specific laboratory test for the diagnosis of melancholia. Standardization, validation, and clinical utility Arch. Gen. Psychiatry 1981 38 15 22 10.1001/archpsyc.1981.01780260017001 7458567 · DOI · Paper page
  97. [123]Musil, R. et al. Subtypes of depression and their overlap in a naturalistic inpatient sample of major depressive disorder. Int. J. Methods Psychiatr. Res. 27 (2018). PMC6877097 29498147
  98. [124]Angst J., Gamma A., Benazzi F., Ajdacic V., Rossler W. Melancholia and atypical depression in the Zurich study: epidemiology, clinical characteristics, course, comorbidity and personality. Acta Psychiatr. Scand. Suppl. 72–84 (2007). 17280573
  99. [126]Lamers F Evidence for a differential role of HPA-axis function, inflammation and metabolic syndrome in melancholic versus atypical depression Mol. Psychiatry 2013 18 692 699 10.1038/mp.2012.144 23089630 · DOI · Paper page
  100. [127]Simmons, W. K. et al. Appetite changes reveal depression subgroups with distinct endocrine, metabolic, and immune states. Mol. Psychiatry, 10.1038/s41380-018-0093-6 (2018). PMC6292746 29899546 · DOI
  101. [128]Woody ML Gibb BE Integrating NIMH research domain criteria (RDoC) into depression Res. Curr. Opin. Psychol. 2015 4 6 12 10.1016/j.copsyc.2015.01.004 PMC4306327 25642446 · DOI
  102. [129]Ballard ED Parsing the heterogeneity of depression: An exploratory factor analysis across commonly used depression rating scales J. Affect. Disord. 2018 231 51 57 10.1016/j.jad.2018.01.027 29448238 PMC5852677 · DOI
  103. [131]Nugent AC Safety of research into severe and treatment-resistant mood disorders: analysis of outcome data from 12 years of clinical trials at the US National Institute of Mental Health Lancet Psychiatry 2016 3 436 442 10.1016/S2215-0366(16)00006-7 26971192 PMC4860062 · DOI
  104. [132]Herzog DP Guideline adherence of antidepressant treatment in outpatients with major depressive disorder: a naturalistic study Eur. Arch. Psychiatry Clin. Neurosci. 2017 267 711 721 10.1007/s00406-017-0798-6 28421334 · DOI
  105. [133]Trivedi MH Clinical results for patients with major depressive disorder in the Texas Medication Algorithm Project Arch. Gen. Psychiatry 2004 61 669 680 10.1001/archpsyc.61.7.669 15237079 · DOI
  106. [134]Adli M How effective is algorithm-guided treatment for depressed inpatients? results from the randomized controlled multicenter german algorithm project 3 trial Int J. Neuropsychopharmacol. 2017 20 721 730 10.1093/ijnp/pyx043 28645191 PMC5581493 · DOI
  107. [135]Bauer M Efficacy of an algorithm-guided treatment compared with treatment as usual: a randomized, controlled study of inpatients with depression J. Clin. Psychopharmacol. 2009 29 327 333 10.1097/JCP.0b013e3181ac4839 19593170 · DOI
  108. [136]Ricken R Algorithm-guided treatment of depression reduces treatment costs–results from the randomized controlled German Algorithm Project (GAPII) J. Affect. Disord. 2011 134 249 256 10.1016/j.jad.2011.05.053 21757237 · DOI
  109. [137]Khan A Brown WA Antidepressants versus placebo in major depression: an overview World Psychiatry 2015 14 294 300 10.1002/wps.20241 26407778 PMC4592645 · DOI
  110. [138]Fava M Evins AE Dorer DJ Schoenfeld DA The problem of the placebo response in clinical trials for psychiatric disorders: culprits, possible remedies, and a novel study design approach Psychother. Psychosom. 2003 72 115 127 10.1159/000069738 12707478 · DOI · Paper page
  111. [140]Desseilles M Massachusetts general hospital SAFER criteria for clinical trials and research Harv. Rev. Psychiatry 2013 21 269 274 10.1097/HRP.0b013e3182a75cc7 24651559 · DOI
  112. [141]Finniss DG Kaptchuk TJ Miller F Benedetti F Biological, clinical, and ethical advances of placebo effects Lancet 2010 375 686 695 10.1016/S0140-6736(09)61706-2 20171404 PMC2832199 · DOI
  113. [142]Henter ID de Sousa RT Zarate CA Jr. Glutamatergic modulators in depression Harv. Rev. Psychiatry 2018 26 307 319 29465478 PMC6102095
  114. [143]Ionescu DF Papakostas GI Current trends in identifying rapidly acting treatments for depression Curr. Behav. Neurosci. Rep. 2016 3 185 191 10.1007/s40473-016-0075-4 27574579 PMC5001565 · DOI
  115. [145]Zanos P Convergent mechanisms underlying rapid antidepressant action CNS Drugs 2018 32 197 227 10.1007/s40263-018-0492-x 29516301 PMC6005380 · DOI · Paper page
  116. [146]Li N mTOR-dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists Science 2010 329 959 964 10.1126/science.1190287 20724638 PMC3116441 · DOI · Paper page
  117. [148]Berman RM Antidepressant effects of ketamine in depressed patients Biol. Psychiatry 2000 47 351 354 10.1016/S0006-3223(99)00230-9 10686270 · DOI · Paper page
  118. [150]Diazgranados N Rapid resolution of suicidal ideation after a single infusion of an N-methyl-D-aspartate antagonist in patients with treatment-resistant major depressive disorder J. Clin. Psychiatry 2010 71 1605 1611 10.4088/JCP.09m05327blu 20673547 PMC3012738 · DOI · Paper page
  119. [151]Iadarola ND Ketamine and other N-methyl-D-aspartate receptor antagonists in the treatment of depression: a perspective review Ther. Adv. Chronic Dis. 2015 6 97 114 10.1177/2040622315579059 25954495 PMC4416968 · DOI · Paper page
  120. [152]Ibrahim L Rapid decrease in depressive symptoms with an N-methyl-d-aspartate antagonist in ECT-resistant major depression Progress. neuro-Psychopharmacol. Biol. Psychiatry 2011 35 1155 1159 10.1016/j.pnpbp.2011.03.019 PMC3100439 21466832 · DOI
  121. [154]Diazgranados N A randomized add-on trial of an N-methyl-D-aspartate antagonist in treatment-resistant bipolar depression Arch. Gen. Psychiatry 2010 67 793 802 10.1001/archgenpsychiatry.2010.90 20679587 PMC3000408 · DOI · Paper page
  122. [155]Zarate CA Replication of ketamine’s antidepressant efficacy in bipolar depression: a randomized controlled add-on trial Biol. Psychiatry 2012 71 939 946 10.1016/j.biopsych.2011.12.010 22297150 PMC3343177 · DOI · Paper page
  123. [156]aan het Rot M Safety and efficacy of repeated-dose intravenous ketamine for treatment-resistant depression Biol. Psychiatry 2010 67 139 145 10.1016/j.biopsych.2009.08.038 19897179 · DOI · Paper page
  124. [158]Murrough JW Rapid and longer-term antidepressant effects of repeated ketamine infusions in treatment-resistant major depression Biol. Psychiatry 2013 74 250 256 10.1016/j.biopsych.2012.06.022 22840761 PMC3725185 · DOI · Paper page
  125. [159]Murrough JW Ketamine for rapid reduction of suicidal ideation: a randomized controlled trial Psychol. Med. 2015 45 3571 3580 10.1017/S0033291715001506 26266877 · DOI · Paper page
  126. [161]Wilkinson ST The effect of a single dose of intravenous ketamine on suicidal ideation: a systematic review and individual participant data meta-analysis Am. J. Psychiatry 2018 175 150 158 10.1176/appi.ajp.2017.17040472 28969441 PMC5794524 · DOI · Paper page
  127. [163]Canuso CM Efficacy and safety of intranasal esketamine for the rapid reduction of symptoms of depression and suicidality in patients at imminent risk for suicide: results of a double-blind, randomized, placebo-controlled study Am. J. Psychiatry 2018 175 620 630 10.1176/appi.ajp.2018.17060720 29656663 · DOI · Paper page
  128. [164]Zanos P The prodrug 4-chlorokynurenine causes ketamine-like antidepressant effects, but not side effects, by NMDA/glycineB-site inhibition J. Pharmacol. Exp. Ther. 2015 355 76 85 10.1124/jpet.115.225664 26265321 PMC4576668 · DOI
  129. [165]Wilkinson ST Sanacora G A new generation of antidepressants: an update on the pharmaceutical pipeline for novel and rapid-acting therapeutics in mood disorders based on glutamate/GABA neurotransmitter systems Drug Discov. Today 2018 24 606 615 10.1016/j.drudis.2018.11.007 30447328 PMC6397075 · DOI · Paper page
  130. [168]Karp JF Safety, tolerability, and clinical effect of low-dose buprenorphine for treatment-resistant depression in midlife and older adults J. Clin. Psychiatry 2014 75 e785 e793 10.4088/JCP.13m08725 25191915 PMC4157317 · DOI · Paper page
  131. [170]Preskorn S Randomized proof of concept trial of GLYX-13, an N-methyl-D-aspartate receptor glycine site partial agonist, in major depressive disorder nonresponsive to a previous antidepressant agent J. Psychiatr. Pract. 2015 21 140 149 10.1097/01.pra.0000462606.17725.93 25782764 · DOI · Paper page
  132. [171]Garay RP Investigational drugs in recent clinical trials for treatment-resistant depression Expert Rev. Neurother. 2017 17 593 609 10.1080/14737175.2017.1283217 28092469 PMC5418088 · DOI
  133. [172]Kolbinger HM Hoflich G Hufnagel A Moller HJ Kasper S Transcranial magnetic stimulation (TMS) in the treatment of major depression—a pilot study Human. Psychopharmacol. 1995 10 305 310 10.1002/hup.470100408 · DOI
  134. [173]Lisanby SH Daily left prefrontal repetitive transcranial magnetic stimulation in the acute treatment of major depression: clinical predictors of outcome in a multisite, randomized controlled clinical trial Neuropsychopharmacol.: Off. Publ. Am. Coll. Neuropsychopharmacol. 2009 34 522 534 10.1038/npp.2008.118 18704101 · DOI · Paper page
  135. [174]Brunoni AR Repetitive transcranial magnetic stimulation for the acute treatment of major depressive episodes: A systematic review with network meta-analysis JAMA Psychiatry 2017 74 143 152 10.1001/jamapsychiatry.2016.3644 28030740 · DOI · Paper page
  136. [175]Benadhira R A randomized, sham-controlled study of maintenance rTMS for treatment-resistant depression (TRD) Psychiatry Res 2017 258 226 233 10.1016/j.psychres.2017.08.029 28844559 · DOI
  137. [176]Cusin C Dougherty DD Somatic therapies for treatment-resistant depression: ECT, TMS, VNS, DBS Biol. Mood Anxiety Disord. 2012 2 14 10.1186/2045-5380-2-14 22901565 PMC3514332 · DOI · Paper page
  138. [177]Blumberger DM Effectiveness of theta burst versus high-frequency repetitive transcranial magnetic stimulation in patients with depression (THREE-D): a randomised non-inferiority trial Lancet 2018 391 1683 1692 10.1016/S0140-6736(18)30295-2 29726344 · DOI · Paper page
  139. [178]Fava M Diagnosis and definition of treatment-resistant depression Biol. Psychiatry 2003 53 649 659 10.1016/S0006-3223(03)00231-2 12706951 · DOI · Paper page
  140. [179]Husain MM Speed of response and remission in major depressive disorder with acute electroconvulsive therapy (ECT): a Consortium for Research in ECT (CORE) report J. Clin. Psychiatry 2004 65 485 491 10.4088/JCP.v65n0406 15119910 · DOI
  141. [180]Kellner CH Relief of expressed suicidal intent by ECT: a consortium for research in ECT study Am. J. Psychiatry 2005 162 977 982 10.1176/appi.ajp.162.5.977 15863801 PMC3684568 · DOI
  142. [181]Slade EP Jahn DR Regenold WT Case BG Association of electroconvulsive therapy with psychiatric readmissions in US hospitals JAMA Psychiatry 2017 74 798 804 10.1001/jamapsychiatry.2017.1378 28658489 PMC5710550 · DOI · Paper page
  143. [182]Kellner CH Right unilateral ultrabrief pulse ECT in geriatric depression: phase 1 of the PRIDE study Am. J. Psychiatry 2016 173 1101 1109 10.1176/appi.ajp.2016.15081101 27418379 PMC7130447 · DOI · Paper page
  144. [183]McClintock SM Multifactorial determinants of the neurocognitive effects of electroconvulsive therapy J. ECT 2014 30 165 176 10.1097/YCT.0000000000000137 24820942 PMC4143898 · DOI
  145. [184]Fink M Taylor MA Electroconvulsive therapy: evidence and challenges JAmA 2007 298 330 332 10.1001/jama.298.3.330 17635894 · DOI
  146. [185]American Psychiatric Association. Task Force on Electroconvulsive Therapy. The practice of ECT: recommendations for treatment, training and privileging Convuls. Ther. 1990 6 85 120 11659302
  147. [187]Wilkinson ST Agbese E Leslie DL Rosenheck RA Identifying recipients of electroconvulsive therapy: data from privately insured Americans Psychiatr. Serv. 2018 69 542 548 10.1176/appi.ps.201700364 29385954 PMC6248332 · DOI
  148. [188]Lisanby SH Schlaepfer TE Fisch HU Sackeim HA Magnetic seizure therapy of major depression Arch. Gen. Psychiatry 2001 58 303 305 10.1001/archpsyc.58.3.303 11231838 · DOI
  149. [192]Nahas Z Two-year outcome of vagus nerve stimulation (VNS) for treatment of major depressive episodes J. Clin. Psychiatry 2005 66 1097 1104 10.4088/JCP.v66n0902 16187765 · DOI · Paper page
  150. [193]Aaronson ST A 5-Year observational study of patients with treatment-resistant depression treated with vagus nerve stimulation or treatment as usual: comparison of response, remission, and suicidality Am. J. Psychiatry 2017 174 640 648 10.1176/appi.ajp.2017.16010034 28359201 · DOI · Paper page
  151. [195]Bewernick BH Nucleus accumbens deep brain stimulation decreases ratings of depression and anxiety in treatment-resistant depression Biol. Psychiatry 2010 67 110 116 10.1016/j.biopsych.2009.09.013 19914605 · DOI · Paper page
  152. [197]Dougherty DD A randomized sham-controlled trial of deep brain stimulation of the ventral capsule/ventral striatum for chronic treatment-resistant depression Biol. Psychiatry 2015 78 240 248 10.1016/j.biopsych.2014.11.023 25726497 · DOI · Paper page
  153. [198]Holtzheimer PE Subcallosal cingulate deep brain stimulation for treatment-resistant depression: a multisite, randomised, sham-controlled trial Lancet Psychiatry 2017 4 839 849 10.1016/S2215-0366(17)30371-1 28988904 · DOI · Paper page
  154. [199]Widge AS Malone DA Jr. Dougherty DD Closing the loop on deep brain stimulation for treatment-resistant depression Front Neurosci. 2018 12 175 10.3389/fnins.2018.00175 29618967 PMC5871707 · DOI
  155. [200]Jain, K. K. in The Handbook of Biomarkers. 1–26 (Springer New York, New York, NY, 2017).
  156. [202]Dold M Kasper S Evidence-based pharmacotherapy of treatment-resistant unipolar depression Int J. Psychiatry Clin. Pract. 2017 21 13 23 10.1080/13651501.2016.1248852 27848269 · DOI
  157. [203]Colle R BDNF/TRKB/P75NTR polymorphisms and their consequences on antidepressant efficacy in depressed patients Pharmacogenomics 2015 16 997 1013 10.2217/pgs.15.56 26122862 · DOI

Cited by

Sorted by citations

Authors
Kraus, C., Kadriu, B., Lanzenberger, R., Zarate, C. A., & Kasper, S.
Affiliations
  • National Institutes of Health (US)
  • Medical University of Vienna (AT)
Corresponding author
Kasper, Siegfried
Venue
Translational Psychiatry
Published
2019-04-03
Volume
9
Issue
1
Pages
127-127
ISSN
2158-3188 (ISSN-L)
OpenAlex
W2934413595
Cited by
482
References
48
Citations by year
2026: 48 · 2025: 80 · 2024: 64 · 2023: 72 · 2022: 88 · 2021: 70 · 2020: 54 · 2019: 6
FWCI
7.00
Type
journal article
Language
en
Open access
Locations
  • Translational Psychiatry (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
Intramural Research Program at the National Institute of Mental Health, National Institutes of Health
Topics
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
  • Health Sciences › Medicine › Psychiatry and Mental health › Electroconvulsive Therapy Studies
Keywords
major depressive disorder, treatment outcomes, prognosis, comorbidities, biomarkers, hippocampal volume, anterior cingulate cortex, brain-derived neurotrophic factor, inflammatory markers, treatment-resistant depression, electroconvulsive therapy, transcranial magnetic stimulation, ketamine, rapid-acting antidepressants
MeSH terms
Antidepressive Agents, Depressive Disorder, Major, Major Depressive Disorder, Electroconvulsive Therapy, Humans, Psychotherapy, Randomized Controlled Trials as Topic, Treatment Outcome, Practice Guidelines as Topic, Genome-Wide Association Study, Neuroimaging

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review