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Kappelmann N, Rein M, Fietz J, Mayberg HS, Craighead WE, Dunlop BW, Nemeroff CB, Keller M, Klein DN, Arnow BA, Husain N, Jarrett RB, Vittengl JR, Menchetti M, Parker G, Barber JP, Bastos AG, Dekker J, Peen J, Keck ME, Kopf-Beck J. Psychotherapy or medication for depression? Using individual symptom meta-analyses to derive a Symptom-Oriented Therapy (SOrT) metric for a personalised psychiatry. BMC Med 2020; 18:170. [PMID: 32498707 PMCID: PMC7273646 DOI: 10.1186/s12916-020-01623-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 05/07/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Antidepressant medication (ADM) and psychotherapy are effective treatments for major depressive disorder (MDD). It is unclear, however, if treatments differ in their effectiveness at the symptom level and whether symptom information can be utilised to inform treatment allocation. The present study synthesises comparative effectiveness information from randomised controlled trials (RCTs) of ADM versus psychotherapy for MDD at the symptom level and develops and tests the Symptom-Oriented Therapy (SOrT) metric for precision treatment allocation. METHODS First, we conducted systematic review and meta-analyses of RCTs comparing ADM and psychotherapy at the individual symptom level. We searched PubMed Medline, PsycINFO, and the Cochrane Central Register of Controlled Trials databases, a database specific for psychotherapy RCTs, and looked for unpublished RCTs. Random-effects meta-analyses were applied on sum-scores and for individual symptoms for the Hamilton Rating Scale for Depression (HAM-D) and Beck Depression Inventory (BDI) measures. Second, we computed the SOrT metric, which combines meta-analytic effect sizes with patients' symptom profiles. The SOrT metric was evaluated using data from the Munich Antidepressant Response Signature (MARS) study (n = 407) and the Emory Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) study (n = 234). RESULTS The systematic review identified 38 RCTs for qualitative inclusion, 27 and 19 for quantitative inclusion at the sum-score level, and 9 and 4 for quantitative inclusion on individual symptom level for the HAM-D and BDI, respectively. Neither meta-analytic strategy revealed significant differences in the effectiveness of ADM and psychotherapy across the two depression measures. The SOrT metric did not show meaningful associations with other clinical variables in the MARS sample, and there was no indication of utility of the metric for better treatment allocation from PReDICT data. CONCLUSIONS This registered report showed no differences of ADM and psychotherapy for the treatment of MDD at sum-score and symptom levels. Symptom-based metrics such as the proposed SOrT metric do not inform allocation to these treatments, but predictive value of symptom information requires further testing for other treatment comparisons.
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Affiliation(s)
- Nils Kappelmann
- Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany.
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany.
| | - Martin Rein
- Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
| | - Julia Fietz
- Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Helen S Mayberg
- Department of Neurology and Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - W Edward Craighead
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Boadie W Dunlop
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Charles B Nemeroff
- Institute for Early Life Adversity Research, University of Texas Dell Medical School in Austin, Austin, TX, USA
| | - Martin Keller
- Department of Psychiatry and Human Behavior, Brown University School of Medicine, Providence, RI, USA
| | - Daniel N Klein
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Bruce A Arnow
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94304, USA
| | - Nusrat Husain
- Division of Psychology and Mental Health, The University of Manchester, Manchester, UK
| | - Robin B Jarrett
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Marco Menchetti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Gordon Parker
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Jacques P Barber
- Gordon F. Derner School of Psychology, Adelphi University, Garden City, New York, USA
| | - Andre G Bastos
- Contemporary Institute of Psychoanalysis and Transdisciplinarity of Porto Alegre, Porto Alegre, Brazil
| | - Jack Dekker
- Department of Research, Arkin Mental Health Care, Amsterdam, Netherlands
| | - Jaap Peen
- Department of Research, Arkin Mental Health Care, Amsterdam, Netherlands
| | - Martin E Keck
- Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
| | - Johannes Kopf-Beck
- Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
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Cuijpers P, Noma H, Karyotaki E, Vinkers CH, Cipriani A, Furukawa TA. A network meta-analysis of the effects of psychotherapies, pharmacotherapies and their combination in the treatment of adult depression. World Psychiatry 2020; 19:92-107. [PMID: 31922679 PMCID: PMC6953550 DOI: 10.1002/wps.20701] [Citation(s) in RCA: 196] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
No network meta-analysis has examined the relative effects of psychotherapies, pharmacotherapies and their combination in the treatment of adult depression, while this is a very important clinical issue. We conducted systematic searches in bibliographical databases to identify randomized trials in which a psychotherapy and a pharmacotherapy for the acute or long-term treatment of depression were compared with each other, or in which the combination of a psychotherapy and a pharmacotherapy was compared with either one alone. The main outcome was treatment response (50% improvement between baseline and endpoint). Remission and acceptability (defined as study drop-out for any reason) were also examined. Possible moderators that were assessed included chronic and treatment-resistant depression and baseline severity of depression. Data were pooled as relative risk (RR) using a random-effects model. A total of 101 studies with 11,910 patients were included. Depression in most studies was moderate to severe. In the network meta-analysis, combined treatment was more effective than psychotherapy alone (RR=1.27; 95% CI: 1.14-1.39) and pharmacotherapy alone (RR=1.25; 95% CI: 1.14-1.37) in achieving response at the end of treatment. No significant difference was found between psychotherapy alone and pharmacotherapy alone (RR=0.99; 95% CI: 0.92-1.08). Similar results were found for remission. Combined treatment (RR=1.23; 95% CI: 1.05-1.45) and psychotherapy alone (RR=1.17; 95% CI: 1.02-1.32) were more acceptable than pharmacotherapy. Results were similar for chronic and treatment-resistant depression. The combination of psychotherapy and pharmacotherapy seems to be the best choice for patients with moderate depression. More research is needed on long-term effects of treatments (including cost-effectiveness), on the impact of specific pharmacological and non-pharmacological approaches, and on the effects in specific populations of patients.
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Affiliation(s)
- Pim Cuijpers
- Department of Clinical, Neuro and Developmental PsychologyAmsterdam Public Health Research Institute, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Hisashi Noma
- Department of Data ScienceInstitute of Statistical MathematicsTokyoJapan
| | - Eirini Karyotaki
- Department of Clinical, Neuro and Developmental PsychologyAmsterdam Public Health Research Institute, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Christiaan H. Vinkers
- Department of PsychiatryAmsterdam UMC (location VUmc)AmsterdamThe Netherlands,Department of Anatomy and NeurosciencesAmsterdam UMC (location VUmc)AmsterdamThe Netherlands
| | - Andrea Cipriani
- Department of Psychiatry Warneford Hospital, University of OxfordOxfordUK,Oxford Health NHS Foundation Trust, Warneford HospitalOxfordUK
| | - Toshi A. Furukawa
- Department of Health Promotion and Human BehaviorKyoto University Graduate School of Medicine, School of Public HealthKyotoJapan
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Boschloo L, Bekhuis E, Weitz ES, Reijnders M, DeRubeis RJ, Dimidjian S, Dunner DL, Dunlop BW, Hegerl U, Hollon SD, Jarrett RB, Kennedy SH, Miranda J, Mohr D, Simons AD, Parker G, Petrak F, Herpertz S, Quilty LC, John Rush A, Segal ZV, Vittengl JR, Schoevers RA, Cuijpers P. The symptom-specific efficacy of antidepressant medication vs. cognitive behavioral therapy in the treatment of depression: results from an individual patient data meta-analysis. World Psychiatry 2019; 18:183-191. [PMID: 31059603 PMCID: PMC6502416 DOI: 10.1002/wps.20630] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
A recent individual patient data meta-analysis showed that antidepressant medication is slightly more efficacious than cognitive behavioral therapy (CBT) in reducing overall depression severity in patients with a DSM-defined depressive disorder. We used an update of that dataset, based on seventeen randomized clinical trials, to examine the comparative efficacy of antidepressant medication vs. CBT in more detail by focusing on individual depressive symptoms as assessed with the 17-item Hamilton Rating Scale for Depression. Five symptoms (i.e., "depressed mood" , "feelings of guilt" , "suicidal thoughts" , "psychic anxiety" and "general somatic symptoms") showed larger improvements in the medication compared to the CBT condition (effect sizes ranging from .13 to .16), whereas no differences were found for the twelve other symptoms. In addition, network estimation techniques revealed that all effects, except that on "depressed mood" , were direct and could not be explained by any of the other direct or indirect treatment effects. Exploratory analyses showed that information about the symptom-specific efficacy could help in identifying those patients who, based on their pre-treatment symptomatology, are likely to benefit more from antidepressant medication than from CBT (effect size of .30) versus those for whom both treatments are likely to be equally efficacious. Overall, our symptom-oriented approach results in a more thorough evaluation of the efficacy of antidepressant medication over CBT and shows potential in "precision psychiatry" .
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Affiliation(s)
- Lynn Boschloo
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research InstituteVrije Universiteit AmsterdamAmsterdamThe Netherlands,Department of Psychiatry and Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE)University of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Ella Bekhuis
- Department of Psychiatry and Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE)University of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Erica S. Weitz
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research InstituteVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Mirjam Reijnders
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research InstituteVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | | | - Sona Dimidjian
- Department of Psychology and NeuroscienceUniversity of ColoradoBoulderCOUSA
| | - David L. Dunner
- Center for Anxiety and Depression, Mercer IslandWashingtonWAUSA
| | - Boadie W. Dunlop
- Department of Psychiatry and Behavioral SciencesEmory University School of MedicineAtlantaGAUSA
| | - Ulrich Hegerl
- Department of Psychiatry and PsychotherapyUniversity of LeipzigLeipzigGermany
| | | | - Robin B. Jarrett
- Department of PsychiatryUniversity of Texas Southwestern Medical CenterDallasTXUSA
| | | | - Jeanne Miranda
- Health Services Research Center, Neuropsychiatric InstituteUniversity of CaliforniaLos AngelesCAUSA
| | - David C. Mohr
- Center for Behavioral Intervention Technologies, Feinberg School of MedicineNorthwestern UniversityChicagoILUSA
| | - Anne D. Simons
- Department of PsychologyUniversity of Notre DameNotre DameINUSA
| | - Gordon Parker
- School of PsychiatryUniversity of New South WalesSydneyNSWAustralia
| | - Frank Petrak
- Department of Psychosomatic Medicine and PsychotherapyLWL‐University Clinic Bochum, Ruhr University BochumBochumGermany
| | - Stephan Herpertz
- Department of Psychosomatic Medicine and PsychotherapyLWL‐University Clinic Bochum, Ruhr University BochumBochumGermany
| | - Lena C. Quilty
- Department of PsychiatryUniversity of TorontoTorontoONCanada,Campbell Family Mental Health Research InstituteCentre for Addiction and Mental HealthTorontoONCanada
| | - A. John Rush
- Duke‐National University of Singapore Graduate Medical SchoolSingapore,Department of PsychiatryDuke Medical SchoolDurham, NCUSA,Texas Tech University Health Sciences CenterPermian BasinTXUSA
| | - Zindel V. Segal
- Department of PsychologyUniversity of Toronto ScarboroughTorontoONCanada
| | | | - Robert A. Schoevers
- Department of Psychiatry and Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE)University of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research InstituteVrije Universiteit AmsterdamAmsterdamThe Netherlands
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Groves SJ, Douglas KM, Porter RJ. A Systematic Review of Cognitive Predictors of Treatment Outcome in Major Depression. Front Psychiatry 2018; 9:382. [PMID: 30210368 PMCID: PMC6121150 DOI: 10.3389/fpsyt.2018.00382] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 07/30/2018] [Indexed: 12/28/2022] Open
Abstract
Background: Research suggests that only 50% of patients with major depression respond to psychotherapy or pharmacological treatment, and relapse is common. Therefore, there is interest in elucidating factors that help predict clinical response. Cognitive impairment is a key feature of depression, which often persists beyond remission; thus, the aim of this systematic review was to determine whether baseline cognitive functioning can predict treatment outcomes in individuals with depression. Method: Studies examining cognitive predictors of treatment response in depression were identified using Pub Med and Web of Science databases. Given the heterogeneity of outcome measures, the variety of treatment protocols, and the differing ways in which data was presented and analyzed, a narrative rather than meta-analytic review technique was used. Results: 39 studies met inclusion criteria. Findings in younger adult samples were inconclusive. There was some evidence for a predictive effect of executive function and to a lesser extent, psychomotor speed, on treatment response. There was no evidence of learning or memory being associated with treatment response. In older-aged samples, the evidence was much more consistent, suggesting that poor executive function predicts poor response to SSRIs. Conclusions: Findings from the present review suggest that certain aspects of cognitive functioning, particularly executive function, may be useful in predicting treatment response in depression. This is certainly the case in elderly samples, with evidence suggesting that poor executive functioning predicts poor response to SSRIs. With further research, baseline cognitive functioning may serve as a factor which helps guide clinical decision making. Moreover, cognitive deficits may become targets for specific pharmacological or psychological treatments, with the hope of improving overall outcome.
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Affiliation(s)
- Samantha J Groves
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Katie M Douglas
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Richard J Porter
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand.,Specialist Mental Health Services, Canterbury District Health Board, Christchurch, New Zealand
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Hofmann SG, Curtiss J, Carpenter JK, Kind S. Effect of treatments for depression on quality of life: a meta-analysis. Cogn Behav Ther 2017; 46:265-286. [PMID: 28440699 DOI: 10.1080/16506073.2017.1304445] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Cognitive-behavioral therapy (CBT) and selective serotonin reuptake inhibitors (SSRIs) are the two first-line treatments for depression, but little is known about their effects on quality of life (QOL). A meta-analysis was conducted to examine changes in QOL in adults with major depressive disorder who received CBT (24 studies examining 1969 patients) or SSRI treatment (13 studies examining 4286 patients) for their depression. Moderate improvements in QOL from pre to post-treatment were observed in both CBT (Hedges' g = .63) and SSRI (Hedges' g = .79) treatments. The effect size remained stable over the course of the follow-up period for CBT. No data were available to examine follow-ups in the SSRI group. QOL effect sizes decreased linearly with publication year, and greater improvements in depression were significantly associated with greater improvements in QOL for CBT, but not for SSRIs. CBT and SSRIs for depression were both associated with moderate improvements in QOL, but are possibly caused by different mechanisms.
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Affiliation(s)
- Stefan G Hofmann
- a Department of Psychological and Brain Sciences , Boston University , 648 Beacon Street, 6th Floor, Boston , MA 02215 , USA
| | - Joshua Curtiss
- a Department of Psychological and Brain Sciences , Boston University , 648 Beacon Street, 6th Floor, Boston , MA 02215 , USA
| | - Joseph K Carpenter
- a Department of Psychological and Brain Sciences , Boston University , 648 Beacon Street, 6th Floor, Boston , MA 02215 , USA
| | - Shelley Kind
- a Department of Psychological and Brain Sciences , Boston University , 648 Beacon Street, 6th Floor, Boston , MA 02215 , USA.,b Psychology Department , Suffolk University , 73 Tremont Street, 8th Floor, Boston , MA 02108 , USA
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Hyett MP, Parker GB, Guo CC, Zalesky A, Nguyen VT, Yuen T, Breakspear M. Scene unseen: Disrupted neuronal adaptation in melancholia during emotional film viewing. NEUROIMAGE-CLINICAL 2015; 9:660-7. [PMID: 26740919 PMCID: PMC4660155 DOI: 10.1016/j.nicl.2015.10.011] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Revised: 10/19/2015] [Accepted: 10/22/2015] [Indexed: 10/26/2022]
Abstract
Impairments in attention and concentration are distinctive features of melancholic depression, and may diminish the ability to shift focus away from internal dysphoric states. Disrupted brain networks may underlie the inability to effectively disengage from interoceptive signals in this disorder. This study investigates changes in effective connectivity between cortical systems supporting attention, interoception, and perception in those with melancholic depression when shifting attention from rest to viewing dynamic film stimuli. We hypothesised that those with melancholia would show impaired attentional shifting from rest to emotional film viewing, captured in neuronal states that differed little across conditions. Functional magnetic resonance imaging (fMRI) data were acquired from 48 participants (16 melancholic depressed, 16 non-melancholic depressed, and 16 healthy controls) at rest and whilst viewing emotionally salient movies. Using independent component analysis, we identified 8 cortical modes (default mode, executive control, left/right frontoparietal attention, left/right insula, visual and auditory) and studied their dynamics using dynamic causal modelling. Engagement with dynamic emotional material diminished in melancholia and was associated with network-wide increases in effective connectivity. Melancholia was also characterised by an increase in effective connectivity amongst cortical regions involved in attention and interoception when shifting from rest to negative film viewing, with the converse pattern in control participants. The observed involvement of attention- and insula-based cortical systems highlights a potential neurobiological mechanism for disrupted attentional resource allocation, particularly in switching between interoceptive and exteroceptive signals, in melancholia.
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Affiliation(s)
- Matthew P Hyett
- School of Psychiatry, University of New South Wales, Black Dog Institute Building, Prince of Wales Hospital, Hospital Road, Randwick, NSW 2031, Australia; QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia
| | - Gordon B Parker
- School of Psychiatry, University of New South Wales, Black Dog Institute Building, Prince of Wales Hospital, Hospital Road, Randwick, NSW 2031, Australia; Black Dog Institute, Prince of Wales Hospital, Hospital Road, Randwick, NSW 2031, Australia
| | - Christine C Guo
- QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Faculty of Medicine, Dentistry and Health Science & Melbourne School of Engineering, University of Melbourne, VIC 3010, Australia
| | - Vinh T Nguyen
- QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia
| | - Tamara Yuen
- School of Psychiatry, University of New South Wales, Black Dog Institute Building, Prince of Wales Hospital, Hospital Road, Randwick, NSW 2031, Australia; Black Dog Institute, Prince of Wales Hospital, Hospital Road, Randwick, NSW 2031, Australia
| | - Michael Breakspear
- QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia; The Royal Brisbane and Women's Hospital, Butterfield Street, Herston, QLD 4006, Australia
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Parker G. Off label CBT: a promising therapy or an adjunctive pluralistic therapeutic ingredient? World Psychiatry 2014; 13:251-2. [PMID: 25273291 PMCID: PMC4219059 DOI: 10.1002/wps.20158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Gordon Parker
- School of Psychiatry, University of New South Wales, and Black Dog Institute, Prince of Wales Hospital; Randwick 2031 NSW Australia
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