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Dugan C, Peeling P, Burden R, Richards T. Efficacy of iron supplementation on physical capacity in non-anaemic iron-deficient individuals: protocol for an individual patient data meta-analysis. Syst Rev 2024; 13:182. [PMID: 39010146 PMCID: PMC11247796 DOI: 10.1186/s13643-024-02559-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 05/13/2024] [Indexed: 07/17/2024] Open
Abstract
BACKGROUND A deficiency in iron stores is associated with various adverse health complications, which, if left untreated, can progress to states of anaemia, whereby there is significant detriment to an individual's work capacity and quality of life due to compromised erythropoiesis. The most common methods employed to treat an iron deficiency include oral iron supplementation and, in persistent and/or unresponsive cases, intravenous iron therapy. The efficacy of these treatments, particularly in states of iron deficiency without anaemia, is equivocal. Indeed, both randomised control trials and aggregate data meta-analyses have produced conflicting evidence. Therefore, this study aims to assess the efficacy of both oral and intravenous iron supplementation on physical capacity, quality of life, and fatigue scores in iron-deficient non-anaemic individuals using individual patient data (IPD) meta-analysis techniques. METHODS All potential studies, irrespective of design, will be sourced through systematic searches on the following databases: Cochrane Central Register of Controlled Trials, MEDLINE Ovid, Embase Ovid, Web of Science: Science Citation Index Expanded, Web of Science: Conference Proceedings Citation Index-Science, ClinicalTrials.gov, and World Health Organization (WHO) International Clinical Trials Registry Platform. Individual patient data from all available trials will be included and subsequently analysed in a two-stage approach. Predetermined subgroup and sensitivity analyses will be employed to further explain results. DISCUSSION The significance of this IPD meta-analysis is one of consolidating a clear consensus to better inform iron-deficient individuals of the physiological response associated with iron supplementation. The IPD approach, to the best of our knowledge, is novel for this research topic. As such, the findings will significantly contribute to the current body of evidence. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42020191739.
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Affiliation(s)
- Cory Dugan
- School of Human Sciences, University of Western Australia, Perth, Australia.
| | - Peter Peeling
- School of Human Sciences, University of Western Australia, Perth, Australia
| | - Richard Burden
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Toby Richards
- Division of Surgery, University of Western Australia, Perth, Australia
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Birch JM, Mueller J, Sharp S, Logue J, Kelly MP, Griffin SJ, Ahern A. Are there inequalities in the attendance and effectiveness of behavioural weight management interventions for adults in the UK? Protocol for an individual participant data (IPD) meta-analysis. BMJ Open 2023; 13:e067607. [PMID: 36958788 PMCID: PMC10039995 DOI: 10.1136/bmjopen-2022-067607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/25/2023] Open
Abstract
INTRODUCTION It is important to identify whether behavioural weight management interventions work well across different groups in the population so health inequalities in obesity are not widened. Previous systematic reviews of inequalities in the attendance and effectiveness of behavioural weight management interventions have been limited because few trials report relevant analyses and heterogeneity in the categorisation of inequality characteristics prevents meta-analysis. An individual participant data meta-analysis (IPD-MA) allows us to reanalyse all trials with available data in a uniform way. We aim to conduct an IPD meta-analysis of UK randomised controlled trials to examine whether there are inequalities in the attendance and effectiveness of behavioural weight interventions. METHODS AND ANALYSIS In a recently published systematic review, we identified 17 UK-based randomised controlled trials of primary care-relevant behavioural interventions, conducted in adults living with overweight or obesity and reporting weight outcomes at baseline and 1-year follow-up. The corresponding author of each trial will be invited to contribute data to the IPD-MA. The outcomes of interest are weight at 12-months and intervention attendance (number of sessions offered vs number of sessions attended). We will primarily consider whether there is an interaction between intervention group and characteristics where inequalities occur, such as by gender/sex, socioeconomic status or age. The IPD-MA will be conducted in line with the Preferred Reporting Items for Systematic Reviews and Meta-analyses of IPD guidelines. ETHICS AND DISSEMINATION No further ethical approval was required as ethical approval for each individual study was obtained by the original trial investigators from appropriate ethics committees. The completed IPD-MA will be disseminated at conferences, in a peer-reviewed journal and contribute to the lead author's PhD thesis. Investigators of each individual study included in the final IPD-MA will be invited to collaborate on any publications that arise from the project.
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Affiliation(s)
- Jack M Birch
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Julia Mueller
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Stephen Sharp
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Jennifer Logue
- Lancaster Medical School, Lancaster University, Lancaster, UK
| | - Michael P Kelly
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Simon J Griffin
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Amy Ahern
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
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Driessen E, Cohen ZD, Lorenzo-Luaces L, Hollon SD, Richards DA, Dobson KS, Dimidjian S, Delgadillo J, Vázquez FL, McNamara K, Horan JJ, Gardner P, Oei TP, Mehta AHP, Twisk JWR, Cristea IA, Cuijpers P. Efficacy and moderators of cognitive therapy versus behavioural activation for adults with depression: study protocol of a systematic review and meta-analysis of individual participant data. BJPsych Open 2022; 8:e154. [PMID: 35946068 PMCID: PMC9379999 DOI: 10.1192/bjo.2022.560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Cognitive therapy and behavioural activation are both widely applied and effective psychotherapies for depression, but it is unclear which works best for whom. Individual participant data (IPD) meta-analysis allows for examining moderators at the participant level and can provide more precise effect estimates than conventional meta-analysis, which is based on study-level data. AIMS This article describes the protocol for a systematic review and IPD meta-analysis that aims to compare the efficacy of cognitive therapy and behavioural activation for adults with depression, and to explore moderators of treatment effect. (PROSPERO: CRD42022341602). METHOD Systematic literature searches will be conducted in PubMed, PsycINFO, EMBASE and the Cochrane Library, to identify randomised clinical trials comparing cognitive therapy and behavioural activation for adult acute-phase depression. Investigators of these trials will be invited to share their participant-level data. One-stage IPD meta-analyses will be conducted with mixed-effects models to assess treatment effects and to examine various available demographic, clinical and psychological participant characteristics as potential moderators. The primary outcome measure will be depressive symptom level at treatment completion. Secondary outcomes will include post-treatment anxiety, interpersonal functioning and quality of life, as well as follow-up outcomes. CONCLUSIONS To the best of our knowledge, this will be the first IPD meta-analysis concerning cognitive therapy versus behavioural activation for adult depression. This study has the potential to enhance our knowledge of depression treatment by using state-of-the-art statistical techniques to compare the efficacy of two widely used psychotherapies, and by shedding more light on which of these treatments might work best for whom.
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Affiliation(s)
- Ellen Driessen
- Department of Clinical Psychology, Behavioural Science Institute, Radboud University, The Netherlands; and Depression Expertise Center, Pro Persona Mental Health Care, The Netherlands
| | - Zachary D Cohen
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, USA
| | | | | | - David A Richards
- Department of Health and Community Science, Faculty of Health and Life Sciences, University of Exeter, UK; and Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Norway
| | | | - Sona Dimidjian
- Crown Institute and Department of Psychology and Neuroscience, University of Colorado Boulder, USA
| | - Jaime Delgadillo
- Clinical and Applied Psychology Unit, University of Sheffield, UK
| | - Fernando L Vázquez
- Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, Spain
| | | | - John J Horan
- Counseling Psychology Program, Arizona State University, USA
| | - Pauline Gardner
- Caulfield Pain Management and Research Centre, Caulfield Hospital, Australia
| | - Tian P Oei
- School of Psychology, The University of Queensland, Australia
| | - Anuj H P Mehta
- Department of Psychology, University of Toronto Scarborough, Canada
| | - Jos W R Twisk
- Department of Epidemiology and Biostatistics, Amsterdam University Medical Centers, The Netherlands
| | - Ioana A Cristea
- Department of Brain and Behavioral Sciences, University of Pavia; and IRCCS Mondino Foundation, Italy
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, The Netherlands
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Murgan N, Harrison B. Interesting presentation of postnatal depression and infant failure to thrive. BMJ Case Rep 2022; 15:e249205. [PMID: 35487627 PMCID: PMC9058715 DOI: 10.1136/bcr-2022-249205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/03/2022] [Indexed: 11/03/2022] Open
Abstract
This case report is of a woman in her 30s, 10 months post partum who was referred to Mother Baby Unit at a tertiary hospital with depressive symptoms including lowered mood, reduced self-care and motivation despite initiation of escitalopram 3 months earlier. In addition, her infant had non-organic failure to thrive mediated by decreased feeding and non-initiation of solids. On admission, her cognitive difficulties, blurred vision and reported loss of smell led to further neurological assessment and investigation with an MRI. Diagnosis of a frontal meningioma was made on the basis of the MRI finding of a 7 cm meningioma in the anterior cranial fossa. Surgical removal was successful which led to resolution of her depressive symptoms and improved parenting functioning. This case highlights the importance of considering organic causes of depression and non-organic causes of failure to thrive in infants.
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Affiliation(s)
- Nevani Murgan
- Mother Baby Unit, King Edward Memorial Hospital for Women, Perth, Western Australia, Australia
| | - Beate Harrison
- Mother Baby Unit, King Edward Memorial Hospital for Women, Perth, Western Australia, Australia
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Buckman JEJ, Saunders R, Stott J, Arundell LL, O'Driscoll C, Davies MR, Eley TC, Hollon SD, Kendrick T, Ambler G, Cohen ZD, Watkins E, Gilbody S, Wiles N, Kessler D, Richards D, Brabyn S, Littlewood E, DeRubeis RJ, Lewis G, Pilling S. Role of age, gender and marital status in prognosis for adults with depression: An individual patient data meta-analysis. Epidemiol Psychiatr Sci 2021; 30:e42. [PMID: 34085616 PMCID: PMC7610920 DOI: 10.1017/s2045796021000342] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 05/04/2021] [Accepted: 05/09/2021] [Indexed: 11/21/2022] Open
Abstract
AIMS To determine whether age, gender and marital status are associated with prognosis for adults with depression who sought treatment in primary care. METHODS Medline, Embase, PsycINFO and Cochrane Central were searched from inception to 1st December 2020 for randomised controlled trials (RCTs) of adults seeking treatment for depression from their general practitioners, that used the Revised Clinical Interview Schedule so that there was uniformity in the measurement of clinical prognostic factors, and that reported on age, gender and marital status. Individual participant data were gathered from all nine eligible RCTs (N = 4864). Two-stage random-effects meta-analyses were conducted to ascertain the independent association between: (i) age, (ii) gender and (iii) marital status, and depressive symptoms at 3-4, 6-8, and 9-12 months post-baseline and remission at 3-4 months. Risk of bias was evaluated using QUIPS and quality was assessed using GRADE. PROSPERO registration: CRD42019129512. Pre-registered protocol https://osf.io/e5zup/. RESULTS There was no evidence of an association between age and prognosis before or after adjusting for depressive 'disorder characteristics' that are associated with prognosis (symptom severity, durations of depression and anxiety, comorbid panic disorderand a history of antidepressant treatment). Difference in mean depressive symptom score at 3-4 months post-baseline per-5-year increase in age = 0(95% CI: -0.02 to 0.02). There was no evidence for a difference in prognoses for men and women at 3-4 months or 9-12 months post-baseline, but men had worse prognoses at 6-8 months (percentage difference in depressive symptoms for men compared to women: 15.08% (95% CI: 4.82 to 26.35)). However, this was largely driven by a single study that contributed data at 6-8 months and not the other time points. Further, there was little evidence for an association after adjusting for depressive 'disorder characteristics' and employment status (12.23% (-1.69 to 28.12)). Participants that were either single (percentage difference in depressive symptoms for single participants: 9.25% (95% CI: 2.78 to 16.13) or no longer married (8.02% (95% CI: 1.31 to 15.18)) had worse prognoses than those that were married, even after adjusting for depressive 'disorder characteristics' and all available confounders. CONCLUSION Clinicians and researchers will continue to routinely record age and gender, but despite their importance for incidence and prevalence of depression, they appear to offer little information regarding prognosis. Patients that are single or no longer married may be expected to have slightly worse prognoses than those that are married. Ensuring this is recorded routinely alongside depressive 'disorder characteristics' in clinic may be important.
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Affiliation(s)
- J. E. J. Buckman
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, LondonWC1E 7HB, UK
- iCope – Camden & Islington NHS Foundation Trust, St Pancras Hospital, LondonNW1 0PE, UK
| | - R. Saunders
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, LondonWC1E 7HB, UK
| | - J. Stott
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, LondonWC1E 7HB, UK
| | - L.-L. Arundell
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, LondonWC1E 7HB, UK
| | - C. O'Driscoll
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, LondonWC1E 7HB, UK
| | - M. R. Davies
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, LondonSE5 8AF, UK
| | - T. C. Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, LondonSE5 8AF, UK
| | - S. D. Hollon
- Department of Psychology, Vanderbilt University, Nashville, TN37240, USA
| | - T. Kendrick
- Faculty of Medicine, Primary Care, Population Sciences and Medical Education, University of Southampton, SouthamptonSO16 5ST, UK
| | - G. Ambler
- Statistical Science, University College London, LondonWC1E 7HB, UK
| | - Z. D. Cohen
- Department of Psychiatry, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - E. Watkins
- Department of Psychology, University of Exeter, ExeterEX4 4QG, UK
| | - S. Gilbody
- Department of Health Sciences, University of York, YorkYO10 5DD, UK
| | - N. Wiles
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, BristolBS8 2BN, UK
| | - D. Kessler
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, Bristol, UK
| | - D. Richards
- Institute of Health Research, University of Exeter College of Medicine and Health, ExeterEX1 2LU, UK
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, 5063Bergen, Norway
| | - S. Brabyn
- Department of Health Sciences, University of York, YorkYO10 5DD, UK
| | - E. Littlewood
- Department of Health Sciences, University of York, YorkYO10 5DD, UK
| | - R. J. DeRubeis
- Department of Psychology, School of Arts and Sciences, 425 S. University Avenue, PhiladelphiaPA, 19104-60185, USA
| | - G. Lewis
- Division of Psychiatry, University College London, LondonW1T 7NF, UK
| | - S. Pilling
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, LondonWC1E 7HB, UK
- Camden & Islington NHS Foundation Trust, 4 St Pancras Way, LondonNW1 0PE, UK
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Buckman JEJ, Saunders R, Cohen ZD, Barnett P, Clarke K, Ambler G, DeRubeis RJ, Gilbody S, Hollon SD, Kendrick T, Watkins E, Wiles N, Kessler D, Richards D, Sharp D, Brabyn S, Littlewood E, Salisbury C, White IR, Lewis G, Pilling S. The contribution of depressive 'disorder characteristics' to determinations of prognosis for adults with depression: an individual patient data meta-analysis. Psychol Med 2021; 51:1068-1081. [PMID: 33849685 PMCID: PMC8188529 DOI: 10.1017/s0033291721001367] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 03/08/2021] [Accepted: 03/26/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND This study aimed to investigate general factors associated with prognosis regardless of the type of treatment received, for adults with depression in primary care. METHODS We searched Medline, Embase, PsycINFO and Cochrane Central (inception to 12/01/2020) for RCTs that included the most commonly used comprehensive measure of depressive and anxiety disorder symptoms and diagnoses, in primary care depression RCTs (the Revised Clinical Interview Schedule: CIS-R). Two-stage random-effects meta-analyses were conducted. RESULTS Twelve (n = 6024) of thirteen eligible studies (n = 6175) provided individual patient data. There was a 31% (95%CI: 25 to 37) difference in depressive symptoms at 3-4 months per standard deviation increase in baseline depressive symptoms. Four additional factors: the duration of anxiety; duration of depression; comorbid panic disorder; and a history of antidepressant treatment were also independently associated with poorer prognosis. There was evidence that the difference in prognosis when these factors were combined could be of clinical importance. Adding these variables improved the amount of variance explained in 3-4 month depressive symptoms from 16% using depressive symptom severity alone to 27%. Risk of bias (assessed with QUIPS) was low in all studies and quality (assessed with GRADE) was high. Sensitivity analyses did not alter our conclusions. CONCLUSIONS When adults seek treatment for depression clinicians should routinely assess for the duration of anxiety, duration of depression, comorbid panic disorder, and a history of antidepressant treatment alongside depressive symptom severity. This could provide clinicians and patients with useful and desired information to elucidate prognosis and aid the clinical management of depression.
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Affiliation(s)
- Joshua E. J. Buckman
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, LondonWC1E 7HB, UK
- iCope – Camden and Islington Psychological Therapies Services, Camden & Islington NHS Foundation Trust, 4 St Pancras Way, LondonNW1 0PE, UK
| | - Rob Saunders
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, LondonWC1E 7HB, UK
| | - Zachary D. Cohen
- Department of Psychiatry, University of California, Los Angeles, Los Angeles, CA90095, USA
| | - Phoebe Barnett
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, LondonWC1E 7HB, UK
| | - Katherine Clarke
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, LondonWC1E 7HB, UK
| | - Gareth Ambler
- Statistical Science, University College London, LondonWC1E 7HB, UK
| | - Robert J. DeRubeis
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA19104-60185, USA
| | - Simon Gilbody
- Department of Health Sciences, University of York, YorkYO10 5DD, UK
| | - Steven D. Hollon
- Department of Psychology, Vanderbilt University, Nashville, TN37240, USA
| | - Tony Kendrick
- Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, SouthamptonSO16 5ST, UK
| | - Edward Watkins
- Department of Psychology, University of Exeter, ExeterEX4 4QG, UK
| | - Nicola Wiles
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, BristolBS8 2BN, UK
| | - David Kessler
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, Bristol, UK
| | - David Richards
- Institute of Health Research, University of Exeter College of Medicine and Health, ExeterEX1 2LU, UK
| | - Deborah Sharp
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, Bristol, UK
| | - Sally Brabyn
- Department of Health Sciences, University of York, YorkYO10 5DD, UK
| | | | - Chris Salisbury
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, Bristol, UK
| | - Ian R. White
- MRC Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, LondonWC1V 6LJ, UK
| | - Glyn Lewis
- Division of Psychiatry, University College London, LondonW1T 7NF, UK
| | - Stephen Pilling
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, LondonWC1E 7HB, UK
- Camden & Islington NHS Foundation Trust, 4 St Pancras Way, LondonNW1 0PE, UK
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7
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Driessen E, Cohen ZD, Weissman MM, Markowitz JC, Weitz ES, Hollon SD, Browne DT, Rucci P, Corda C, Menchetti M, Bagby RM, Quilty LC, O'Hara MW, Zlotnick C, Pearlstein T, Blom MBJ, Altamura M, Gois C, Schneider LS, Twisk JWR, Cuijpers P. The efficacy of antidepressant medication and interpersonal psychotherapy for adult acute-phase depression: study protocol of a systematic review and meta-analysis of individual participant data. BJPsych Open 2021; 7:e56. [PMID: 33602371 PMCID: PMC8058821 DOI: 10.1192/bjo.2021.4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Antidepressant medication and interpersonal psychotherapy (IPT) are both recommended interventions in depression treatment guidelines based on literature reviews and meta-analyses. However, 'conventional' meta-analyses comparing their efficacy are limited by their reliance on reported study-level information and a narrow focus on depression outcome measures assessed at treatment completion. Individual participant data (IPD) meta-analysis, considered the gold standard in evidence synthesis, can improve the quality of the analyses when compared with conventional meta-analysis. AIMS We describe the protocol for a systematic review and IPD meta-analysis comparing the efficacy of antidepressants and IPT for adult acute-phase depression across a range of outcome measures, including depressive symptom severity as well as functioning and well-being, at both post-treatment and follow-up (PROSPERO: CRD42020219891). METHOD We will conduct a systematic literature search in PubMed, PsycINFO, Embase and the Cochrane Library to identify randomised clinical trials comparing antidepressants and IPT in the acute-phase treatment of adults with depression. We will invite the authors of these studies to share the participant-level data of their trials. One-stage IPD meta-analyses will be conducted using mixed-effects models to assess treatment effects at post-treatment and follow-up for all outcome measures that are assessed in at least two studies. CONCLUSIONS This will be the first IPD meta-analysis examining antidepressants versus IPT efficacy. This study has the potential to enhance our knowledge of depression treatment by comparing the short- and long-term effects of two widely used interventions across a range of outcome measures using state-of-the-art statistical techniques.
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Affiliation(s)
- Ellen Driessen
- Department of Clinical Psychology, Behavioural Science Institute, Radboud University, the Netherlands; and Depression Expertise Center, Pro Persona Mental Health Care, the Netherlands
| | - Zachary D Cohen
- Department of Psychiatry, University of California Los Angeles, USA
| | - Myrna M Weissman
- Columbia University Vagelos College of Physicians & Surgeons, New York State Psychiatric Institute, USA
| | - John C Markowitz
- Columbia University Vagelos College of Physicians & Surgeons, New York State Psychiatric Institute, USA
| | - Erica S Weitz
- Department of Psychology, University of Pennsylvania, USA
| | | | | | - Paola Rucci
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy
| | - Carolina Corda
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Italy
| | - Marco Menchetti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy
| | - R Michael Bagby
- Departments of Psychology and Psychiatry, and Graduate Department of Psychological Clinical Science, University of Toronto Scarborough, Canada
| | - Lena C Quilty
- Department of Psychiatry, University of Toronto, Canada
| | - Michael W O'Hara
- Department of Psychological and Brain Sciences, University of Iowa, USA
| | - Caron Zlotnick
- Departments of Psychiatry and Human Behavior, Medicine, and Obstetrics and Gynecology, Brown University, USA; and Butler Hospital, USA
| | | | | | - Mario Altamura
- Department of Clinical and Experimental Medicine, University of Foggia, Italy
| | - Carlos Gois
- Department of Psychiatry, University of Lisbon, Portugal
| | - Lon S Schneider
- Department of Psychiatry and Neuroscience, Keck School of Medicine of USC, USA
| | - Jos W R Twisk
- Department of Epidemiology and Biostatistics, Amsterdam University Medical Centers, the Netherlands
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, the Netherlands
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8
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Hu MX, Palantza C, Setkowski K, Gilissen R, Karyotaki E, Cuijpers P, Riper H, de Beurs D, Nuij C, Christensen H, Calear A, Werner-Seidler A, Hoogendoorn A, van Balkom A, Eikelenboom M, Smit J, van Ballegooijen W. Comprehensive database and individual patient data meta-analysis of randomised controlled trials on psychotherapies reducing suicidal thoughts and behaviour: study protocol. BMJ Open 2020; 10:e037566. [PMID: 33277275 PMCID: PMC7722389 DOI: 10.1136/bmjopen-2020-037566] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 10/06/2020] [Accepted: 10/21/2020] [Indexed: 11/12/2022] Open
Abstract
INTRODUCTION Psychotherapy may reduce suicidal thoughts and behaviour, but its effectiveness is not well examined. Furthermore, conventional meta-analyses are unable to test possible effects of moderators affecting this relationship. This protocol outlines the building of a comprehensive database of the literature in this research field. In addition, we will conduct an individual patient data meta-analysis (IPD-MA) to establish the effectiveness of psychotherapy in reducing suicidality, and to examine which factors moderate the efficacy of these interventions. METHODS AND ANALYSIS To build a comprehensive database, randomised controlled trials examining the effect of any psychotherapy targeting any psychiatric disorder on suicidal thoughts or behaviour will be identified by running a systematic search in PubMed, Embase, PsycINFO, Web of Science, Scopus and The Cochrane Central Register of Controlled Trials from data inception to 12 August 2019. For the IPD-MA, we will focus on adult outpatients with suicidal ideation or behaviour. In addition, as a comparison group we will focus on a control group (waiting-list, care as usual or placebo). A 1-stage IPD-MA will be used to determine the effectiveness of psychotherapy on suicidal ideation, suicide attempts and/or suicide deaths, and to investigate potential patient-related and intervention-related moderators. Subgroup and sensitivity analyses will be conducted to test the robustness of the findings. Additionally, a conventional MA will be conducted to determine the differences between studies that provided IPD and those that did not. IPD-MA may determine the effectiveness of psychotherapy in reducing suicidality and provide insights into the moderating factors influencing the efficacy of psychotherapy. Answering these questions will inform mental healthcare practitioners about optimal treatments for different groups of individuals with suicidal ideation and/or behaviour and consequently help to reduce suicide risk. ETHICS AND DISSEMINATION An ethical approval is not required for this study. The results will be published in a peer-review journal. PROSPERO REGISTRATION NUMBER CRD42020140573.
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Affiliation(s)
- Mandy Xian Hu
- GGZ InGeest Specialized Mental Health Care, Amsterdam, The Netherlands
- 113 Zelfmoordpreventie, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center and GGZinGeest, Amsterdam, The Netherlands
| | - Christina Palantza
- GGZ InGeest Specialized Mental Health Care, Amsterdam, The Netherlands
- Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | | | - Eirini Karyotaki
- Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Heleen Riper
- GGZ InGeest Specialized Mental Health Care, Amsterdam, The Netherlands
- Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Derek de Beurs
- Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Chani Nuij
- Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Helen Christensen
- Black Dog Institute, University of New South Wales, Sydneyali, New South Wales, Australia
| | - Alison Calear
- Centre for Mental Health Research, The Australian National University, Canberra, Australian Capital Territory, Australia
| | - Aliza Werner-Seidler
- Black Dog Institute, University of New South Wales, Sydneyali, New South Wales, Australia
| | | | - Anton van Balkom
- GGZ InGeest Specialized Mental Health Care, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center and GGZinGeest, Amsterdam, The Netherlands
| | - Merijn Eikelenboom
- GGZ InGeest Specialized Mental Health Care, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center and GGZinGeest, Amsterdam, The Netherlands
| | - Jan Smit
- GGZ InGeest Specialized Mental Health Care, Amsterdam, The Netherlands
- 113 Zelfmoordpreventie, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center and GGZinGeest, Amsterdam, The Netherlands
| | - Wouter van Ballegooijen
- GGZ InGeest Specialized Mental Health Care, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center and GGZinGeest, Amsterdam, The Netherlands
- Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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9
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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: 3.0] [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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10
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Breedvelt JJF, Warren FC, Brouwer ME, Karyotaki E, Kuyken W, Cuijpers P, van Oppen P, Gilbody S, Bockting CLH. Individual participant data (IPD) meta-analysis of psychological relapse prevention interventions versus control for patients in remission from depression: a protocol. BMJ Open 2020; 10:e034158. [PMID: 32060157 PMCID: PMC7044815 DOI: 10.1136/bmjopen-2019-034158] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
INTRODUCTION Psychological interventions and antidepressant medication can be effective interventions to prevent depressive relapse for patients currently in remission of depression. Less is known about overall factors that predict or moderate treatment response for patients receiving a psychological intervention for recurrent depression. This is a protocol for an individual participant data (IPD) meta-analysis which aims to assess predictors and moderators of relapse or recurrence for patients currently in remission from depression. METHODS AND ANALYSIS Searches of PubMed, PsycINFO, Embase and Cochrane Central Register of Controlled Trials were completed on 13 October 2019. Study extractions and risk of bias assessments have been completed. Study authors will be asked to contribute IPD. Standard aggregate meta-analysis and IPD analysis will be conducted, and the outcomes will be compared with assess whether results differ between studies supplying data and those that did not. IPD files of individual data will be merged and variables homogenised where possible for consistency. IPD will be analysed via Cox regression and one and two-stage analyses will be conducted. ETHICS AND DISSEMINATION The results will be published in peer review journals and shared in a policy briefing as well as accessible formats and shared with a range of stakeholders. The results will inform patients and clinicians and researchers about our current understanding of more personalised ways to prevent a depressive relapse. No local ethics approval was necessary following consultation with the legal department. Guidance on patient data storage and management will be adhered to. PROSPERO REGISTRATION NUMBER CRD42019127844.
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Affiliation(s)
- Josefien J F Breedvelt
- Department of Psychiatry and Amsterdam Public Health research institute, Amsterdam University Medical Centre - Location AMC, Amsterdam, The Netherlands
| | - Fiona C Warren
- Institute of Health Research, College of Medicine & Health, University of Exeter, Exeter, UK
| | - Marlies E Brouwer
- Department of Psychiatry and Amsterdam Public Health research institute, Amsterdam University Medical Centre - Location AMC, Amsterdam, The Netherlands
| | - Eirini Karyotaki
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Willem Kuyken
- Department of Psychiatry, University of Oxford, Oxford, Oxfordshire, UK
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Patricia van Oppen
- Department of Psychiatry, Amsterdam Public Health research institute, Amsterdam University Medical Centre, location VUmc and GGZ InGeest, Amsterdam, Netherlands
| | - Simon Gilbody
- Mental Health and Addictions Research Group - Department of Health Sciences, The University of York, York, UK
| | - Claudi L H Bockting
- Department of Psychiatry and Amsterdam Public Health research institute, Amsterdam University Medical Centre - Location AMC, Amsterdam, The Netherlands
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11
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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: 239] [Impact Index Per Article: 47.8] [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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12
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Abstract
AIMS The Hamilton Depression Rating Scale (HAMD) and the Beck Depression Inventory (BDI) are the most frequently used observer-rated and self-report scales of depression, respectively. It is important to know what a given total score or a change score from baseline on one scale means in relation to the other scale. METHODS We obtained individual participant data from the randomised controlled trials of psychological and pharmacological treatments for major depressive disorders. We then identified corresponding scores of the HAMD and the BDI (369 patients from seven trials) or the BDI-II (683 patients from another seven trials) using the equipercentile linking method. RESULTS The HAMD total scores of 10, 20 and 30 corresponded approximately with the BDI scores of 10, 27 and 42 or with the BDI-II scores of 13, 32 and 50. The HAMD change scores of -20 and -10 with the BDI of -29 and -15 and with the BDI-II of -35 and -16. CONCLUSIONS The results can help clinicians interpret the HAMD or BDI scores of their patients in a more versatile manner and also help clinicians and researchers evaluate such scores reported in the literature or the database, when scores on only one of these scales are provided. We present a conversion table for future research.
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13
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Ebert DD, Buntrock C, Reins JA, Zimmermann J, Cuijpers P. Efficacy and moderators of psychological interventions in treating subclinical symptoms of depression and preventing major depressive disorder onsets: protocol for an individual patient data meta-analysis of randomised controlled trials. BMJ Open 2018; 8:e018582. [PMID: 29549201 PMCID: PMC5857689 DOI: 10.1136/bmjopen-2017-018582] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 12/12/2017] [Accepted: 01/11/2018] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION The long-term effectiveness of psychological interventions for the treatment of subthreshold depression and the prevention of depression is unclear and effects vary among subgroups of patients, indicating that not all patients profit from such interventions. Randomised clinical trials are mostly underpowered to examine adequately subgroups and moderator effects. The aim of the present study is, therefore, to examine the short-term and long-term as well as moderator effects of psychological interventions compared with control groups in adults with subthreshold depression on depressive symptom severity, treatment response, remission, symptom deterioration, quality of life, anxiety and the prevention of major depressive disorder (MDD) onsets on individual patient level and study level using an individual patient data meta-analysis approach. METHODS AND ANALYSIS Systematic searches in PubMed, PsycINFO, Embase and the Cochrane Central Register of Controlled Trials were conducted. We will use the following types of outcome criteria: (A) onset of major depression; (B) time to major depression onset; (C) observer-reported and self-reported depressive symptom severity; (D) response; (E) remission; (F) symptom deterioration; (G) quality of life, (H) anxiety; and (I) suicidal thoughts and behaviours. Multilevel models with participants nested within studies will be used. Missing data will be handled using a joint modelling approach to multiple imputation. A number of sensitivity analyses will be conducted in order test the robustness of our findings. ETHICS AND DISSEMINATION The investigators of the primary trials have obtained ethical approval for the data used in the present study and for sharing the data, if this was necessary, according to local requirements and was not covered from the initial ethic assessment.This study will summarise the available evidence on the short-term and long-term effectiveness of preventive psychological interventions for the treatment of subthreshold depression and prevention of MDD onset. Identification of subgroups of patients in which those interventions are most effective will guide the development of evidence-based personalised interventions for patients with subthreshold depression. PROSPERO REGISTRATION NUMBER CRD42017058585.
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Affiliation(s)
- David D Ebert
- Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander University Erlangen Nuremberg, Erlangen, Germany
| | - Claudia Buntrock
- Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander University Erlangen Nuremberg, Erlangen, Germany
| | - Jo Annika Reins
- Institute of Psychology, Leuphana University of Luneburg, Luneburg, Germany
| | - Johannes Zimmermann
- Chair for Psychological Methods and Diagnostics, Psychologische Hochschule Berlin, Berlin, Germany
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, EMGO+ Institute for Health and Care Research, VU University Amsterdam, Amsterdam, The Netherlands
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14
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Castelnuovo G. New and Old Adventures of Clinical Health Psychology in the Twenty-First Century: Standing on the Shoulders of Giants. Front Psychol 2017; 8:1214. [PMID: 28790942 PMCID: PMC5522870 DOI: 10.3389/fpsyg.2017.01214] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Accepted: 07/03/2017] [Indexed: 11/18/2022] Open
Affiliation(s)
- Gianluca Castelnuovo
- Istituto Auxologico Italiano IRCCS, Psychology Research Laboratory, Ospedale San GiuseppeVerbania, Italy.,Department of Psychology, Catholic University of the Sacred HeartMilan, Italy
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