1
|
Lam RW, Kennedy SH, Adams C, Bahji A, Beaulieu S, Bhat V, Blier P, Blumberger DM, Brietzke E, Chakrabarty T, Do A, Frey BN, Giacobbe P, Gratzer D, Grigoriadis S, Habert J, Ishrat Husain M, Ismail Z, McGirr A, McIntyre RS, Michalak EE, Müller DJ, Parikh SV, Quilty LS, Ravindran AV, Ravindran N, Renaud J, Rosenblat JD, Samaan Z, Saraf G, Schade K, Schaffer A, Sinyor M, Soares CN, Swainson J, Taylor VH, Tourjman SV, Uher R, van Ameringen M, Vazquez G, Vigod S, Voineskos D, Yatham LN, Milev RV. Canadian Network for Mood and Anxiety Treatments (CANMAT) 2023 Update on Clinical Guidelines for Management of Major Depressive Disorder in Adults: Réseau canadien pour les traitements de l'humeur et de l'anxiété (CANMAT) 2023 : Mise à jour des lignes directrices cliniques pour la prise en charge du trouble dépressif majeur chez les adultes. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2024; 69:641-687. [PMID: 38711351 PMCID: PMC11351064 DOI: 10.1177/07067437241245384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
BACKGROUND The Canadian Network for Mood and Anxiety Treatments (CANMAT) last published clinical guidelines for the management of major depressive disorder (MDD) in 2016. Owing to advances in the field, an update was needed to incorporate new evidence and provide new and revised recommendations for the assessment and management of MDD in adults. METHODS CANMAT convened a guidelines editorial group comprised of academic clinicians and patient partners. A systematic literature review was conducted, focusing on systematic reviews and meta-analyses published since the 2016 guidelines. Recommendations were organized by lines of treatment, which were informed by CANMAT-defined levels of evidence and supplemented by clinical support (consisting of expert consensus on safety, tolerability, and feasibility). Drafts were revised based on review by patient partners, expert peer review, and a defined expert consensus process. RESULTS The updated guidelines comprise eight primary topics, in a question-and-answer format, that map a patient care journey from assessment to selection of evidence-based treatments, prevention of recurrence, and strategies for inadequate response. The guidelines adopt a personalized care approach that emphasizes shared decision-making that reflects the values, preferences, and treatment history of the patient with MDD. Tables provide new and updated recommendations for psychological, pharmacological, lifestyle, complementary and alternative medicine, digital health, and neuromodulation treatments. Caveats and limitations of the evidence are highlighted. CONCLUSIONS The CANMAT 2023 updated guidelines provide evidence-informed recommendations for the management of MDD, in a clinician-friendly format. These updated guidelines emphasize a collaborative, personalized, and systematic management approach that will help optimize outcomes for adults with MDD.
Collapse
Affiliation(s)
- Raymond W. Lam
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Sidney H. Kennedy
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Camelia Adams
- Department of Psychiatry, University of Saskatchewan, Saskatoon, SK, Canada
| | - Anees Bahji
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Serge Beaulieu
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Venkat Bhat
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Pierre Blier
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
| | | | - Elisa Brietzke
- Department of Psychiatry, Queen's University, Kingston, ON, Canada
| | - Trisha Chakrabarty
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - André Do
- Department of Psychiatry, Université de Montréal, Montréal, QC, Canada
| | - Benicio N. Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Peter Giacobbe
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - David Gratzer
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | - Jeffrey Habert
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - M. Ishrat Husain
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Zahinoor Ismail
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Alexander McGirr
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Roger S. McIntyre
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Erin E. Michalak
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Daniel J. Müller
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sagar V. Parikh
- Department of Psychiatry, University of Michigan, Ann Arbour, MI, USA
| | - Lena S. Quilty
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Arun V. Ravindran
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Nisha Ravindran
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Johanne Renaud
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | | | - Zainab Samaan
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Gayatri Saraf
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
| | - Kathryn Schade
- Office of Research Services, Huron University, London, ON, Canada
| | - Ayal Schaffer
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Mark Sinyor
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | - Jennifer Swainson
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Valerie H. Taylor
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | | | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Michael van Ameringen
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Gustavo Vazquez
- Department of Psychiatry, Queen's University, Kingston, ON, Canada
| | - Simone Vigod
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Daphne Voineskos
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Lakshmi N. Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Roumen V. Milev
- Department of Psychiatry, Queen's University, Kingston, ON, Canada
| |
Collapse
|
3
|
Deng CJ, Yan J, Zheng YY, Wu TT, Pan Y, Hou XG, Wang SF, Sirajidin S, Aimaitijiang M, Xie X. Effectiveness of lipid-lowering therapy on mortality and major adverse cardiovascular event outcomes in patients undergoing percutaneous coronary intervention: a network meta-analysis of randomised controlled trials. BMJ Open 2023; 13:e070827. [PMID: 37967998 PMCID: PMC10660972 DOI: 10.1136/bmjopen-2022-070827] [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: 12/07/2022] [Accepted: 10/16/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Emergency percutaneous coronary intervention (PCI) can quickly restore myocardial perfusion after acute coronary syndrome. Whether and which lipid-lowering regimens are effective in reducing major adverse cardiovascular events (MACEs) and mortality risk after PCI remain unclear. OBJECTIVE This study assessed the benefits of different lipid-lowering regimens on the risk of MACEs and mortality in the post-PCI population by network meta-analysis. METHODS Public databases, including PubMed, Embase and the Cochrane Library, were searched from inception to August 2022. Randomised controlled trials (RCTs) on lipid-lowering regimens in post-PCI populations were included and analysed. The outcomes were the incidence of all-cause mortality and MACEs, whether reported as dichotomous variables or as HRs. RESULTS Thirty-nine RCTs were included. For MACEs, alirocumab plus rosuvastatin (OR: 0.18; 95% CI: 0.07 to 0.44), evolocumab plus ezetimibe and statins (OR: 0.19; 95% CI: 0.06 to 0.59), eicosapentaenoic acid (EPA) plus pitavastatin (HR: 0.67; 95% CI: 0.49 to 0.96) and icosapent ethyl plus statins (HR: 0.73; 95% CI: 0.62 to 0.86) had significant advantages and relatively high rankings. For mortality, rosuvastatin (OR: 0.30; 95% CI: 0.11 to 0.84), ezetimibe plus statins (OR: 0.55; 95% CI: 0.43 to 0.89) and icosapent ethyl plus statins (OR: 0.66; 95% CI: 0.45 to 0.96) had significant advantages compared with the control. CONCLUSION EPA, especially icosapent ethyl, plus statins had a beneficial effect on reducing the risk of MACEs and mortality in post-PCI patients. Proprotein convertase subtilisin/kexin type-9 inhibitors plus statins were able to reduce the risk of MACEs, but the risk of mortality remained unclear. PROSPERO REGISTRATION NUMBER CRD42018099600.
Collapse
Affiliation(s)
- Chang-Jiang Deng
- Department of Cardiology, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, China
| | - Ju Yan
- cardiovascular medicine department, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China
| | - Ying-Ying Zheng
- Department of Cardiology, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, China
| | - Ting-Ting Wu
- Department of Cardiology, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, China
| | - Ying Pan
- Department of Cardiology, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, China
| | - Xian-Geng Hou
- Department of Cardiology, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, China
| | - Si-Fan Wang
- Department of Cardiology, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, China
| | - Subinur Sirajidin
- Department of Cardiology, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, China
| | - Mikereyi Aimaitijiang
- Department of Cardiology, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, China
| | - Xiang Xie
- Department of Cardiology, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, China
| |
Collapse
|
4
|
Menne M, Seitidis G, Faggion C, Mavridis D, Pandis N. Early Optimistic Effect in Periodontology and Implant Dentistry Trials. J Dent Res 2022; 101:30-36. [PMID: 34237225 PMCID: PMC8721552 DOI: 10.1177/00220345211025242] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Differences in effect estimates between early primary trials included in a meta-analysis and the pooled estimate of meta-analysis might indicate potential novelty bias. The objective of this study was to assess the presence of novelty bias in a sample of studies published in periodontology and implant dentistry. On August 7, 2020, we searched the PubMed database for meta-analyses of clinical studies published between August 2015 and August 2020. Meta-analyses with at least 4 primary studies were selected for assessment. We fitted logistic regression models using trial characteristics as predictors to assess the association between these characteristics and 1) the odds of the first trial's estimate to be included in the meta-analysis confidence interval (CI) and 2) the odds of overlap between the first trial's CI and the meta-analysis prediction interval (PI). Ninety-two meta-analyses provided data for assessment. In absolute values, 70% of the meta-analyses have a pooled estimate smaller than the corresponding estimate of the first trial, although there was overlap of the CI of estimates from the first trial and the meta-analysis in 87% of the cases. This is probably due to the small number of trials in most meta-analyses and the subsequently large uncertainty associated with the pooled effect estimate. As the number of trials in the meta-analysis increased, the odds of the treatment effect estimate of the first trial to be included in the meta-analysis CI decreased by 15% for every additional trial (odds ratio, 0.85; 95% CI, 0.73 to 0.96). Meta-analytic effect estimates appear to be more conservative than those from the first trial in the meta-analysis. Our findings show evidence of novelty bias in periodontology and implant dentistry; therefore, clinicians should be aware of the risk of making decisions based on the information reported in new trials because of the risk of exaggerated estimates in these trials.
Collapse
Affiliation(s)
- M.C. Menne
- Department of Periodontology and Operative Dentistry, Faculty of Dentistry, University Hospital Münster, Münster, Germany
| | - G. Seitidis
- Department of Primary Education, School of Education, University of Ioannina, Ioannina, Greece
| | - C.M. Faggion
- Department of Periodontology and Operative Dentistry, Faculty of Dentistry, University Hospital Münster, Münster, Germany
| | - D. Mavridis
- Department of Primary Education, School of Education, University of Ioannina, Ioannina, Greece
| | - N. Pandis
- Department of Orthodontics and Dentofacial Orthopedics, Dental School/Medical Faculty, University of Bern, Bern, Switzerland
| |
Collapse
|
5
|
Luo Y, Chaimani A, Furukawa TA, Kataoka Y, Ogawa Y, Cipriani A, Salanti G. Visualizing the evolution of evidence: Cumulative network meta-analyses of new generation antidepressants in the last 40 years. Res Synth Methods 2021; 12:74-85. [PMID: 32352639 PMCID: PMC7818396 DOI: 10.1002/jrsm.1413] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 03/13/2020] [Accepted: 04/21/2020] [Indexed: 11/21/2022]
Abstract
It is often challenging to present the available evidence in a timely and comprehensible manner. We aimed to visualize the evolution of evidence about antidepressants for depression by conducting cumulative network meta-analyses (NMAs) and to examine whether it could have helped the selection of optimal drugs. We built a Shiny web application that performs and presents cumulative NMAs based on R netmeta. We used a comprehensive dataset of double-blind randomized controlled trials of 21 antidepressants in the acute treatment of major depression. The primary outcomes were efficacy (treatment response) and acceptability (all-cause discontinuation), and treatment effects were summarized via odds ratios. We evaluated the confidence in evidence using the CINeMA (Confidence in Network Meta-Analysis) framework for a series of consecutive NMAs. Users can change several conditions for the analysis, such as the period of synthesis, among the others. We present the league tables and two-dimensional plots that combine efficacy, acceptability and level of confidence in the evidence together, for NMAs conducted in 1990, 1995, 2000, 2005, 2010, and 2016. They reveal that through the past four decades, newly approved drugs often showed initially exaggerated results, which tended to diminish and stabilize after approximately a decade. Over the years, the drugs with relative superiority changed dramatically; but as the evidence network grew larger and better connected, the overall confidence improved. The Shiny app visualizes how evidence evolved over years, emphasizing the need for a careful interpretation of relative effects between drugs, especially for the potentially amplified performance of newly approved drugs. HIGHLIGHTS: Network meta-analysis is considered to be a proper way of demonstrating the available evidence, since it allows comparisons between multiple interventions, and has been proved to be statistically powerful. It is challenging to present the voluminous results of NMA in an efficient and comprehendible manner. Evidence evolution based on the relatively new method NMA has not been investigated yet. The results of NMA should not only include the effects but also the confidence in the evidence, which can help interpret the findings appropriately. Effective use of rapidly developing statistical analysis and presentation tools such as Shiny package in R, may facilitate and simplify the visualization of NMA output. We should stay conservative towards new drugs, as their performance was often shown to be exaggerated initially, and it took time to become stable.
Collapse
Affiliation(s)
- Yan Luo
- Department of Health Promotion and Human BehaviorSchool of Public Health in the Graduate School of Medicine, Kyoto UniversityKyotoJapan
| | - Anna Chaimani
- Research Center of Epidemiology and Statistics Sorbonne Paris Cité (CRESS‐UMR1153), INSERM, INRAUniversité de ParisParisFrance
| | - Toshi A. Furukawa
- Department of Health Promotion and Human BehaviorSchool of Public Health in the Graduate School of Medicine, Kyoto UniversityKyotoJapan
| | - Yuki Kataoka
- Hospital Care Research UnitHyogo Prefectural Amagasaki General Medical CenterHyogoJapan
| | - Yusuke Ogawa
- Department of Healthcare EpidemiologySchool of Public Health in the Graduate School of Medicine, Kyoto UniversityKyotoJapan
| | - Andrea Cipriani
- Department of PsychiatryUniversity of Oxford, Oxford Health NHS Foundation Trust, Warneford HospitalOxfordUK
| | - Georgia Salanti
- Institute of Social and Preventive MedicineUniversity of BernBernSwitzerland
| |
Collapse
|