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Tang H, Zhang B, Lu Y, Donahoo WT, Singh Ospina N, Kotecha P, Lu Y, Tong J, Smith SM, Rosenberg EI, Kimmel SE, Bian J, Guo J, Chen Y. Assessing the benefit-risk profile of newer glucose-lowering drugs: A systematic review and network meta-analysis of randomized outcome trials. Diabetes Obes Metab 2024. [PMID: 39723481 DOI: 10.1111/dom.16147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2024] [Revised: 12/07/2024] [Accepted: 12/10/2024] [Indexed: 12/28/2024]
Abstract
AIM To comprehensively evaluate the benefits and risks of glucagon-like peptide-1 receptor agonists (GLP-1RA), dipeptidyl peptidase 4 inhibitors (DPP4i), and sodium-glucose cotransporter 2 inhibitors (SGLT2i). MATERIALS AND METHODS A systematic search of PubMed, EMBASE, and Cochrane Central Register of Controlled Trials (CENTRAL) from inception to November 2023 to identify randomized cardiovascular and kidney outcome trials that enrolled adults with type 2 diabetes, heart failure, or chronic kidney disease and compared DPP4i, GLP-1RAs, or SGLT2i to placebo. Twenty-one outcomes (e.g., major adverse cardiovascular events [MACE], stroke, and hospitalization for heart failure [HHF]) were assessed. Data were pooled using population-averaged odds ratios (ORs) with 95% CIs. RESULTS Twenty-six trials enrolling 198 177 participants were included. GLP-1RAs were most effective in lowering the risks of MACE (OR, 0.85, [95% CI, 0.79 to 0.92]) and stroke (0.84 [0.77, 0.91]), but increased the risk of thyroid cancer (1.58 [1.36, 2.50]). SGLT2i showed the greatest benefits in reducing the risk of HHF (0.68 [0.64, 0.73]) and improving composite renal outcomes (0.67 [0.58, 0.77]), but increased the risk of genital infections (3.11 [2.15, 4.50]). DPP4i were associated with a lower risk of certain psychiatric disorders, Parkinson's disease (0.54 [0.32, 0.92]), and amputation (0.70 [0.86, 0.93]), but an increased risk of neuropathy (1.10 [1.02, 1.18]) and pancreatitis (1.63 [1.40, 1.91]). The weighted origami plot suggested that GLP-1RAs were more suitable for reducing macrovascular and microvascular outcomes, while DPP4i might be better for neurodegenerative diseases and cancer concerns. CONCLUSIONS Given the distinct benefit-risk profiles, the selection of glucose-lowering drugs should be individualized based on patient characteristics and risk factors.
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Affiliation(s)
- Huilin Tang
- Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Bingyu Zhang
- The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, Pennsylvania, USA
- The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yiwen Lu
- The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, Pennsylvania, USA
- The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - William T Donahoo
- Division of Endocrinology, Department of Medicine, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Naykky Singh Ospina
- Division of Endocrinology, Department of Medicine, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Pareeta Kotecha
- Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Ying Lu
- Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Jiayi Tong
- The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Steven M Smith
- Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, Florida, USA
- Center for Drug Evaluation and Safety, University of Florida, Gainesville, Florida, USA
| | - Eric I Rosenberg
- Division of General Internal Medicine, Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Stephen E Kimmel
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Jiang Bian
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Jingchuan Guo
- Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, Florida, USA
- Center for Drug Evaluation and Safety, University of Florida, Gainesville, Florida, USA
| | - Yong Chen
- The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, Pennsylvania, USA
- The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Leonard Davis Institute of Health Economics, Philadelphia, Pennsylvania, USA
- Penn Medicine Center for Evidence-based Practice (CEP), Philadelphia, Pennsylvania, USA
- Penn Institute for Biomedical Informatics (IBI), Philadelphia, Pennsylvania, USA
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Martinez-Calderon J, Villar-Alises O, García-Muñoz C, Pineda-Escobar S, Matias-Soto J. Exercise or mind-body exercises for psychiatry symptoms and quality of life in schizophrenia spectrum and other psychotic disorders: an overview of systematic reviews with meta-analysis. Disabil Rehabil 2024; 46:6034-6050. [PMID: 38436073 DOI: 10.1080/09638288.2024.2321318] [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] [Received: 06/13/2023] [Revised: 01/30/2024] [Accepted: 02/14/2024] [Indexed: 03/05/2024]
Abstract
PURPOSE This overview of systematic reviews with meta-analysis aimed to summarize the effects of exercise, regular physical activity, and mind-body exercises on negative symptoms, depression symptoms, and quality of life in schizophrenia spectrum and other psychotic disorders. MATERIAL AND METHODS The CINAHL, Embase, PubMed, SPORTDiscus, and the Cochrane Library databases were searched up to November 10, 2023. AMSTAR 2 was used and the overlap between reviews was calculated. RESULTS Eighteen reviews were included. No reviews meta-analyzed regular physical activity. Aerobic exercise may be more effective than yoga, treatment-as-usual, or multiple controls for reducing negative symptoms. Tai chi may be more effective than multiple controls for decreasing negative symptoms. Aerobic exercise or multimodal exercise programs may be more effective than multiple controls for reducing depression symptoms. Yoga may be more effective than waitlist for decreasing depression symptoms. Aerobic exercise may be more effective than multiple controls for improving quality of life. Yoga may be more effective than treatment-as-usual for improving quality of life. The rest of the meta-analyses found no differences between groups or combined different types of interventions in their meta-analyses. CONCLUSIONS Despite these results, important methodological concerns were detected that precluded us from making sound clinical recommendations. PROTOCOL REGISTRATION https://doi.org/10.17605/OSF.IO/7V5QZ.
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Affiliation(s)
- Javier Martinez-Calderon
- Instituto de Biomedicina de Sevilla, IBiS, Departamento de Fisioterapia, Universidad de Sevilla, Sevilla, Spain
- CTS 1110: Understanding Movement and Self in health from Science (UMSS) Research Group, Andalusia, Spain
| | - Olga Villar-Alises
- CTS 1110: Understanding Movement and Self in health from Science (UMSS) Research Group, Andalusia, Spain
- Department of Physiotherapy, Faculty of Nursing, Physiotherapy and Podiatry, University of Seville, Seville, Spain
| | - Cristina García-Muñoz
- CTS 1110: Understanding Movement and Self in health from Science (UMSS) Research Group, Andalusia, Spain
- Departamento de Ciencias de la Salud y Biomédicas, Universidad Loyola de Andalucía, Sevilla, Spain
| | - Saul Pineda-Escobar
- CTS 1110: Understanding Movement and Self in health from Science (UMSS) Research Group, Andalusia, Spain
- Department of Physiotherapy, Faculty of Nursing, Physiotherapy and Podiatry, University of Seville, Seville, Spain
| | - Javier Matias-Soto
- CTS 1110: Understanding Movement and Self in health from Science (UMSS) Research Group, Andalusia, Spain
- Faculty of Health Sciences, Department of Physical Therapy, Universidad de Malaga, Malaga, Spain
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Duan R, Tong J, Sutton AJ, Asch DA, Chu H, Schmid CH, Chen Y. Letter to the editor: Does the origami plot really improve the radar plot? Authors' response to Boers. J Clin Epidemiol 2024; 169:111170. [PMID: 37709154 DOI: 10.1016/j.jclinepi.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/03/2023] [Accepted: 09/05/2023] [Indexed: 09/16/2023]
Affiliation(s)
- Rui Duan
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Jiayi Tong
- Department of Biostatistics, Epidermiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Alex J Sutton
- Department of Health Sciences, University of Leicester, Leicester, LE, UK
| | - David A Asch
- Division of General Internal Medicine, University of Pennsylvania, Philadelphia, PA, USA; Leonard Davis Institute of Health Economics, Philadelphia, PA, USA
| | - Haitao Chu
- Pfizer Inc, New York, NY, USA; Division of Biostatistics, University of Minnesota, Minneapolis, MN, USA
| | | | - Yong Chen
- Department of Biostatistics, Epidermiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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Duan R, Tong J, Sutton AJ, Asch DA, Chu H, Schmid CH, Chen Y. Letter to the editor: Does the origami plot really improve the radar plot? Authors' further response to Boers. J Clin Epidemiol 2024; 169:111304. [PMID: 38417582 DOI: 10.1016/j.jclinepi.2024.111304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 02/19/2024] [Indexed: 03/01/2024]
Affiliation(s)
- Rui Duan
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
| | - Jiayi Tong
- Department of Biostatistics, Epidermiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Alex J Sutton
- Department of Health Sciences, University of Leicester, Leicester, Leicester, UK
| | - David A Asch
- Division of General Internal Medicine, University of Pennsylvania, Philadelphia, PA, USA; Leonard Davis Institute of Health Economics, Philadelphia, PA, USA
| | - Haitao Chu
- Statistical Research and Innovation, Global Biometrics and Data Management, Pfizer Inc., New York, NY, USA; Division of Biostatistics, University of Minnesota, Minneapolis, MN, USA
| | | | - Yong Chen
- Department of Biostatistics, Epidermiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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