Antidepressants use and the risk of type 2 diabetes mellitus: A systematic review and meta-analysis

Wang, Yuqing; Liu, Debiao; Li, Xuezhi; Liu, Yan; Wu, Yili

doi:10.1016/j.jad.2021.03.023

Cited by 22 publications

(11 citation statements)

References 51 publications

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“…Drug resistance in the treatment of MDD is a growing problem in clinical psychiatry (Munos et al 2009 ; Safer and Zito 2019 ; Goh et al 2020 ). Another challenge in treating depressed patients is the chronic nature of the disease that often necessitates lifelong drug treatment and, thus, the management of side effects, which may further contribute to the development of certain somatic problems in MDD patients, including type-2 diabetes in TCA-treated patients (Wang et al 2021 ) and stroke in SSRI-treated patients (Trajkova et al 2019 ), which increase risks of morbidity and death (Insel 2009 ; Baune et al 2012 ; WHO 2012 , 2017 ; Zuzarte et al 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Chronic mild stress paradigm as a rat model of depression: facts, artifacts, and future perspectives

et al. 2022

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Rationale The chronic mild stress (CMS) paradigm was first described almost 40 years ago and has become a widely used model in the search for antidepressant drugs for major depression disorder (MDD). It has resulted in the publication of almost 1700 studies in rats alone. Under the original CMS procedure, the expression of an anhedonic response, a key symptom of depression, was seen as an essential feature of both the model and a depressive state. The prolonged exposure of rodents to unpredictable/uncontrollable mild stressors leads to a reduction in the intake of palatable liquids, behavioral despair, locomotor inhibition, anxiety-like changes, and vegetative (somatic) abnormalities. Many of the CMS studies do not report these patterns of behaviors, and they often fail to include consistent molecular, neuroanatomical, and physiological phenotypes of CMS-exposed animals. Objectives To critically review the CMS studies in rats so that conceptual and methodological flaws can be avoided in future studies. Results Analysis of the literature supports the validity of the CMS model and its impact on the field. However, further improvements could be achieved by (i) the stratification of animals into ‘resilient’ and ‘susceptible’ cohorts within the CMS animals, (ii) the use of more refined protocols in the sucrose test to mitigate physiological and physical artifacts, and (iii) the systematic evaluation of the non-specific effects of CMS and implementation of appropriate adjustments within the behavioral tests. Conclusions We propose methodological revisions and the use of more advanced behavioral tests to refine the rat CMS paradigm, which offers a valuable tool for developing new antidepressant medications.

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Section: Introductionmentioning

confidence: 99%

Chronic mild stress paradigm as a rat model of depression: facts, artifacts, and future perspectives

et al. 2022

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“…• Current use of weight promoting atypical antipsychotic agents. [74][75][76][77][78] T A B L E 2 Diagnosis of pre-diabetes in Children and Adolescents…”

Section: T a B L E 1 Risk Based Screening For T2d In Children And Ado...mentioning

confidence: 99%

“…The use of psychotropic medications, including atypical antipsychotic agents that increase weight and insulin resistance, may also contribute to diabetes risk. [74][75][76][77] Youth with T2D should be screened for psychological co- Providers should avoid stigmatizing language and promote contextualizing and understanding of the complexity of childhood onset T2D which encompasses more than lifestyle-based behaviors.…”

Section: Psychosocial Healthmentioning

confidence: 99%

“…These include the Diabetes Distress Scale, the PHQ‐9, the Kessler distress score (K6), Unger resiliency scales, and the Psychological Stress Score (PSS14). The use of psychotropic medications, including atypical antipsychotic agents that increase weight and insulin resistance, may also contribute to diabetes risk 74–77 …”

Section: Co‐morbidities and Complicationsmentioning

confidence: 99%

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ISPAD Clinical Practice Consensus Guidelines 2022: Type 2 diabetes in children and adolescents

et al. 2022

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Since the 2018 ISPAD guidelines on this topic, follow-up of large cohorts from around the globe have continued informing the current incidence and prevalence of co-morbidities and complications in young adults with youth-onset type 2 diabetes (T2D). This chapter focuses on the risk factors, diagnosis and presentation of youthonset T2D, the initial and subsequent management of youth-onset T2D, and management of co-morbidities and complications. We include key updates from the observational phase of the multi-center Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) clinical trial, the SEARCH for Diabetes in Youth (SEARCH) study and new data from the Restoring Insulin Secretion (RISE) study, a head-to-head comparison of youth onset vs adult-onset T2D. We also include an expanded section on risk factors associated with T2D, algorithms and tables for treatment, management, and assessment of co-morbidities and complications, and sections on recently approved pharmacologic therapies for the treatment of youth-onset T2D, social determinants of health, and settings of care given COVID-19 pandemic.

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“…(Y. Wang et al, 2021), (Safaei et al, 2021), (Galbete et al, 2022) Uso de criterios de diagnóstico de diabetes, como sexo, edad, consumo de alcohol, depresión, obesidad, IMC, hipertensión, etcétera. (Madhava & Verma, 2019) Termografía mediante el sistema detección asistido por ordenador (CAD).…”

Section: Modelos De Diagnóstico Para La Detección De La Diabetesunclassified

Una revisión de las implementaciones de sistemas para la identificación de tendencias de la diabetes

Loja

Ygnacio

2022

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La diabetes mellitus es una enfermedad crónica que aparece cuando el páncreas no secreta suficiente insulina o cuando el organismo no utiliza apropiadamente la insulina que produce. Dado que la insulina es una hormona que regula la concentración de glucosa en la sangre, uno de los efectos más comunes de la diabetes no controlada es la hiperglucemia, que con el tiempo daña gravemente muchos órganos y sistemas del cuerpo. Por ello, es importante el desarrollo de software predictivo para el diagnóstico y posterior tratamiento de esta enfermedad, en particular para la diabetes tipo 1 y 2, que concentran la mayoría de los casos. El presente trabajo realiza una revisión sistemática de literatura a fin de determinar los métodos y la problemática en la construcción de sistemas de identificación de tendencias orientados a la diabetes. Los resultados muestran 16 métodos diferentes de construcción utilizados en estos sistemas, de los cuales los más eficientes son la regresión logística y las redes neuronales artificiales.

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Antidepressants use and the risk of type 2 diabetes mellitus: A systematic review and meta-analysis

Cited by 22 publications

References 51 publications

Chronic mild stress paradigm as a rat model of depression: facts, artifacts, and future perspectives

Chronic mild stress paradigm as a rat model of depression: facts, artifacts, and future perspectives

ISPAD Clinical Practice Consensus Guidelines 2022: Type 2 diabetes in children and adolescents

Una revisión de las implementaciones de sistemas para la identificación de tendencias de la diabetes

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