Risk of depression and common comorbid mental disorders in persons with malaria: a protocol for a systematic review and meta-analysis

2020 ◽  
Author(s):  
Yanxu Yang ◽  
Matt Ciarletta ◽  
Yunqi Pan ◽  
Vernon M. Chinchilli ◽  
Paddy Ssentongo ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mental Disorders ◽  
Common Mental Disorders ◽  
Meta Analysis ◽  
Geographical Differences ◽  
Significance Level ◽  
Logit Transformation ◽  
Study Population ◽  
Meta Analyses ◽  
Comorbid Mental Disorders

Abstract Aim To estimate the pooled prevalence and incidence of depression and its common comorbid mental disorders in persons with a malarial infection and its neurological complications Method We will conduct a systematic review and meta-analysis of studies published between January 1, 1960 and January 1, 2020, reporting the prevalence or incidence of common mental disorders and the risks in people with malaria. We will search the following databases: PubMed (MEDLINE), Scopus, OVID (HEALTH STAR), OVID (MEDLINE) and Joana Briggs Institute EBF Database. No age, geographical location, study-design or language limits will be applied. If multiple languages were used to describe and publish the same data, the English version was selected. This protocol was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols guidelines. Three reviewers (MC, YP, YY) will independently screen citations, abstracts and will identify full-text articles for inclusion, extract data and appraise the quality and bias of included studies. Discrepancies will be resolved by consensus or consultation with a fourth researcher (AS). Risk of bias of included studies will be assessed by the Newcastle-Ottawa Quality Assessment Scale. The primary outcomes will be the overall prevalence or incidence of depression and common comorbid mental disorders (CCMDs) in persons with malaria. We will use the random-effects model with a logit transformation of proportions for the pooling of studies. We will assess the between-study heterogeneity using I2 statistics, and Cochrane’s Q statistic (significance level < 0.05). We will perform subgroup meta-analyses to investigate geographical differences in mental disorders and risks of different mental disorders. We will conduct a meta-regression analysis, using study level median age, race and gender proportions, the proportion of study population with malaria, and percentage of the study population with a diagnosis of common mental disorders. We will report absolute differences in the overall probability of common mental disorders. The Egger’s test and funnel plots will be used to assess publication bias.

Prevalence of PTSD and common mental disorders amongst ambulance personnel: a systematic review and meta-analysis

2018 ◽  
Vol 53 (9) ◽  
pp. 897-909 ◽  
Author(s):  
Katherine Petrie ◽  
Josie Milligan-Saville ◽  
Aimée Gayed ◽  
Mark Deady ◽  
Andrea Phelps ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mental Disorders ◽  
Common Mental Disorders ◽  
Meta Analysis ◽  
Ambulance Personnel

scholarly journals Standardisation of lymphatic filariasis microfilaraemia prevalence estimates based on different diagnostic methods: a systematic review and meta-analysis

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Natalie V. S. Vinkeles Melchers ◽  
Luc E. Coffeng ◽  
Sake J. de Vlas ◽  
Wilma A. Stolk
Keyword(s):  
Systematic Review ◽  
Lymphatic Filariasis ◽  
Membrane Filtration ◽  
Meta Analysis ◽  
Diagnostic Technique ◽  
Diagnostic Techniques ◽  
Diagnostic Methods ◽  
Prevalence Estimates ◽  
Study Population ◽  
Meta Analyses

Abstract Background Lymphatic filariasis (LF) infection is generally diagnosed through parasitological identification of microfilariae (mf) in the blood. Although historically the most commonly used technique for counting mf is the thick blood smear based on 20 µl blood (TBS20), various other techniques and blood volumes have been applied. It is therefore a challenge to compare mf prevalence estimates from different LF-survey data. Our objective was to standardise microfilaraemia (mf) prevalence estimates to TBS20 as the reference diagnostic technique. Methods We first performed a systematic review to identify studies reporting on comparative mf prevalence data as measured by more than one diagnostic test, including TBS20, on the same study population. Associations between mf prevalences based on different diagnostic techniques were quantified in terms of odds ratios (OR, with TBS20 blood as reference), using a meta-regression model. Results We identified 606 articles matching our search strategy and included 14 in our analyses. The OR of the mf prevalences as measured by the more sensitive counting chamber technique (≥ 50 µl blood) was 2.90 (95% confidence interval (CI): 1.60–5.28). For membrane filtration (1 ml blood) the OR was 2.39 (95% CI: 1.62–3.53), Knott’s technique it was 1.54 (95% CI: 0.72–3.29), and for TBS in ≥ 40 µl blood it was 1.37 (95% CI: 0.81–2.30). Conclusions We provided transformation factors to standardise mf prevalence estimates as detected by different diagnostic techniques to mf prevalence estimates as measured by TBS20. This will facilitate the use and comparison of more datasets in meta-analyses and geographic mapping initiatives across countries and over time.

scholarly journals Correction to: Stigma for common mental disorders in racial minorities and majorities a systematic review and meta-analysis

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ozlem Eylem ◽  
Leonore de Wit ◽  
Annemieke van Straten ◽  
Lena Steubl ◽  
Zaneta Melissourgaki ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mental Disorders ◽  
Common Mental Disorders ◽  
Meta Analysis ◽  
Racial Minorities

scholarly journals PTSD in prison settings: A systematic review and meta-analysis of comorbid mental disorders and problematic behaviours

PLoS ONE ◽  
2019 ◽  
Vol 14 (9) ◽  
pp. e0222407 ◽  
Author(s):  
Emma Facer-Irwin ◽  
Nigel J. Blackwood ◽  
Annie Bird ◽  
Hannah Dickson ◽  
Daniel McGlade ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mental Disorders ◽  
Meta Analysis ◽  
Comorbid Mental Disorders

scholarly journals Incidence, risk factors and outcomes of early postoperative hyperglycemia in surgical patients: a protocol for a systematic review and meta-analysis

2020 ◽  
Author(s):  
Paddy Ssentongo ◽  
Joseph A. Lewcun ◽  
Anna E. Ssentongo ◽  
David I. Soybel
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Clinical Outcomes ◽  
Meta Analysis ◽  
Risk Of Bias ◽  
Postoperative Outcomes ◽  
Cochrane Library ◽  
Logit Transformation ◽  
Incidence Risk ◽  
Meta Analyses

Abstract Background Early postoperative hyperglycemia is common and associated with poor postoperative outcomes. We aimed to estimate the pooled incidence, risk factors and clinical outcomes of early postoperative hyperglycemia in men and women globally. Method and analysis We will conduct a systematic review and meta-analysis of cohort studies published before January 1, 2020, reporting the incidence of postoperative hyperglycemia. We will search the following databases: PubMed (MEDLINE), Scopus, EMBASE, Cochrane Library, OVID (HEALTH STAR), OVID (MEDLINE), Joana Briggs Institute EBF Database and Web of Science. No age, geographical location, study-design or language limits will be applied. This protocol was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols guidelines. Two reviewers (JAL, AES) will independently screen citations, abstracts and will identify full-text articles for inclusion, extract data and evaluate the quality and bias of included studies. Discrepancies will be resolved by consensus or consultation with a third researcher (PS). The risk of bias of included studies will be evaluated by the appropriate Cochrane risk of bias tool. The primary outcome will be the overall incident rate of postoperative hyperglycemia. Secondary outcomes are the risk factors and clinical outcomes of postoperative hyperglycemia. We will use the random-effects model with a logit transformation of proportions for the pooling of studies. We will assess the between-study heterogeneity using the I 2 statistic, and Cochrane’s Q statistic (significance level < 0.05). We will perform subgroup meta-analyses to look at geographical differences in the incidence of postoperative hyperglycemia and conduct a meta-regression analysis, using study level median age, year of publication, study level gender proportions, the proportion of type 2 diabetes, mean body mass index, American Society of Anesthesiologists and type of surgical procedure. We will report the probability of postoperative hyperglycemia as a measure of incidence rate, relative risk ratios (RR) and 95% confidence intervals to report the effects of the risk factors and postoperative outcomes. The Egger’s test and funnel plots will be used to assess publication bias.

Sickness absence: a systematic review and meta-analysis of psychological treatments for individuals on sick leave due to common mental disorders

2018 ◽  
Vol 48 (12) ◽  
pp. 1954-1965 ◽  
Author(s):  
Sigrid Salomonsson ◽  
Erik Hedman-Lagerlöf ◽  
Lars-Göran Öst
Keyword(s):  
Systematic Review ◽  
Mental Disorders ◽  
Sick Leave ◽  
Psychiatric Symptoms ◽  
Common Mental Disorders ◽  
Meta Analysis ◽  
Behavioural Therapy ◽  
Psychological Interventions ◽  
Problem Solving Therapy ◽  
Significant Difference

AbstractSick leave due to common mental disorders (CMDs) increase rapidly and present a major societal challenge. The overall effect of psychological interventions to reduce sick leave and symptoms has not been sufficiently investigated and there is a need for a systematic review and meta-analysis of the field. The aim of the present meta-analysis was to calculate the effect size of psychological interventions for CMDs on sick leave and psychiatric symptoms based on all published randomized controlled trials. Methodological quality, the risk of bias and publication bias were also assessed. The literature searches gave 2240 hits and 45 studies were included. The psychological interventions were more effective than care as usual on both reduced sick leave (g = 0.15) and symptoms (g = 0.21). There was no significant difference in effect between work focused interventions, problem-solving therapy, cognitive behavioural therapy or collaborative care. We conclude that psychological interventions are more effective than care as usual to reduce sick leave and symptoms but the effect sizes are small. More research is needed on psychological interventions that evaluate effects on sick leave. Consensual measures of sick leave should be established and quality of psychotherapy for patients on sick leave should be improved.

scholarly journals Prevalence of Common Mental Disorders in South Asia: A Systematic Review and Meta-Regression Analysis

2020 ◽  
Vol 11 ◽  
Author(s):  
Sadiq Naveed ◽  
Ahmed Waqas ◽  
Amna Mohyud Din Chaudhary ◽  
Sham Kumar ◽  
Noureen Abbas ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mental Disorders ◽  
South Asian ◽  
Common Mental Disorders ◽  
Meta Analysis ◽  
Asian Countries ◽  
Stimulant Use ◽  
Pooled Prevalence ◽  
Policymaking And Implementation ◽  
Meta Regression Analysis

South Asian countries report the highest prevalence of common mental disorders (CMDs) globally. This systematic review and meta-analysis report the pooled prevalence of CMDs among the South Asian countries. Database searches were conducted in eight electronic databases. Titles, abstracts, full-text screening, and extraction of data on the event rate of 17 indicators of CMDs were performed by two independent reviewers. A total of 160 studies were included and data analysis was done using the Comprehensive Meta-analysis Software (v.3). A prevalence of depressive symptoms was 26.4% among 173,449 participants, alcohol abuse was 12.9% (n = 107,893); anxiety 25.8% (n = 70,058); tobacco smoking 18.6% (n = 84,965); PTSD 17.2% (n = 42,298); mixed anxiety and depression 28.4% (n = 11,102); suicidal behaviors 6.4% (n = 25,043); misuse of opiates 0.8% (n = 37,304); tobacco chewing 21.0% (n = 10,586); use of cannabis 3.4% (n = 10,977); GAD 2.9% (n = 70,058); bipolar disorder 0.6% (n = 7,197); IV drug abuse 2.5% (n = 15,049); panic disorder 0.01% (n = 28,087); stimulant use 0.9% (n = 1,414); OCD 1.6% (n = 8,784) and phobic disorders 1.8% (n = 27,754). This study reported a high prevalence of CMDs in South Asian countries; necessitating further research on psychiatric epidemiology in those contexts. It informs the need for effective policymaking and implementation of culturally appropriate multilevel interventions.

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