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Prevalence and risk factors of depression in patients with lung cancer: protocol for a systematic review and meta-analysis.

ABSTRACT: INTRODUCTION:Patients with lung cancer often experience heavy psychological distress, especially depression, which results in poorer quality of life, shorter survival time and greater mortality. Our aim is to summarise data on the prevalence and risk factors of depression in patients with lung cancer. METHODS AND ANALYSIS:We will search PubMed, EMBASE, MEDLINE, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfang and Chinese Biomedicine Literature Database (SinoMed) for studies on the prevalence and risk factors of depression in patients with lung cancer, which should be published from 1 January 1975 to 25 November 2018 in English/Chinese. Two reviewers will independently screen studies, extract data and assess the risk of bias. We will use RevMan V.5.0 and STATA V.12.0 software for statistical analysis. The I² test will be used to identify the extent of heterogeneity. Publication bias will be assessed by generating a funnel plot and performing the Begg and Egger test. The quality of the systematic review will be evaluated using the AMSTAR ('A Measurement Tool to Assess Systematic Reviews') criteria and 'The Grading of Recommendations Assessment, Development and Evaluation'. ETHICS AND DISSEMINATION:Since this is a review involving analysis of publicly available data, ethical approval is not required. The final results of this study will be published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER:CRD42018118167.

SUBMITTER: Yan XR

PROVIDER: S-EPMC6720982 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Prevalence and risk factors of depression in patients with lung cancer: protocol for a systematic review and meta-analysis.

Yan Xiao-Ru XR Chen Xun X Zhang Peitong P

BMJ open 20190830 8

<h4>Introduction</h4>Patients with lung cancer often experience heavy psychological distress, especially depression, which results in poorer quality of life, shorter survival time and greater mortality. Our aim is to summarise data on the prevalence and risk factors of depression in patients with lung cancer.<h4>Methods and analysis</h4>We will search PubMed, EMBASE, MEDLINE, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfang and Chinese Biomedicine Literature Dat ...[more]

PMID: 31473615

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Project description:BackgroundThe prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Depression is a significant complication of T2DM, leading to poor management of T2DM. Thus, early detection and treatment of depression in patients with T2DM are essential and effective. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the prevalence of depression in Chinese patients with T2DM and explore potential risk factors of depression in T2DM.MethodsWe will search literatures recorded in MEDLINE, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and WanFang Database from their inception onwards. We will manually search gray literatures, reference lists of identified studies, relevant websites, and consult experts in this field. We will include population-based, cross-sectional surveys that investigated the prevalence of depression in Chinese patients with T2DM or/and the possible risk factors of depression in T2DM. Two reviewers will screen studies, extract data, and evaluate risk of bias independently. Agency for Healthcare Research and Quality methodology checklist will be used to assess the risk of bias. If feasible, we will conduct random effects meta-analysis of observational data to summarize the pooled prevalence, and use odds ratio for categorical data to explore potential risk factors. Prevalence estimates will be stratified according to age, gender, and other factors. Statistical heterogeneity will be estimated using Cochran's Q and I2 index. We will conduct meta-regression to investigate the potential sources of heterogeneity, sensitivity analyses to assess robustness of the synthesized results, and funnel plots and Egger's test to assess publication bias.DiscussionThis systematic review and meta-analysis will provide comprehensive evidence of the prevalence and potential risk factors of depression in Chinese patients with T2DM. We expect to provide evidence for healthcare practitioners and policy makers to pay attention to the mental health of patients with T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM.Systematic review registrationPROSPERO CRD42020182979.

Project description:BackgroundPostpartum depression (PPD) is a common social health problem that affects not only the mother and newborn, but extends to other family members as well as various aspects of their lives. This systematic review and meta-analysis aims to identify the prevalence and risk factors of postpartum among the women in Middle East countries.MethodsWe searched published articles from Web of Science, EMBASE, PubMed and Cochrane electronic databases to establish study articles. Articles regarding postpartum depression prevalence and associated factors among women in the Middle East were included in this systematic review and meta-analysis. A random-effect model was used for estimation of pooled postpartum depression prevalence with a 95% confidence interval (CI) and forest plot. Presence of heterogeneity was checked by Cochran's (Q) test, and funnel plots and Egger's statistical tests were used to assess publication bias.ResultsA total of 15 studies were included in this systematic review. The studies were conducted in different countries of the Middle East between 2006 and 2020, nine of the included studies were cross-sectional studies and six were cohort studies. The overall pooled estimate of the prevalence of postpartum depression in the Middle East mothers was very high 27% (95% CI 0.19-0.35). The common risk factors reported based on our review were poor economic, pregnancy associated complications, low education, unplanned pregnancy, housewife, inadequate social support from family members and the feeding by formula. Poor economic and complication during pregnancy presented a significant relationship regarding postpartum depression in meta-analysis.ConclusionsThe prevalence of postpartum depression in the Middle East was higher than other regions of the world. In response to this, we recommend an increase of routine screening for depression during postpartum in this area. Furthermore, it might be necessary to integrate mental health with maternal health care in clinical practice during the postpartum.

Project description:OBJECTIVE:This systematic review and meta-analysis aim to evaluate the risk factors associated with postoperative opioid-induced respiratory depression (OIRD). DESIGN:Systematic review and meta-analysis. DATA SOURCES:PubMed-MEDLINE, MEDLINE in-process, EMBASE, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, PubMed and Clinicaltrials.gov (January 1946 to November 2017). ELIGIBILITY CRITERIA:The inclusion criteria were: (1) adult patients 18 years or older who were administered opioids after surgery and developed postoperative OIRD (OIRD group); (2) all studies which reported both OIRD events and associated risk factors; (3) all studies with reported data for each risk factor on patients with no OIRD (control group) and (4) published articles in English language. DATA ANALYSIS:We used a random effects inverse variance analysis to evaluate the existing evidence of risk factors associated with OIRD. Newcastle-Ottawa scale scoring system was used to assess quality of study. RESULTS:Twelve observational studies were included from 8690 citations. The incidence of postoperative OIRD was 5.0 cases per 1000 anaesthetics administered (95%?CI: 4.8 to 5.1; total patients: 841 424; OIRD: 4194). Eighty-five per cent of OIRD occurred within the first 24?hours postoperatively. Increased risk for OIRD was associated with pre-existing cardiac disease (OIRD vs control: 42.8% vs 29.6%; OR: 1.7; 95%?CI: 1.2 to 2.5; I2: 0%; p<0.002), pulmonary disease (OIRD vs control: 17.8% vs 10.3%; OR: 2.2; 95%?CI: 1.3 to 3.6; I2: 0%; p<0.001) and obstructive sleep apnoea (OIRD vs control: 17.9% vs 16.5%; OR: 1.4; 95%?CI: 1.2 to 1.7; I2: 31%; p=0.0003). The morphine equivalent daily dose of the postoperative opioids was higher in the OIRD group than in the control; (24.7±14?mg vs 18.9±13.0?mg; mean difference: 2.8; 95%?CI: 0.4 to 5.3; I2: 98%; p=0.02). There was no significant association between OIRD and age, gender, body mass index or American Society of Anesthesiologists physical status. CONCLUSION:Patients with cardiac, respiratory disease and/or obstructive sleep apnoea were at increased risk for OIRD. Patients with postoperative OIRD received higher doses of morphine equivalent daily dose.

Project description:BackgroundCoronavirus disease 2019 (COVID-19) is an infectious disease characterized by cough, fever, and fatigue and 20% of cases will develop into severe conditions resulting from acute lung injury with the manifestation of the acute respiratory distress syndrome (ARDS) that accounts for more than 50% of mortality. Currently, it has been reported that some comorbidities are linked with an increased rate of severity and mortality among COVID-19 patients. To assess the role of comorbidity in COVID-19 progression, we performed a systematic review with a meta-analysis on the relationship of COVID-19 severity with 8 different underlying diseases.MethodsPubMed, Web of Science, and CNKI were searched for articles investigating the prevalence of comorbidities in severe and non-severe COVID-19 patients. A total of 41 studies comprising 12,526 patients were included.ResultsPrevalence of some commodities was lower than that in general population such as hypertension (19% vs 23.2%), diabetes (9% vs 10.9%), chronic kidney disease (CKD) (2% vs 9.5%), chronic liver diseases (CLD) (3% vs 24.8%) and chronic obstructive pulmonary disease (COPD) (3% vs 8.6%), while some others including cancer (1% vs 0.6%), cardiovascular disease (6% vs 1.8%) and cerebrovascular disease (2% vs 0.9%) exhibited greater percentage in COVID-19. Cerebrovascular disease (OR = 3.70, 95%CI 2.51-5.45) was found to be the strongest risk factor in disease exacerbation, followed by CKD (OR = 3.60, 95%CI 2.18-5.94), COPD (OR = 3.14, 95% CI 2.35-4.19), cardiovascular disease (OR = 2.76, 95% CI 2.18-3.49), malignancy (OR = 2.63, 95% CI 1.75-3.95), diabetes (OR = 2.49, 95% CI 2.10-2.96) and hypertension (OR = 2.13, 95% CI 1.81-2.51). We found no correlation between CLD and increased disease severity (OR = 1.32, 95% CI 0.96-1.82).ConclusionThe impact of all eight underlying diseases on COVID-19 deterioration seemed to be higher in patients outside Hubei. Based on different comorbidities, COVID-19 patients tend to be at risk of developing poor outcomes to a varying degree. Thus, tailored infection prevention and monitoring and treatment strategies targeting these high-risk subgroups might improve prognosis during the COVID-19 pandemic.

Project description:Background:Evidence has shown that the prevalence of depression is much higher among patients with tuberculosis (TB) and this, in turn, may adversely impact compliance with anti-TB medications. Therefore, this systematic review and meta-analysis aimed to quantitatively summarize epidemiologic evidence on the prevalence of depression among patients with TB and formulate a recommendation for future clinical practice as well as research. Methods:We followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines to conduct this review. We searched PubMed, EMBASE, SCOPUS and Psych INFO to identify relevant studies that investigated the prevalence of depression among TB patients. We also supplemented our electronic search with manual searching to include all pertinent studies in the analysis. We used a Comprehensive Meta-Analysis software version 3.0 (CMA 3.0) to conduct a meta-analysis. We conducted a subgroup and sensitivity analysis and Cochran's Q- and the I 2-statistics were used to assess heterogeneity. The evidence for the presence of publication bias was checked by using Egger's test and visual inspection of the symmetry in funnel plots. Results:We identified a total of 25 studies that included 4903 participants across seven countries. In our analysis, the pooled estimated prevalence of depression among TB patients was found to be 45.19% (95% CI 38.04-52.55). The prevalence was higher in MDR-TB 52.34% (95% CI 38.09-66.22) than non-MDR-TB 43.47% (95% CI 35.88-51.37) patients. We also found that the pooled prevalence of depression was higher among females 51.54% (95% CI 40.34-62.60) when compared to males 45.25% (95% CI 35.19-55.71). The pooled prevalence of depression was 45.45% as measured by HRDS, and it was 55.62%, 45.52%, and 38.36% as measured by BDI, HADS and PHQ-9, respectively. Conclusion:Our finding suggested that the pooled estimated prevalence of depression among tuberculosis patients was relatively high. Screening and management of depression among TB patients were warranted to alleviate suffering. Moreover, the integration of tuberculosis program with regular psychiatry services may substantially reduce the burden.

Project description:BackgroundGlobally, post-partum depression is a major public health problem and is associated with a harmful effect on the infant, child, and mothers' mental, physical, and social health. Although a few post-partum depression studies have been published, we still lack an accurate estimated pooled prevalence of national PPD and associated factors.ObjectivesThis study aims to show the estimated pooled prevalence of PPD and associated factors in Ethiopia.MethodsWe conduct the extensive search of articles as indicated in the guideline (PRISMA), reporting systematic review and meta-analysis. Databases like MEDLINE, PubMed, psych INFO, Web of Science, EMBASE, CINAHL, Scopus, and The Cochrane Library. All publications and grey literature were addressed by using MeSH terms and keywords. The pooled estimated effect of post-partum depression and associated factors was analyzed using the random effect model meta-analysis, and 95% CI was also considered.Protocol and registrationPROSPERO 2020 CRD42020176769 Available from https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020176769.ResultA total of 11 studies with 7,582 participants were included in this meta-analysis. The estimated pooled prevalence of post-partum depression (PPD) was 22.08%, with a 95% CI (17.66%, 26.49). For factors associated with post-partum depression, a random effect size model was used during meta-analysis; unplanned pregnancy [(OR = 2.84; 95% CI (2.04, 3.97)], domestic violence [OR = 3.14; 95% CI (2.59, 3.80)], and poor social support [OR = 3.57;95% CI (2.29,5.54) were positively associated factors with post-partum depression.Conclusion and recommendationThe estimated pooled prevalence of post-partum depression was high in Ethiopia. Unplanned pregnancy, poor social support, and domestic violence were factors affecting PPD. Therefore, the Ethiopian policymakers and health personnel better give more emphasis to mothers who had a history of unplanned pregnancy, domestic violence, and poor social support.

Dataset Information

Prevalence and risk factors of depression in patients with lung cancer: protocol for a systematic review and meta-analysis.

Publications

Prevalence and risk factors of depression in patients with lung cancer: protocol for a systematic review and meta-analysis.

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