Smoking and Incidence of Insomnia: a systematic review and meta-analysis of cohort studies

Abstract Background: Both smoking and insomnia are worldwide problems and this study aims to investigate the impact of smoking on the incidence of insomnia. Methods: PubMed, EMBASE and OVID were searched through March, 2020. Cohort studies reporting the effect of smoking on the incidence of insomnia were included. We quantitatively analyzed the basic framework and study characteristics, and then pooled estimate effects with 95% confidence intervals (CIs) of outcomes of each included studies using fixed-effects meta-analyses. Results: This systematic review included six cohort studies involving 12445 participants. Quantitatively summarized results suggested smoking could significantly increase the incidence of insomnia (OR: 1.07, 95%CI: 1.02,1.13). Regular smoking was significantly associated with incidence of insomnia (OR=1.07, 95% CI:1.01,1.13). As for occasional smokers and ex-smokers, the pooled analysis didn’t indicate a significant association (occasional smoker: OR=2.09, 95% CI:0.44,9.95; ex-smoker; OR=1.02, 95% CI:0.67,1.54). Subgroup analysis by age, gender ratio and region showed statistically significant relationship between smoking and incidence of insomnia in specific groups. Conclusions: Integrated longitudinal observational evidence identified smoking as a significant risk factor of insomnia. Considering the limited amount of available studies, more high-quality and prospective cohort studies of large sample sizes are needed to explore details of this association.

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Smoking and Incidence of Insomnia: a systematic review and meta-analysis of cohort studies

10.21203/rs.3.rs-27889/v4 ◽

2020 ◽

Author(s):

Nan Hu ◽

Chunyi Wang ◽

Yan Liao ◽

Qichen Dai ◽

Shiyi Cao

Keyword(s):

Systematic Review ◽

Cohort Studies ◽

Fixed Effects ◽

Meta Analysis ◽

Significant Risk ◽

Significant Risk Factor ◽

Pooled Analysis ◽

Study Characteristics ◽

Meta Analyses ◽

The Impact

Abstract Background: Both smoking and insomnia are worldwide problems and this study aims to investigate the impact of smoking on the incidence of insomnia. Methods: PubMed, EMBASE and OVID were searched through March, 2020. Cohort studies reporting the effect of smoking on the incidence of insomnia were included. We quantitatively analyzed the basic framework and study characteristics, and then pooled estimate effects with 95% confidence intervals (CIs) of outcomes of each included studies using fixed-effects meta-analyses. Results: This systematic review included six cohort studies involving 12445 participants. Quantitatively summarized results suggested smoking could significantly increase the incidence of insomnia (OR: 1.07, 95%CI: 1.02,1.13). Regular smoking was significantly associated with incidence of insomnia (OR=1.07, 95% CI:1.01,1.13). As for occasional smokers and ex-smokers, the pooled analysis didn’t indicate a significant association (occasional smoker: OR=2.09, 95% CI:0.44,9.95; ex-smoker; OR=1.02, 95% CI:0.67,1.54). Subgroup analysis by age, gender ratio and region showed statistically significant relationship between smoking and incidence of insomnia in specific groups. Conclusions: Integrated longitudinal observational evidence identified smoking as a significant risk factor of insomnia. Considering the limited amount of available studies, more high-quality and prospective cohort studies of large sample sizes are needed to explore details of this association.

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Smoking and Incidence of Sleep Disorder: a systematic review and meta-analysis of cohort studies

10.21203/rs.3.rs-27889/v1 ◽

2020 ◽

Author(s):

Nan Hu ◽

Chunyi Wang ◽

Yan Liao ◽

Qichen Dai ◽

Shiyi Cao

Keyword(s):

Systematic Review ◽

Cohort Studies ◽

Sleep Disorder ◽

Fixed Effects ◽

Meta Analysis ◽

Significant Risk ◽

Positive Association ◽

Significant Risk Factor ◽

Pooled Analysis ◽

The Impact

Abstract Background Both smoking and sleep disorder are worldwide problems and this study aim to investigate the impact of smoking on the incidence of sleep disorder. Methods PubMed, EMBASE and OVID were searched through March, 2020. Cohort studies reporting the effect of smoking on the incidence of sleep disorder were included. We quantitatively analyzed the basic framework and study characteristics, and then pooled estimate effects with 95% confidence intervals (CIs) of outcomes of each included studies using fixed-effects meta-analyses. Results This systematic review included seven cohort studies involving 17,414 participants. Quantitatively summarized results suggested smoking could increase the incidence of sleep disorder (OR: 1.08, 95%CI: 1.02,1.13). For regular smokers and occasional smokers, significant association between smoking and incidence of sleep disorder was found (regular smoker: OR = 1.07, 95% CI:1.01,1.13; occasional smoker: OR = 1.62, 95% CI:1.15,2.28). As for ex-smokers, the pooled analysis didn’t indicate a positive association (OR = 1.02, 95% CI:0.67,1.54). Subgroup analysis by age, gender ratio and religion showed statistically significant relationship between smoking and incidence of sleep disorder in specific groups. Conclusions Integrated longitudinal observational evidence identified smoking as a significant risk factor of sleep disorder. Considering the limited amount of available researches, more high-quality and prospective cohort studies of large sample sizes are needed to explore details of this association.

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Epidural-Related Fever and Maternal and Neonatal Morbidity: A Systematic Review and Meta-Analysis

Neonatology ◽

10.1159/000504805 ◽

2020 ◽

Vol 117 (3) ◽

pp. 259-270 ◽

Cited By ~ 3

Author(s):

Sophie Jansen ◽

Enrico Lopriore ◽

Christiana Naaktgeboren ◽

Marieke Sueters ◽

Jacqueline Limpens ◽

...

Keyword(s):

Systematic Review ◽

Cohort Studies ◽

Antibiotic Treatment ◽

Assessment Tool ◽

Meta Analysis ◽

Cochrane Library ◽

Increased Risk ◽

Observational Cohort ◽

Meta Analyses ◽

The Impact

Background: While epidural analgesia (EA) is associated with maternal fever during labor, the impact on the risk for maternal and/or neonatal sepsis is unknown. Objectives: The aim of this systematic review was to investigate the effect of epidural-related intrapartum fever on maternal and neonatal outcomes. Methods: OVID MEDLINE, OVID Embase, the Cochrane Library, Cochrane Controlled Register of Trials, and clinical trial registries were searched for randomized controlled trials (RCT) and observational cohort studies from inception to November 2018. A total of 761 studies were identified with 100 eligible for full-text review. Only articles investigating the relationship between EA and maternal fever during labor were eligible for inclusion. Study quality was assessed using the Cochrane’s Risk of Bias tool and National Institute of Health Quality Assessment Tool. Two meta-analyses – one each for the RCT and observational cohort groups – were performed using the random-effects model of Mantel-Haenszel to produce summary risk ratios (RR) with 95% CI. Results: Twelve RCTs and 16 observational cohort studies involving 579,157 parturients were included. RRs for maternal fever for the RCT and cohort analyses were 3.54 (95% CI 2.61–4.81) and 5.60 (95% CI 4.50–6.97), respectively. Meta-analyses of RR for maternal infection in both groups were infeasible given few occurrences. Meta-analysis of data from observational studies showed an increased risk for maternal antibiotic treatment in the epidural group (RR 2.60; 95% CI 1.31–5.17). For both analyses, neonates born to women with an epidural were not evaluated more often for suspected sepsis. Neither analysis reported an increased rate of neonatal bacteremia or neonatal antibiotic treatment after EA, although data precluded conclusiveness. Conclusion: EA increases the risk of intrapartum fever and maternal antibiotic treatment. However, a definite conclusion on whether EA increases the risk for a proven maternal and/or neonatal bacteremia cannot be drawn due to the low quality of data. Further research on whether epidural-related intrapartum fever is of infectious origin or not is therefore needed.

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The Effect of Overhydration on Mortality and Technique Failure Among Peritoneal Dialysis Patients: A Systematic Review and Meta-Analysis

Blood Purification ◽

10.1159/000492148 ◽

2018 ◽

Vol 46 (4) ◽

pp. 350-358 ◽

Cited By ~ 6

Author(s):

Ying Shu ◽

Jing Liu ◽

Xiaoxi Zeng ◽

Hyokyoung G. Hong ◽

Yi Li ◽

...

Keyword(s):

Systematic Review ◽

Peritoneal Dialysis ◽

Journal Club ◽

Meta Analysis ◽

Significant Risk ◽

Significant Risk Factor ◽

High Ratio ◽

All Cause Mortality ◽

Meta Analyses ◽

Technique Failure

Background: Overhydration is common among peritoneal dialysis (PD) patients and can affect PD-related outcomes. This paper aims to systematically investigate whether bioimpedance-assessed overhydration is a predictor for mortality and technique failure in PD patients. Methods: We conducted a systematic review and meta-analysis of cohort studies on overhydration and prognosis in PD patients, strictly complying with the Preferred Reporting Items for Systematical Reviews and Meta-analyses. Results: Eight articles met the selection criteria and 5 studies were included in the meta-analysis. Meta-analyses-revealed overhydration, defined as a high ratio of extracellular water/total body water (ECW/TBW), was significantly associated with higher risk for all-cause mortality and technique failure. Other higher dichotomized overhydration indicators and continuous hydration variables all indicated overhydration as a significant risk factor for all-cause mortality. Conclusion: Overhydration, defined by a higher ratio of ECW/TBW, might be an independent predictor for all-cause mortality and technique failure among PD patients. However, more studies are needed to confirm this conclusion. Video Journal Club ‘Cappuccino with Claudio Ronco’ at https://www.karger.com/Journal/ArticleNews/223997?sponsor=52

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Overview of Federated Facility to Harmonize, Analyze and Management of Missing Data in Cohorts

Applied Sciences ◽

10.3390/app9194103 ◽

2019 ◽

Vol 9 (19) ◽

pp. 4103 ◽

Cited By ~ 2

Author(s):

Hema Sekhar Reddy Rajula ◽

Veronika Odintsova ◽

Mirko Manchia ◽

Vassilios Fanos

Keyword(s):

Missing Data ◽

Cohort Studies ◽

Fixed Effects ◽

Statistical Power ◽

Evidence Synthesis ◽

Meta Analysis ◽

Database Systems ◽

Contributing Factors ◽

Meta Analyses ◽

The Impact

Cohorts are instrumental for epidemiologically oriented observational studies. Cohort studies usually observe large groups of individuals for a specific period of time to identify the contributing factors to a specific outcome (for instance an illness) and create associations between risk factors and the outcome under study. In collaborative projects, federated data facilities are meta-database systems that are distributed across multiple locations that permit to analyze, combine, or harmonize data from different sources making them suitable for mega- and meta-analyses. The harmonization of data can increase the statistical power of studies through maximization of sample size, allowing for additional refined statistical analyses, which ultimately lead to answer research questions that could not be addressed while using a single study. Indeed, harmonized data can be analyzed through mega-analysis of raw data or fixed effects meta-analysis. Other types of data might be analyzed by e.g., random-effects meta-analyses or Bayesian evidence synthesis. In this article, we describe some methodological aspects related to the construction of a federated facility to optimize analyses of multiple datasets, the impact of missing data, and some methods for handling missing data in cohort studies.

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Effects of Sport-Based Interventions on Children’s Executive Function: A Systematic Review and Meta-Analysis

Brain Sciences ◽

10.3390/brainsci11060755 ◽

2021 ◽

Vol 11 (6) ◽

pp. 755

Author(s):

Falonn Contreras-Osorio ◽

Christian Campos-Jara ◽

Cristian Martínez-Salazar ◽

Luis Chirosa-Ríos ◽

Darío Martínez-García

Keyword(s):

Systematic Review ◽

Working Memory ◽

Executive Function ◽

Inhibitory Control ◽

Cognitive Flexibility ◽

Meta Analysis ◽

Scientific Evidence ◽

Healthy Children ◽

Meta Analyses ◽

The Impact

One of the most studied aspects of children’s cognitive development is that of the development of the executive function, and research has shown that physical activity has been demonstrated as a key factor in its enhancement. This meta-analysis aims to assess the impact of specific sports interventions on the executive function of children and teenagers. A systematic review was carried out on 1 November 2020 to search for published scientific evidence that analysed different sports programs that possibly affected executive function in students. Longitudinal studies, which assessed the effects of sports interventions on subjects between 6 and 18 years old, were identified through a systematic search of the four principal electronic databases: Web of Science, PubMed, Scopus, and EBSCO. A total of eight studies, with 424 subjects overall, met the inclusion criteria and were classified based on one or more of the following categories: working memory, inhibitory control, and cognitive flexibility. The random-effects model for meta-analyses was performed with RevMan version 5.3 to facilitate the analysis of the studies. Large effect sizes were found in all categories: working memory (ES −1.25; 95% CI −1.70; −0.79; p < 0.0001); inhibitory control (ES −1.30; 95% CI −1.98; −0.63; p < 0.00001); and cognitive flexibility (ES −1.52; 95% CI −2.20; −0.83; p < 0.00001). Our analysis concluded that healthy children and teenagers should be encouraged to practice sports in order to improve their executive function at every stage of their development.

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A protocol for the systematic review and meta-analysis of thigmotactic behaviour in the open field test in rodent models associated with persistent pain

BMJ Open Science ◽

10.1136/bmjos-2020-100135 ◽

2021 ◽

Vol 5 (1) ◽

pp. e100135

Author(s):

Xue Ying Zhang ◽

Jan Vollert ◽

Emily S Sena ◽

Andrew SC Rice ◽

Nadia Soliman

Keyword(s):

Systematic Review ◽

Outcome Measure ◽

Meta Analysis ◽

Persistent Pain ◽

Effect Sizes ◽

Bias Assessment ◽

Animal Pain ◽

Trim And Fill ◽

Meta Analyses ◽

The Impact

ObjectiveThigmotaxis is an innate predator avoidance behaviour of rodents and is enhanced when animals are under stress. It is characterised by the preference of a rodent to seek shelter, rather than expose itself to the aversive open area. The behaviour has been proposed to be a measurable construct that can address the impact of pain on rodent behaviour. This systematic review will assess whether thigmotaxis can be influenced by experimental persistent pain and attenuated by pharmacological interventions in rodents.Search strategyWe will conduct search on three electronic databases to identify studies in which thigmotaxis was used as an outcome measure contextualised to a rodent model associated with persistent pain. All studies published until the date of the search will be considered.Screening and annotationTwo independent reviewers will screen studies based on the order of (1) titles and abstracts, and (2) full texts.Data management and reportingFor meta-analysis, we will extract thigmotactic behavioural data and calculate effect sizes. Effect sizes will be combined using a random-effects model. We will assess heterogeneity and identify sources of heterogeneity. A risk-of-bias assessment will be conducted to evaluate study quality. Publication bias will be assessed using funnel plots, Egger’s regression and trim-and-fill analysis. We will also extract stimulus-evoked limb withdrawal data to assess its correlation with thigmotaxis in the same animals. The evidence obtained will provide a comprehensive understanding of the strengths and limitations of using thigmotactic outcome measure in animal pain research so that future experimental designs can be optimised. We will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines and disseminate the review findings through publication and conference presentation.

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Epidemiology and outcomes of COVID-19 in HIV-infected individuals: a systematic review and meta-analysis

Scientific Reports ◽

10.1038/s41598-021-85359-3 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Paddy Ssentongo ◽

Emily S. Heilbrunn ◽

Anna E. Ssentongo ◽

Shailesh Advani ◽

Vernon M. Chinchilli ◽

...

Keyword(s):

Systematic Review ◽

Meta Analysis ◽

Significant Risk ◽

Significant Risk Factor ◽

Cochrane Library ◽

Random Effects Models ◽

Beneficial Effects ◽

Risk Of Mortality ◽

Immunodeficiency Syndrome ◽

Hiv Negative

AbstractSusceptibility to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and the risk of mortality among people living with human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) (PLWHA) is largely unknown. PLWHA are unique due to their altered immune system from their history of chronic HIV infection and their use of antiretroviral therapy, some of which have been used experimentally to treat coronavirus disease 2019 (COVID-19). Therefore, we conducted a systematic review and meta-analysis to assess the epidemiology of SARS-COV-2/HIV coinfection and estimate associated mortality from COVID-19 (Prospero Registration ID: CRD42020187980). PubMed, SCOPUS, OVID and Cochrane Library databases, and medRxiv preprint repositories were searched from January 1, 2020, to December 12, 2020. Data were extracted from studies reporting COVID-19 attack and mortality rates in PLWHA compared to their HIV-negative counterparts. Pooled attack and mortality risks were quantified using random-effects models. We identified 22 studies that included 20,982,498 participants across North America, Africa, Europe, and Asia. The median age was 56 years, and 50% were male. HIV-positive persons had a significantly higher risk of SARS-CoV-2 infection [risk ratio (RR) 1.24, 95% CI 1.05–1.46)] and mortality from COVID-19 (RR 1.78, 95% CI 1.21–2.60) than HIV-negative individuals. The beneficial effects of tenofovir and protease-inhibitors in reducing the risk of SARS-CoV-2 infection and death from COVID-19 in PLWHA remain inconclusive. HIV remains a significant risk factor for acquiring SARS-CoV-2 infection and is associated with a higher risk of mortality from COVID-19. In support of the current Centers for Disease Control and Prevention (CDC) guidelines, persons with HIV need priority consideration for the SARS-CoV-2 vaccine.

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Molecular Investigation of miRNA Biomarkers as Chemoresistance Regulators in Melanoma: A Protocol for Systematic Review and Meta-Analysis

Genes ◽

10.3390/genes13010115 ◽

2022 ◽

Vol 13 (1) ◽

pp. 115

Author(s):

Peter Shaw ◽

Greg Raymond ◽

Katherine S. Tzou ◽

Siddhartha Baxi ◽

Ravishankar Ram Mani ◽

...

Keyword(s):

Systematic Review ◽

Fixed Effects ◽

Meta Analysis ◽

Cochrane Review ◽

Bibliographic Databases ◽

Analysis Model ◽

Pairwise Correlation ◽

Meta Regression Analysis ◽

Trim And Fill ◽

The Impact

Introduction: Melanoma is a global disease that is predominant in Western countries. However, reliable data resources and comprehensive studies on the theragnostic efficiency of miRNAs in melanoma are scarce. Hence, a decisive study or comprehensive review is required to collate the evidence for profiling miRNAs as a theragnostic marker. This protocol details a comprehensive systematic review and meta-analysis on the impact of miRNAs on chemoresistance and their association with theragnosis in melanoma. Methods and analysis: The articles will be retrieved from online bibliographic databases, including Cochrane Review, EMBASE, MEDLINE, PubMed, Scopus, Science Direct, and Web of Science, with different permutations of ‘keywords’. To obtain full-text papers of relevant research, a stated search method will be used, along with selection criteria. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Protocols 2015 (PRISMA-P) standards were used to create this study protocol. The hazard ratio (HR) with a 95% confidence interval will be analyzed using Comprehensive Meta-Analysis (CMA) software 3.0. (CI). The pooled effect size will be calculated using a random or fixed-effects meta-analysis model. Cochran’s Q test and the I2 statistic will be used to determine heterogeneity. Egger’s bias indicator test, Orwin’s and the classic fail-safe N tests, the Begg and Mazumdar rank collection test, and Duval and Tweedie’s trim and fill calculation will all be used to determine publication bias. The overall standard deviation will be evaluated using Z-statistics. Subgroup analyses will be performed according to the melanoma participants’ clinicopathological and biological characteristics and methodological factors if sufficient studies and retrieved data are identified and available. The source of heterogeneity will be assessed using a meta-regression analysis. A pairwise matrix could be developed using either a pairwise correlation or expression associations of miRNA with patients’ survival for the same studies.

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