The Accuracy of Diagnostic Methods for Diabetic Retinopathy: A Systematic Review and Meta-Analysis

Objective: The objective of this study was to evaluate the accuracy of the recommended glycemic measures for diagnosing diabetic retinopathy. Methods: We systematically searched MEDLINE, EMBASE, the Cochrane Library, and the Web of Science databases from inception to July 2015 for observational studies comparing the diagnostic accuracy of glycated hemoglobin (HbA1c), fasting plasma glucose (FPG), and 2-hour plasma glucose (2h-PG). Random effects models for the diagnostic odds ratio (dOR) value computed by Moses’ constant for a linear model and 95% CIs were used to calculate the accuracy of the test. Hierarchical summary receiver operating characteristic curves (HSROC) were used to summarize the overall test performance. Results: Eleven published studies were included in the meta-analysis. The pooled dOR values for the diagnosis of retinopathy were 16.32 (95% CI 13.86–19.22) for HbA1c and 4.87 (95% CI 4.39–5.40) for FPG. The area under the HSROC was 0.837 (95% CI 0.781 0.892) for HbA1c and 0.735 (95% CI 0.657–0.813) for FPG. The 95% confidence region for the point that summarizes the overall test performance of the included studies occurs where the cutoffs ranged from 6.1% (43.2 mmol/mol) to 7.8% (61.7 mmol/mol) for HbA1c and from 7.8 to 9.3 mmol/L for FPG. In the four studies that provided information regarding 2h-PG, the pooled accuracy estimates for HbA1c were similar to those of 2h-PG; the overall performance for HbA1c was superior to that for FPG. Conclusions: The three recommended tests for the diagnosis of type 2 diabetes in nonpregnant adults showed sufficient accuracy for their use in clinical settings, although the overall accuracy for the diagnosis of retinopathy was similar for HbA1c and 2h-PG, which were both more accurate than for FPG. Due to the variability and inconveniences of the glucose level-based methods, HbA1c appears to be the most appropriate method for the diagnosis diabetic retinopathy

Association between screen media use and academic performance among children and adolescents: A systematic review and meta-analysis

Importance The health consequences of excessive screen media use in children and adolescents are increasingly being recognized; however, the association between screen media use and academic performance remains to be elucidated. Objectives To estimate the association of time spent on screen-based activities with specific academic performance areas in children and adolescents and to examine this association separately in these populations. Data Sources MEDLINE, Scopus, Web of Science, Cochrane Database of Systematic Reviews, and ERIC were searched from database inception through September 2018. Study Selection Cross-sectional studies of the association between time or frequency of screen media use and academic performance in children and adolescents were independently screened by 2 researchers. A total of 5599 studies, published between 1958 and 2018 from 23 countries, were identified. Data Extraction and Synthesis Data were processed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Random-effects models were used to estimate the pooled effect size (ES). Main Outcomes and Measures Academic performance areas included composite scores, language, and mathematics. Screen media measurements included time or frequency of computer, internet, mobile phone, television, video game, and overall screen media use. Results In total, 58 cross-sectional studies (1.0%) of 5599 articles were included in the systematic review, of which 30 (52%) were included in the meta-analysis. The systematic review studies involved 480 479 participants aged 4 to 18 years, ranging from 30 to 192 000 people per study, and the meta-analysis studies involved 106 653 total participants, ranging from 70 to 42 041 people per study. Across studies, the amount of time spent on overall screen media use was not associated with academic performance (ES = −0.29; 95% CI, −0.65 to 0.08). Individually, television viewing was inversely associated with composite academic performance scores (ES = −0.19; 95% CI, −0.29 to −0.09), language (ES = −0.18; 95% CI, −0.36 to −0.01), and mathematics (ES = −0.25; 95% CI, −0.33 to −0.16). Video game playing was inversely associated with composite scores (ES = −0.15; 95% CI, −0.22 to −0.08). Subgroup analyses found that television viewing was inversely associated with language only in children (ES = −0.20; 95% CI, −0.26 to −0.15), whereas both television viewing (ES = −0.19; 95% CI, −0.30 to −0.07) and video game playing (ES = −0.16; 95% CI, −0.24 to −0.09) were inversely associated with composite scores only in adolescents. Conclusions and Relevance Findings from this study suggest that each screen-based activity should be analyzed individually for its association with academic performance, particularly television viewing and video game playing, which appeared to be the activities most negatively associated with academic outcomes. Education and public health professionals should consider supervision and reduction to improve the academic performance of children and adolescents exposed to these activities

Association between wine consumption and cancer: a systematic review and meta-analysis

BackgroundAlcohol consumption is related to the risk of developing different types of cancer. However, unlike other alcoholic beverages, moderate wine drinking has demonstrated a protective effect on the risk of developing several types of cancer.ObjectiveTo analyze the association between wine consumption and the risk of developing cancer.MethodsWe searched the MEDLINE (through PubMed), Scopus, Cochrane, and Web of Science databases to conduct this systematic review and meta-analysis. Pooled relative risks (RRs) were calculated using the DerSimonian and Laird methods. I2 was used to evaluate inconsistency, the τ2 test was used to assess heterogeneity, and The Newcastle-Ottawa Quality Assessment Scale were applied to evaluate the risk of bias. This study was previously registered in PROSPERO, with the registration number CRD42022315864.ResultsSeventy-three studies were included in the systematic review, and 26 were included in the meta-analysis. The pooled RR for the effect of wine consumption on the risk of gynecological cancers was 1.03 (95% CI: 0.99, 1.08), that for colorectal cancer was 0.92 (95% CI: 0.82, 1.03), and that for renal cancer was 0.92 (95% CI: 0.81, 1.04). In general, the heterogeneity was substantial.ConclusionThe study findings reveal no association between wine consumption and the risk of developing any type of cancer. Moreover, wine drinking demonstrated a protective trend regarding the risk of developing pancreatic, skin, lung, and brain cancer as well as cancer in general.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022315864, identifier CRD42022315864 (PROSPERO)

Association between sleep duration and cardiovascular risk: the EVasCu cross-sectional study

IntroductionSome cardiovascular risk markers have been associated with alterations in sleep duration in different populations; however, there is little evidence in a healthy population.AimThe aim of the present study was to analyze the associations between sleep duration and cardiovascular risk biomarkers, including advanced glycation end-products (AGEs) measured by skin autofluorescence (SAF), maximum carotid intima-media thickness (IMTMax), aortic pulse wave velocity (a-PWV), pulse pressure (PP), and low-density lipoprotein cholesterol (LDL-C), in healthy adults (EVasCu study).MethodologyThe EVasCu study included 390 participants. Simple and multiple linear regressions were performed between sleep duration and cardiovascular risk markers. ANOVA analysis and ANCOVA analysis adjusted for various covariates were then performed after categorizing sleep into 6 h, 6–8 h, and >8 h.Results296 participants were included in the analyses (43.97 ± 12.60 years, 63.9% female). Simple linear regressions showed an inverse association between sleep duration and SAF, IMTMax, aPWV and PP. However, in the multiple linear regression with all the covariates, the statistical significance was lost. For its part, in the ANOVA analyses, sleep duration was also associated with the same parameters, but when performing the fully adjusted ANCOVA analyses, the statistical significance for SAF was maintained (p = 0.015), obtaining a difference of 0.223 arbitrary units (p = 0.017) when comparing the group <6 h vs. > 8 h. Finally, there was no association for LDL-C.ConclusionAn inverse association was found between sleep duration and APS, which is considered a marker of cardiovascular risk. Although prospective studies are needed, it is suggested that insufficient sleep may increase cardiovascular risk, which could be a key factor in future public health policies to promote health and prevent CVD

Comparative efficacy of exercise, diet and/or pharmacological interventions on BMI, ovulation, and hormonal profile in reproductive-aged women with overweight or obesity: a systematic review and network meta-analysis

Supplementary data are available at Human Reproduction Update online: https://academic.oup.com/humupd/article-lookup/doi/10.1093/humupd/dmae008#supplementary-dataBACKGROUND The increasing prevalence of obesity worldwide poses a significant threat to reproductive function owing, in part, to hormonal disturbances caused by negative feedback between excess adiposity and the hypothalamic–pituitary–ovarian axis. Consequently, finding the most appropriate strategies to lose weight and improve ovulation in women with overweight or obesity is a clinically relevant matter that needs to be investigated. A comprehensive comparison of the independent and combined efficacy of lifestyle and/or pharmacological interventions on BMI, ovulation, and hormonal profile in women with overweight or obesity at risk of anovulatory infertility would facilitate improving fertility strategies in this population. OBJECTIVE AND RATIONALE This study aimed to evaluate the comparative efficacy of exercise, diet, and pharmacological interventions on BMI, ovulation, and hormonal profile in reproductive-aged women with overweight or obesity. SEARCH METHODS A systematic review was performed by searching PubMed, Scopus, Web of Science, PsycINFO, and Cochrane Library up to 14 December 2023, for randomized controlled trials assessing the effects of exercise, diet and/or pharmacological interventions (i.e. weight-lowering drugs or ovulation inducers) on BMI, ovulation, and/or hormonal profile in reproductive-aged women with overweight or obesity. We performed frequentist random-effect network meta-analyses and rated the certainty of the evidence. The primary outcomes were BMI and ovulation rate, and the secondary outcomes were serum reproductive hormone levels (gonadotrophins, androgens, or oestrogens). We performed sensitivity analyses, including the studies that only involved women with PCOS. OUTCOMES Among 1190 records screened, 148 full texts were assessed for eligibility resulting in 95 trials (9910 women), of which 53% presented a high or unclear risk of bias. The network meta-analyses revealed that, compared to control: diet combined with weight-lowering drugs (mean difference (MD) −2.61 kg/m2; 95% CI −3.04 to −2.19; τ2 = 0.22) and adding exercise (MD −2.35 kg/m2; 95% CI −2.81 to −1.89; τ2 = 0.22) led to the greatest decrease in BMI; exercise combined with diet and ovulation inducers (risk ratio (RR) 7.15; 95% CI 1.94–26.40; τ2 = 0.07) and exercise combined with diet and weight-lowering drugs (RR 4.80; 95% CI 1.67–13.84; τ2 = 0.07) produced the highest increase in ovulation rate; and exercise combined with diet and weight-lowering drugs was the most effective strategy in reducing testosterone levels (standardized mean difference (SMD) −2.91; 95% CI −4.07 to −1.74; τ2 = 2.25), the third most effective strategy in increasing sex hormone-binding globulin levels (SMD 2.37; 95% CI 0.99–3.76; τ2 = 2.48), and it was coupled with being ranked first in terms of free androgen index reduction (SMD −1.59; 95% CI −3.18 to 0.01; τ2 = 1.91). The surface under the cumulative ranking curve scores suggested that: diet combined with weight-lowering drugs is the strategy most likely (94%) to produce the highest BMI reduction; and exercise combined with diet and ovulation inducers is the strategy most likely (89%) to produce the highest ovulation rate improvement. The sensitivity analyses, which exclusively included studies involving women diagnosed with PCOS, were consistent with the results presented above. WIDER IMPLICATIONS Overall, the findings of this network meta-analysis indicate that the combination of exercise, diet, and pharmacological interventions is effective for weight loss, improving ovulation, and normalizing the androgen levels of women with overweight or obesity. Although higher quality studies are needed, these results support that the optimal treatment strategy for women with overweight or obesity wishing to conceive must consider exercise, diet, and pharmacological interventions during the shared decision-making process.Ministerio de Economía y Competitividad (MINECO), Plan Nacional de IþDþi call RETOS 2018 (grant number RTI2018-093302-A-I00).Ministry of Science, Innovation and Universities of the government of Spain Grant number FPU20/05746 Grant number FPU21/04573Plan Propio de Investigación, ‘Gerty Cori program’, from University of Almería, SpainProjects Endo-Map PID2021- 12728OB-100 and ROSY CNS2022-135999 funded by MICIU/AEI/ 10.13039/501100011033 and by FEDER, EUFunding for open access charge: Universidad de Almería (Spain)/CBU

Effect of different types of exercise on health-related quality of life during and after cancer treatment: a protocol for a systematic review and network meta-analysis

INTRODUCTION: Cancer (and survival) is known to affect the quality of life. Strategies as physical activity and exercise during and after cancer may improve health-related qualify of life (HRQOL) outcomes and are, therefore, of clinical and public health importance. To the best of our knowledge, comparative evidence of the effect of the different types of exercise on improving HRQOL in cancer patients has not been synthesised thus far. We aim to conduct a systematic review and network meta-analysis in order to synthesise all available evidence regarding the effect of different types of exercise interventions on HRQOL during and after cancer treatment. METHODS AND ANALYSIS: MEDLINE (via PubMed), Web of Science, Embase, The Cochrane Library and SPORTDiscus will be searched from inception to December 2018 for relevant randomised controlled trials (RCTs) and non-RCTs. Studies assessing physical activity and exercise interventions in cancer patients (during treatment) and survivors (after treatment) will be selected. Two independent reviewers will identify eligible studies. After quality appraisal and data extraction, we will conduct meta-analyses for outcomes of interest, including data from mental and physical dimensions of cancer-specific and/or generic HRQOL questionnaires. Risk of bias assessments will be completed using the Quality Assessment Tool for Quantitative Studies. Study heterogeneity will be measured by the I2 statistic. Bayesian (and traditional approach) network meta-analysis will be performed when possible to determine the comparative effect of the different physical activity or exercise interventions. ETHICS AND DISSEMINATION: This systematic review and network meta-analysis will synthesise evidence on the effect of different types of exercise interventions on HRQOL during and after cancer treatment. The results will be disseminated by publication in a peer-reviewed journal and through scientific conferences and symposia. Ethical approval will not be required because the data used for this work will be exclusively extracted from published studies

Comparative effects of different types of exercise on health-related quality of life during and after active cancer treatment: A systematic review and network meta-analysis

Background: The positive influence of most types of exercise has been reported repeatedly, but what the most effective exercise approaches are for improving health-related quality of life (HRQoL) in people with cancer remains unknown. The aim of this systematic review and network meta-analysis was to synthesize the evidence from intervention studies to assess the effects of different types of exercise on HRQoL during and after cancer treatment. Methods: MEDLINE, SPORTDiscus, the Cochrane Library, Web of Science, and Scopus were searched for randomized controlled trials aimed at testing the effects of exercise interventions meant to improve HRQoL in people with cancer. Separate analyses were conducted for HRQoL as measured by general and cancer-specific questionnaires. We also evaluated whether the effects of exercise were different during and after cancer treatment in both the physical and mental HRQoL domains. Results: In total, 93 studies involving 7435 people with cancer were included. Network effect size estimates comparing exercise intervention vs. usual care were significant for combined exercise (0.35, 95% confidence interval (95%CI): 0.14-0.56) for HRQoL as measured by general questionnaires, and for combined (0.31, 95%CI: 0.13-0.48), mind-body exercise (0.54, 95%CI: 0.18-0.89), and walking (0.39, 95%CI: 0.04-0.74) for HRQoL as measured by cancer-specific questionnaires. Conclusion: Exercise programs combining aerobic and resistance training can be recommended to improve HRQoL during and after cancer treatment. The scarcity and heterogeneity of these studies prevents us from making recommendations about other exercise modalities due to insufficient evidence.European Regional Development FundConsejería de Educación, Cultura y Deportes-JCCMFondo Europeo de Desarrollo Regional funds (grant no. SBPLY/17/180501/000533)Grant from the University of Castilla-La Mancha (2020-PREDUCLM-15596)Grant from the Universidad de Castilla-La Mancha co-financed by the European Social Fund (2020-PREDUCLM-16746

Effect of Behavioral Weight Management Interventions Using Lifestyle mHealth Self‐Monitoring on Weight Loss: A Systematic Review and Meta‐Analysis

Alongside an increase in obesity, society is experiencing the development of substantial technological advances. Interventions that are easily scalable, such as lifestyle (including diet and physical activity) mobile health (mHealth) self‐monitoring, may be highly valuable in the prevention and treatment of excess weight. Thus, the aims of this systematic review and meta‐ analysis were to estimate the following: (i) the effect of behavioral weight management interventions using lifestyle mHealth self‐monitoring on weight loss and (ii) the adherence to behavioral weight management interventions using lifestyle mHealth self‐monitoring. MEDLINE via PubMed, EMBASE, the Cochrane Central Register of Controlled Trials and the Web of Science databases were systematically searched. The DerSimonian and Laird method was used to estimate the effect of and adherence to behavioral weight management interventions using lifestyle mHealth self‐monitoring on weight loss. Twenty studies were included in the systematic review and meta‐ analysis, yielding a moderate decrease in weight and higher adherence to intervention of behavioral weight management interventions using lifestyle mHealth self‐monitoring, which was greater than other interventions. Subgroup analyses showed that smartphones were the most effective mHealth approach to achieve weight management and the effect of behavioral weight management interventions using lifestyle mHealth self‐monitoring was more pronounced when compared to usual care and in the short‐term (less than six months). Furthermore, behavioral weight management interventions using lifestyle mHealth self‐monitoring showed a higher adherence than: (i) recording on paper at any time and (ii) any other intervention at six and twelve months

Effect of different types of exercise on fitness in people with multiple sclerosis: a network meta-analysis

© 2023 The Authors. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Published version of a Published Work that appeared in final form in Scandinavian Journal of Medicine & Science in Sports. To access the final edited and published work see https://doi.org/10.1111/sms.14407Background: It is assumed that people with multiple sclerosis (MS) who participate in programs of physical exercise improve their physical fitness. Objective: The aim of this network meta-analysis (NMA) was to analyze the effect of different types of exercise on muscular fitness and cardiorespiratory fitness (CRF) among people with MS and to determine the best type of exercise according to disease severity. Methods: MEDLINE, the Physiotherapy Evidence Database, the Cochrane Library, SPORTDiscus, Scopus, and Web of Science were searched from inception to April 2022 to identify randomized controlled trials (RCTs) concerning the effect of physical exercise on fitness in people with MS. We ranked the types of physical exercise by calculating the surface under the cumulative ranking (SUCRA). Results: We included 72 RCTs involving 2543 MS patients in this NMA. A ranking of five types of physical exercise (aerobic, resistance, combined [aerobic and resistance], sensorimotor training, and mind–body exercises) was achieved. Combined and resistance training had the highest effect sizes (0.94, 95% CI 0.47, 1.41, and 0.93, 95% CI 0.57, 1.29, respectively) and the highest SUCRA (86.2% and 87.0%, respectively) for muscular fitness. The highest effect size (0.66, 95% CI 0.34, 0.99) and SUCRA (86.9%) for CRF was for aerobic exercise. Conclusions: Combined and resistance training seem to be the most effective exercises to improve muscular fitness and aerobic exercise for CRF in people with MS