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  • 1
    Online Resource
    Online Resource
    Association of diet with the onset of natural menopause: a systematic review and meta-analysis
    Elsevier BV ; 2021
    In:  Maturitas Vol. 152 ( 2021-10), p. 80-81
    Details
    In: Maturitas, Elsevier BV, Vol. 152 ( 2021-10), p. 80-81
    Type of Medium: Online Resource
    ISSN: 0378-5122
    URL: Article
    DOI: 10.1016/j.maturitas.2021.08.043
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2008054-2
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  • 2
    Online Resource
    Online Resource
    Anemia and iron metabolism in COVID-19: a systematic review and meta-analysis
    Springer Science and Business Media LLC ; 2020
    In:  European Journal of Epidemiology Vol. 35, No. 8 ( 2020-08), p. 763-773
    Details
    In: European Journal of Epidemiology, Springer Science and Business Media LLC, Vol. 35, No. 8 ( 2020-08), p. 763-773
    Abstract: Iron metabolism and anemia may play an important role in multiple organ dysfunction syndrome in Coronavirus disease 2019 (COVID-19). We conducted a systematic review and meta-analysis to evaluate biomarkers of anemia and iron metabolism (hemoglobin, ferritin, transferrin, soluble transferrin receptor, hepcidin, haptoglobin, unsaturated iron-binding capacity, erythropoietin, free erythrocyte protoporphyrine, and erythrocyte indices) in patients diagnosed with COVID-19, and explored their prognostic value. Six bibliographic databases were searched up to August 3rd 2020. We included 189 unique studies, with data from 57,563 COVID-19 patients. Pooled mean hemoglobin and ferritin levels in COVID-19 patients across all ages were 129.7 g/L (95% Confidence Interval (CI), 128.51; 130.88) and 777.33 ng/mL (95% CI, 701.33; 852.77), respectively. Hemoglobin levels were lower with older age, higher percentage of subjects with diabetes, hypertension and overall comorbidities, and admitted to intensive care. Ferritin level increased with older age, increasing proportion of hypertensive study participants, and increasing proportion of mortality. Compared to moderate cases, severe COVID-19 cases had lower hemoglobin [weighted mean difference (WMD), − 4.08 g/L (95% CI − 5.12; − 3.05)] and red blood cell count [WMD, − 0.16 × 10 12 /L (95% CI − 0.31; − 0.014)], and higher ferritin [WMD, − 473.25 ng/mL (95% CI 382.52; 563.98)] and red cell distribution width [WMD, 1.82% (95% CI 0.10; 3.55)]. A significant difference in mean ferritin levels of 606.37 ng/mL (95% CI 461.86; 750.88) was found between survivors and non-survivors, but not in hemoglobin levels. Future studies should explore the impact of iron metabolism and anemia in the pathophysiology, prognosis, and treatment of COVID-19.
    Type of Medium: Online Resource
    ISSN: 0393-2990 , 1573-7284
    URL: Article
    DOI: 10.1007/s10654-020-00678-5
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2004992-4
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  • 3
    Online Resource
    Online Resource
    Association Between Ultra-Processed Food Intake and All-Cause Mortality: A Systematic Review and Meta-Analysis
    Oxford University Press (OUP) ; 2022
    In:  American Journal of Epidemiology Vol. 191, No. 7 ( 2022-06-27), p. 1323-1335
    Details
    In: American Journal of Epidemiology, Oxford University Press (OUP), Vol. 191, No. 7 ( 2022-06-27), p. 1323-1335
    Abstract: Consumption of ultra-processed foods (UPF) has increased worldwide during the last decades because they are hyperpalatable, cheap, and ready-to-consume products. However, uncertainty exists about their impact on health. We conducted a systematic review and meta-analysis evaluating the association of UPF consumption with all-cause mortality risk. Five bibliographic databases were searched for relevant studies. Random effects models were used to calculate pooled relative risks (RRs) and 95% confidence intervals (CIs). Of 6,951 unique citations, 40 unique prospective cohort studies comprising 5,750,133 individuals were included; publication dates ranged from 1984 to 2021. Compared with low consumption, highest consumption of UPF (RR = 1.29, 95% CI: 1.17, 1.42), sugar-sweetened beverages (RR = 1.11, 95% CI, 1.04, 1.18), artificially sweetened beverages (RR = 1.14, 95% CI, 1.05, 1.22), and processed meat/red meat (RR = 1.15, 95% CI, 1.10, 1.21) were significantly associated with increased risk of mortality. However, breakfast cereals were associated with a lower mortality risk (RR = 0.85, 95% CI, 0.79, 0.92). This meta-analysis suggests that high consumption of UPF, sugar-sweetened beverages, artificially sweetened beverages, processed meat, and processed red meat might increase all-cause mortality, while breakfast cereals might decrease it. Future studies are needed to address lack of standardized methods in UPF categorization.
    Type of Medium: Online Resource
    ISSN: 0002-9262 , 1476-6256
    URL: Article
    DOI: 10.1093/aje/kwac039
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2030043-8
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  • 4
    Online Resource
    Online Resource
    Dietary Factors and Modulation of Bacteria Strains of Akkermansia muciniphila and Faecalibacterium prausnitzii: A Systematic Review
    MDPI AG ; 2019
    In:  Nutrients Vol. 11, No. 7 ( 2019-07-11), p. 1565-
    Details
    In: Nutrients, MDPI AG, Vol. 11, No. 7 ( 2019-07-11), p. 1565-
    Abstract: Akkermansia muciniphila and Faecalibacterium prausnitzii are highly abundant human gut microbes in healthy individuals, and reduced levels are associated with inflammation and alterations of metabolic processes involved in the development of type 2 diabetes. Dietary factors can influence the abundance of A. muciniphila and F. prausnitzii, but the evidence is not clear. We systematically searched PubMed and Embase to identify clinical trials investigating any dietary intervention in relation to A. muciniphila and F. prausnitzii. Overall, 29 unique trials were included, of which five examined A. muciniphila, 19 examined F. prausnitzii, and six examined both, in a total of 1444 participants. A caloric restriction diet and supplementation with pomegranate extract, resveratrol, polydextrose, yeast fermentate, sodium butyrate, and inulin increased the abundance of A. muciniphila, while a diet low in fermentable oligosaccharides, disaccharides, monosaccharides, and polyols decreased the abundance of A. muciniphila. For F. prausnitzii, the main studied intervention was prebiotics (e.g. fructo-oligosaccharides, inulin type fructans, raffinose); seven studies reported an increase after prebiotic intervention, while two studies reported a decrease, and four studies reported no difference. Current evidence suggests that some dietary factors may influence the abundance of A. muciniphila and F. prausnitzii. However, more research is needed to support these microflora strains as targets of microbiome shifts with dietary intervention and their use as medical nutrition therapy in prevention and management of chronic disease.
    Type of Medium: Online Resource
    ISSN: 2072-6643
    URL: Article
    DOI: 10.3390/nu11071565
    Language: English
    Publisher: MDPI AG
    Publication Date: 2019
    detail.hit.zdb_id: 2518386-2
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  • 5
    Online Resource
    Online Resource
    DataSheet1.docx
    Frontiers Media SA ; 2023
    In:  Public Health Reviews Vol. 44 ( 2023-5-16)
    Details
    In: Public Health Reviews, Frontiers Media SA, Vol. 44 ( 2023-5-16)
    Abstract: Objectives: To provide a step-by-step, easy-to-understand, practical guide for systematic review and meta-analysis of observational studies. Methods: A multidisciplinary team of researchers with extensive experience in observational studies and systematic review and meta-analysis was established. Previous guidelines in evidence synthesis were considered. Results: There is inherent variability in observational study design, population, and analysis, making evidence synthesis challenging. We provided a framework and discussed basic meta-analysis concepts to assist reviewers in making informed decisions. We also explained several statistical tools for dealing with heterogeneity, probing for bias, and interpreting findings. Finally, we briefly discussed issues and caveats for translating results into clinical and public health recommendations. Our guideline complements “A 24-step guide on how to design, conduct, and successfully publish a systematic review and meta-analysis in medical research” and addresses peculiarities for observational studies previously unexplored. Conclusion: We provided 7 steps to synthesize evidence from observational studies. We encourage medical and public health practitioners who answer important questions to systematically integrate evidence from observational studies and contribute evidence-based decision-making in health sciences.
    Type of Medium: Online Resource
    ISSN: 2107-6952
    URL: Article
    URL: Article
    DOI: 10.3389/phrs.2023.1605454
    DOI: 10.3389/phrs.2023.1605454.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2653473-3
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  • 6
    Online Resource
    Online Resource
    Buckwheat and Cardiometabolic Health: A Systematic Review and Meta-Analysis
    MDPI AG ; 2022
    In:  Journal of Personalized Medicine Vol. 12, No. 12 ( 2022-11-22), p. 1940-
    Details
    In: Journal of Personalized Medicine, MDPI AG, Vol. 12, No. 12 ( 2022-11-22), p. 1940-
    Abstract: Buckwheat (BW) is suggested to have beneficial effects, but evidence on how it affects cardiometabolic health (CMH) is not yet established. We aimed to assess the effects of BW and/or its related bioactive compounds on cardiovascular disease (CVD) risk markers in adults. Five databases were searched for eligible studies. Observational prospective studies, nonrandomized or randomized trials were considered if they assessed BW, rutin or quercetin-3-glucoside intake and CVD risk markers. We adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for reporting. We selected 16 human studies based on 831 subjects with mild metabolic disturbances, such as hypercholesterolemia, diabetes and/or overweight. Eight studies, investigating primarily grain components, were included in the meta-analyses (n = 464). High study heterogeneity was present across most of our analyses. Weighted mean difference (WMD) for subjects receiving BW supplementation, compared to controls, were − 0.14 mmol/L (95% CI: −0.30; 0.02) for total cholesterol (TC), −0.03 mmol/L (95% CI: −0.22; 0.16) for LDL cholesterol, −0.14 kg (95% CI: −1.50; 1.22) for body weight, −0.04 mmol/L (95% CI: − 0.09;0.02) for HDL cholesterol, −0.02 mmol/L (95% CI: −0.15; 0.11) for triglycerides and −0.18 mmol/L (95% CI: −0.36; 0.003) for glucose. Most of the studies (66.7%) had concerns of risk of bias. Studies investigating other CVD markers were scarce and with inconsistent findings, where available. Evidence on how BW affects CMH is limited. However, the available literature indicates that BW supplementation in mild dyslipidaemia and type 2 diabetes may provide some benefit in lowering TC and glucose, albeit non-significant. Our work highlights the need for more rigorous trials, with better methodological rigor to clarify remaining uncertainties on potential effects of BW on CMH and its utility in clinical nutrition practice.
    Type of Medium: Online Resource
    ISSN: 2075-4426
    URL: Article
    DOI: 10.3390/jpm12121940
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2662248-8
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  • 7
    Online Resource
    Online Resource
    Risk Prediction Models of Natural Menopause Onset: A Systematic Review
    The Endocrine Society ; 2022
    In:  The Journal of Clinical Endocrinology & Metabolism Vol. 107, No. 10 ( 2022-09-28), p. 2934-2944
    Details
    In: The Journal of Clinical Endocrinology & Metabolism, The Endocrine Society, Vol. 107, No. 10 ( 2022-09-28), p. 2934-2944
    Abstract: Predicting the onset of menopause is important for family planning and to ensure prompt intervention in women at risk of developing menopause-related diseases. Objective We aimed to summarize risk prediction models of natural menopause onset and their performance. Methods Five bibliographic databases were searched up to March 2022. We included prospective studies on perimenopausal women or women in menopausal transition that reported either a univariable or multivariable model for risk prediction of natural menopause onset. Two authors independently extracted data according to the CHARMS (critical appraisal and data extraction for systematic reviews of prediction modelling studies) checklist. Risk of bias was assessed using a prediction model risk of bias assessment tool (PROBAST). Results Of 8132 references identified, we included 14 articles based on 8 unique studies comprising 9588 women (mainly Caucasian) and 3289 natural menopause events. All included studies used onset of natural menopause (ONM) as outcome, while 4 studies also predicted early ONM. Overall, there were 180 risk prediction models investigated, with age, anti-Müllerian hormone, and follicle-stimulating hormone being the most investigated predictors. Estimated C-statistic for the prediction models ranged from 0.62 to 0.95. Although all studies were rated at high risk of bias mainly due to the methodological concerns related to the statistical analysis, their applicability was satisfactory. Conclusion Predictive performance and generalizability of current prediction models on ONM is limited given that these models were generated from studies at high risk of bias and from specific populations/ethnicities. Although in certain settings such models may be useful, efforts to improve their performance are needed as use becomes more widespread.
    Type of Medium: Online Resource
    ISSN: 0021-972X , 1945-7197
    URL: Article
    DOI: 10.1210/clinem/dgac461
    RVK:
    XA 10000
    Language: English
    Publisher: The Endocrine Society
    Publication Date: 2022
    detail.hit.zdb_id: 2026217-6
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