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001-es BibID:	BIBFORM109087
035-os BibID:	(WoS)000939624800001 (Scopus)85149044317
Első szerző:	Buttia, Chepkoech
Cím:	Prognostic models in COVID-19 infection that predict severity : a systematic review / Buttia Chepkoech, Llanaj Erand, Raeisi-Dehkordi Hamidreza, Kastrati Lum, Amiri Mojgan, Meçani Renald, Taneri Petek Eylul, Ochoa Sergio Alejandro Gómez, Raguindin Peter Francis, Wehrli Faina, Khatami Farnaz, Espínola Octavio Pano, Rojas Lyda Z., de Mortanges Aurélie Pahud, Macharia-Nimietz Eric Francis, Alijla Fadi, Minder Beatrice, Leichtle Alexander B., Lüthi Nora, Ehrhard Simone, Que Yok-Ai, Fernandes Laurenz Kopp, Hautz Wolf, Muka Taulant
Dátum:	2023
ISSN:	0393-2990
Megjegyzések:	Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability remains controversial. We per- formed a systematic review to summarize and critically appraise the available studies that have developed, assessed and/or validated prognostic models of COVID-19 predicting health outcomes. We searched six bibliographic databases to identify published articles that investigated univariable and multivariable prognostic models predicting adverse outcomes in adult COVID-19 patients, including intensive care unit (ICU) admission, intubation, high-flow nasal therapy (HFNT), extracor- poreal membrane oxygenation (ECMO) and mortality. We identified and assessed 314 eligible articles from more than 40 countries, with 152 of these studies presenting mortality, 66 progression to severe or critical illness, 35 mortality and ICU admission combined, 17 ICU admission only, while the remaining 44 studies reported prediction models for mechanical ventilation (MV) or a combination of multiple outcomes. The sample size of included studies varied from 11 to 7,704,171 participants, with a mean age ranging from 18 to 93 years. There were 353 prognostic models investigated, with area under the curve (AUC) ranging from 0.44 to 0.99. A great proportion of studies (61.5%, 193 out of 314) performed internal or external validation or replication. In 312 (99.4%) studies, prognostic models were reported to be at high risk of bias due to uncertainties and challenges surrounding methodological rigor, sampling, handling of missing data, failure to deal with overfitting and heterogeneous definitions of COVID-19 and severity outcomes. While several clinical prognostic models for COVID-19 have been described in the literature, they are limited in generalizability and/or applicability due to deficiencies in addressing fundamental statistical and methodological concerns. Future large, multi-centric and well-designed prognostic prospective studies are needed to clarify remaining uncertainties.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk COVID-19 Prediction models Mortality ICU Systematic review Biomarkers
Megjelenés:	European Journal Of Epidemiology. - 38 : 4 (2023), p. 355-372. -
További szerzők:	Llanaj, Erand (1988-) (táplálkozási epidemiológus) Raeisi-Dehkordi, Hamidreza Kastrati, Lum Amiri, Mojgan Meçani, Renald Taneri, Petek Eylul Ochoa, Sergio Alejandro Gómez Raguindin, Peter Francis Wehrli, Faina Khatami, Farnaz Espínola, Octavio Pano Rojas, Lyda Z. de Mortanges, Aurélie Pahud Macharia-Nimietz, Eric Francis Alijla, Fadi Minder, Beatrice Leichtle, Alexander B. Lüthi, Nora Ehrhard, Simone Que, Yok-Ai Fernandes, Laurenz Kopp Hautz, Wolf E. Muka, Taulant
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM105439
035-os BibID:	(cikkazonosító)1940 (WoS)000902645500001 (Scopus)85144728705
Első szerző:	Llanaj, Erand (táplálkozási epidemiológus)
Cím:	Buckwheat and Cardiometabolic Health : a Systematic Review and Meta-Analysis / Llanaj Erand, Ahanchi Noushin Sadat, Dizdari Helga, Taneri Petek Eylul, Niehot Christa D., Wehrli Faina, Khatami Farnaz, Raeisi-Dehkordi Hamidreza, Kastrati Lum, Bano Arjola, Glisic Marija, Muka Taulant
Dátum:	2022
ISSN:	2075-4426
Megjegyzések:	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.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Journal of Personalized Medicine. - 12 : 12 (2022), p. 1-19. -
További szerzők:	Ahanchi, Noushin Sadat Dizdari, Helga Taneri, Petek Eylul Niehot, Christa D. Wehrli, Faina Khatami, Farnaz Raeisi-Dehkordi, Hamidreza Kastrati, Lum Bano, Arjola Glisic, Marija Muka, Taulant
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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