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10.1183/13993003.02964-2020 http://scihub22266oqcxt.onion/10.1183/13993003.02964-2020 34172467!8576809!34172467     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34172467&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Eur+Respir+J 2022 ; 59 (2): ? Nephropedia Template TP {{tp|p=34172467|t=2022. Prognostic factors for adverse outcomes in patients with COVID-19: a field-wide systematic review and meta-analysis |pdf=|usr=}}{{34172467}} gab.com Text Prognostic factors for adverse outcomes in patients with COVID-19: a field-wide systematic review and meta-analysis JO: Eur Respir J http://www.kidney.de/pget.php?&tw=1&pmid=34172467 #FOAvip INTRODUCTION: The individual prognostic factors for coronavirus disease 2019 (COVID-19) are unclear. For this reason, we aimed to present a state-of-the-art systematic review and meta-analysis on the prognostic factors for adverse outcomes in COVID-19 patients. METHODS: We systematically reviewed PubMed from 1 January 2020 to 26 July 2020 to identify non-overlapping studies examining the association of any prognostic factor with any adverse outcome in patients with COVID-19. Random-effects meta-analysis was performed, and between-study heterogeneity was quantified using I(2) statistic. Presence of small-study effects was assessed by applying the Egger's regression test. RESULTS: We identified 428 eligible articles, which were used in a total of 263 meta-analyses examining the association of 91 unique prognostic factors with 11 outcomes. Angiotensin-converting enzyme inhibitors, obstructive sleep apnoea, pharyngalgia, history of venous thromboembolism, sex, coronary heart disease, cancer, chronic liver disease, COPD, dementia, any immunosuppressive medication, peripheral arterial disease, rheumatological disease and smoking were associated with at least one outcome and had >1000 events, p<0.005, I(2)<50%, 95% prediction interval excluding the null value, and absence of small-study effects in the respective meta-analysis. The risk of bias assessment using the Quality in Prognosis Studies tool indicated high risk of bias in 302 out of 428 articles for study participation, 389 articles for adjustment for other prognostic factors and 396 articles for statistical analysis and reporting. CONCLUSIONS: Our findings could be used for prognostic model building and guide patient selection for randomised clinical trials. Twit Text FOAVip Prognostic factors for adverse outcomes in patients with COVID-19: a field-wide systematic review and meta-analysis ????Eur Respir J http://www.kidney.de/pget.php?&tw=1&pmid=34172467 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34172467 #FOAvip English Wikipedia <ref>{{Cite pmid|34172467}}</ref> Prognostic factors for adverse outcomes in patients with COVID-19: a field-wide systematic review and meta-analysis #MMPMID34172467 Bellou V; Tzoulaki I; van Smeden M; Moons KGM; Evangelou E; Belbasis L Eur Respir J 2022[Feb]; 59 (2): ? PMID34172467show ga INTRODUCTION: The individual prognostic factors for coronavirus disease 2019 (COVID-19) are unclear. For this reason, we aimed to present a state-of-the-art systematic review and meta-analysis on the prognostic factors for adverse outcomes in COVID-19 patients. METHODS: We systematically reviewed PubMed from 1 January 2020 to 26 July 2020 to identify non-overlapping studies examining the association of any prognostic factor with any adverse outcome in patients with COVID-19. Random-effects meta-analysis was performed, and between-study heterogeneity was quantified using I(2) statistic. Presence of small-study effects was assessed by applying the Egger's regression test. RESULTS: We identified 428 eligible articles, which were used in a total of 263 meta-analyses examining the association of 91 unique prognostic factors with 11 outcomes. Angiotensin-converting enzyme inhibitors, obstructive sleep apnoea, pharyngalgia, history of venous thromboembolism, sex, coronary heart disease, cancer, chronic liver disease, COPD, dementia, any immunosuppressive medication, peripheral arterial disease, rheumatological disease and smoking were associated with at least one outcome and had >1000 events, p<0.005, I(2)<50%, 95% prediction interval excluding the null value, and absence of small-study effects in the respective meta-analysis. The risk of bias assessment using the Quality in Prognosis Studies tool indicated high risk of bias in 302 out of 428 articles for study participation, 389 articles for adjustment for other prognostic factors and 396 articles for statistical analysis and reporting. CONCLUSIONS: Our findings could be used for prognostic model building and guide patient selection for randomised clinical trials. |*COVID-19[MESH] |Bias[MESH] |Humans[MESH] |Prognosis[MESH]Prognostic factors for adverse outcomes in patients with COVID-19: a f(epmc).pdf DeepDyve Pubget Overpricing