Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.3389/fmed.2020.00294 http://scihub22266oqcxt.onion/10.3389/fmed.2020.00294 32613004!7308420!32613004     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Med+(Lausanne) 2020 ; 7 (ä): 294 Nephropedia Template TP {{tp|p=32613004|t=2020. Strategy for Disease Diagnosis, Progression Prediction, Risk Group Stratification and Treatment-Case of COVID-19 |pdf=|usr=}}{{32613004}} gab.com Text Strategy for Disease Diagnosis, Progression Prediction, Risk Group Stratification and Treatment-Case of COVID-19 JO: Front Med (Lausanne) http://www.kidney.de/pget.php?&tw=1&pmid=32613004 #FOAvip A novel strategy is presented for reliable diagnosis and progression prediction of diseases with special attention to COVID-19 pandemic. A plan is presented for how the model can be implemented worldwide in healthcare and how novel treatments and targets can be detected. The idea is based on poikilosis, pervasive heterogeneity, and variation at all levels, systems, and mechanisms. Poikilosis in diseases can be taken into account in pathogenicity model, which is based on distribution of three independent condition measures-extent, modulation, and severity. Pathogenicity model is a population or cohort-based description of disease components. Evidence-based thresholds can be applied to the pathogenicity model and used for diagnosis as well as for early detection of patients in risk of developing the most severe forms of the disease. Analysis of patients with differential course of disease can help in detecting biomarkers of diagnostic and prognostic significance. A practical and feasible plan is presented how the concepts can be implemented in practice. Collaboration of many actors, including the World Health Organization and national health authorities, will be essential for success. Twit Text FOAVip Strategy for Disease Diagnosis, Progression Prediction, Risk Group Stratification and Treatment-Case of COVID-19 ????Front Med (Lausanne) http://www.kidney.de/pget.php?&tw=1&pmid=32613004 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32613004 #FOAvip English Wikipedia <ref>{{Cite pmid|32613004}}</ref> Strategy for Disease Diagnosis, Progression Prediction, Risk Group Stratification and Treatment-Case of COVID-19 #MMPMID32613004 Vihinen M Front Med (Lausanne) 2020[]; 7 (ä): 294 PMID32613004show ga A novel strategy is presented for reliable diagnosis and progression prediction of diseases with special attention to COVID-19 pandemic. A plan is presented for how the model can be implemented worldwide in healthcare and how novel treatments and targets can be detected. The idea is based on poikilosis, pervasive heterogeneity, and variation at all levels, systems, and mechanisms. Poikilosis in diseases can be taken into account in pathogenicity model, which is based on distribution of three independent condition measures-extent, modulation, and severity. Pathogenicity model is a population or cohort-based description of disease components. Evidence-based thresholds can be applied to the pathogenicity model and used for diagnosis as well as for early detection of patients in risk of developing the most severe forms of the disease. Analysis of patients with differential course of disease can help in detecting biomarkers of diagnostic and prognostic significance. A practical and feasible plan is presented how the concepts can be implemented in practice. Collaboration of many actors, including the World Health Organization and national health authorities, will be essential for success. äStrategy for Disease Diagnosis, Progression Prediction, Risk Group Str(epmc).pdf DeepDyve Pubget Overpricing