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.

10.1093/bjs/znab101 http://scihub22266oqcxt.onion/10.1093/bjs/znab101 33761533!7995808!33761533     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 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 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Br+J+Surg 2021 ; 108 (9): 1056-1063 Nephropedia Template TP {{tp|p=33761533|t=2021. SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study |pdf=|usr=}}{{33761533}} gab.com Text SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study JO: Br J Surg http://www.kidney.de/pget.php?&tw=1&pmid=33761533 #FOAvip BACKGROUND: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. METHODS: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. RESULTS: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. CONCLUSION: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population. Twit Text FOAVip SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study ????Br J Surg http://www.kidney.de/pget.php?&tw=1&pmid=33761533 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33761533 #FOAvip English Wikipedia <ref>{{Cite pmid|33761533}}</ref> SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study #MMPMID33761533 ä Br J Surg 2021[Sep]; 108 (9): 1056-1063 PMID33761533show ga BACKGROUND: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. METHODS: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. RESULTS: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. CONCLUSION: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population. |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |COVID-19 Vaccines/*pharmacology[MESH] |COVID-19/epidemiology/*prevention & control[MESH] |Comorbidity[MESH] |Elective Surgical Procedures/*methods[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Postoperative Complications/*prevention & control[MESH] |Preoperative Period[MESH] |Prospective Studies[MESH] |SARS-CoV-2/*immunology[MESH] |Vaccination/*methods[MESH]SARS-CoV-2 vaccination modelling for safe surgery to save lives: data (epmc).pdf DeepDyve Pubget Overpricing