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10.1111/pai.13609 http://scihub22266oqcxt.onion/10.1111/pai.13609 34324742!ä!34324742 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34324742&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 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Pediatr+Allergy+Immunol 2022 ; 33 (1): e13609 Nephropedia Template TP {{tp|p=34324742|t=2022. Method s corner: Allergist s guide to network meta-analysis |pdf=|usr=}}{{34324742}} gab.com Text Method s corner: Allergist s guide to network meta-analysis JO: Pediatr Allergy Immunol http://www.kidney.de/pget.php?&tw=1&pmid=34324742 #FOAvip Network meta-analyses (NMAs) simultaneously estimate the effects of multiple possible treatment options for a given clinical presentation. For allergists to benefit optimally from NMAs, they must understand the process and be able to interpret the results. Through a worked example published in Pediatric Allergy and Immunology, we summarize how to identify credible NMAs and interpret them with a focus on recent innovations in the GRADE approach (Grading of Recommendations Assessment, Development, and Evaluation). NMAs build on traditional systematic reviews and meta-analyses that consider only direct paired comparisons by including indirect evidence, thus allowing the simultaneous assessment of the relative effect of all pairs of competing alternatives. Our framework informs clinicians of how to identify credible NMAs and address the certainty of the evidence. Trustworthy NMAs fill a critical gap in providing key inferences using direct and indirect evidence to inform clinical decision making when faced with more than two competing courses of treatment options. This document will help allergists to identify trustworthy NMAs to enhance patient care. Twit Text FOAVip Method s corner: Allergist s guide to network meta-analysis ????Pediatr Allergy Immunol http://www.kidney.de/pget.php?&tw=1&pmid=34324742 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34324742 #FOAvip English Wikipedia <ref>{{Cite pmid|34324742}}</ref> Method s corner: Allergist s guide to network meta-analysis #MMPMID34324742 Chu DK; Brignardello-Petersen R; Guyatt GH; Ricci C; Genuneit J Pediatr Allergy Immunol 2022[Jan]; 33 (1): e13609 PMID34324742show ga Network meta-analyses (NMAs) simultaneously estimate the effects of multiple possible treatment options for a given clinical presentation. For allergists to benefit optimally from NMAs, they must understand the process and be able to interpret the results. Through a worked example published in Pediatric Allergy and Immunology, we summarize how to identify credible NMAs and interpret them with a focus on recent innovations in the GRADE approach (Grading of Recommendations Assessment, Development, and Evaluation). NMAs build on traditional systematic reviews and meta-analyses that consider only direct paired comparisons by including indirect evidence, thus allowing the simultaneous assessment of the relative effect of all pairs of competing alternatives. Our framework informs clinicians of how to identify credible NMAs and address the certainty of the evidence. Trustworthy NMAs fill a critical gap in providing key inferences using direct and indirect evidence to inform clinical decision making when faced with more than two competing courses of treatment options. This document will help allergists to identify trustworthy NMAs to enhance patient care. |*Allergists[MESH] |*Clinical Decision-Making[MESH] |Child[MESH] |Humans[MESH]Method s corner: Allergist s guide to network meta-analysis (epmc).pdf DeepDyve Pubget Overpricing