Literature DB >> 17848174

SWOT analysis of Banff: strengths, weaknesses, opportunities and threats of the international Banff consensus process and classification system for renal allograft pathology.

M Mengel1, B Sis, P F Halloran.   

Abstract

The Banff process defined the diagnostic histologic lesions for renal allograft rejection and created a standardized classification system where none had existed. By correcting this deficit the process had universal impact on clinical practice and clinical and basic research. All trials of new drugs since the early 1990s benefited, because the Banff classification of lesions permitted the end point of biopsy-proven rejection. The Banff process has strengths, weaknesses, opportunities and threats (SWOT). The strength is its self-organizing group structure to create consensus. Consensus does not mean correctness: defining consensus is essential if a widely held view is to be proved wrong. The weaknesses of the Banff process are the absence of an independent external standard to test the classification; and its almost exclusive reliance on histopathology, which has inherent limitations in intra- and interobserver reproducibility, particularly at the interface between borderline and rejection, is exactly where clinicians demand precision. The opportunity lies in the new technology such as transcriptomics, which can form an external standard and can be incorporated into a new classification combining the elegance of histopathology and the objectivity of transcriptomics. The threat is the degree to which the renal transplant community will participate in and support this process.

Mesh:

Year:  2007        PMID: 17848174     DOI: 10.1111/j.1600-6143.2007.01924.x

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  27 in total

1.  Intragraft levels of Foxp3 mRNA predict progression in renal transplants with borderline change.

Authors:  Hicham Mansour; Sébastien Homs; Dominique Desvaux; Cécile Badoual; Karine Dahan; Marie Matignon; Vincent Audard; Philippe Lang; Philippe Grimbert
Journal:  J Am Soc Nephrol       Date:  2008-07-30       Impact factor: 10.121

Review 2.  Integrative analysis of -omics data and histologic scoring in renal disease and transplantation: renal histogenomics.

Authors:  Paul Perco; Rainer Oberbauer
Journal:  Semin Nephrol       Date:  2010-09       Impact factor: 5.299

Review 3.  Mass spectrometry in chronic kidney disease research.

Authors:  Michael L Merchant
Journal:  Adv Chronic Kidney Dis       Date:  2010-11       Impact factor: 3.620

4.  Essential role of microRNA-650 in the regulation of B-cell CLL/lymphoma 11B gene expression following transplantation: A novel mechanism behind the acute rejection of renal allografts.

Authors:  Peng Jin; Hongxi Chen; Jinliang Xie; Cheng Zhou; Xiangrong Zhu
Journal:  Int J Mol Med       Date:  2017-10-17       Impact factor: 4.101

5.  Fibrosis with inflammation at one year predicts transplant functional decline.

Authors:  Walter D Park; Matthew D Griffin; Lynn D Cornell; Fernando G Cosio; Mark D Stegall
Journal:  J Am Soc Nephrol       Date:  2010-09-02       Impact factor: 10.121

6.  A method to reduce variability in scoring antibody-mediated rejection in renal allografts: implications for clinical trials - a retrospective study.

Authors:  Byron Smith; Lynn D Cornell; Maxwell Smith; Cherise Cortese; Xochiquetzal Geiger; Mariam P Alexander; Margaret Ryan; Walter Park; Martha Catalina Morales Alvarez; Carrie Schinstock; Walter Kremers; Mark Stegall
Journal:  Transpl Int       Date:  2018-10-02       Impact factor: 3.782

7.  Banff Initiative for Quality Assurance in Transplantation (BIFQUIT): reproducibility of polyomavirus immunohistochemistry in kidney allografts.

Authors:  B Adam; P Randhawa; S Chan; G Zeng; H Regele; Y B Kushner; R B Colvin; J Reeve; M Mengel
Journal:  Am J Transplant       Date:  2014-08-04       Impact factor: 8.086

8.  The evolution of the Banff classification schema for diagnosing renal allograft rejection and its implications for clinicians.

Authors:  D M Bhowmik; A K Dinda; P Mahanta; S K Agarwal
Journal:  Indian J Nephrol       Date:  2010-01

9.  Molecular classifiers for acute kidney transplant rejection in peripheral blood by whole genome gene expression profiling.

Authors:  S M Kurian; A N Williams; T Gelbart; D Campbell; T S Mondala; S R Head; S Horvath; L Gaber; R Thompson; T Whisenant; W Lin; P Langfelder; E H Robison; R L Schaffer; J S Fisher; J Friedewald; S M Flechner; L K Chan; A C Wiseman; H Shidban; R Mendez; R Heilman; M M Abecassis; C L Marsh; D R Salomon
Journal:  Am J Transplant       Date:  2014-04-11       Impact factor: 8.086

Review 10.  Chronic allograft nephropathy.

Authors:  Jeffery T Fletcher; Brian J Nankivell; Stephen I Alexander
Journal:  Pediatr Nephrol       Date:  2008-06-27       Impact factor: 3.714

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