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Record W1585321597 · doi:10.1002/hep.510310337

Update of the International Banff Schema for liver allograft rejection: Working recommendations for the histopathologic staging and reporting of chronic rejection

2000· article· en· W1585321597 on OpenAlexaff
Anthony J. Demetris, David Adams, Christopher Bellamy, Karin Blakolmer, Andrew D. Clouston, Amar P. Dhillon, John J. Fung, Annette S.H. Gouw, Bengt Gustafsson, Hironori Haga, David J. Harrison, John Hart, Stefan G. Hübscher, Ron Jaffe, Urmila Khettry, Charles Lassman, Klaus J. Lewin, Olivia M. Martinez, Yūichi Nakazawa, Desley Neil, Orit Pappo, Maria Parizhskaya, Parmjeet Randhawa, Susanne Rasoul‐Rockenschaub, Finn P. Reinholt, M Reynès, Marie Robert, Athanassios C. Tsamandas, Ian M. Wanless, Russell H. Wiesner, Annika Wernerson, Fritz Wrba, Judy Wyatt, Hirohiko Yamabe

Bibliographic record

VenueHepatology · 2000
Typearticle
Languageen
FieldMedicine
TopicOrgan Transplantation Techniques and Outcomes
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsSchema (genetic algorithms)CitationComputer scienceMedicineGastroenterologyPathologyInformation retrievalWorld Wide Web

Abstract

fetched live from OpenAlex

In contrast with other vascularized allografts, chronic liver allograft rejection is uncommon.Over the last two decades, the incidence at 5 years after transplantation has decreased from 15% to 20% in the 1980s to an expected incidence of 3% to 5% in current liver allograft recipients. 1 This is likely attributable to the unique immunologic properties of a liver allograft, better recognition and control of acute and the early phases of chronic rejection (CR), and the remarkable regenerative capabilities of the liver.[2][3][4][5][6][7][8][9][10][11] Nevertheless, CR is still an important cause of late liver allograft dysfunction and failure.[12][13][14][15][16] And from a practical perspective, proper recognition and staging of CR is essential for long-term patient management, because toxic side effects of long-term immunosuppression force clinicians to significantly lower or discontinue immunosuppression.[17][18][19][20] Moreover, given the inevitable decline in kidney and heart allograft structure and function because of CR, study of the relatively low incidence of CR in liver allografts, and the ability of the liver to recover from CR, will likely lead to valuable insights into transplantation immunobiology in general.In a previous consensus publication by the Banff Working Group, 21 the panel constructed a working schema for grading acute liver allograft rejection, which has subsequently proven to be simple, reliable, clinically relevant and scientifically correct.22,23 It is used to grade the necroinflammatory activity of acute rejection that is potentially amenable to therapeutic intervention.At the 5th Banff Conference on Allograft Pathology in 1999, the main goal of the liver sessions was to identify the various stages in the evolution of CR, with the specific aim of addressing two main questions: (1) Can histopathologic features be identified at an early stage of CR, which if left untreated, are predictive of progression to graft failure?This has important clinical implications, because such cases may still be potentially reversible with the use of additional immunosuppression; and (2) Can histopathologic features be used to indicate that irreversible graft damage has occurred?This question also has obvious important clinical implications, because such cases are likely to be unresponsive to additional immunosuppression and depending on the complete clinicopathological profile, may require relisting for retransplantation.An important related issue is whether there are atypical patterns of chronic liver allograft rejection, which appear very similar or identical to chronic hepatitis and lead to cirrhosis, in contrast with the more commonly recognized pattern of CR. MATERIALS AND METHODSDuring the two years since the 4th Banff Consensus conference in 1997, investigators from several large programs and the NIDDK liver transplant database, studied various aspects of chronic liver allograft rejection, including clinical and demographic factors 11,24,25 and histopathologic findings associated with the evolution [26][27][28] and/or reversal or progression to allograft failure.11,27,29 Abstracts of these works [25][26][27][28][29] can be viewed at: http://tpis.upmc.edu/tpis/Banff/1999/index.html#Subjectsand Titles.The findings from these studies were presented and discussed at the 5th Banff Conference.The working formulation and recommendations below, are based on these studies of more than 2,500 liver allograft recipients in more than 7 centers throughout the world, in combination with previous publications on CR and considerable combined clinical and pathological experience of the Banff Panel on Allograft Pathology. RESULTS Definition and Relationship to Acute Rejection.Chronic liver allograft rejection can be defined as an immunologic injury to the allograft, which usually evolves from severe or persistent acute rejection and results in potentially irreversible damage

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.074
metaresearch head score (Gemma)0.057
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score0.391

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0740.057
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0140.007
Science and technology studies0.0030.003
Scholarly communication0.0040.005
Open science0.0100.005
Research integrity0.0060.012
Insufficient payload (model declined to judge)0.0030.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.327
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
DomainReporting
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations541
Published2000
Admission routes1
Has abstractyes

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