MétaCan
Menu
Back to cohort

RENAL TRANSPLANT PROTOCOL BIOPSIES: A SURROGATE BIOMARKER FOR LATE GRAFT LOSS

2000· letter· en· W1981061572 on OpenAlexaboutno aff
Leendert C. Paul, Yvo W.J. Sijpkens

Bibliographic record

VenueTransplantation · 2000
Typeletter
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSurrogate endpointTransplantationBiomarkerClinical trialClinical study designInternal medicineDiseaseKidney transplantationSurgeryIntensive care medicine

Abstract

fetched live from OpenAlex

Protocol Renal Allograft Biopsies and the Design of Clinical Trials Aimed to Prevent or Treat Chronic Allograft Nephropathy. Transplantation 2000; 69: 1849. Serón D, Moreso F, Ramón JM, Hueso M, Condom E, Fulladosa X, Bover J, Gil-Vernet S, Castelao AM, Alsina J, and Grinyó JM. Surrogate biomarkers are sets of parameters of a disease or a disease activity that are used to prognosticate the long-term outcome or the response to therapy of that particular disease. Their use in clinical medicine is presently receiving much attention from government agencies, industry, and academia because they allow us to do clinical trials that require a much shorter follow-up period than the classical trials with a “real” biological end point. Of course, the disadvantage of the use of surrogate end points is that they are less robust. In renal transplantation, chronic rejection or chronic allograft nephropathy (CAN) is the most prevalent cause of graft dysfunction and graft loss in the first posttransplantation decade, for which there is no treatment. It is defined operationally as a gradual decline in function after the first 3 months in the absence of other obvious causes. Once the diagnosis has been made, the course is variable albeit that it results in graft failure in over 80% of cases. An early surrogate biomarker that predicts late failure is of obvious value for the design of intervention studies. In this issue, Dr Serón et al. report the Barcelona experience with posttransplantation protocol biopsies at 3 months as a marker for the 10-year outcome. Stable patients with a serum creatinine level of <300 μmol/L and less than 1 g of proteinuria/24 hr were included, and the biopsy specimen was categorized according to the Banff schedule. It is of note that the inclusion of patients with a serum creatinine level of <300 μmol/L represents almost the entire range of glomerular filtration rates expected in renal transplant patients. At 3 months, 38% of biopsy specimens had evidence of CAN, while 7.5% showed renal transplant vascular disease. This prevalence seems high, but in a set of pretransplantation biopsy specimens already 15% displayed histopathological features resembling CAN. The CAN lesions, rather than any acute rejection injury, correlated with long-term prognosis: patients with no CAN had a 10-year graft survival of 95.4% compared with 82.3% in patients with interstitial fibrosis and 41.3% in patients with both interstitial and vascular lesions. The authors calculated that a study powered to show a 50% reduction in the incidence of CAN at 3 months would require the enrollment of about 300 patients. This article corroborates other studies that have shown the association between CAN in protocol biopsy specimens and late prognosis. The Helsinki group demonstrated in a cohort of patients with more or less normal graft function at 2 years that the chronic allograft histological examination score was the single most important predictor of CAN and graft loss (1). Similarly, Dimény et al. (2) found that the 6-month chronic biopsy score correlated with graft function and loss at 2 or 3 years after transplantation. Other investigators focused on interstitial fibrosis and found a good correlation of an enlarged interstitial volume fraction at 6 months and impaired graft survival at 6 years, whereas the 1-month score was not useful (3). Although the Barcelona group showed a significant correlation between the 3-month score and prognosis, as did a study from Winnipeg (4), the 6-month biopsy may prove to be a more reliable marker. In addition to surveillance biopsies, the value of other biomarkers for long-term prognosis are currently under study and include the histopathologic pattern of early acute rejection episodes, the composition of the cellular infiltrate in such rejection biopsy specimens, patterns of changes in the glomerular filtration rate, and the urinary protein excretion profile as well as the expression pattern of intragraft cytokine or extracellular matrix genes. Although several individual markers may show a good correlation with late graft loss, it would seem that a combination of biomarkers will allow the most accurate prognostication. For example, in the Helsinki study, the combination of histological examination on surveillance biopsy specimens in combination with functional parameters gave a better prognostication than histological examination alone (1). Within the group of CAN, renal transplant vascular disease has the worst prognosis. To analyze the factors associated with CAN alone or in combination with transplant vascular disease, Dr Serón at al. performed a logistic regression analysis and found that donor age, cold ischemia time, acute rejection history, and mean cyclosporine levels predict CAN without renal transplant vascular disease, whereas the total serum cholesterol before transplantation was the only independent predictor of CAN with vascular lesions. However, it is likely that other factors than hypercholesterolemia also correlate with the development of transplant vascular disease. In our own material, we identified recipient age of less than 50 years, preceding vascular rejection episodes, proteinuria, and a serum creatinine level >150 μmol/L as independent risk factors for transplant vascular disease albeit that these factors also correlated with chronic interstitial lesions. On the other hand, significant risk factors for transplant glomerulopathy included proteinuria and poor sharing for cross-reactive HLA class I determinants (our unpublished data). Kupin et al. (5) reported that more black recipients, grafts from female donors, and preceding steroid-sensitive rejection episodes were associated with transplant glomerulopathy, whereas the degree of HLA mismatching was higher in patients with graft tubulointerstitial fibrosis. The suggestion that the risk factors for various forms of CAN are different has not received much attention but seems to imply that the pathogenesis of the various forms of CAN may be different. Only with the widespread introduction of surveillance biopsies and sophisticated analyses regarding patterns of gene expression in the various conditions will we be able to define appropriate surrogate markers for various forms of late graft loss.

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)0.197
metaresearch head score (Gemma)0.148
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.197
Threshold uncertainty score0.991

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1970.148
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.036
GPT teacher head0.323
Teacher spread0.287 · 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 designCase report
Domainnot available
GenreOther

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

Citations3
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueTransplantationSame topicRenal Transplantation Outcomes and TreatmentsFrench-language works237,207