A network meta-analysis of the efficacy of belatacept, cyclosporine and tacrolimus for immunosuppression therapy in adult renal transplant recipients
Bibliographic record
Abstract
Belatacept is a first in-class co-stimulation blocker developed for primary maintenance immunosuppression following renal transplantation. The objective of this study was to estimate the efficacy of belatacept relative to tacrolimus and cyclosporine among adults receiving a single kidney transplant. A systematic review was conducted of randomized clinical trials (RCTs) published between January 1990 and December 2013 using EMBASE, MEDLINE, the Cochrane Central Register of Controlled Trials, and unpublished study reports from two belatacept RCTs. Bayesian network meta-analysis (NMA) methods were used to compare the efficacy measures, mortality, graft loss, acute rejection and glomerular filtration rate (GFR). Heterogeneity was quantified using statistical metrics and potential sources were evaluated using meta-regression and subgroup analysis. A total of 28 RCTs comparing tacrolimus with cyclosporine, and three comparing belatacept with cyclosporine, were identified. All three agents provided comparable graft and patient survival, despite a higher risk of acute rejection associated with belatacept and cyclosporine. Belatacept was associated with significant improvement in GFR versus cyclosporine. Compared with tacrolimus, this difference was clinically meaningful yet statistically non-significant. The probability of being the best treatment was highest for belatacept for graft survival (68%), patient survival (97%) and renal function (89%), and highest for tacrolimus for acute rejection (99%).Variability in donor, recipient, and trial characteristics was present in the included RCTs; however, minimal statistical heterogeneity was detected in the analysis of acute rejection, graft or patient survival, and none of the characteristics were found to be significantly associated with relative effect. Although the direction of effect of immunosuppressants on GFR was consistent across RCTs, precise estimation of its magnitude was limited by a small number of RCTs and heterogeneity in relative effect sizes. Clinicians often seek an alternative to CNIs due to their nephrotoxic effects. The results of this indirect comparison indicate that belatacept is an effective immunosuppressive agent in renal transplantation among adults.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".