Duration of dialysis pretransplantation is an important risk factor for delayed recovery of renal function following deceased donor kidney transplantation
Bibliographic record
Abstract
Delayed graft function (DGF) is a common problem in kidney transplantation and is associated with adverse graft outcomes and increased cost of care. The purpose of this study was to determine if the duration of dialysis increases the risk of DGF. All primary deceased donor renal transplants between January 2000 and December 2003 were identified in the Organ Procurement and Transplant Network database. Two separate definitions of DGF were used: dialysis in the first week post-transplant (DPT) and creatinine drop of < 25% in the first 24 h or slow graft function (SGF). The rate of DPT and SGF increased from 5.7% and 34.4%, respectively, for pre-emptively transplanted patients, to 32% and 49.9% for patients who had been on dialysis for 6 or more years. When compared to pre-emptive transplantation, increasing duration of dialysis increased the adjusted risk of both DPT and SGF (OR 6.64 (95% CI 5.49-8.03) and OR 1.76 (95% CI 1.56-2.00) for patients on dialysis for 6 or more years, for DPT and SGF, respectively. A strong association between duration of dialysis and DGF exists, and investigations into the mechanisms by which dialysis influences DGF may lead to useful interventions to limit this complication.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".