Post-transplant venous thromboembolic events and their effect on graft survival
Bibliographic record
Abstract
Venous thromboembolic events (VTEs) are a major cause of post-operative morbidity and mortality. Our objective is to establish the prevalence of VTEs in kidney transplant recipients and assess its impact on graft survival. Data regarding renal transplant patients with VTEs from 1985 to 2010 were identified and analyzed. After excluding recipients of combined grafts and late VTE development, 1596 recipients were included in this analysis. The prevalence of post-operative VTEs and graft survival were determined. Cox regression was used to analyze the survival data and data on prognostic (confounding) variables. The observed prevalence of VTEs in kidney transplant recipients was 1.6%. Of the 1596 kidney recipients, 25 recipients who developed VTEs had a mean graft survival of 12.3 years (compared with 20.5 years in patients without). The hazard ratio was 1.1 (95% confidence interval: 0.4-3.0, P = 0.447). The prevalence of VTEs post kidney transplantation is small. Although it did not reach statistical significance, it increased the risk of graft failure by 30%.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".