Patlak plot analysis CT‐GFR for the determination of renal function: comparison of normal dogs with autologous kidney transplant dogs
Bibliographic record
Abstract
Glomerular filtration rate (GFR) can be determined using Patlak plot analysis with single-slice dynamic computed tomography (CT). Acute autologous graft failure has several causes, all of which induce a measurable decrease in glomerular filtration rate. This study demonstrated in an experimental model of canine autologous renal transplant that CT-derived renal plasma clearance was significantly lower (p = 0.002) in dogs having undergone transplant (0.077 +/- 0.058 ml min(-1) ml renal tissue(-1)) compared with control dogs (0.396 +/- 0.139 ml min(-1) ml renal tissue(-1)). A significant negative curvilinear relationship was seen between serum creatinine and total renal plasma clearance (R(2) = 0.84, p = 0.0001). Alterations in renal time attenuation curve shape in dogs having undergone transplant may have been related to increased renal vascular resistance related to tubular necrosis. CT-GFR may be a useful experimental tool in the evaluation of renal dysfunction in transplant models.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".