Poor correlation between coronary artery calcification and obstructive coronary artery disease in an end‐stage renal disease patient
Bibliographic record
Abstract
Vascular calcification is highly prevalent and often severe in patients with chronic kidney disease. Arterial calcification in patients with chronic kidney disease can result from the deposition of mineral along the intimal layer of arteries in conjunction with atheromatous plaques or from calcium deposition in the medial wall of arteries, also known as Monckeberg's sclerosis. Whether coronary artery calcium scores as measured by electron beam computed tomography correlate with occlusive atherosclerotic disease in the dialysis population is uncertain. Here we report a case of an asymptomatic patient with diabetes mellitus and end-stage renal disease undergoing maintenance hemodialysis, who was found to have extremely elevated coronary artery calcium scores on electron beam computed tomography, but varied degrees of atherosclerotic plaque in her coronary arteries on coronary angiography. This suggests that in addition to the calcification anticipated in a remodeled intima, a proportion of the calcification is also likely to be in the arterial media. Thus, this case demonstrates that even an extremely high coronary calcium score may not be a satisfactory surrogate marker for obstructive atherosclerosis in elderly diabetic dialysis patients.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".