Stability of lipids on peritoneal dialysis in a patient with familial LCAT deficiency
Bibliographic record
Abstract
A 37-year-old man of northern European descent with familial lecithin:cholesterol acyltransferase (LCAT) deficiency started peritoneal dialysis (PD) one year ago, for end-stage renal failure. Proteinuria and an abnormal lipid profile were first noted in his early 20s. At the age of 29, he suffered an alkali burn to his right eye. When assessed by an ophthalmologist, diffuse lipid deposition in the corneas with accentuated arcus and preservation of his visual acuity were noted. At the age of 30 (in 1999), the following clinical findings were observed at nephrology and lipid specialist appointments: blood pressure 140/80, weight 112 kg (BMI 33), and marked arcus cornealis bilaterally. He was anaemic (haemoglobin 11.4g/dl), but had preserved renal function. Urinalysis revealed proteinuria and microhaematuria. A 24-h urine collection showed nephrotic range proteinuria at 6 g/day. His total cholesterol (TC) was 270 mg/dl (6.99 mmol/l), triglycerides (TG) 946 mg/dl (10.68 mmol/l) and HDL-C 15 mg/dl (0.38 mmol/l).
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".