Alirocumab in a high cardiovascular risk patient on hemodialysis with liver abnormalities
Bibliographic record
Abstract
We present a male diabetic type 2 patient on hemodialysis (HD) with high cardiovascular (CVD) risk and hyperlipidemia. The patient was under cholesterol-lowering therapy with statin and ezetimibe but he was obligated to discontinue due to chronic hepatitis C virus infection. Statins and ezetimibe may exert a potential hepatotoxic effect and for this reason, we attempted to find an alternative treatment to prevent CVD. Given that a potential hepatotoxic effect has not been reported for Abs SPCK9, we administered alirocumab 150 mg every 2 weeks for a total of 8 weeks. Low-density lipoprotein levels have decreased and no side effects have been observed. In conclusion, alirocumab is a safe and efficient alternative therapy approach for HD patients with high CVD risk and liver abnormalities. We suggest that SPCK 9 inhibitors should be considered as a first line treatment for lowering cholesterol in this specific patient group.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".