Bibliographic record
Abstract
Non-alcoholic fatty liver disease (NAFLD) commonly causes an increase in the transaminase levels with the underlying problems, including diabetes, obesity, or both. NAFLD patients are often at an increased risk of cardiovascular events globally, representing a leading cause of death. Therefore, this study aims to review present evidence regarding the utilization of statin in NAFLD patients and discuss the effects of these agents on liver histology and cardiovascular disease. We comprehensively reviewed the current evidence on the statins’ safety in NAFLD patients and their effects on cardiovascular events or liver histology. The findings suggest that statins are safe to be administered to NAFLD patients including people with increased transaminase (< 3 times - upper limit of normal). The reviewed studies indicate that statins may reduce cardiovascular risk. Some controversial data also emerged from the literature regarding the effect of statins on liver histology in NAFLD patients. The treatment with statins is safe, which may also lessen cardiovascular events in patients with NAFLD. Future and ongoing studies will elucidate if statins have a role in treating NAFLD. Although clinicians are often refrained from prescribing statins for NAFLD patients, it is used to reduce cardiovascular mortality and morbidity and lower liver enzymes. J Endocrinol Metab. 2020;10(6):162-166 doi: https://doi.org/10.14740/jem705
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".