A Comparison of Metabolic-Associated Fatty Liver Disease and Steatotic Liver Disease in a Cohort of Egyptian People Living with Human Immunodeficiency Virus
Bibliographic record
Abstract
Background: The prevalence of fatty liver disease in people living with human immunodeficiency virus (PLHIV) is significantly higher than in general population. This study aims to compare the burden of fatty liver disease in Egyptian PLHIV using both metabolic dysfunction-associated fatty liver disease (MAFLD) and steatotic liver disease (SLD) criteria. Methods: A retrospective cross-sectional study was conducted on PLHIV attending the HIV reference center at Embaba Fever Hospital in Egypt between November 2019 and July 2021. Data collection included demographics, comorbidities, physical examination, laboratory tests, liver ultrasound, controlled attenuation parameter, and liver stiffness measurement using Fibroscan®. Results: The prevalence of SLD and MAFLD was 26.92% and 21.15%, respectively. The concordance between MAFLD and SLD definitions was low (kappa = 0.465). The presence of SLD was significantly associated with increased odds of significant fibrosis ( P = 0.045). However, MAFLD was not significantly associated with fibrosis ( P = 0.369). Conclusion: SLD demonstrates a stronger association with significant fibrosis than MAFLD in PLHIV. This highlights the potential of SLD as a more inclusive and representative classification for steatosis in PLHIV.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".