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Record W4407754760 · doi:10.1089/met.2024.0184

A Comparison of Metabolic-Associated Fatty Liver Disease and Steatotic Liver Disease in a Cohort of Egyptian People Living with Human Immunodeficiency Virus

2025· article· en· W4407754760 on OpenAlexaff
Fatma Elrashdy, Rahma Mohamed, Ahmed Cordie, Hossam Abdel Aziz, Ahmed Kamel, Mohamed S. Hamdy, M Sabry Yasser, Safa Meshaal, Shereen Abdel Alem, Aisha Elsharkawy, Gamal Esmat

Bibliographic record

VenueMetabolic Syndrome and Related Disorders · 2025
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMedicineFatty liverHuman immunodeficiency virus (HIV)DiseaseCohortLiver diseaseSteatosisCohort studyInternal medicineVirology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.255
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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