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Record W2164842638 · doi:10.1093/cid/ciu097

Relationship Between Alcohol Use Categories and Noninvasive Markers of Advanced Hepatic Fibrosis in HIV-Infected, Chronic Hepatitis C Virus–Infected, and Uninfected Patients

2014· article· en· W2164842638 on OpenAlexaff
Joseph K. Lim, Janet P. Tate, Shawn L. Fultz, Joseph L. Goulet, Joseph Conigliaro, Kendall Bryant, Adam J. Gordon, Cynthia L. Gibert, David Rimland, Matthew Bidwell Goetz, Marina B. Klein, David A. Fiellin, Amy C. Justice, Vincent Lo Re

Bibliographic record

VenueClinical Infectious Diseases · 2014
Typearticle
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsMcGill University Health Centre
FundersNational Institute of Allergy and Infectious DiseasesNational Center for Advancing Translational SciencesNational Institute of Mental HealthNational Institute on Alcohol Abuse and Alcoholism
KeywordsMedicineInternal medicineOdds ratioBinge drinkingAlcohol Use Disorders Identification TestGastroenterologyHepatitis C virusHepatitis CAlcohol abuseImmunologyVirusEnvironmental healthPoison controlPsychiatryInjury prevention

Abstract

fetched live from OpenAlex

BACKGROUND: It is unclear if the risk of liver disease associated with different levels of alcohol consumption is higher for patients infected with human immunodeficiency virus (HIV) or chronic hepatitis C virus (HCV). We evaluated associations between alcohol use categories and advanced hepatic fibrosis, by HIV and chronic HCV status. METHODS: We performed a cross-sectional study among participants in the Veterans Aging Cohort Study who reported alcohol consumption at enrollment (701 HIV/HCV-coinfected; 1410 HIV-monoinfected; 296 HCV-monoinfected; 1158 HIV/HCV-uninfected). Alcohol use category was determined by the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire and alcohol-related diagnoses and was classified as nonhazardous drinking, hazardous/binge drinking, or alcohol-related diagnosis. Advanced hepatic fibrosis was defined by FIB-4 index >3.25. RESULTS: Within each HIV/HCV group, the prevalence of advanced hepatic fibrosis increased as alcohol use category increased. For each alcohol use category, advanced hepatic fibrosis was more common among HIV-infected than uninfected (nonhazardous: 6.7% vs 1.4%; hazardous/binge: 9.5% vs 3.0%; alcohol-related diagnosis: 19.0% vs 8.6%; P < .01) and chronic HCV-infected than uninfected (nonhazardous: 13.6% vs 2.5%; hazardous/binge: 18.2% vs 3.1%; alcohol-related diagnosis: 22.1% vs 6.5%; P < .01) participants. Strong associations with advanced hepatic fibrosis (adjusted odds ratio [95% confidence interval]) were observed among HIV/HCV-coinfected patients with nonhazardous drinking (14.2 [5.91-34.0]), hazardous/binge drinking (18.9 [7.98-44.8]), and alcohol-related diagnoses (25.2 [10.6-59.7]) compared with uninfected nonhazardous drinkers. CONCLUSIONS: Advanced hepatic fibrosis was present at low levels of alcohol consumption, increased with higher alcohol use categories, and was more prevalent among HIV-infected and chronic HCV-infected patients than uninfected individuals. All alcohol use categories were strongly associated with advanced hepatic fibrosis in HIV/HCV-coinfected patients.

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)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-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 score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.061
GPT teacher head0.369
Teacher spread0.309 · 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

Citations86
Published2014
Admission routes1
Has abstractyes

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