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Record W2792062218 · doi:10.1093/jcag/gwy008.174

A173 EVALUATION OF LIVER FIBROSIS SCORES POST-HCV SVR IN PEOPLE WHO INJECT DRUGS

2018· article· en· W2792062218 on OpenAlexaffabout
Tyler Raycraft, Akash Singh, Arshia Alimohammadi, R Shahi, G Kiani, David Truong, Brian Conway

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsVancouver Infectious Diseases Centre
Fundersnot available
KeywordsMedicineHepatitis CInternal medicineTransient elastographyRetrospective cohort studyPopulationCohortLiver diseaseObservational studyFibrosisLiver fibrosisEnvironmental health

Abstract

fetched live from OpenAlex

In the developed world, people who inject drugs (PWID) constitute the majority of prevalent and incident Hepatitis C (HCV) infections. Treatment is often withheld due to concerns surrounding reduced efficacy related to poor adherence and a higher risk of re-infection after successful treatment. Current guidelines favour increasingly widespread access to highly effective direct-acting antiviral regimens within this population, with a view to curing HCV infection but also preventing HCV transmission. An additional rationale for treatment may be to prevent the liver-related morbidity and mortality increasingly prominent among PWID. Data on the impact of HCV cure on liver fibrosis scores among PWID have not yet been generated in a systematic way. The aim of this study is to assess the regression of fibrosis in people who inject drugs after achievement of HCV SVR. We performed a retrospective observational study utilizing records of PWID successfully treated for HCV infection at our centre. HCV-infected PWID with ongoing recreational drug use, having achieved and maintained a sustained virologic response (SVR) and engaged in long-term medical follow-up were included. Fasting transient elastography (TE) scores post-SVR were compared to pre-treatment values. If such scores were unavailable, APRI scores were considered. A cohort of 57 subjects were included in this analysis. Of these, 45 (79%) actively injected drugs during treatment and 12 (21%) did so intermittently before and after HCV treatment. The median age was 53 (27–73) years, 47 (82%) were male, 52 (91%) were Caucasian, 42 (74%) were infected with HCV genotype 1, and 12 (21%) were genotype 3. In addition, 77% were HCV treatment-naïve and 10 (18%) were HIV co-infected, 9 (90%) of whom demonstrated complete virologic suppression (HIV viral load <40 copies/mL). The mean follow-up period was 472 (128–1247) days. Based on TE evaluations, the mean pre-treatment fibrosis scores of 11.9 (3–45) kPa (3–45) significantly decreased post-treatment to a mean of 9.6 (2–27) kPa (p=0.03). Mean APRI scores decreased from 0.91 to 0.40 (p=0.0001). Among 12 patients that initially suffered from cirrhosis (TE score >12.5 kPa), 11 (92%) had improved fibrosis scores after treatment, including 5 (42%) who decreased to a lower fibrosis category (F3 or less). This data set shows significant, rapid improvement in liver fibrosis among PWID successfully treated for HCV infection. In a population where liver-related morbidity and mortality is becoming a common clinical concern, this provides additional and strong rationale for the development of strategies to increase HCV treatment uptake. Canadian Network on Hepatitis C

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.019
GPT teacher head0.295
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2018
Admission routes2
Has abstractyes

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