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Record W2790376774 · doi:10.1093/jcag/gwy008.191

A190 REGRESSION OF LIVER FIBROSIS AFTER SUCCESSFUL ALL ORAL ANTIVIRAL THERAPY IN HCV CIRRHOSIS: A PILOT STUDY EMPLOYING TRANSIENT ELASTOGRAPHY AND CONTROLLED ATTENUATION PARAMETER (CAP)

2018· article· en· W2790376774 on OpenAlexaffabout
J Rayes, Giada Sebastiani

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsRoyal Victoria HospitalMcGill University
Fundersnot available
KeywordsTransient elastographyMedicineFibrosisInternal medicineCirrhosisLiver biopsyGastroenterologyHepatic fibrosisHepatitis CContext (archaeology)BiopsyLiver fibrosisBiology

Abstract

fetched live from OpenAlex

Studies on the regression of liver fibrosis after SVR are limited. Until the advent of accurate non-invasive tests for fibrosis, paired biopsy studies were limited by patient compliance and small sampling biases. Early studies comparing non-oral regimens using mostly paired liver biopsies showed a 62% regression in liver fibrosis after achieving SVR. Only four studies at the time of this publication have used the non-invasive FibroScan to measure fibrosis regression. A meta-analysis of these 4 studies predicts an 82% regression in fibrosis. Most recently a well-designed prospective study by the ANRS CO13 HEPAVIH study group looked at fibrosis regression using the FibroScan in patients co-infected with HIV and HCV who achieved SVR via oral or non-oral antiviral agents. This study showed at least 30% fibrosis regression in 74% of all patients at 2 years. The landscape of HCV management continues to rapidly evolve with the combined advent of new all oral antivirals and new noninvasive measurements of liver fibrosis with the FibroScan. In this context no study to date has directly looked at fibrosis regression using FibroScan in HCV patients receiving an all oral antiviral regiment. Primary objective: To elucidate the dynamics of liver fibrosis regression in patients who achieve SVR with an oral only antiviral regiment. Secondary objective: To identify negative predictors for fibrosis regression including HIV status, IV drug use, hepatic steatosis, cirrhosis and history of hepatic decompensation. The Chronic Viral Illness Service (CVIS) is a university-based clinic which has served over 3000 HCV-infected patients in 24 months. The CVIS is part of the McGill University Health Centre (MUHC) network located in Montreal, Quebec. A computerized database has been prospectively maintained to include all patients who have undergone HCV treatment. This database will be combined with information obtained from the MUHC electronic medical records (Oacis system) to provide the researchers with the required data. Percentage reduction in fibrosis with 95% confidence intervals (all patients): 20.04 +/- 9.68 %. There is a statistically significant reduction in liver fibrosis after treatment with DAAs. The study included only 18 patients; however, it still managed to achieve statistical significance. An extended database is under analysis to add more patients to the study and achieve better results. None

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)0.003
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.261
Teacher spread0.244 · 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

Citations2
Published2018
Admission routes2
Has abstractyes

Explore more

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