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Record W2790948026 · doi:10.1093/jcag/gwy008.239

A238 A COMPARATIVE ANALSYS OF FIBROSIS BY TRANSIENT ELASTOGRAPHY AND LIVER BIOPSY IN PATIENTS WITH BIOPSY PROVEN NASH.

2018· article· en· W2790948026 on OpenAlexaffabout
K. Boctor, M Magnes, Magdy Elkashab

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsUniversity of TorontoToronto Liver Centre
Fundersnot available
KeywordsTransient elastographyMedicineLiver biopsySteatohepatitisCirrhosisInternal medicineFatty liverBiopsyLiver diseaseGastroenterologySteatosisGold standard (test)FibrosisPopulationCohortDisease

Abstract

fetched live from OpenAlex

According to the Canadian Liver Foundation, the death rate from liver disease has risen to nearly 30 percent. Fatty liver disease (FLD) more specifically has been highlighted to affect nearly 30 percent of the Canadian population, with Non-alcoholic steatohepatitis (NASH); a sub-type of FLD, causing a 50 percent increase in mortality secondary to cirrhosis & its complications. This value equates to greater number of hospitalizations, emergency room admissions, & more frequent visits to general practitioners and specialists. As liver biopsy remains the gold-standard for the diagnosis of NASH, & transient elastography a non-invasive tool in the assessment & monitoring of liver disease. Our aim was to study how the NASH activity Score (NAS), & its components (Steatosis, Ballooning, & Fibrosis) correlated to Liver Stiffness (LS) by fibroscan. 67 patients who had undergone a Liver Biopsy for confirmative diagnosis of NASH and staging of fibrosis. All Liver biopsies with were conducted at one facility and interpreted by a liver pathologist. Fibroscan tests were conducted at a separate facility and liver stiffness was measured in kilopascals. Data was collected and retrospectively analysed for: Liver stiffness (LS), and various aspects of the Pathology report. Only patients with NAS≥2 (NASH Activity Score) were included in the study. Of the 67 included in our cohort, 41 were males, & 26 females. Mean age for males was 48.39, and females 52.46. 65 patients underwent both a fibroscan and biopsy with a mean time of 161.46 days in between the two tests. Fibroscan: LS to NAS showed a strong correlation with a P-value of 0.021. (Figure1) Mean LS was 11.60kPa, with 11.60kPa, and 11.30kPa for males and females, respectively. 58.2% of our cohort underwent serial fibroscans. Liver stiffness (kPa) values varied significantly when compared to Brunt fibrosis on Liver biopsy. No particular range of stiffness was identifiable to a specific stage of brunt fibrosis. (Table 1) When comparing LS to Ballooning, there was no significant correlation, with a linear regression model resulting in R2 value of 0.0007. While LS to Lobular Inflammation resulted in a R2 value of 0.0142. Although Liver stiffness by transient elastography shows a strong correlation to NAS; however, it does not prove to be correlated to any one individual component of the NAS score. We plan to further assess these findings in a larger cohort in the future. Table 1: Liver Fibrosis (Liver stifffness Vs. Brunt Fibrosis) 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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.211
Teacher spread0.205 · 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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