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Record W4323353265 · doi:10.1093/jcag/gwac036.285

A285 CHANGE IN ALT DURING MODIFIED OPTIFAST WEIGHT LOSS PROGRAM IN INDIVIDUALS AT RISK FOR NON-ALCOHOLIC FATTY LIVER DISEASE

2023· article· en· W4323353265 on OpenAlexaffabout
L Meddings Maybury, Erin Kelly, Robert Dent, Barbara Bielawska

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2023
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineFatty liverWeight lossInternal medicineGastroenterologyLiver diseaseObesityMetabolic syndromeCohortEndocrinologyDisease

Abstract

fetched live from OpenAlex

Abstract Background Obesity is linked to various health complications, including diabetes, metabolic syndrome, cardiovascular disease, and non-alcoholic fatty liver disease (NAFLD). NAFLD is the most frequent cause of abnormally high alanine aminotransferase (ALT) levels. ALT is released at higher levels during hepatocellular injury and represents a simple, low cost and non-invasive method of assessing liver damage. There are conflicting data on ALT response to weight loss between men and women, with some evidence of transient increase in ALT levels in women. Purpose The aim of this study was to assess the impact of a dietary weight loss intervention with Optifast on ALT in patients with obesity who have baseline elevated ALT levels. Method This was a retrospective cohort study of Ontario adults who participated in a 26 week weight loss program, including 6 or 12 weeks of low-calorie liquid diet meal replacement with Optifast 900® (Nestlé, Canada), between 1992 and 2015. We included patients with elevated baseline ALT levels, defined by > 40 U/L, who had at least one follow-up ALT between week 15 and 26. We excluded patients with nonadherence to dietary intervention, established liver disease or using hepatotoxic drugs, excessive alcohol intake (>11U/wk for females and >14U/wk for males), and insufficient data to calculate FIB-4. The primary outcome was change in ALT levels, measured by normalization (post-intervention ALT < 40 U/L), percentage decrease and absolute decrease. Multiple linear regressions were obtained for the relationship between ALT changes and age, sex, body mass index (BMI) and FIB-4. All analyses were conducted in SPSS. P value of ≤0.05 was considered statistically significant. Result(s) 444 patients met study criteria. Mean age was 47.1 years +/- 10.9, 49 % of patients were female, and mean BMI was 43.5 kg/m2 +/- 7.9. All patients lost weight, with mean weight loss 27.3 kg +/- 11.5 and a mean 20.7% decrease from baseline weight. Mean ALT at baseline was 58.9 U/L +/- 25.4 and mean ALT post intervention was 32.3 U/L +/- 28.1 (p <0.01). 85.1% of patients had normalization of ALT. Mean % decrease in ALT was 41.9% and mean absolute decrease in ALT was 26.6 U/L +/- 25.4. Younger age and higher baseline FIB-4 were significantly associated with a larger decrease in ALT levels, while sex and initial BMI were not significantly associated with changes in ALT. Conclusion(s) In patients with obesity and baseline elevated ALT, dietary weight loss intervention with Optifast leads to ALT normalization in most patients, regardless of sex. Younger age at baseline and higher baseline FIB-4 are significantly associated with greater decrease in ALT. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared

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)0.000
metaresearch head score (Gemma)0.001
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 score0.107
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.272
Teacher spread0.251 · 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".

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Citations1
Published2023
Admission routes2
Has abstractyes

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