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Record W4313362865 · doi:10.30978/mg-2022-5-17

The improvement of treatment and prevention of non-alcoholic fatty liver disease progression against the background of metabolic disorders

2022· article· en· W4313362865 on OpenAlexaboutno aff
G. D. Fadieienko, O. E. Gridnyev, I. E. Kushnir, V. M. Chernova, T. A. Solomentseva, Y. V. Nikiforova, O. G. Kurinna

Bibliographic record

VenueModern Gastroenterology · 2022
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal medicineGastroenterologyUrsodeoxycholic acidFatty liverMetabolic syndromeLactobacillus rhamnosusNonalcoholic fatty liver diseaseProbioticDiseaseObesityBiology

Abstract

fetched live from OpenAlex

Nonalcoholic fatty liver disease (NAFLD) is one of the most common liver diseases, with pathogenetic mechanisms involving complex factors, in particular changes in the intestinal microbiota. The development and evaluation of the effectiveness of NAFLD treatment regimens, affecting intestinal microbiota disturbances, presents an urgent issue in modern medicine. Objective — to determine effects of combined therapy, including ursodeoxycholic acid (UDCA) and probiotic preparation (strains of Lactobacillus acidophilus, L. rhamnosus, Streptococcus salivarius subsp. thermophilus, L. delbrueckii subsp. Bulgaricus) on the metabolic disorders and inflammatory processes in liver tissue of patients with NAFLD. Materials and methods. The study included 108 patients with NAFLD with metabolic disorders and 30 people of the control group, who were examined on the basis of the Department of Gastroenterology and Therapy and outpatient department of the GI «L. T. Mala National Institute of Therapy of the NAMS of Ukraine». Women prevailed in both groups. The mean age of patients was 54.6 ± 11.7 years. The patients were randomized into two groups, comparable by gender and age ratio. Both groups received non‑drug therapy. The comparison group (48 patients) received UDCA preparation only, the main group (60 patients) received additional probiotic preparation «Yogurt capsules» (Pharmascience Inc., Canada). The treatment lasted 12 weeks. Patients were examined at the beginning and end of treatment with additional determination of pro‑inflammatory markers: C‑reactive protein CRP and TNF‑α. Statistical analysis was performed with the package Statistica 13.1 using nonparametric methods. Results. Patients’ examination in the dynamics of treatment showed an improvement in NAFLD course due to a decrease in the levels of alanine aminotransferase, aspartate aminotransferase and γ‑glutamyl peptidase (ALT, AST and GGT) in both groups. Moreover, against the background of treatment, the tendency was observed to the decrease of visceral fat percentage, as well as the visceral obesity index, which in group I significantly decreased in almost 1.6 times. In contrast to the carbohydrate metabolism indicators, the dynamics of which did not differ significantly between the groups, a significant effect of the developed therapy on the lipid profile was determined. The triglycerides (TG) levels in the main group decreased 1.3 times, and LDL cholesterol 1.6 times. In addition, the significant decrease in TNF‑alpha levels by 57.51 % was observed under the influence of treatment with the addition of probiotic yogurt. Conclusions. Combined therapy which includes lifestyle modification by means of non‑drug therapy, UDCA with the additional use of a complex probiotic preparation yogurt capsules, has a pathogenetic focus and proven effectiveness in the treatment of NAFLD.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.015
GPT teacher head0.278
Teacher spread0.263 · 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 designNot applicable
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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Citations0
Published2022
Admission routes1
Has abstractyes

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