Non-Alcoholic Fatty Liver Disease in Children and Adolescents: Lifestyle Change - a Systematic Review and Meta-Analysis
Bibliographic record
Abstract
INTRODUCTION AND AIM: This manuscript seeks to analyze the impact of lifestyle changes on body mass index (BMI), aminotransferases and steatosis in children and adolescents with nonalcoholic fatty liver disease (NAFLD). MATERIALS AND METHODS: A review of PubMed, BIREME, Scopus, EMBASE, Medline and Web of Science databases 2015 was performed seeking studies addressing the impact of lifestyle interventions on children and/or adolescents with NAFLD. Inclusion were manuscripts written in Portuguese, English and Spanish, as well as age less than 18 years. Two reviewers performed the data extraction independently and differences were resolved by consensus. Outcome measures were BMI, serum aminotransferase levels and the presence of hepatic steatosis. RESULTS: The literature search identified 71,012 articles. After excluding 46,397 duplicates and other clearly irrelevant studies, 89 publications were reviewed in detail. Another 55 studies were excluded at this stage. Subsequently, 18 were excluded due to lack of data and three new articles were found in the review of the references of previously identified manuscripts. Therefore, 19 studies that had evaluated 923 subjects (477 boys and 446 girls) aged 6-18 years were included in the review. In most studies, the intervention included aerobic exercise and diet. In nine studies, BMI improved significantly following the intervention. The vast majority of studies reported a benefit from the intervention on aminotransferase levels. Lifestyle changes also had a significant impact on steatosis, reducing the risk by 61%. CONCLUSIONS: Lifestyle changes lead to significant improvements in BMI, aminotransferase levels and hepatic steatosis in children and adolescents with NAFLD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.024 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".