Association between non-nutritive sweetener consumption and liver enzyme levels in adults: a systematic review and meta-analysis of randomized clinical trials
Bibliographic record
Abstract
CONTEXT: The use of non-nutritive sweeteners (NNSs) is dramatically increasing in food commodities, and their effects on biochemical parameters have been the subject of great controversy. Liver enzymes as markers of liver injury may be helpful measures of non-alcoholic fatty liver disease (NAFLD), but the outcomes of randomized controlled trials (RCTs) suggest their associations with NNSs are contentious. OBJECTIVE: The current study was designed to provide a GRADE-assessed systematic review and meta-analysis of RCTs studying the consequences of NNS consumption on ALT, AST, and GGT concentrations (ie, the 3 main liver enzymes in adults). DATA SOURCES: Scopus, PubMed, and EMBASE were searched for relevant studies up to April 2021, with no time and language limitations. DATA EXTRACTION: Two independent researchers extracted information from qualified studies, and a third researcher rechecked it. DATA ANALYSIS: Of 3212 studies, 10 studies that enrolled a total of 854 volunteers were included. A random-effects or fixed-effects model was utilized to calculate weighted mean differences (WMDs) and 95% confidence intervals (CIs). Heterogeneity between studies was evaluated using Cochran's Q test and quantified using the I2 statistic. The pooled results demonstrated that, compared with control groups, NNS intake led to nonsignificant reductions in ALT (WMD: -.78, 95% CI: -2.14, .57, P = .25) and GGT (WMD: -.21, 95% CI: -1.46, 1.04, P = .74). Also, a small nonsignificant increasing effect on AST level was found (WMD: .02, 95% CI: -1.26, 1.30, P = .97). NNS significantly reduced AST levels in type 2 diabetes patients when subgroup analyses were performed. Also, in trials with ≥24-week intervention or studies that utilized stevioside for intervention, a significant reducing effect on ALT level was observed. CONCLUSION: The results of this study showed that NNS intake has no significant effect on liver enzyme levels in adults. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration no. CRD42021250067.
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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 | 0.026 | 0.056 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.025 | 0.034 |
| Bibliometrics | 0.010 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".