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S2697 Higher TSH Within the Normal Range Is Linked to Increased Risk of NAFLD/MASLD in Euthyroid Individuals: A Meta-Analysis

2025· article· en· W4417240111 on OpenAlexaboutno aff
Pratiksha Shankarlal Nathani, Moulika Kari, Vaishnavi Kanisetti, Helai Hussaini, Shashank Gupta, Shrutik P. Borda, Anushka Dhabuwala, Rupak Desai

Bibliographic record

VenueThe American Journal of Gastroenterology · 2025
Typearticle
Languageen
FieldMedicine
TopicThyroid Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsEuthyroidOdds ratioConfidence intervalCategorical variableThyroid functionFatty liverOddsThyroid disease

Abstract

fetched live from OpenAlex

Introduction: Thyroid function may influence liver fat metabolism, even within the normal (euthyroid) range. However, the link between serum thyroid-stimulating hormone (TSH) levels and the risk of non-alcoholic fatty liver disease (NAFLD), now termed metabolic dysfunction-associated steatotic liver disease (MASLD), remains unclear in euthyroid adults. This meta-analysis aimed to assess this association using both continuous and categorical TSH levels. Methods: A systematic review was conducted in accordance with PRISMA guidelines. PubMed, Embase, Scopus, and Google Scholar databases were searched through May 2025 using terms including “euthyroid,” “TSH,” “thyroid-stimulating hormone,” “NAFLD,” and “MASLD.” Studies were eligible if they evaluated the association between serum TSH and NAFLD/MASLD among euthyroid adults. Two independent reviewers performed data extraction and quality assessment using the Newcastle-Ottawa Scale. Meta-analyses were performed using a random-effects model, with pooled odds ratios (ORs) and 95% confidence intervals (CIs). Continuous and categorical TSH levels were analyzed separately. Heterogeneity was assessed using I² statistics, and leave-one-out sensitivity analysis was conducted. Results: The meta-analysis included 7 studies, comprising 37,625 euthyroid individuals. In the categorical analysis, higher serum TSH levels were significantly associated with increased odds of NAFLD/MASLD (pooled OR: 1.33, 95% CI: 1.15–1.53, I² = 31.8%, P = 0.22). Effect estimates ranged from 1.29 to 1.46 in leave-one-out sensitivity analysis, indicating no single study unduly influenced the overall result. In the continuous analysis, each unit increase in TSH was associated with higher odds of NAFLD/MASLD (pooled OR: 1.52, 95% CI: 0.89–2.59), though substantial heterogeneity was observed (I² = 85.2%, P < 0.01). Sensitivity analysis showed that excluding Berg et al. increased the pooled estimate (OR: 1.95, 95% CI: 1.38–2.76), suggesting this study may have moderated the overall association. Together, these findings indicate a positive association between higher TSH levels and NAFLD/MASLD risk in euthyroid individuals, with more consistent results in the categorical analysis. Conclusion: Higher TSH levels within the normal range are associated with increased NAFLD/MASLD risk in euthyroid adults, especially in biopsy-based studies. TSH may aid early risk detection. Further research is needed to clarify mechanisms and clinical relevance.

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)0.011
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.025
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0140.048
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.020
GPT teacher head0.294
Teacher spread0.274 · 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 designMeta-analysis
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
Published2025
Admission routes1
Has abstractyes

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