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SYSTEMATIC REVIEW article

Front. Endocrinol.

Sec. Clinical Diabetes

This article is part of the Research TopicHerbal Medicine for the Treatment of Chronic Metabolic Diseases, Volume IIView all 54 articles

Traditional Chinese Medicine for Type 2 Diabetes with Metabolic-Associated Steatotic Liver Disease: Unified Effects and Design Thresholds

Provisionally accepted
Youfang  LiuYoufang Liu1bibi  Wangbibi Wang1liting  Wangliting Wang1haozhe  Xionghaozhe Xiong2Hua  ZhangHua Zhang1yang  chengyang cheng1*
  • 1Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
  • 2Beijing University of Chinese Medicine, Beijing, China

The final, formatted version of the article will be published soon.

Objective: To reorganize randomized controlled trials (RCTs) of traditional Chinese medicine (TCM) for adults with type 2 diabetes mellitus (T2DM) and metabolic-associated steatotic liver disease (MASLD; including legacy NAFLD) into a clinical evidence–anchored knowledge graph (KG), and harmonize effect semantics ("Unified Effects") to support endpoint-and design-aware evidence navigation. Methods: We systematically reviewed RCTs (2015–2025). Effect direction and scale were unified using a prespecified rule (treatment effect [TE] >0 indicates improvement). Prespecified primary endpoints maximizing cross-trial comparability were alanine aminotransferase (ALT), triglycerides (TG), homeostatic model assessment of insulin resistance (HOMA-IR), and controlled attenuation parameter (CAP); aspartate aminotransferase (AST) was retained for robustness. Metabolic endpoints were synthesized at the 12-week timepoint, while imaging endpoints (CAP and liver stiffness measurement [LSM]) were synthesized within a prespecified 8–24-week window. Trials were stratified as Add-on versus Mixed, with primary efficacy inferences based on Add-on trials with balanced background Western medicine. Evidence was synthesized using REML-based random-effects meta-analysis (reporting prediction intervals) and weighted meta-regression. Risk of bias was assessed using RoB 2 and certainty of evidence using GRADE. Results: Ninety-five trials were included (n=8,813; follow-up 2–48 weeks; predominantly Add-on). The KG linked intervention categories (classic formulas, custom formulas, and Chinese patent medicines) to recurrent syndrome/symptom patterns; Salvia miltiorrhiza emerged as a central herb-layer hub. In Add-on trials, pooled effects for ALT, AST, HOMA-IR, and TG were directionally favorable, but heterogeneity was substantial and prediction intervals for biochemical endpoints were often wide and crossed the null. CAP showed a comparatively more reproducible short-term imaging signal than LSM. Meta-regression suggested hypothesis-generating design patterns in which estimate stability tended to improve with larger per-arm sample sizes (≈≥40–50) and longer follow-up (≈≥12–16 weeks). RoB 2 ratings were predominantly "some concerns," and GRADE certainty was commonly downgraded for inconsistency and/or imprecision. Conclusion: In adults with T2DM and MASLD, Add-on trials show directionally favorable pooled biochemical/metabolic changes after unified effect harmonization, but uncertainty remains substantial; CAP may be a more reproducible short-term imaging endpoint than LSM. Evidence-derived design patterns should be interpreted as hypothesis-generating rather than causal thresholds. Registration: PROSPERO CRD420251167450.

Keywords: Interpretable machine learning, knowledge graph, Meta-analysis, metabolic-associated steatotic liver disease, Traditional Chinese Medicine, type 2 diabetes mellitus

Received: 05 Nov 2025; Accepted: 09 Feb 2026.

Copyright: © 2026 Liu, Wang, Wang, Xiong, Zhang and cheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: yang cheng

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