# Efficacy and safety of traditional Chinese classic prescriptions combined with metformin in the treatment of type 2 diabetes mellitus: a Bayesian network meta-analysis

**Authors:** Linlin Che, Wei Dong, Ya Liu, Hongwei Guo

PMC · DOI: 10.3389/fphar.2026.1693378 · Frontiers in Pharmacology · 2026-02-11

## TL;DR

This study compares the effectiveness of traditional Chinese herbal formulas combined with metformin for treating type 2 diabetes, finding some combinations more effective at lowering blood sugar.

## Contribution

The study provides a Bayesian network meta-analysis of eight traditional Chinese prescriptions combined with metformin for T2DM, offering new comparative evidence.

## Key findings

- Huanglian Jiedu Decoction combined with metformin was most effective for reducing fasting plasma glucose.
- Huanglian Jiedu, Zhibai Dihuang, and Dachaihu Decoctions with metformin were top for reducing HbA1c.
- Safety data was limited, with only 20% of trials reporting adverse events.

## Abstract

Type 2 diabetes mellitus (T2DM) is a metabolic disorder characterized by chronic hyperglycemia. While biomedicine (e.g., metformin) serves as the first-line treatment, combination therapies involving botanical drugs are increasingly utilized. However, the comparative efficacy of different botanical formulations remains to be systematically evaluated.

This study aims to analyze randomized controlled trials (RCTs) to evaluate the clinical efficacy and safety of eight specific classical botanical drug formulas combined with metformin (Met) for T2DM, providing evidence to support integrated clinical management.

A Bayesian network meta-analysis (NMA) was performed on RCTs sourced from PubMed, Cochrane Library, Embase, Web of Science, and Chinese databases. The taxonomic validation of all botanical drugs was conducted using MPNS. Outcomes including HbA1c, FPG, and lipid profiles were assessed using the SUCRA and GRADE methodology.

Forty RCTs involving 3,088 patients were included. In terms of glycemic control, the combination of Huanglian Jiedu Decoction (HLJDD) and Met ranked highest for reducing FPG [MD = −1.46, 95% CrIs=(−2.24, −0.68)], while HLJDD, Zhibai Dihuang Decoction (ZBDHD), and Dachaihu Decoction (DCHD) combined with Met emerged as the most effective for reducing HbA1c. Notably, sensitivity analysis restricted to trials ≥8 weeks identified HLJDD [MD = −1.02, 95% CrIs=(−1.39, −0.66)] and ZBDHD [MD = −1.02, 95% CrIs=(−1.28, −0.76)] as the most robust interventions for long-term glycemic control. Safety reporting was limited, with only 8 out of 40 trials (20.0%) providing data on adverse events. While no severe adverse events were reported in these specific trials, the overall safety evidence remains uncertain due to substantial missingness and potential under-reporting.

The current NMA results suggest that HLJDD combined with Met is a consistently effective option for reducing both FPG and HbA1c. For HbA1c improvement, while DCHD combined with Met showed initial potential, sensitivity analysis restricted to trials ≥8 weeks identified HLJDD and ZBDHD as the most physiologically robust interventions. However, given the “Very Low” certainty of evidence for many comparisons, these rankings remain exploratory.

## Linked entities

- **Chemicals:** metformin (PubChem CID 4091)
- **Diseases:** type 2 diabetes mellitus (MONDO:0005148)

## Full-text entities

- **Genes:** NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, TLR4 (toll like receptor 4) [NCBI Gene 7099] {aka ARMD10, CD284, TLR-4, TOLL}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}
- **Diseases:** nausea (MESH:D009325), FINS (OMIM:606035), abdominal discomfort (MESH:D000007), obesity (MESH:D009765), Non-insulin-dependent diabetes mellitus (MESH:D003924), nausea/vomiting (MESH:D020250), LDL-c (MESH:D001851), overweight (MESH:D050177), diarrhea (MESH:D003967), TC (MESH:C535937), fatigue (MESH:D005221), beta-cell function (MESH:D007340), hypoglycemic (MESH:C000721848), chronic gastritis (MESH:D005756), glucose (MESH:D018149), metabolic disorder (MESH:D008659), SAEs (MESH:D045169), TG (MESH:C566031), coma (MESH:D003128), hyperlipidemia (MESH:D006949), hyperglycemia (MESH:D006943), dysmetabolism (MESH:D024821), gastrointestinal symptoms (MESH:D012817), inflammatory (MESH:D007249), headache (MESH:D006261), dyslipidemia (MESH:D050171), diabetic complications (MESH:D048909), lipid metabolism disorders (MESH:D052439), Diabetes (MESH:D003920), gastrointestinal adverse (MESH:D005767), lactic acidosis (MESH:D000140), impaired (MESH:D060825), cardiovascular, renal, or hepatic complications (MESH:D002318), hypoglycemia (MESH:D007003), DM (MESH:D009223), IR (MESH:D007333), toxicities (MESH:D064420)
- **Chemicals:** Met (MESH:D008687), Isoliquiritigenin (MESH:C040920), lipid (MESH:D008055), blood glucose (MESH:D001786), glycyrrhizic acid (MESH:D019695), glucose (MESH:D005947), cholesterol (MESH:D002784), Baihu Renshen (-), chalcone (MESH:D002599), Polysaccharides (MESH:D011134), NMPA (MESH:C062567), -c (MESH:D002244), TG (MESH:D014280)
- **Species:** Coptis chinensis (species) [taxon 261450], Wolfiporia cocos (species) [taxon 81056], Mus musculus (house mouse, species) [taxon 10090], Rattus norvegicus (brown rat, species) [taxon 10116], Homo sapiens (human, species) [taxon 9606], Scutellaria baicalensis (Baikal skullcap, species) [taxon 65409]

## Full text

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## Figures

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## References

91 references — full list in the complete paper: https://tomesphere.com/paper/PMC12932438/full.md

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Source: https://tomesphere.com/paper/PMC12932438