# Single Herbal Medicine for Insulin Resistance: Protocol for a Systematic Review and Meta-Analysis of Randomized Clinical Trials

**Authors:** Jialing Zhang, Zhinan Zhang, Hoi Ki Wong, Shuyan Zhong, Zhilin Lin, Zhaoxiang Bian

PMC · DOI: 10.2196/68915 · JMIR Research Protocols · 2025-06-10

## TL;DR

This study will review and analyze clinical trials to assess the effectiveness and safety of single Chinese herbs in treating insulin resistance, a key factor in diabetes and obesity.

## Contribution

The novelty lies in focusing on single-herb Chinese medicine for insulin resistance, offering clearer insights into efficacy and safety compared to multiherb therapies.

## Key findings

- The study will evaluate IR-related outcomes like insulin sensitivity index and glucose tolerance tests.
- It will assess adverse events to determine the safety profile of single herbs.
- Findings may support the integration of single CHMs into evidence-based metabolic disorder treatments.

## Abstract

Insulin resistance (IR) is a central factor in the pathogenesis and progression of metabolic disorders, such as type 2 diabetes mellitus and obesity. Chinese herbal medicine (CHM) has been investigated as a potential therapy to enhance insulin sensitivity. Compared to multiherb formula therapy, single-herb therapy provides a clearer understanding of its pharmacological effects and mechanisms of action. A systematic review of the available evidence is needed to elucidate the potential effectiveness and harm of single CHMs for IR.

This study aims to conduct a systematic review and meta-analysis to evaluate the potential effectiveness and harm of single herbs for the treatment of IR, thereby providing a clearer understanding of the efficacy and safety profiles of single CHMs.

A systematic review and meta-analysis, in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020, will be conducted to evaluate the efficacy and safety of single herbs for IR. Various databases, such as Cochrane Central Register of Controlled Trials, MEDLINE, Embase, Allied and Complementary Medicine Database, China National Knowledge Infrastructure, Chinese BioMedical Literature Database, and the Wanfang Database, will be searched. Randomized controlled trials comparing single herbs or extracts originated from single herbs with a placebo or no treatment for adults diagnosed with IR-related diseases (eg, type 2 diabetes mellitus and obesity) will be included. A total of 2 researchers will independently perform study selection, data extraction, and quality assessment. The risk of bias (RoB) tool will be used to assess the quality of included studies. The overall certainty of evidence will be assessed using Grading of Recommendations Assessment, Development, and Evaluation (GRADE). The primary outcome will include measurements that assess IR, such as the hyperinsulinemic-euglycemic clamp, homeostatic model assessment, insulin sensitivity index, and oral glucose tolerance test. Secondary outcomes will include adverse events. Meta-analysis will be performed with RevMan (version 5.4; The Cochrane Collaboration). The heterogeneity of the synthetic data will be assessed using the chi-square test and the I2 statistic.

Based on the data on IR-associated outcomes (eg, hyperinsulinemic-euglycemic clamp, homeostatic model assessment, insulin sensitivity index, and oral glucose tolerance test) and adverse event rates, this study will provide an evidence-based review and high-quality synthesis regarding the efficacy and safety of single CHMs for IR.

This systematic review and meta-analysis will rigorously synthesize existing evidence to clarify the efficacy and safety of single CHMs in ameliorating IR, offering critical insights for their integration into evidence-based therapies for metabolic disorders. By focusing on single-herb therapy, the findings may promote the application of CHM for IR, bridge the gap between traditional applications and evidence-based practice, and ultimately optimize the role of CHM in integrative metabolic health management.

PROSPERO CRD42024589362; https://www.crd.york.ac.uk/PROSPERO/view/CRD42024589362

PRR1-10.2196/68915

## Linked entities

- **Diseases:** type 2 diabetes mellitus (MONDO:0005148), obesity (MONDO:0011122)

## Full-text entities

- **Diseases:** metabolic disorders (MESH:D008659), IR (MESH:D007333), obesity (MESH:D009765), type 2 diabetes mellitus (MESH:D003924), hyperinsulinemic (MESH:D044903)
- **Chemicals:** glucose (MESH:D005947), CHM (-)

## Full text

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## References

45 references — full list in the complete paper: https://tomesphere.com/paper/PMC12188135/full.md

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Source: https://tomesphere.com/paper/PMC12188135