Literature DB >> 25554640

Are meta-analyses of Chinese herbal medicine trials trustworthy and clinically applicable? A cross-sectional study.

Vincent C H Chung1, Robin S T Ho2, Xinyin Wu3, Daisy H Y Fung2, Xin Lai2, Justin C W Wu4, Samuel Y S Wong1.   

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE: Meta-analysis (MA) on Chinese herbal medicine (CHM) trials is increasingly published and indexed in major international databases but their trustworthiness and clinical applicability is uncertain. We aimed to assess the characteristics and methodological quality of MA on CHM.
MATERIALS AND METHODS: Cross-sectional study. MA published during 1993-2013 was sampled from MEDLINE, EMBASE, Cochrane Database of Systematic Reviews and Database of Abstracts of Reviews of Effect. Bibliographical characteristics were abstracted and methodological quality was assessed using the validated AMSTAR tool by two independent reviewers.
RESULTS: Total of 201 MA were included and half were published in or after 2009. Only 7.5% being updates of previous reviews. Majority are published in journals with low or no impact factor, with a median of 1.5. These MA demonstrated methodological strengths in ensuring comprehensive literature search, providing characteristics of the included studies, assessing the scientific quality of included studies and appropriately using the scientific quality of included studies in formulating conclusions. Nevertheless, weaknesses in protocol provision, listing of included and excluded studies, inclusion of grey literature, use of appropriate meta-analytic technique as well as reporting of funding sources were prevalent. CHM and control interventions pooled in majority of MA are found to have substantial clinical heterogeneity in terms of composition, dosage form and route of administration.
CONCLUSIONS: There are rooms for improvement in methodological rigor, and in choosing clinically homogenous interventions and control for statistical pooling. These shortcomings limit the trustworthiness and clinical applicability of existing MA on CHM trials. To overcome the limitations of pair-wise meta-analysis in synthesizing trials comparing different CHM and control interventions, the potential of network meta-analysis should be explored.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Bias (epidemiology); Chinese Herbal Medicine; Complementary therapies; Meta-analysis; Review article as topic

Mesh:

Substances:

Year:  2014        PMID: 25554640     DOI: 10.1016/j.jep.2014.12.028

Source DB:  PubMed          Journal:  J Ethnopharmacol        ISSN: 0378-8741            Impact factor:   4.360


  9 in total

1.  Methodological quality of systematic reviews on treatments for depression: a cross-sectional study.

Authors:  V C H Chung; X Y Wu; Y Feng; R S T Ho; S Y S Wong; D Threapleton
Journal:  Epidemiol Psychiatr Sci       Date:  2017-05-02       Impact factor: 6.892

2.  Identifying the Chinese Herbal Medicine Network and Core Formula for Allergic Rhinitis on a Real-World Database.

Authors:  Yen-Chu Lu; Ching-Wei Yang; Yi-Hsuan Lin; Ju-Yu Hsueh; Jiun-Liang Chen; Sien-Hung Yang; Yu-Chun Chen; Hsing-Yu Chen
Journal:  Evid Based Complement Alternat Med       Date:  2020-11-05       Impact factor: 2.629

Review 3.  Traditional and complementary medicine for promoting healthy ageing in WHO Western Pacific Region: Policy implications from utilization patterns and current evidence.

Authors:  Vincent C H Chung; Charlene H L Wong; Claire C W Zhong; Yan Yin Tjioe; Ting Hung Leung; Sian M Griffiths
Journal:  Integr Med Res       Date:  2020-07-04

4.  Barriers to the registration and conduct of Cochrane systematic reviews of traditional East Asian medicine therapies.

Authors:  L Susan Wieland; Ruth Brassington; Geraldine Macdonald
Journal:  Eur J Integr Med       Date:  2019-11-10       Impact factor: 1.314

5.  Methodological quality of systematic reviews on Chinese herbal medicine: a methodological survey.

Authors:  Andy K L Cheung; Leonard Ho; Charlene H L Wong; Irene X Y Wu; Fiona Y T Ke; Vincent C H Chung
Journal:  BMC Complement Med Ther       Date:  2022-02-23

6.  Characteristics and Methodological Quality of Meta-Analyses on Hypertension Treatments-A Cross-Sectional Study.

Authors:  Xin Yin Wu; Xin Jian Du; Robin S T Ho; Clarence C Y Lee; Benjamin H K Yip; Martin C S Wong; Samuel Y S Wong; Vincent C H Chung
Journal:  J Clin Hypertens (Greenwich)       Date:  2016-08-06       Impact factor: 3.738

Review 7.  Effectiveness of Chinese herbal medicine for cancer palliative care: overview of systematic reviews with meta-analyses.

Authors:  Vincent C H Chung; Xinyin Wu; Edwin P Hui; Eric T C Ziea; Bacon F L Ng; Robin S T Ho; Kelvin K F Tsoi; Samuel Y S Wong; Justin C Y Wu
Journal:  Sci Rep       Date:  2015-12-16       Impact factor: 4.379

Review 8.  Chinese Herbal Medicine and Salmeterol and Fluticasone Propionate for Chronic Obstructive Pulmonary Disease: Systematic Review and Network Meta-Analysis.

Authors:  Vincent C H Chung; Xinyin Wu; Polly H X Ma; Robin S T Ho; Simon K Poon; David S Hui; Samuel Y S Wong; Justin C Y Wu
Journal:  Medicine (Baltimore)       Date:  2016-05       Impact factor: 1.889

9.  Barriers and facilitators to promoting evidence uptake in Chinese medicine: a qualitative study in Hong Kong.

Authors:  Charlene Hoi Lam Wong; Jeffrey Van Ho Tse; Per Nilsen; Leonard Ho; Irene Xin Yin Wu; Vincent Chi Ho Chung
Journal:  BMC Complement Med Ther       Date:  2021-07-15
  9 in total

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