Evidence map›Paper›PMID 32337064›Full record

ArticlePilot and feasibility studies2020

Pilot and feasibility trials in traditional Chinese medicine: a literature review of current practice.

Guowei Li, Darong Wu, Xuejiao Chen, Jie Zeng, Ziyi Li, Lehana Thabane

Abstract read
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Article in Pilot and feasibility studies, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Guowei Li *Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, 466 Newport Middle Road, Haizhu District, Guangzhou, 510317 Guangdong Province China.
Darong Wu *3State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xuejiao Chen *Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, 466 Newport Middle Road, Haizhu District, Guangzhou, 510317 Guangdong Province China.
Jie ZengCenter for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, 466 Newport Middle Road, Haizhu District, Guangzhou, 510317 Guangdong Province China.
Ziyi LiCenter for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, 466 Newport Middle Road, Haizhu District, Guangzhou, 510317 Guangdong Province China.
Lehana Thabane2Department of Health research methods, Evidence, and Impact (HEI), McMaster University, 1280 Main St West, Hamilton, ON L8S 4 L8 Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe guidelines for pilot and feasibility studies were published in 2016. Little is known about the guideline adherence of TCM (traditional Chinese medicine) pilot trials or whether the guidelines can significantly enhance the quality of implementation and reporting of TCM pilot trials. We aimed to investigate the guideline adherence, assess the impact of guidelines on TCM pilot trials, and discuss potential challenges specific to TCM pilot trials, by conducting a literature review.

methodsWe systematically searched MEDLINE, EMBASE, and CNKI to retrieve TCM pilot trials. We randomly chose 50 pilot trials from the eligible studies for analyses. The CONSORT extension to pilot and feasibility studies was used as a framework to assess the methodology and reporting quality of the studies.

resultsThe included studies had a guideline adherence level ranging from 4 to 96%, where the lowest adherence was found in the item 6c (prespecified criteria used to judge progression to future definitive trial). The guidance published in 2016 seemed to exert minimal effect on guideline adherence in TCM pilot trials. The unidentified issues related to TCM pilot trials from the guidelines included blinding, lack of standard formula of interventions, difficulty in comparison for effect assessment of interventions, and difficulty in bias control.

conclusionsThe current practice in TCM pilot trials required substantial improvement in the literature. Further endeavors are needed for training and dissemination of guideline adherence, and development of more detailed methodology in the field of TCM pilot trials.

Indexed as

FeasibilityGuideline adherencePilot trialTraditional Chinese medicine

Identifiers

PMID32337064
PMCPMC7175575

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.