Evidence map›Paper›PMID 35273644›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Application of the Delphi Method in the Construction of an Evaluating and Grading Scale for Evidence of Disease Prevention and Treatment in Ancient Books of Traditional Chinese Medicine.

Lei Zhang, Xinfeng Guo, Shuo Yang, Sihong Liu, Hongtao Li, Guangkun Chen, Hongjie Gao, Huamin Zhang, Lin Tong

Abstract read
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Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Lei ZhangInstitute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, No. 16, Dongzhimen South Alley, Dongcheng District, Beijing 100700, China.ORCID https://orcid.org/0000-0002-9832-952X
Xinfeng GuoThe Second Clinical College of Guangzhou University of Chinese Medicine, No. 111, Dade Road, Yuexiu District, Guangzhou 510120, China.ORCID https://orcid.org/0000-0003-2699-9740
Shuo YangInstitute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, No. 16, Dongzhimen South Alley, Dongcheng District, Beijing 100700, China.ORCID https://orcid.org/0000-0001-6914-6604
Sihong LiuInstitute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, No. 16, Dongzhimen South Alley, Dongcheng District, Beijing 100700, China.ORCID https://orcid.org/0000-0001-5816-6597
Hongtao LiInstitute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, No. 16, Dongzhimen South Alley, Dongcheng District, Beijing 100700, China.ORCID https://orcid.org/0000-0003-2197-2303
Guangkun ChenInstitute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, No. 16, Dongzhimen South Alley, Dongcheng District, Beijing 100700, China.ORCID https://orcid.org/0000-0001-9687-6274
Hongjie GaoInstitute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, No. 16, Dongzhimen South Alley, Dongcheng District, Beijing 100700, China.ORCID https://orcid.org/0000-0001-5239-8338
Huamin ZhangInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, No. 16, Dongzhimen South Alley, Dongcheng District, Beijing 100700, China.ORCID https://orcid.org/0000-0002-7210-9203
Lin TongInstitute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, No. 16, Dongzhimen South Alley, Dongcheng District, Beijing 100700, China.ORCID https://orcid.org/0000-0002-0845-2496

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to develop a scale for evaluating and grading the evidence of prevention and treatment in ancient books of traditional Chinese medicine (TCM), in view of providing a reference for TCM clinicians, supporting the compilation or revision of evidence-based practice guidelines for TCM, improving the level of evidence-based research on ancient TCM books, and supplementing the development of evidence-based ancient TCM books. Methods: The Delphi method was used for consultation among 40 experts in relevant fields. Excel 2016 and SPSS 21.0 were used to analyze the positive coefficient, authority coefficient, degree of concentration, degree of coordination, and degree of expert consensus. Results: In the first round of the questionnaire, a total of 17 evaluation indexes were formulated in three aspects: 5 were deleted, 1 was modified according to the expert opinions, and no additional index was added. In addition, quantitative standards, weight assignment, and grading standards were developed according to the findings of the expert consultation. The positive coefficients of experts in the first and second rounds of questionnaires were 87.5% and 82.9%, respectively. The authority coefficient was 0.835 (>0.7). The coefficient of variation of the first and second rounds were 0.14∼0.29 and 0.09∼0.27, respectively. Kendall's coefficient of concordance of the first and second rounds were 0.135 ( Conclusion: The evaluation indexes and quantitative reference values of the developed scale conform to the characteristics of prevention and treatment evidence in ancient TCM books. It can provide a useful exploration tool for the evaluation and grading of evidences in TCM ancient books.

Identifiers

PMID35273644
PMCPMC8904085

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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.