Evidence map›Paper›PMID 38178118›Full record

SynthesisBMC complementary medicine and therapies2024

Comprehensive consideration of multiple determinants from evidence to recommendations in guidelines for most traditional Chinese medicine was suboptimal: a systematic review.

Yi-Cheng Gao, Rui Cao, Zhi-Han Liu, Ying-Di Liao, Li-Yuan Tao, Yu-Ting Feng, Qian-Yun Chai, Min-Jing Luo, Yu-Tong Fei

Abstract readSystematic Review
In one paragraph

Synthesis in BMC complementary medicine and therapies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yi-Cheng GaoCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Rui CaoCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Zhi-Han LiuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Ying-Di LiaoKunming Traditional Chinese Medicine Hospital, Kunming, China.
Li-Yuan TaoResearch Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China.
Yu-Ting FengCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Qian-Yun ChaiCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Min-Jing LuoCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Yu-Tong FeiCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China. feiyt@bucm.edu.cn.

Funding

The Key Research and Development Program of Xinjiang Uygur Autonomous Region 2021B03006-4
6 · The paper itself

Abstract

backgroundThe overall comprehensive consideration of the factors influencing the recommendations in the traditional Chinese medicine (TCM) guidelines remains poorly studied. This study systematically evaluate the factors influencing recommendations formation in the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) clinical practice guidelines (CPGs) and TCM CPGs.

methodsThis was a methodological review in which we searched six databases and multiple related websites. The GRADE CPGs were identified as the guidelines developed by the GRADE Working Group or the two Co-Chairs. For the TCM CPGs, we randomly selected guidelines that were published by the TCM or integrative medicine academic societies from China mainland (published by the TCM or integrative medicine academic societies of China mainland). Two reviewers independently screened and extracted data. We included CPGs published in 2018-2022. We extracted information on the influencing factors of evidence to recommendation and conducted the analyses using descriptive statistics and calculated the proportion of relevant items by IBM SPSS Statistics and Microsoft Excel to compare the differences between the GRADE CPGs and the TCM CPGs.

resultsForty-five GRADE CPGs (including 912 recommendations) and 88 TCM CPGs (including 2452 recommendations) were included. TCM recommendations mainly considered the four key determinants of desirable anticipated effects, undesirable anticipated effects, balance between desirable and undesirable effects, certainty of evidence, with less than 20% of other dimensions. And TCM CPGs presented more strong recommendations (for or against) and inappropriate discordant recommendations than GRADE CPGs. GRADE CPGs were more comprehensive considered about the factors affecting the recommendations, and considered more than 70% of all factors in the evidence to recommendation.

conclusionsThe TCM CPGs lack a comprehensive consideration of multiple influencing determinants from evidence to recommendations. In the future, the correct application of the GRADE approaches should be emphasized.

Indexed as

Integrative MedicineMedicine, Chinese TraditionalChinaDatabases, FactualClinical practice guidelinesDiscordant recommendationsEvidence to recommendationInappropriate discordant recommendationsTraditional Chinese Medicine

Identifiers

PMID38178118
PMCPMC10765706

What OpenQuestion holds

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Registered trials

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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.