Evidence map›Paper›PMID 37799023›Full record

ArticleIntegrative cancer therapies

A Delphi Study of Expert Consensus on Chinese Medicine Syndrome Differentiation and Herbal Use for Early Breast Cancer.

Qianqian Guo, Anthony Lin Zhang, Charlie Changli Xue, Meaghan E Coyle, Qianjun Chen

Abstract readConsensus Statement
In one paragraph

Article in Integrative cancer therapies. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

5 authors.

Qianqian GuoChina-Australia International Research Centre for Chinese Medicine, STEM College, RMIT University, Bundoora, VIC, Australia.ORCID 0000-0001-6360-9911
Anthony Lin ZhangChina-Australia International Research Centre for Chinese Medicine, STEM College, RMIT University, Bundoora, VIC, Australia.
Charlie Changli XueChina-Australia International Research Centre for Chinese Medicine, STEM College, RMIT University, Bundoora, VIC, Australia.
Meaghan E CoyleChina-Australia International Research Centre for Chinese Medicine, STEM College, RMIT University, Bundoora, VIC, Australia.
Qianjun ChenThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesChinese herbal medicine (CHM) is widely used in breast cancer, but there is no consensus on the Chinese medicine (CM) syndromes in the different conventional treatment stages (preoperative, postoperative, chemotherapy, radiation therapy and endocrine therapy) of early breast cancer. This Delphi study aimed to achieve expert consensus on the CM syndromes, signs and symptoms, and the Chinese herbal formulae for early breast cancer.

methodsThirty senior CM clinicians with expertise in managing breast cancer were enrolled. The syndromes selected by ≥50% of experts and the corresponding most common Chinese herbal formulae were considered a consensus. Consensus on signs and symptoms was defined as a median score ≥4 (the item was important or very important) and ≥70% of experts rating the sign or symptom as 4 (important) or 5 (very important) on a 5-point Likert scale.

resultsThree survey rounds were conducted from 15 October 2021 to 10 March 2022. Consensus was reached with 3 syndromes confirmed for each treatment stage. Several syndromes, such as dual deficiency of

conclusionsThis Delphi study achieved consensus on the most common CM syndromes, corresponding signs and symptoms, and the most common formulae in each treatment stage of early breast cancer, providing an evidence-based approach for future clinical practice.

Indexed as

Breast NeoplasmsMedicine, Chinese TraditionalConsensusDelphi TechniqueFemaleHumansSurveys and QuestionnairesChinese herbal medicineChinese medicine syndromeDelphi studyearly breast cancer

Identifiers

PMID37799023
PMCPMC10557418

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.