Evidence map›Paper›PMID 28702077›Full record

ArticleChinese medicine2017

A research on syndrome element differentiation based on phenomenology and mathematical method.

Enliang Yan, Jialin Song, Chaonan Liu, Wenxue Hong

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Chinese medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04843865 (A Systemic Approach to Study the Traditional Chinese Medicine as an Adjuvant Treatment in Breast Cancer Patients), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.7field-weighted citation impact, top 6% of its field
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.

NCT04843865 narecruitingnot on this mapstarted 2022, after this paper: background citation

A Systemic Approach to Study the Traditional Chinese Medicine as an Adjuvant Treatment in Breast Cancer Patients

TypeinterventionalSponsorUniversiti Tunku Abdul RahmanRan2022 to 2024Enrolled30ConditionsBreast Cancer, Musculoskeletal PainArmsChinese Herbs
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. The Causality Research between Syndrome Elements by Attribute Topology.Computational and mathematical methods in medicine · 2018
    Article
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

4 authors at 3 institutions in 1 country.

Enliang YanInstitute of Electrical Engineering, Yanshan University, No. 438, Hebei Avenue, Qinhuangdao, 066004 Hebei People's Republic of China.
Jialin SongInstitute of Electrical Engineering, Yanshan University, No. 438, Hebei Avenue, Qinhuangdao, 066004 Hebei People's Republic of China.
Chaonan LiuGuangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405 People's Republic of China.
Wenxue HongInstitute of Electrical Engineering, Yanshan University, No. 438, Hebei Avenue, Qinhuangdao, 066004 Hebei People's Republic of China.
Guangzhou University of Chinese Medicine · CNInstitute of Electrical Engineering · CNYanshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs an empirical medical system independent of conventional Western medicine (CWM), over thousands of years, traditional Chinese medicine (TCM) has established its own unique method of diagnosis and treatment. The perspective of holism and system in TCM is essentially different from the view of Reductionism in CWM. With the development of modern science and technology, the restriction of reductionism is more and more prominent, and researchers begin to pay more attention to holistic thinking in TCM. Confronted with the above situation, there is an urgent need to explore the diagnosis of TCM by the techniques of modern science.

methodsTo explore the feasibility of using modern science to describe and realize the diagnosis of TCM, in this paper, a method of syndrome element differentiation based on phenomenology is proposed. The proposed method is implemented by mathematical mapping, and then it is testified through analysis of 670 medical records: Based on the original mapping data between two data sets (set of syndrome elements and set of clinical manifestations), new mapping data is generated, and thus the corresponding quantitative diagnostic results are calculated and evaluated. Finally, knowledge discovery of the diagnosis results based on attribute partial-ordered structure diagram is conducted.

resultsThe value order's matching results between original and new results show that the matched degree of each record is no less than 65%, while there are at least 87% records whose matched degree is more than 80%. In addition, the knowledge discoveries of new results are basically identical with the ones of original results as well.

conclusionUsing phenomenology to describe syndrome differentiation should be feasible, and further research on mapping relations between various sets (symptoms, formulas, drugs) of TCM should be conducted and evaluated through clinical trials in future.

Indexed as

Attribute partial-ordered structure diagramMathematical mappingPhenomenologySyndrome differentiationSyndrome elementTraditional Chinese medicine

Identifiers

PMID28702077
PMCPMC5504654
OpenAlexW2735690143

What OpenQuestion holds

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Registered trials

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.