Evidence map›Paper›PMID 36939806›Full record

ReviewPhenomics (Cham, Switzerland)2022

Chinese Medicine Phenomics (Chinmedphenomics): Personalized, Precise and Promising.

Chunchun Yuan, Weiqiang Zhang, Jing Wang, Chen Huang, Bing Shu, Qianqian Liang, Tingrui Huang, Jiucun Wang, Qi Shi, Dezhi Tang and 1 more

Abstract readReview
In one paragraph

Review in Phenomics (Cham, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. Development of Daruharidra (Current pharmaceutical biotechnology · 2024
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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

11 authors.

Chunchun Yuan *Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032 China.ORCID 0000-0002-4314-4990
Weiqiang Zhang *Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032 China.
Jing Wang *Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032 China.
Chen HuangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032 China.
Bing ShuKey Laboratory of the Ministry of Education about Theory and Treatment of Muscles and Bones, Shanghai, 200032 China.
Qianqian LiangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032 China.
Tingrui HuangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032 China.
Jiucun WangState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, 200433 China.
Qi ShiLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032 China.
Dezhi TangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032 China.
Yongjun WangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The systematicness of phenomics and Traditional Chinese Medicine (TCM) enable these two disciplines to interlink with each other. This article discussed the similarity in theory and application between TCM and phenomics and illustrates their respective advantages in diagnosis and treatment of diseases, forming a new discipline eventually. Chinese medicine phenomics (Chinmedphenomics) is built on classic TCM, combined with phenomics technology, and the development of which needs the mega cohort with TCM syndrome and the characteristics of precision medicine as well as multi-disciplinary cooperation, which is personalized, precise and promising, providing unique scientific insights into understanding human health.

Indexed as

Chinese medicine phenomics (Chinmedphenomics)Mega cohortMulti-disciplinary associationPrecision medicine

Identifiers

PMID36939806
PMCPMC9712866

What OpenQuestion holds

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Registered trials

None linked

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.