Evidence map›Paper›PMID 29213243›Full record

ArticleFrontiers in pharmacology2017

Mechanism of Chinese Medicine Herbs Effects on Chronic Heart Failure Based on Metabolic Profiling.

Kuo Gao, Huihui Zhao, Jian Gao, Binyu Wen, Caixia Jia, Zhiyong Wang, Feilong Zhang, Jinping Wang, Hua Xie, Juan Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 12% 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.

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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Effects ofFrontiers in pharmacology · 2020
    Article
  9. 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

12 authors at 1 institution in 1 country.

Kuo GaoSchool of Preclinical Medicine, Beijing University of Chinese Medicine, Beijing, China.
Huihui ZhaoSchool of Preclinical Medicine, Beijing University of Chinese Medicine, Beijing, China.
Jian GaoSchool of Preclinical Medicine, Beijing University of Chinese Medicine, Beijing, China.
Binyu WenBeijing University of Chinese Medicine, Dongfang Hospital, Beijing, China.
Caixia JiaSchool of Preclinical Medicine, Beijing University of Chinese Medicine, Beijing, China.
Zhiyong WangFengNing Chinese Medicine Hospital, FengNing, China.
Feilong ZhangSchool of Preclinical Medicine, Beijing University of Chinese Medicine, Beijing, China.
Jinping WangSchool of Preclinical Medicine, Beijing University of Chinese Medicine, Beijing, China.
Hua XieSchool of Preclinical Medicine, Beijing University of Chinese Medicine, Beijing, China.
Juan WangSchool of Preclinical Medicine, Beijing University of Chinese Medicine, Beijing, China.
Wei WangSchool of Preclinical Medicine, Beijing University of Chinese Medicine, Beijing, China.
Jianxin ChenSchool of Preclinical Medicine, Beijing University of Chinese Medicine, Beijing, China.
Beijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic heart failure (CHF) is a major public health problem in huge population worldwide. The detailed understanding of CHF mechanism is still limited. Zheng (syndrome) is the criterion of diagnosis and therapeutic in Traditional Chinese Medicine (TCM). Syndrome prediction may be a better approach for understanding of CHF mechanism basis and its treatment. The authors studied disturbed metabolic biomarkers to construct a predicting mode to assess the diagnostic value of different syndrome of CHF and explore the Chinese herbal medicine (CHM) efficacy on CHF patients. A cohort of 110 patients from 11 independent centers was studied and all patients were divided into 3 groups according to TCM syndrome differentiation: group of Qi deficiency syndrome, group of Qi deficiency and Blood stasis syndrome, and group of Qi deficiency and Blood stasis and Water retention syndrome. Plasma metabolomic profiles were determined by UPLC-TOF/MS and analyzed by multivariate statistics. About 6 representative metabolites were highly possible to be associated with CHF, 4, 7, and 5 metabolites with Qi deficiency syndrome, Qi deficiency and Blood stasis syndrome, and Qi deficiency and Blood stasis and Water retention syndrome (VIP > 1,

Indexed as

chronic heart failuremetabolomicssyndrometraditional Chinese medicineUPLC-TOF/MS

Identifiers

PMID29213243
PMCPMC5702651
OpenAlexW2769375634

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.