Evidence map›Paper›PMID 26180535›Full record

ReviewEvidence-based complementary and alternative medicine : eCAM2015

Correlations between Phlegm Syndrome of Chinese Medicine and Coronary Angiography: A Systematic Review and Meta-Analysis.

Qiu-Yan Zhang, Hao Liang, Hou-Wu Gong, Hui-Yong Huang, Xiao-Qing Zhou, Xiang Sun

Abstract readReview
In one paragraph

Review in Evidence-based complementary and alternative medicine : eCAM, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Significance of traditional herbal medicine for dyslipidemia.American journal of translational research · 2023
    Review
  2. Article
  3. Review
  4. 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

6 authors.

Qiu-Yan ZhangHunan University of Chinese Medicine, Science-Education Industrial Park, Yuelu Region, Changsha 410208, China.
Hao LiangHunan University of Chinese Medicine, Science-Education Industrial Park, Yuelu Region, Changsha 410208, China ; The First Hospital of Hunan University of Chinese Medicine, No. 95 of Shaoshan Road, Yuhua Region, Changsha 410007, China.
Hou-Wu GongHunan University of Chinese Medicine, Science-Education Industrial Park, Yuelu Region, Changsha 410208, China.
Hui-Yong HuangHunan University of Chinese Medicine, Science-Education Industrial Park, Yuelu Region, Changsha 410208, China.
Xiao-Qing ZhouHunan University of Chinese Medicine, Science-Education Industrial Park, Yuelu Region, Changsha 410208, China.
Xiang SunNo. 8 Hospital of Changsha, No. 22 of Xingsha Street, Xingsha Region, Changsha 410100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phlegm is one of the most common patterns of coronary artery disease (CAD) in Chinese medicine. Our research was aimed at investigating the association between phlegm syndrome of CAD and coronary angiography (CAG) by meta-analysis. According to inclusion criteria, a total of 30 studies involving 5,055 CAD patients were included. The meta-analysis showed that phlegm syndrome patients were prone to multivessel disease (28 studies, OR = 1.53, 95% CI, 1.24 to 1.88, P < 0.01) and higher Gensini score (2 studies, OR = 5.90, 95% CI, 1.86 to 9.94, P = 0.004), but not obviously relevant to severe stenosis (≥75%) of coronary arteries (13 studies, OR = 1.20, 95% CI, 0.63 to 2.27, P = 0.57). We concluded that the coronary arteries lesions of CAD patients with phlegm syndrome were more severe than those with nonphlegm syndromes. Phlegm syndrome should, therefore, be regarded as a dangerous pattern of CAD with worse prognosis.

Identifiers

PMID26180535
PMCPMC4477186

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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.