Evidence map›Paper›PMID 29051733›Full record

ArticleFrontiers in pharmacology2017

System Pharmacology-Based Dissection of the Synergistic Mechanism of Huangqi and Huanglian for Diabetes Mellitus.

Shi-Jun Yue, Juan Liu, Wu-Wen Feng, Fei-Long Zhang, Jian-Xin Chen, Lan-Ting Xin, Cheng Peng, Hua-Shi Guan, Chang-Yun Wang, Dan Yan

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 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
11.7field-weighted citation impact, top 1% 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

73 citing papers in PubMed, 141 citations in OpenAlex.

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13 more citing papers are in PubMed but not listed here.

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

10 authors at 6 institutions in 1 country.

Shi-Jun YueBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Juan LiuBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Wu-Wen FengCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Fei-Long ZhangInformation Center, Beijing University of Chinese Medicine, Beijing, China.
Jian-Xin ChenInformation Center, Beijing University of Chinese Medicine, Beijing, China.
Lan-Ting XinKey Laboratory of Marine Drugs (Ministry of Education of China), School of Medicine and Pharmacy, Ocean University of China, Qingdao, China.
Cheng PengCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Hua-Shi GuanKey Laboratory of Marine Drugs (Ministry of Education of China), School of Medicine and Pharmacy, Ocean University of China, Qingdao, China.
Chang-Yun WangKey Laboratory of Marine Drugs (Ministry of Education of China), School of Medicine and Pharmacy, Ocean University of China, Qingdao, China.
Dan YanBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Chengdu University of Traditional Chinese Medicine · CNBeijing University of Chinese Medicine · CNQingdao National Laboratory for Marine Science and Technology · CNBeijing Shijitan Hospital · CNCapital Medical University · CNOcean University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapidly increasing diabetes mellitus (DM) is becoming a major global public health issue. Traditional Chinese medicine (TCM) has a long history of the treatment of DM with good efficacy. Huangqi and Huanglian are one of the most frequently prescribed herbs for DM, and the combination of them occurs frequently in antidiabetic formulae. However, the synergistic mechanism of Huangqi (

Indexed as

diabetesHuanglianHuangqisynergistic mechanismsystem pharmacology

Identifiers

PMID29051733
PMCPMC5633780
OpenAlexW2763036799

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.