Evidence map›Paper›PMID 36438835›Full record

ArticleFrontiers in pharmacology2022

Integrating network pharmacology and experimental validation to clarify the anti-hyperuricemia mechanism of cortex phellodendri in mice.

Lieqiang Xu, Juanjuan Cheng, Jieyi Lu, Guoshu Lin, Qiuxia Yu, Yucui Li, Jiannan Chen, Jianhui Xie, Ziren Su, Qi Zhou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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  16. Microorganisms · 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

10 authors at 3 institutions in 1 country.

Lieqiang XuCollege of Bioscience and Bioengineering, Jiangxi Agricultural University, Nanchang, China.
Juanjuan ChengSchool of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jieyi LuSchool of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.
Guoshu LinSchool of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.
Qiuxia YuThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yucui LiSchool of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jiannan ChenSchool of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jianhui XieThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Ziren SuSchool of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.
Qi ZhouSchool of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.
Guangzhou University of Chinese Medicine · CNChina Resources (China) · CNJiangxi Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperuricemia (HUA), a common metabolic disease, is treated as the second-largest metabolic disease after diabetes in China. Cortex Phellodendri (CP) is one of the most frequently used herbal medicines for treating gout or HUA. However, the mechanism underlying the anti-HUA effect of CP is still unrevealed. Hence, this study aimed to explore the pharmacological mechanism of CP against HUA using network pharmacology coupled with

Indexed as

berberineCortex Phellodendrihyperuricemianetwork pharmacologyxanthine oxidase

Identifiers

PMID36438835
PMCPMC9692208
OpenAlexW4308936424

What OpenQuestion holds

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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.