Evidence map›Paper›PMID 33062010›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2020

Investigation of the Effects and Mechanisms of

Kai-Hui Zhang, Mei-Qi Wang, Lu-Ling Wei, Cheng-Jing Feng, Yu-Si Zhang, Jian-Bei Teng

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Hypouricemic Effects ofPlants (Basel, Switzerland) · 2021
    Article
  9. Article
  10. Review
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 at 1 institution in 1 country.

Kai-Hui ZhangCollege of Pharmaceutical Science, Guangxi University of Chinese Medicine, Nanning 530200, China.
Mei-Qi WangCollege of Pharmaceutical Science, Guangxi University of Chinese Medicine, Nanning 530200, China.
Lu-Ling WeiCollege of Pharmaceutical Science, Guangxi University of Chinese Medicine, Nanning 530200, China.
Cheng-Jing FengCollege of Pharmaceutical Science, Guangxi University of Chinese Medicine, Nanning 530200, China.
Yu-Si ZhangCollege of Pharmaceutical Science, Guangxi University of Chinese Medicine, Nanning 530200, China.
Jian-Bei TengCollege of Pharmaceutical Science, Guangxi University of Chinese Medicine, Nanning 530200, China.ORCID https://orcid.org/0000-0003-3120-0454
Guangxi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGout is a chronic disease that causes inflammatory arthritis, which is closely related to urate accumulation induced by a disorder of uric acid metabolism and the consequent deposition of monosodium urate crystals.

methodsAn animal model of hyperuricaemia was established using potassium oxonate (PO). We analysed the expression of uric acid transporter mRNA in the kidney in the hyperuricaemic mice after treatment with DLE. Simultaneously, a monosodium urate crystal-induced acute gouty arthritis rat model was used to evaluate the effects of DLE, according to the level of ankle swelling, as well as the protein levels of inflammatory receptors and cytokines, as assayed by WB and ELISA.

resultsDLE alleviated hyperuricaemia in mice and inhibited acute gouty arthritis in rats (

conclusionDLE alleviates hyperuricaemia by regulating the transcription level of uric acid transporters in the kidney. It also inhibits acute gouty arthritis by inhibiting the pathway of TLRs/MyD88/NF-

Identifiers

PMID33062010
PMCPMC7547349
OpenAlexW3091051605

What OpenQuestion holds

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Registered trials

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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.