Evidence map›Paper›PMID 37193181›Full record

ReviewAmerican journal of translational research2023

The potential of Chinese medicines in the treatment of hyperuricemia.

Jiaqi Tang, Hongyan Gao, Yanqiu Xu, Jingru Chen, Bin Wu

Open access · greenAbstract readReview
In one paragraph

Review in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.4field-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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Multidimensional therapeutic advantages ofFrontiers in endocrinology · 2026
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Frontiers in nutrition · 2025
    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

5 authors at 2 institutions in 1 country.

Jiaqi TangCollege of Traditional Chinese Medicine, Chongqing Medical University Chongqing 400016, P. R. China.
Hongyan GaoChongqing Key Laboratory of Traditional Chinese Medicine to Prevent and Treat Autoimmune Diseases Chongqing 400021, P. R. China.
Yanqiu XuCollege of Traditional Chinese Medicine, Chongqing Medical University Chongqing 400016, P. R. China.
Jingru ChenHunan University of Traditional Chinese Medicine Changsha 410208, P. R. China.
Bin WuDepartment of Rheumatology, Chongqing Hospital of Traditional Chinese Medicine Chongqing 400021, P. R. China.
First People's Hospital of Chongqing · CNHunan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The annual incidence of gout is increasing along with lifestyle and dietary changes. Accumulation of urate crystals in joints and tissues when the amount of uric acid exceeds its saturation concentration causes acute inflammation that leads to gout. Reducing the serum uric acid concentration is the key to treating gout. Allopurinol, febuxostat, benzbromarone, and other drugs are effective, but side effects of treatment such as toxicity and recurrence after drug withdrawal cannot be ignored. Recent studies have found that many Chinese medicines are effective and safe, provide durable efficacy, and are associated with low recurrence rates. This article reviews recent investigations of Chinese medicines for lowering uric acid, including components such as berberine, luteolin, and others; single medicines such as

Indexed as

Chinese medicinesHyperuricemiauric acid loweringuric acid metabolism transporterxanthine oxidase

Identifiers

PMID37193181
PMCPMC10182497
OpenAlexW4376871603

What OpenQuestion holds

Textmetadata
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.