Evidence map›Paper›PMID 34189452›Full record

ReviewMetabolism open2021

A brief review on in vivo models for Gouty Arthritis.

Tulsi Patil, Arun Soni, Sanjeev Acharya

Open access · goldAbstract readReview
In one paragraph

Review in Metabolism open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

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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

3 authors.

Tulsi PatilSSR College of Pharmacy, Sayli Road, UT of Dadra & Nagar Haveli, Silvassa, 396230, India.
Arun SoniSSR College of Pharmacy, Sayli Road, UT of Dadra & Nagar Haveli, Silvassa, 396230, India.
Sanjeev AcharyaSSR College of Pharmacy, Sayli Road, UT of Dadra & Nagar Haveli, Silvassa, 396230, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gout is more common in men than in women, by a factor of 3.1-10.1. Gout prevalence and incidence have increased in recent decades, with prevalence reaching 11-13% and incidence reaching 0.4% in people over the age of 80. Age-related renal impairment, altered drug distribution, and increased prevalence of comorbidities have significant consequences for safe and effective gout pharmacotherapy. The Discovery of Fruitful in-vivo animal models needs the effective screening of drugs or formulations used in the treatment of gout. In vivo animal models of Gouty arthritis are extensively used to investigate pathogenic mechanisms governing inflammation-driven bone and cartilage damage. Four commonly utilized models include the Potassium oxonate induced hyperuricemic model, MSU crystals induced gouty arthritis animal model, Animal Model of Acute Gouty Arthritis with Hyperuricemia, and Diet-induced hyperuricemia. These offer unique advantages for correlating different aspects of gouty arthritis with human disease. In-vivo animal models served as testing beds for novel biological therapies, including cytokine blockers and small molecule inhibitors of intracellular signaling that have revolutionized gouty arthritis treatment. This review highlights a brief overview of in vivo experimental models for assessment of hypouricemic, anti-inflammatory, as well as renal protective effects of test compounds with some evaluation parameters in detail.

Indexed as

GoutGouty arthritisHyperuricemiaIn-vivo modelsMonosodium urate crystalsPotassium oxonateXanthine oxidase

Identifiers

PMID34189452
PMCPMC8219997
OpenAlexW3173060658

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.