ArticleInternational journal of general medicine2021
Analysis of Risk Factors for Changes in the Renal Two-Dimensional Image in Gout Patients.
Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Machine learning models for predicting renal injury in patients with gout.Renal failure · 2025Article
- Analysis of risk factors for changes of renal artery resistance indexes in gout patients by ultrasound colour Doppler.Rheumatology advances in practice · 2024Article
- Regulating Lipid Metabolism in Gout: A New Perspective with Therapeutic Potential.International journal of general medicine · 2024Review
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore the effects of different blood uric acid levels in gout patients on the two-dimensional image of the kidney and the risk factors for gout-related kidney damage for providing clinical evidence to enable early prevention and treatment of gout-related kidney damage.
methodsWe obtained information of 227 patients with primary gout and estimated the association between two-dimensional kidney images and clinical indicators using binary logistic regression.
resultsOur study showed that different uric acid levels, age, disease course, cystatin C (CysC) level, and γ-glutamyl transpeptidase level were correlated with echo of the renal medulla (
conclusionOur study revealed disease course, AST level, CREA level, tophi, PLT count, HDL-C level, CysC level and CRP level may be important predictors of renal image changes.
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