Evidence map›Paper›PMID 37065606›Full record

ArticleKidney diseases (Basel, Switzerland)2023

Musculoskeletal Ultrasound Evaluates Renal Injury and Predicts Renal Outcome in Patients with Gout.

Ze Li, Li He, Jiali Jiao, Junjie Jia, Haifan Xing, Ting Zhou, Qiming Zhang, Yini Chen, Lixin Jiang, Niansong Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Kidney diseases (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

11 authors at 2 institutions in 1 country.

Ze LiDepartment of Nephrology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Li HeDepartment of Nephrology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Jiali JiaoInstitute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.
Junjie JiaDepartment of Nephrology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Haifan XingDepartment of Nephrology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Ting ZhouGeneral Practice Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qiming ZhangDepartment of Nephrology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Yini ChenDepartment of Ultrasound, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Lixin JiangDepartment of Ultrasound, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Niansong WangDepartment of Nephrology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Ying FanDepartment of Nephrology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Shanghai Jiao Tong University · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Kidney injury diagnosis is often delayed in patients with gout. We aimed to determine the characteristics of gout patients with CKD using musculoskeletal ultrasound (MSUS) and whether MSUS could be used as an auxiliary assessment to evaluate kidney injury and predict renal outcome in patients with gout. Methods: Clinical information, laboratory indicators, and MSUS findings were collected and compared between gout-only patients (gout - CKD) and gout patients with CKD (gout + CKD). Multivariate logistic regression was applied to identify risk factors for clinical and MSUS characteristics in both groups. Correlation analysis between MSUS signs and kidney-related indicators was performed, and the effects of MSUS characteristics on renal prognosis were evaluated. Results: In total, 176 patients with gout were included, namely, 89 gout - CKD and 87 gout + CKD cases. After adjusting for confounders, the gout patients with CKD showed more frequent episodes in the previous year, higher ultrasound semiquantitative scores, and more tophi than gout patients without CKD. Additionally, the number of tophi, bone erosion, and synovial hypertrophy measured by MSUS was found to be negatively correlated with the eGFR. The existence of tophi was independently associated with an increased risk of a ≥10% decline in eGFR in the first-year follow-up (OR, 3.56; 95% CI, 1.382-9.176). Conclusions: Ultrasound-detected tophi, bone erosion, and synovial hypertrophy were associated with kidney injury in gout patients. The existence of tophi was associated with faster renal function deterioration. MSUS could be a potential auxiliary diagnostic method to evaluate kidney injury and predict renal outcome in gout patients.

Indexed as

Chronic kidney diseaseGoutMusculoskeletal ultrasoundPrognosisRenal injury

Identifiers

PMID37065606
PMCPMC10091006
OpenAlexW4309758102

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.