Evidence map›Paper›PMID 37292101›Full record

ArticleHealth science reports2023

An ultrasonographic study of gouty arthritis: Synovitis and its relationship to clinical symptoms: A retrospective analysis.

Wenli Zheng, Peiming Lu, Dianhu Jiang, Lixian Chen, Yi Li, Haowen Deng

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Article in Health science reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 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

6 authors at 2 institutions in 1 country.

Wenli ZhengDepartment of Ultrasound Medicine The Second People's Hospital of Foshan Foshan Guangdong China.ORCID 0000-0003-1204-4732
Peiming LuDepartment of Ultrasound Medicine The Second People's Hospital of Foshan Foshan Guangdong China.
Dianhu JiangDepartment of Ultrasound Medicine The Second People's Hospital of Foshan Foshan Guangdong China.
Lixian ChenMedical Imaging Center The Second People's Hospital of Foshan Foshan Guangdong China.
Yi LiDepartment of Ultrasound Foshan Hospital of Traditional Chinese Medicine Foshan Guangdong China.
Haowen DengDepartment of Ultrasound Foshan Hospital of Traditional Chinese Medicine Foshan Guangdong China.
Foshan Second People's Hospital · CNFoshan Hospital of TCM · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Joint pain is the main symptom of acute attacks in patients with gout, which if not managed properly, can develop into chronic gout. The aim of this study was to investigate the correlation between ultrasound (US) features of gouty arthritis (GA) and its clinical manifestations to provide a basis for diagnosing and evaluating the disease. Methods: We retrospectively analyzed 182 sites in 139 patients with GA diagnosed by the Rheumatology and Immunology Department. Degree of pain was evaluated using the visual analog scale (VAS). Patients with GA were divided into active and inactive arthritis groups. Statistical differences between the two groups and the correlation between US features and clinical manifestations of the affected joints in patients with GA were analyzed. Results: The groups had statistical significance in joint effusion, power Doppler ultrasonography (PDS), double contour sign, and bone erosion ( Conclusions: Pathological US features, such as joint effusion, synovitis, PDS and bone erosion were more likely to be detected in GA with clinical signs and symptoms. PDS was positively correlated with joint effusion and synovitis, pain was closely related to PDS and joint effusion, which suggested that the clinical symptoms of GA were related to inflammation, reflecting the patient's condition to some extent. Therefore, musculoskeletal US is a useful clinical tool for managing patients with GA and can provide a reliable reference for diagnosing and treating GA.

Indexed as

gouty arthritispainsynovitisultrasonography

Identifiers

PMID37292101
PMCPMC10246460
OpenAlexW4379966386

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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.