Evidence map›Paper›PMID 40065905›Full record

ArticleJournal of inflammation research2025

Noninvasive Quantitative Evaluation of Proliferative Lupus Nephritis Based on Ultrasonic Viscoelastic Imaging.

Han Yuan, Yuanyuan Chen, Liyan Wei, Xinhong Liao, Yong Gao

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Han YuanDepartment of Ultrasound, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.
Yuanyuan ChenDepartment of Ultrasound, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.
Liyan WeiDepartment of Ultrasound, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.
Xinhong LiaoDepartment of Ultrasound, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.
Yong GaoDepartment of Ultrasound, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.ORCID 0000-0002-2468-9282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the role of ultrasonic viscoelastic imaging in predicting proliferative lupus nephritis (PLN). Methods: We prospectively used ultrasonic viscoelastic imaging to evaluate 143 patients with lupus nephritis (LN), who underwent kidney biopsies from May 2023 to June 2024. Sixty healthy volunteers served as the control group. Patients were categorized as 90 cases of PLN, and 53 cases of nonproliferative lupus nephritis (nPLN). Ultrasonic viscoelastic imaging was employed to quantitatively analyze kidney cortex elasticity (Emean), viscosity coefficient (Vmean) and dispersion coefficient (Dmean). Semi-quantitative assessment of the lesion tissues was conducted based on the activity index and chronic index scoring system established by the National Institutes of Health (NIH) in 2018. The relationship among clinicopathological, conventional ultrasound factors and viscoelastic parameters was evaluated. Results: Viscoelastic parameters (Emean, Vmean, and Dmean) significantly differed among the healthy control, PLN, and nPLN groups (all Conclusion: As a noninvasive examination method, ultrasonic viscoelastic imaging is beneficial for identifying PLN.

Indexed as

active indexchronic indexelasticitylupus nephritisproliferative lupus nephritisviscosity

Identifiers

PMID40065905
PMCPMC11892506

What Socratic 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 Socratic graph.