Evidence map›Paper›PMID 37521748›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2023

Application of MR Imaging Characteristics in the Differentiation of Renal Changes Between Patients with Stage III Type 2 Diabetic Kidney Disease and Healthy People.

Hao Zhang, Baoting Yu, Hongsheng Yang, Hongfei Ying, Xiaolong Qu, Lilan Zhu, Cong Wang, Jun Ding

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 1 institution in 1 country.

Hao Zhang *Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People's Republic of China.
Baoting Yu *Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People's Republic of China.
Hongsheng YangDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People's Republic of China.
Hongfei YingDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People's Republic of China.
Xiaolong QuDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People's Republic of China.
Lilan ZhuDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People's Republic of China.
Cong WangDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People's Republic of China.
Jun DingDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130021, People's Republic of China.
Union Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the value of 1.5T magnetic resonance (MR) fat saturation-T2-weighted imaging (FS-T2WI) and apparent diffusion coefficient (ADC) imaging texture features in distinguishing the renal changes of patients with stage III type 2 diabetic kidney disease (DKD) from healthy people. Methods: This study collected 55 patients with stage III DKD (39 males and 16 females) and 33 healthy controls (13 males and 20 females) from December 2021 to June 2022 in the China-Japan Union Hospital of Jilin University. All subjects were randomly divided in a ratio of 6:4 to extract and screen the FS-T2WI and ADC texture features of the right kidney of the subjects. The area under the curve (AUC) was used to assess the diagnostic accuracy of each model. Results: There were significant differences between urea, creatinine and sex ( Conclusion: FS-T2WI and ADC imaging features based on 1.5 T MR had diagnostic value in the early diagnosis of DKD stage III, and the combined model of FS-T2WI and ADC had high diagnostic efficiency.

Indexed as

diabetic kidney diseasemagnetic resonance imagingradiomics

Identifiers

PMID37521748
PMCPMC10377559
OpenAlexW4385220753

What OpenQuestion holds

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LicenceCC BY-NC
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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.