Evidence map›Paper›PMID 25712236›Full record

ArticleJournal of nephrology2015

Diagnostic value of quantitative contrast-enhanced ultrasound (CEUS) for early detection of renal hyperperfusion in diabetic kidney disease.

Ling Wang, Jian Wu, Jia-Fen Cheng, Xin-Ying Liu, Fang Ma, Le-Hang Guo, Jun-Mei Xu, Tianfu Wu, Chandra Mohan, Ai Peng and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Utility of Contrast-Enhanced Ultrasound for the Assessment of Skeletal Muscle Perfusion in Diabetes Mellitus: A Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. [The research and application advances of medical imaging techniques in early renal function assessment of chronic kidney disease].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2019
    Review
  20. 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

12 authors at 3 institutions in 2 countries.

Ling WangDepartment of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University, No. 301 Yanchangzhong Road, District of Zhabei, Shanghai, 200072, China. nowax@126.com.
Jian WuDepartment of Ultrasound in Medicine, Shanghai Tenth People's Hospital, Tongji University, No. 301 Yanchangzhong Road, District of Zhabei, Shanghai, 200072, China. apagar@126.com.
Jia-Fen ChengDepartment of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University, No. 301 Yanchangzhong Road, District of Zhabei, Shanghai, 200072, China. 034379@tongji.edu.cn.
Xin-Ying LiuDepartment of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University, No. 301 Yanchangzhong Road, District of Zhabei, Shanghai, 200072, China. singing_l@163.com.
Fang MaDepartment of Ultrasound, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China. mafang59@126.com.
Le-Hang GuoDepartment of Ultrasound in Medicine, Shanghai Tenth People's Hospital, Tongji University, No. 301 Yanchangzhong Road, District of Zhabei, Shanghai, 200072, China. gopp1314@hotmail.com.
Jun-Mei XuDepartment of Ultrasound in Medicine, Shanghai Tenth People's Hospital, Tongji University, No. 301 Yanchangzhong Road, District of Zhabei, Shanghai, 200072, China. Junmei_510@hotmail.com.
Tianfu WuDepartment of Biomedical Engineering, University of Houston, 3605 Cullen Blvd, Houston, TX, 77204, USA. tianfu.wu@gmail.com.
Chandra MohanDepartment of Biomedical Engineering, University of Houston, 3605 Cullen Blvd, Houston, TX, 77204, USA. cmohan@central.uh.edu.
Ai PengDepartment of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University, No. 301 Yanchangzhong Road, District of Zhabei, Shanghai, 200072, China. pengai@tongji.edu.cn.
Hui-Xiong XuDepartment of Ultrasound in Medicine, Shanghai Tenth People's Hospital, Tongji University, No. 301 Yanchangzhong Road, District of Zhabei, Shanghai, 200072, China. xuhuixiong@hotmail.com.
Ya-Xiang SongDepartment of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University, No. 301 Yanchangzhong Road, District of Zhabei, Shanghai, 200072, China. yaxiangs@126.com.
Tongji University · CNUniversity of Houston · USShanghai Sixth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the diagnostic value of quantitative contrast-enhanced ultrasound (CEUS) for early detection of renal hyperperfusion in diabetic kidney disease (DKD). MATERIALS AND

methods55 DKD patients with estimated glomerular filtration rate (eGFR) >30 ml/min/1.73 m(2) and 26 normal controls (NCs) were enrolled. Clinical data was well documented. Blood samples were drawn for evaluation of renal function including blood urea nitrogen (BUN), serum creatinine (SCr) and serum uric acid (SUA), and urine samples were assayed for total protein quantification, and various microprotein markers. According to eGFR level, DKD patients were divided into early-stage DKD (eGFR ≥90 ml/min/1.73 m(2), n = 18) and middle-stage DKD (eGFR 30-90 ml/min/1.73 m(2), n = 37). Based on urinary microalbumin/creatinine ratio (MALB/UCR), early-stage DKD patients were further classified into two groups: MALB/UCR <10 g/mol (n = 11) and MALB/UCR ≥10 g/mol (n = 7). Then, CEUS was performed to observe the real-time renal perfusion, and low acoustic power contrast-specific imaging was used for quantitative analysis.

resultsThe renal perfusion images of CEUS were well developed successively. The corresponding perfusion curves based on echo-power signals in time series were constructed. Quantitative analysis showed that area under the descending curve (AUC2) was significantly increased in early-stage DKD compared to middle-stage DKD (p < 0.05), but AUC showed no significant difference. Further comparison between different MALB/UCR levels of early-stage DKD showed that patients with MALB/UCR ≥10 g/mol had significantly increased levels of AUC, AUC2 and proteinuria than patients with low MALB/UCR (p < 0.05). Also, high MALB/UCR DKD patients had increased proteinuria but similar eGFR compared to low MALB/UCR patients.

conclusionRenal microvascular hyperperfusion may be responsible for overt proteinuria until decline of renal filtration in DKD. AUC2 could be an early and sensitive marker for early renal injury and renal microvascular hyperperfusion in DKD.

Indexed as

Renal CirculationAgedAlbuminuriaArea Under CurveCase-Control StudiesContrast MediaCreatinineDiabetic NephropathiesFemaleGlomerular Filtration RateHumansKidneyMaleMicrovesselsMiddle AgedPhospholipidscontrast agent BR1Contrast MediaCreatininePhospholipidsSulfur HexafluorideContrast-enhanced ultrasoundDiabetic kidney diseaseRenal perfusion

Identifiers

PMID25712236
OpenAlexW1966052145

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.