Evidence map›Paper›PMID 31329940›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2020

The utility of magnetic resonance imaging for noninvasive evaluation of diabetic nephropathy.

Robert S Brown, Maryellen R M Sun, Isaac E Stillman, Teresa L Russell, Sylvia E Rosas, Jesse L Wei

Registry-linked trialOpen access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06452862 (the Value of Multimodal Magnetic Resonance Imaging in the Diagnosis and Treatment Monitoring of Diabetic Kidney Disease), which is not on this map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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.

NCT06452862 recruitingnot on this mapstarted 2024, after this paper: background citation

the Value of Multimodal Magnetic Resonance Imaging in the Diagnosis and Treatment Monitoring of Diabetic Kidney Disease

TypeobservationalSponsorShengjing HospitalRan2024 to 2028Enrolled150ConditionsDiabetic Kidney DiseaseArmsMagnetic Resonance Imaging
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

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  12. Evaluation of Early Renal Changes in Type 2 Diabetes Mellitus Using Multiparametric MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Robert S BrownDivision of Nephrology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Maryellen R M SunDepartment of Radiology, Lowell General Hospital, Lowell, MA, USA.
Isaac E StillmanDepartment of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Teresa L RussellDepartment of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Sylvia E RosasKidney and Hypertension Unit, Joslin Diabetes Center, Boston, MA, USA.
Jesse L WeiDepartment of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Beth Israel Deaconess Medical Center · USHarvard University · USLowell General Hospital · US

Funding

Coordinating and Bioinformatics Unit for the MMPC/DiaCompU24DK076169 · NIDDK · AUGUSTA UNIVERSITY · PI MCINDOE, RICHARD A. · 2006 to 2018
$42.4M
NIDDK NIH HHS U24 DK076169
6 · The paper itself

Abstract

backgroundNoninvasive quantitative measurement of fibrosis in chronic kidney disease (CKD) would be desirable diagnostically and therapeutically but standard radiologic imaging is too variable for clinical usage. By applying a vibratory force, tissue shear wave stiffness can be measured by magnetic resonance elastography (MRE) that may correlate with progression of kidney fibrosis. Since decreased kidney perfusion decreases tissue turgor and stiffness, we combined newly available three-dimensional MRE shear stiffness measurements with MR arterial spin labeling (ASL) kidney blood flow rates to evaluate fibrosis in diabetic nephropathy.

methodsThirty individuals with diabetes and Stage 0-5 CKD and 13 control individuals without CKD underwent noncontrast MRE with concurrent ASL blood flow measurements.

resultsMRE cortical shear stiffness at 90 Hz was decreased significantly below controls in all CKD stages of diabetic nephropathy. Likewise, ASL blood flow decreased progressively from 480 ± 136 mL/min/100 g of cortical tissue in controls to 302 ± 95, 229 ± 7 and 152 ± 32 mL/min/100 g in Stages 3, 4 and 5 CKD, respectively. A magnetic resonance imaging (MRI) surrogate for the measured glomerular filtration fraction [surrogate filtration fraction = estimated glomerular filtration rate (eGFR)/ASL] decreased progressively from 0.21 ± 0.07 in controls to 0.16 ± 0.04 in Stage 3 and 0.10 ± 0.02 in Stage 4-5 CKD.

conclusionsIn this pilot study, MRI with ASL blood flow rates can noninvasively measure decreasing kidney cortical tissue perfusion and, with eGFR, a decreasing surrogate filtration fraction in worsening diabetic nephropathy that appears to correlate with increasing fibrosis. Differing from the liver, MRE shear stiffness surprisingly decreases with worsening CKD, likely related to decreased tissue turgor from lower blood flow rates.

Indexed as

Spin LabelsCase-Control StudiesDiabetic NephropathiesDisease ProgressionGlomerular Filtration RateHemodynamicsHumansMagnetic Resonance ImagingPilot ProjectsRenal Insufficiency, ChronicSpin Labelschronic kidney diseasediabetic nephropathykidney fibrosiskidney perfusionmagnetic resonance elastography

Identifiers

PMID31329940
PMCPMC7282829
OpenAlexW2941191633

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.