Evidence map›Paper›PMID 24206600›Full record

ReviewAdvances in chronic kidney disease2013

MRI-detectable nanoparticles: the potential role in the diagnosis of and therapy for chronic kidney disease.

Jennifer R Charlton, Scott C Beeman, Kevin M Bennett

Abstract readReview
In one paragraph

Review in Advances in chronic kidney disease, 2013. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Current MRI techniques for the assessment of renal disease.Current opinion in nephrology and hypertension · 2015
    Review
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

3 authors.

Jennifer R CharltonDepartment of Pediatrics, Division of Nephrology, University of Virginia Medical Center, Charlottesville, VA; Department of Radiology, Washington University School of Medicine, St. Louis, MO; and Department of Biology, College of Natural Sciences, University of Hawaii at Manoa, Honolulu, HI.
Scott C Beeman
Kevin M Bennett

Funding

MRI Techniques to Measure Whole-Kidney NephronR21DK091722 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI BENNETT, KEVIN M · 2012 to 2013
$399k
NIDDK NIH HHS DK091722NIDDK NIH HHS R21 DK091722PHS HHS 12BGIA9840020
6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a common, deadly, and expensive threat to public health. Patients susceptible to the development of CKD are difficult to identify because there are few noninvasive clinical techniques and markers to assess early kidney dysfunction. Noninvasive imaging techniques are being developed to quantitatively measure kidney morphology and function in preclinical research and in clinical trials. Magnetic resonance imaging (MRI) techniques in particular have the potential to provide structural and functional information in the kidney. Novel molecular imaging techniques, using targeted magnetic nanoparticles that exploit the characteristics of the endogenous protein, ferritin, have been developed in conjunction with MRI to count every perfused glomerulus in the kidney and measure their individual volumes. This technique could open the door to the possibility of prospectively assessing and eventually reducing a patient's risk for progression to CKD. This review highlights the potential clinical benefits of early detection in patients predisposed to CKD and discusses technologic and regulatory hurdles to the translation of these molecular MRI techniques to provide early diagnosis of CKD.

Indexed as

FerritinsHumansKidney GlomerulusMagnetic Resonance ImagingNanoparticlesRenal Insufficiency, ChronicFerritinsChronic kidney diseaseGlomerular counting and sizingKidneyMagnetic resonance imagingStereology

Identifiers

PMID24206600
PMCPMC6091865

What OpenQuestion holds

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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.