Evidence map›Paper›PMID 38068333›Full record

ArticleJournal of clinical medicine2023

Multiparametric Renal Magnetic Resonance Imaging for Prediction and Annual Monitoring of the Progression of Chronic Kidney Disease over Two Years.

Charlotte E Buchanan, Huda Mahmoud, Eleanor F Cox, Benjamin L Prestwich, Rebecca A Noble, Nicholas M Selby, Maarten W Taal, Susan T Francis

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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 2 institutions in 1 country.

Charlotte E BuchananSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, UK.
Huda MahmoudCentre for Kidney Research and Innovation, University of Nottingham, Royal Derby Hospital Campus, Derby DE2 3DT, UK.
Eleanor F CoxSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, UK.ORCID 0000-0001-7899-0778
Benjamin L PrestwichSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, UK.
Rebecca A NobleCentre for Kidney Research and Innovation, University of Nottingham, Royal Derby Hospital Campus, Derby DE2 3DT, UK.
Nicholas M SelbyCentre for Kidney Research and Innovation, University of Nottingham, Royal Derby Hospital Campus, Derby DE2 3DT, UK.ORCID 0000-0003-0351-8326
Maarten W TaalCentre for Kidney Research and Innovation, University of Nottingham, Royal Derby Hospital Campus, Derby DE2 3DT, UK.
Susan T FrancisSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, UK.ORCID 0000-0003-0903-7507
University of Nottingham · GBNottingham University Hospitals NHS Trust · GB

Funding

Medical Research Council CiC2015032Medical Research Council MR/R02264X/1
6 · The paper itself

Abstract

backgroundMultiparametric renal Magnetic Resonance Imaging (MRI) provides a non-invasive method to assess kidney structure and function, but longitudinal studies are limited.

methodsA total of 22 patients with CKD category G3-4 (estimated glomerular filtration rate (eGFR) 15-59 mL/min/1.73 m

resultsAt baseline, T

conclusionLower renal cortex perfusion and higher T

Indexed as

chronic kidney diseasemagnetic resonance imagingmonitoringmultiparametricprogression

Identifiers

PMID38068333
PMCPMC10706883
OpenAlexW4388974280

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.