Evidence map›Paper›PMID 42375700›Full record

ArticleKidney international reports2026

Prospective Study of Multiparametric Renal MRI for CKD Progression (AFiRM).

Susan Francis, Charlotte E Buchanan, Victoria Chester, Eleanor F Cox, Martin Craig, Neeraj Dhaun, Alexander J Daniel, Mark S Gilthorpe, Keith A Gillis, Matthew Hall and 12 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Kidney international reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04238299 (Application of Functional Renal MRI to Improve Assessment of Chronic Kidney Disease), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

NCT04238299 active not recruitingnot on this map

Application of Functional Renal MRI to Improve Assessment of Chronic Kidney Disease

TypeobservationalSponsorUniversity Hospitals of Derby and Burton NHS Foundation TrustRan2021 to 2033Enrolled486ConditionsChronic Kidney DiseasesArmsMultiparametric renal MRI
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

22 authors.

Susan FrancisSir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.
Charlotte E BuchananSir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.
Victoria ChesterDerby Clinical Trials Support Unit, University Hospitals of Derby and Burton NHS Foundation Trust (UHDB), Derby, UK.
Eleanor F CoxSir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.
Martin CraigSir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.
Neeraj DhaunEdinburgh Kidney Research Group, Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Alexander J DanielSir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.
Mark S GilthorpeObesity Institute, Leeds Beckett University, Leeds, UK.
Keith A GillisGlasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK.
Matthew HallRenal and Kidney Transplant Unit, Nottingham University Hospitals Trust, Nottingham, UK.
Parminder JudgeClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Philip A KalraRenal Services, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK.
Andrew LewingtonDepartment of Renal Medicine, Leeds Teaching Hospitals NHS Foundation Trust, Leeds, UK.
Iosif A MendichovszkyDepartment of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
David MorrisEdinburgh Kidney Research Group, Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Andrew N PriestDepartment of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Neil S SheerinInstitute of Cellular Medicine, Faculty of Medical Sciences, Newcastle University, Newcastle, UK.
Rachelle ShermanDerby Clinical Trials Support Unit, University Hospitals of Derby and Burton NHS Foundation Trust (UHDB), Derby, UK.
Steven SourbronDepartment of Medical Imaging Physics, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.
Maarten W TaalCentre for Kidney Research and Innovation, School of Medicine, University of Nottingham, Nottingham, UK.
David L ThomasDepartment of Translational Neuroscience and Stroke, UCL Queen Square Institute of Neurology, University College London, London, UK.
Nicholas M SelbyCentre for Kidney Research and Innovation, School of Medicine, University of Nottingham, Nottingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Chronic kidney disease (CKD) has major population health implications, but current imaging approaches provide limited pathophysiological insights. We designed a study to evaluate renal multiparametric magnetic resonance imaging (MRI; mpMRI) as a tool to improve diagnosis, risk stratification, disease monitoring, and therapeutic decision-making in CKD. Methods: The application of functional renal MRI to improve assessment of CKD (AFiRM study; NCT04238299) is a multicenter, prospective, observational cohort study in people with CKD. Participants underwent renal mpMRI using the harmonized cross-vendor UK Renal Imaging Network: MRI Acquisition and Processing Standardization (UKRIN-MAPS) protocol at baseline and at 2-years. Clinical data are collected annually for 4 years with kidney failure outcomes assessed at 10 years. Primary objectives are to determine associations between MRI measures of kidney morphology, inflammation, fibrosis, perfusion, and oxygenation with CKD progression, and to quantify longitudinal changes in mpMRI measures. A biopsy substudy compares mpMRI measures with histology to explore mechanistic processes including fibrosis. Results: Across 9 centers, 420 participants (biopsy substudy Conclusion: The AFiRM study has established a representative CKD cohort undergoing advanced renal mpMRI with long-term follow-up. This is an important resource to study how renal MRI measures and their longitudinal changes relate to CKD severity and progression.

Indexed as

chronic kidney diseaseCKDmultiparametric MRIprogression

Identifiers

PMID42375700
PMCPMC13312015

What Socratic holds

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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 Socratic graph.