Evidence map›Paper›PMID 35104815›Full record

Trial reportAmerican journal of nephrology2022

Associations of Serum Uromodulin and Urinary Epidermal Growth Factor with Measured Glomerular Filtration Rate and Interstitial Fibrosis in Kidney Transplantation.

Joe Chan, My Svensson, Tone M Tannæs, Bard Waldum-Grevbo, Trond Jenssen, Ivar A Eide

Registry-linked trialOpen access · hybridAbstract readClinical Trial
In one paragraph

Trial report in American journal of nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06210555 (Multiparametric MRI in a Prospective Cohort of Living Kidney Donors, Recipients, and Healthy Controls), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 17% 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.

NCT06210555 recruitingnot on this mapstarted 2024, after this paper: background citation

Multiparametric MRI in a Prospective Cohort of Living Kidney Donors, Recipients, and Healthy Controls: Correlations With Markers of Renal Function, Fibrosis and Ageing

TypeobservationalSponsorPatrick SchjelderupRan2024 to 2029Enrolled96ConditionsKidney Transplantation, Multiparametric Magnetic Resonance Imaging, Living Donors, Renal FibrosisArmsRenal transplantation, Living kidney donation
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Serum Biomarkers of Renal Fibrosis: A Systematic Review.International journal of molecular sciences · 2022
    Pooled it
  2. 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

6 authors at 2 institutions in 1 country.

Joe ChanDepartment of Renal Medicine, Akershus University Hospital, Lørenskog, Norway.
My SvenssonDepartment of Renal Medicine, Akershus University Hospital, Lørenskog, Norway.
Tone M TannæsDivision of Medicine, Department of Clinical Molecular Biology (EpiGen), Akershus University Hospital and University of Oslo, Lørenskog, Norway.
Bard Waldum-GrevboDepartment of Nephrology, Oslo University Hospital Ullevål, Oslo, Norway.
Trond JenssenInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Ivar A EideDepartment of Renal Medicine, Akershus University Hospital, Lørenskog, Norway.
Oslo University Hospital · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNoninvasive biomarkers that reflect tubular health and allow early recognition of accelerated graft fibrosis development are warranted. Serum uromodulin (sUmod) and urinary epidermal growth factor (uEGF) originate from kidney tubules and may reflect functional nephron mass. The aim of this study was to investigate the associations between sUmod and uEGF with measured glomerular filtration rate (mGFR) and kidney allograft interstitial fibrosis percentage (IF%) score.

methodssUmod and uEGF measurements, mGFR by iohexol-clearance and kidney allograft biopsies were obtained from kidney transplant recipients (KTRs) included in the Omega-3 fatty acids in Renal Transplantation (ORENTRA) trial at 8 weeks (baseline) and at 1 year after transplantation (end of study). Associations were analyzed with univariable and multivariable linear regression.

resultsNinety patients at baseline and 48 patients at end of study had complete study variable assessments. uEGF normalized to urinary creatinine (uEGF/Cr) was associated with mGFR both at baseline (standardized β-coefficient [Std. β-coeff] = 0.457 [p = <0.001]) and at end of study (Std. β-coeff = 0.637 [p = <0.001]). sUmod was only associated with mGFR at end of study (Std. β-coeff = 0.443 [p = 0.002]). uEGF/Cr, sUmod, and mGFR were associated with graft IF% score both at baseline (Std. β-coeff = -0.349 [p = 0.001], -0.274 [p = 0.009] and -0.289 [p = 0.006], respectively) and at end of study (Std. β-coeff = -0.365 [p = 0.011], -0.347 [p = 0.016] and -0.405 [p = 0.004], respectively). The results remained largely unchanged in multivariable analysis.

conclusionuEGF/Cr and sUmod were associated with mGFR and graft IF% score. Our results indicate a possible role of uEGF/Cr and sUmod in the follow-up of KTRs.

Indexed as

Epidermal Growth FactorKidney TransplantationCreatinineFibrosisGlomerular Filtration RateHumansUromodulinCreatinineEpidermal Growth FactorUromodulinEpidermal growth factorInterstitial fibrosisKidney transplantationMeasured glomerular filtration rateUromodulin

Identifiers

PMID35104815
PMCPMC9116601
OpenAlexW4210763371

What OpenQuestion holds

Textmetadata
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.