Evidence map›Paper›PMID 40302019›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2025

High measured GFR as a predictor of all-cause mortality and cardiovascular disease in a prospective non-diabetic population cohort.

Bjørn O Eriksen, Matteo Fasiolo, Ulla D Mathisen, Trond G Jenssen, Jon V Norvik, Jørgen Schei, Vidar T N Stefansson, Toralf Melsom

Abstract readComparative Study
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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
–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

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

  1. Pooled it
  2. 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.

Bjørn O EriksenMetabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway.ORCID 0000-0002-5837-2806
Matteo FasioloSchool of Mathematics, University of Bristol, Bristol, UK.
Ulla D MathisenMetabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway.
Trond G JenssenMetabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway.
Jon V NorvikMetabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway.
Jørgen ScheiMetabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway.
Vidar T N StefanssonMetabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway.
Toralf MelsomMetabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway.

Funding

North Norwegian Regional Health Authority
6 · The paper itself

Abstract

backgroundHigh glomerular filtration rate (GFR) is generally regarded as beneficial but has been associated with cardiovascular disease (CVD) and all-cause mortality in epidemiological studies. However, these investigations may have been biased by the non-GFR determinants of estimated GFR (eGFR). We compared the risk of high baseline iohexol clearance [measured GFR (mGFR)] and eGFR based on creatinine or cystatin C in a prospective longitudinal population-based study of the Renal Iohexol Clearance Survey (RENIS) cohort.

methodsThe cohort consists of a representative sample of the general population of persons 50-64 years of age without baseline CVD, diabetes or kidney disease in the municipality of Tromsø, Norway. We investigated non-linear associations in general additive Cox regression models adjusted for CVD risk factors.

resultsDuring a median follow-up of 14.1 years, 232 CVD outcomes and 117 deaths occurred in a study population of 1552 persons. For all-cause mortality, no association was found for mGFR, but the previously reported association between high eGFR with creatinine (eGFRcrea) and increased risk was confirmed. For the CVD outcome, the best fitting model included interactions between mGFR or eGFR and the urine albumin:creatinine ratio (ACR). An mGFR or eGFR with cystatin C (eGFRcys) >85 ml/min/1.73 m2 was associated with an elevated hazard ratio for CVD in participants with high-normal urine ACR (>10 mg/g) only.

conclusionsA high mGFR or eGFRcys is not associated with an increased risk of CVD or all-cause mortality in the general non-diabetic population with normal urine ACR. Previous findings of an association with high eGFRcrea were most likely caused by non-GFR confounders. In persons with high-normal ACR, high mGFR or eGFRcys is associated with an increased risk of CVD.

Indexed as

Cardiovascular DiseasesGlomerular Filtration RateKidney Function TestsMortalityRisk AssessmentAlbuminuriaCause of DeathCreatinineCystatin CFemaleFollow-Up StudiesHeart Disease Risk FactorsHumansIohexolLongitudinal StudiesMaleCreatinineCystatin CIohexolalbuminuriaambulatory blood pressure monitoringcardiovascularchronic renal failurecreatininemicroalbuminuria

Identifiers

PMID40302019
PMCPMC12559795

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Registered trials

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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.