Evidence map›Paper›PMID 28245797›Full record

ArticleBMC nephrology2017

Blood pressure and age-related GFR decline in the general population.

Bjørn O Eriksen, Vidar T N Stefansson, Trond G Jenssen, Ulla D Mathisen, Jørgen Schei, Marit D Solbu, Tom Wilsgaard, Toralf Melsom

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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  4. Renal Functional Reserve and Its Association with eGFR Trajectories and Blood Pressure Patterns in Hypertensives with Preserved Renal Function.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026
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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 3 institutions in 1 country.

Bjørn O EriksenMetabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway. bjorn.odvar.eriksen@unn.no.ORCID http://orcid.org/0000-0002-5837-2806
Vidar T N StefanssonMetabolic 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.
Ulla D MathisenMetabolic 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.
Marit D SolbuMetabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway.
Tom WilsgaardDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.
Toralf MelsomMetabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway.
University Hospital of North Norway · NOUiT The Arctic University of Norway · NOOslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension is one of the most important causes of end-stage renal disease, but it is unclear whether elevated blood pressure (BP) also accelerates the gradual decline in the glomerular filtration rate (GFR) seen in the general population with increasing age. The reason may be that most studies have considered only baseline BP and not the effects of changes in BP, antihypertensive treatment and other determinants of GFR during follow-up. Additionally, the use of GFR estimated from creatinine or cystatin C instead of measurements of GFR may have biased the results because of influence from non-GFR related confounders. We studied the relationship between BP and GFR decline using time-varying variables in a cohort representative of the general population using measurements of GFR as iohexol clearance.

methodsWe included 1594 subjects aged 50 to 62 years without baseline diabetes, kidney-, or cardiovascular disease in the Renal Iohexol-clearance Survey in Tromsø 6 (RENIS-T6). GFR, BP, antihypertensive medication and all adjustment variables were ascertained at baseline, and at follow-up after a median observation time of 5.6 years in 1299 persons (81%). The relationship between GFR decline and BP was analyzed in linear mixed models.

resultsThe mean (standard deviation) GFR decline rate was 0.95 (2.23) mL/min/year. The percentage of persons with hypertension (systolic BP ≥ 140 mmHg, diastolic BP ≥ 90 mmHg or antihypertensive medication) increased from 42 to 52% between baseline and follow-up. In multivariable adjusted linear mixed models using time-varying independent variables measured at baseline and follow-up, higher systolic and diastolic BP were associated with slower GFR decline rates by 0.10 and 0.20 mL/min/year/10 mmHg, respectively (p < 0.05). The association was stronger in persons on antihypertensive medication than in others (p < 0.05 for the interaction between BP and antihypertensive medication).

conclusionsIn the medium-term, elevated BP is not associated with accelerated GFR decline in the general middle-aged population. In persons using antihypertensive medication, elevated BP is associated with a paradoxical slower GFR decline. Studies with even longer observation periods are needed to evaluate the ultimate effect of BP on kidney function.

Indexed as

AgingGlomerular Filtration RateModels, BiologicalComputer SimulationFemaleHumansHypertensionKidneyMaleMiddle AgedNorwayReference ValuesRenal Insufficiency, ChronicReproducibility of ResultsSensitivity and SpecificityAgeCardiovascularChronic renal failureElderlyEpidemiologyHypertension

Identifiers

PMID28245797
PMCPMC5331738
OpenAlexW2594408589

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.