Evidence map›Paper›PMID 34386657›Full record

ArticleKidney international reports2021

Association of High-Density Lipoprotein Cholesterol With GFR Decline in a General Nondiabetic Population.

Toralf Melsom, Jon Viljar Norvik, Inger Therese Enoksen, Vidar Stefansson, Renathe Rismo, Trond Jenssen, Marit D Solbu, Bjørn O Eriksen

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-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

8 citing papers in PubMed, 19 citations in OpenAlex.

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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 2 institutions in 1 country.

Toralf MelsomMetabolic and Renal Research Group, UiT Arctic University of Norway.
Jon Viljar NorvikMetabolic and Renal Research Group, UiT Arctic University of Norway.
Inger Therese EnoksenMetabolic and Renal Research Group, UiT Arctic University of Norway.
Vidar StefanssonMetabolic and Renal Research Group, UiT Arctic University of Norway.
Renathe RismoMetabolic and Renal Research Group, UiT Arctic University of Norway.
Trond JenssenMetabolic and Renal Research Group, UiT Arctic University of Norway.
Marit D SolbuMetabolic and Renal Research Group, UiT Arctic University of Norway.
Bjørn O EriksenMetabolic and Renal Research Group, UiT Arctic University of Norway.
University Hospital of North Norway · NOOslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough lower high-density lipoprotein cholesterol (HDL-C) levels are considered a risk factor for cardiovascular disease (CVD), experimental evidence suggest that aging, inflammation, and oxidative stress may remodel HDL-C, leading to dysfunctional HDL-C. Population studies on HDL-C and loss of the glomerular filtration rate (GFR) reported inconsistent results, but they used inaccurate estimates of the GFR and may have been confounded by comorbidity.

methodsWe investigated the association of HDL-C levels with risk of GFR loss in a general population cohort; the participants were aged 50-62 years and did not have diabetes, CVD, or chronic kidney disease (CKD) at baseline. The GFR was measured using iohexol-clearance at baseline (

resultsHigher HDL-C levels were associated with steeper GFR decline rates and increased risk of rapid GFR decline (>3 ml/min per 1.73 m

conclusionHigher HDL-C levels were independently associated with accelerated GFR loss in a general middle-aged nondiabetic population.

Indexed as

agingchronic kidney diseaseGFRglomerular filtration rateHDL cholesterolhigh-density lipoprotein cholesterol

Identifiers

PMID34386657
PMCPMC8343778
OpenAlexW3162431837

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.