Evidence map›Paper›PMID 29652920›Full record

ArticlePloS one2018

Association of renal hyperfiltration with incident proteinuria - A nationwide registry study.

Seung Min Lee, Ju-Young Park, Min-Su Park, Jong Heon Park, Minseon Park, Hyung-Jin Yoon

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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

7 citing papers in PubMed.

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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

6 authors.

Seung Min LeeDepartment of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ju-Young ParkDepartment of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea.
Min-Su ParkDepartment of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jong Heon ParkBig Data Steering Department, National Health Insurance Service, Wonju, Gangwon, Republic of Korea.
Minseon ParkDepartment of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Hyung-Jin YoonDepartment of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-4432-4894

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To elucidate the association between renal hyperfiltration (RHF) and incident proteinuria, the data from 11,559,520 Korean adults who had undergone health screenings ≥ 3 times between 2009 and 2014 and had glomerular filtration rate (GFR) ≥60 mL/min/1.73m2 and negative dipstick test for proteinuria at baseline, were retrospectively analyzed. GFR was estimated with the Chronic Kidney Disease Epidemiology Collaboration equation based on serum creatinine, and RHF was defined as GFR >95th percentile adjusted for sex, age, body size, and diabetes and/or hypertension medication. The adjusted hazard ratio (aHR) of incident proteinuria in the RHF was 1.083 (95% CI, 1.069~1.097) compared to that of the non-RHF with Cox regression model. The association between RHF and incident proteinuria was not only in diabetic but also in non-diabetic subjects. This association was not observed in women (p for interaction <0.001). A reverse J-shaped association was found between the adjusted GFR slope and aHR of incident proteinuria. Both lower and higher GFR were associated with incident proteinuria in men. In conclusion, RHF was associated with incident proteinuria in men. Clinical studies are necessary to study whether the alleviation of RHF can prevent incident proteinuria.

Indexed as

Glomerular Filtration RateAdultBiomarkersFemaleHumansIncidental FindingsKidneyMaleMiddle AgedProportional Hazards ModelsProteinuriaRenal Insufficiency, ChronicRisk FactorsBiomarkers

Identifiers

PMID29652920
PMCPMC5898733

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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.