Evidence map›Paper›PMID 29953557›Full record

Trial reportPloS one2018

Dipstick proteinuria predicts all-cause mortality in general population: A study of 17 million Korean adults.

Yeongkeun Kwon, Kyungdo Han, Yang Hyun Kim, Sungsoo Park, Do Hoon Kim, Yong Kyun Roh, Yong-Gyu Park, Kyung-Hwan Cho

Abstract readClinical Trial
In one paragraph

Trial report in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

8 authors.

Yeongkeun KwonDepartment of Family Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Kyungdo HanDepartment of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Yang Hyun KimDepartment of Family Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Sungsoo ParkCenter for Obesity and Metabolic Diseases, Korea University Anam Hospital, Seoul, Republic of Korea.
Do Hoon KimDepartment of Family Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Yong Kyun RohDepartment of Family Medicine, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Yong-Gyu ParkDepartment of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Kyung-Hwan ChoDepartment of Family Medicine, Korea University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-7876-919X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA quantitative basis for the use of dipstick urinalysis for risk assessment of all-cause mortality is scarce. Therefore, we investigated the association between dipstick proteinuria and all-cause mortality in a general population and evaluated the effect of confounders on this association.

methodsThe study population included 17,342,956 adults who underwent health examinations between 2005 and 2008 under the National Health Insurance System. Proteinuria was determined using a single dipstick urinalysis, and the primary outcome of this study was all-cause mortality. The prognostic impact of proteinuria was assessed by constructing a multivariable Cox model.

resultsThe mean age of the study population (53.24% male) was 46.06 years; 724,681 deaths from all causes occurred over a median follow-up period of 9.34 years (interquartile range 8.17-10.16), and the maximum follow-up was 12.12 years. After full adjustment for covariates, a higher level of dipstick proteinuria indicated a higher risk of all-cause death [Hazard ratios (95% confidence intervals); 1.22 (1.20-1.24), 1.47 (1.45-1.49), 1.81 (1.77-1.84), 2.32 (2.24-2.41), 2.74 (2.54-2.96); trace to 4+, respectively], and various subgroup analyses did not affect the main outcome for the total population. ≥1+ proteinuria in the group without metabolic diseases (hypertension, diabetes, dyslipidemia, or obesity) resulted in higher hazard ratios than those in the group with metabolic diseases and negative or trace proteinuria.

conclusionsOur study showed a strong association between dipstick proteinuria and all-cause mortality in this nationwide population-based cohort in South Korea.

Indexed as

Models, BiologicalAdultAgedDisease-Free SurvivalFemaleFollow-Up StudiesHumansMaleMiddle AgedProteinuriaRepublic of KoreaSurvival RateUrinalysis

Identifiers

PMID29953557
PMCPMC6023140

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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.