Evidence map›Paper›PMID 26905406›Full record

ArticleInternational urology and nephrology2016

Estimated glomerular filtration rate and albuminuria in Korean population evaluated for cardiovascular risk.

Kayoung Lee, Jinseung Kim

Abstract read
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In one paragraph

Article in International urology and nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. A lower eGFRRenal failure · 2024
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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

2 authors at 1 institution in 1 country.

Kayoung LeeDepartment of Family Medicine, Busan Paik Hospital, Inje University College of Medicine, 633-165 Gaegum-dong, Busan Jin-Gu, Busan, 614-735, Republic of Korea. kayoung.fmlky@gmail.com.
Jinseung KimDepartment of Family Medicine, Busan Paik Hospital, Inje University College of Medicine, 633-165 Gaegum-dong, Busan Jin-Gu, Busan, 614-735, Republic of Korea.
Inje University Busan Paik Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study's purpose was to examine established cardiovascular risk prediction model scores for their associations with albuminuria and estimated glomerular filtration rate (eGFR) in Korean population.

methodsWe calculated the 10-year atherosclerotic cardiovascular disease (ASCVD) risk estimated score, Korean coronary heart disease risk prediction score (KRS), and the Adult Treatment Panel (ATP) III risk score for 9733 South Koreans, aged 40-79 years, who were not diagnosed with stroke, angina pectoris, or myocardial ischemia using data from the 2011-2013 Korea National Health and Nutrition Examination Survey.

resultsThe associations between cardiovascular risk model scores and the urine albumin-to-creatinine ratio (UACR) and eGFR tended to be stronger for the ASCVD risk score than for the other risk scores. The area under the receiver operating characteristic curve for increased albuminuria (UACR ≥ 30 mg/g) and decreased eGFR (<60 mL/min/1.73 m(2)) was significantly higher for the ASCVD risk score than for the ATP III risk score and the KRS (except for increased albuminuria in women).

conclusionsThe ASCVD risk score had a stronger relationship with and better predicted albuminuria and eGFR than did the KRS and ATP III risk score.

Indexed as

Glomerular Filtration RateAdultAgedAlbuminuriaArea Under CurveAtherosclerosisCoronary DiseaseCreatinineFemaleHumansMaleMiddle AgedModels, TheoreticalNutrition SurveysPredictive Value of TestsRenal Insufficiency, ChronicCreatinineAlbuminuriaCardiovascular riskEstimated glomerular filtration rate

Identifiers

PMID26905406
OpenAlexW2276879513

What OpenQuestion holds

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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.