Evidence map›Paper›PMID 34503311›Full record

ArticleDiabetes & metabolism journal2022

Performance of Diabetes and Kidney Disease Screening Scores in Contemporary United States and Korean Populations.

Liela Meng, Keun-Sang Kwon, Dae Jung Kim, Yong-Ho Lee, Jeehyoung Kim, Abhijit V Kshirsagar, Heejung Bang

Open access · greenAbstract read
In one paragraph

Article in Diabetes & metabolism journal, 2022. 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
0.1field-weighted citation impact, top 57% 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, 1 citations in OpenAlex.

  1. Article
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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

7 authors at 5 institutions in 2 countries.

Liela MengGraduate Group of Biostatistics, Department of Statistics, University of California, Davis, CA, USA.
Keun-Sang KwonDepartment of Preventive Medicine, Jeonbuk National University Medical School, Jeonju, Korea.
Dae Jung KimDepartment of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea.
Yong-Ho LeeDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Jeehyoung KimDepartment of Orthopedic Surgery, Seoul Sacred Heart General Hospital, Seoul, Korea.
Abhijit V KshirsagarUniversity of North Carolina Kidney Center & Division of Nephrology and Hypertension, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Heejung BangDivision of Biostatistics, Department of Public Health Sciences, University of California, Davis, CA, USA.
University of California, Davis · USAjou University · KRJeonbuk National University · KRUniversity of North Carolina at Chapel Hill · USYonsei University · KR

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
NCATS NIH HHS UL1 TR001860
6 · The paper itself

Abstract

backgroundRisk assessment tools have been actively studied, and they summarize key predictors with relative weights/importance for a disease. Currently, standardized screening scores for type 2 diabetes mellitus (DM) and chronic kidney disease (CKD)-two key global health problems-are available in United States and Korea. We aimed to compare and evaluate screening scores for DM (or combined with prediabetes) and CKD, and assess the risk in contemporary United States and Korean populations.

methodsFour (2×2) models were evaluated in the United States-National Health and Nutrition Examination Survey (NHANES 2015-2018) and Korea-NHANES (2016-2018)-8,928 and 16,209 adults. Weighted statistics were used to describe population characteristics. We used logistic regression for predictors in the models to assess associations with study outcomes (undiagnosed DM and CKD) and diagnostic measures for temporal and cross-validation.

resultsKorean adult population (mean age 47.5 years) appeared to be healthier than United States counterpart, in terms of DM and CKD risks and associated factors, with exceptions of undiagnosed DM, prediabetes and prehypertension. Models performed well in own country and external populations regarding predictor-outcome association and discrimination. Risk tests (high vs. low) showed area under the curve >0.75, sensitivity >84%, specificity >45%, positive predictive value >8%, and negative predictive value >99%. Discrimination was better for DM, compared to the combined outcome of DM and prediabetes, and excellent for CKD due to age.

conclusionFour easy-to-use screening scores for DM and CKD are well-validated in contemporary United States and Korean populations. Prevention of DM and CKD may serve as first-step in public health, with these self-assessment tools as basic tools to help health education and disparity.

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateRenal Insufficiency, ChronicHumansMiddle AgedNutrition SurveysRepublic of KoreaUnited StatesDiabetes mellitus, type 2Prediabetic stateRenal insufficiency, chronicRisk factorsSelf-assessment

Identifiers

PMID34503311
PMCPMC8987693
OpenAlexW3197028792

What OpenQuestion holds

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LicenceCC BY-NC
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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.