Evidence map›Paper›PMID 26108064›Full record

ArticleKidney international2015

The risk of chronic kidney disease in a metabolically healthy obese population.

Chang Hee Jung, Min Jung Lee, Yu Mi Kang, Jenie Y Hwang, Eun Hee Kim, Joong-Yeol Park, Hong-Kyu Kim, Woo Je Lee

Abstract read
PubMed Publisher
In one paragraph

Article in Kidney international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 4 pooled it
5.3field-weighted citation impact, top 4% 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

47 citing papers in PubMed, 4 syntheses or guidelines pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. Obesity as a predictive factor for chronic kidney disease in adults: systematic review and meta-analysis.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2021
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  7. Kidney consequences of obesity.Pediatric nephrology (Berlin, Germany) · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Chang Hee JungDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Min Jung LeeDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Yu Mi KangDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Jenie Y HwangDepartment of Health Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Eun Hee KimDepartment of Health Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Joong-Yeol ParkDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Hong-Kyu KimDepartment of Health Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Woo Je LeeDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Asan Medical Center · KRUniversity of Ulsan · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity has become an important risk factor for chronic kidney disease (CKD). The metabolically healthy obese (MHO) phenotype refers to obese individuals with a favorable metabolic profile. However, its prognostic value remains controversial and may depend on the health outcome being investigated. To assess this, we examined the risk of MHO phenotype with incident CKD in a Korean population of 41,194 people without CKD. Individuals were stratified by body mass index (cutoff value, 25.0 kg/m(2)) and metabolic health state (assessed using Adult Treatment Panel-III criteria). Incident CKD was defined as a glomerular filtration rate of <60 ml/min per 1.73 m(2) calculated using the Chronic Kidney Disease Epidemiology Collaboration equation. Over the median follow-up period of 38.7 months, 356 of the individuals developed incident CKD. Compared with the metabolically healthy nonobese (MHNO) group, the MHO group showed increased risk of incident CKD with a multivariate-adjusted hazard ratio of 1.38 (95% CI, 1.01-1.87). Nonobese but metabolically unhealthy individuals were at an increased risk of incident CKD (multivariate-adjusted hazard ratio, 1.37 (95% CI, 1.02-1.93)) than the MHNO group. Metabolically unhealthy obese individuals were at the highest risk of incident CKD. Thus, a healthy metabolic profile does not protect obese adults from incident CKD. Hence, it is important to consider metabolic health along with obesity when evaluating CKD risk.

Indexed as

AdultAgedAged, 80 and overBody Mass IndexChi-Square DistributionFemaleGlomerular Filtration RateHumansIncidenceKaplan-Meier EstimateKidneyLongitudinal StudiesMaleMiddle AgedModels, BiologicalMultivariate Analysis

Identifiers

PMID26108064
OpenAlexW1592700349

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.