Evidence map›Paper›PMID 30006578›Full record

ArticleInternational journal of obesity (2005)2019

Metabolically healthy and unhealthy obesity phenotypes and risk of renal stone: a cohort study.

Seolhye Kim, Yoosoo Chang, Kyung Eun Yun, Hyun-Suk Jung, Inah Kim, Young Youl Hyun, Kyu-Beck Lee, Kwan Joong Joo, Heung Jae Park, Hocheol Shin and 1 more

Abstract read
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In one paragraph

Article in International journal of obesity (2005), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

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  14. Obesity phenotypes related to musculoskeletal disorders; a cross-sectional study from RaNCD cohort.Archives of public health = Archives belges de sante publique · 2022
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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

11 authors at 2 institutions in 1 country.

Seolhye KimCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Yoosoo ChangCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. yoosoo.chang@gmail.com.ORCID http://orcid.org/0000-0002-6945-9050
Kyung Eun YunCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hyun-Suk JungCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Inah KimDepartment of Occupational and Environmental Medicine, College of Medicine, Hanyang University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-9221-5831
Young Youl HyunDivision of Nephrology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Kyu-Beck LeeDivision of Nephrology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-3904-5404
Kwan Joong JooDepartment of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Heung Jae ParkDepartment of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hocheol ShinCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Seungho RyuCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. sh703.yoo@gmail.com.ORCID http://orcid.org/0000-0002-3927-8646
Kangbuk Samsung Hospital · KRHanyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesAlthough obesity is considered an independent risk factor of nephrolithiasis, little is known about the effect of obesity on nephrolithiasis according to metabolic health status. We investigated the association between body mass index (BMI) category and the incidence of nephrolithiasis in metabolically healthy and unhealthy individuals. SUBJECTS/

methodsThe cohort consisted of 270,190 Korean adults free of nephrolithiasis at baseline, who were followed-up annually or biennially for a median of 4.1 years. Nephrolithiasis were determined based on ultrasonographic findings. Being metabolically healthy was defined as not having any metabolic syndrome component. A parametric Cox model was used to estimate the adjusted hazard ratios (HRs) with 95% confidence intervals (CIs).

resultsDuring 1,415,523.0 person-years of follow-up, 13,450 participants developed nephrolithiasis (incidence rate, 9.5 per 1000 person-years). Obesity was positively associated with an increased risk of incident nephrolithiasis in dose-response manner, but the association was stronger in metabolically healthy individuals. Among metabolically healthy individuals, the multivariable-adjusted HRs (95% CIs) for incident nephrolithiasis comparing BMIs 23-24.9, 25-29.9, and ≥30 with a BMI of 18.5-22.9 kg/m

conclusionsObesity was associated with a higher incidence of nephrolithiasis in both metabolically healthy and unhealthy individuals, indicating obesity per se as an independent risk factor for nephrolithiasis.

Indexed as

AdultCohort StudiesFemaleHumansKidney CalculiMaleMiddle AgedObesityObesity, Metabolically BenignPhenotypeRepublic of KoreaRisk FactorsTomography, X-Ray Computed

Identifiers

PMID30006578
OpenAlexW2883751151

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.