Evidence map›Paper›PMID 36319963›Full record

ArticleBMC nephrology2022

Waist-hip ratio measured by bioelectrical impedance analysis as a valuable predictor of chronic kidney disease development.

Younghoon Song, Jeong Ah Hwang, Jaeun Shin, Eunjung Cho, Shin Young Ahn, Gang Jee Ko, Young Joo Kwon, Ji Eun Kim

Abstract read
In one paragraph

Article in BMC nephrology, 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Younghoon SongDepartment of Internal Medicine, Korea University Guro Hospital, Gurodong-Ro 148, Guro-Gu, Seoul, South Korea.
Jeong Ah HwangDepartment of Internal Medicine, Korea University Guro Hospital, Gurodong-Ro 148, Guro-Gu, Seoul, South Korea.
Jaeun ShinDepartment of Internal Medicine, Korea University Guro Hospital, Gurodong-Ro 148, Guro-Gu, Seoul, South Korea.
Eunjung ChoDepartment of Internal Medicine, Korea University Guro Hospital, Gurodong-Ro 148, Guro-Gu, Seoul, South Korea.
Shin Young AhnDepartment of Internal Medicine, Korea University Guro Hospital, Gurodong-Ro 148, Guro-Gu, Seoul, South Korea.
Gang Jee KoDepartment of Internal Medicine, Korea University Guro Hospital, Gurodong-Ro 148, Guro-Gu, Seoul, South Korea.
Young Joo KwonDepartment of Internal Medicine, Korea University Guro Hospital, Gurodong-Ro 148, Guro-Gu, Seoul, South Korea.
Ji Eun KimDepartment of Internal Medicine, Korea University Guro Hospital, Gurodong-Ro 148, Guro-Gu, Seoul, South Korea. beeswaxag@naver.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a major health problem worldwide and is associated with chronic kidney disease (CKD). Body mass index (BMI) is a common method of diagnosing obesity, but there are concerns about its accuracy and ability to measure body composition. This study evaluated the risk of CKD development in a middle-aged population in association with various body composition metrics. From a prospective cohort of 10,030 middle-aged adults, we enrolled 6727 for whom baseline and follow-up data were available. We collected data pertaining to participants' BMI, manually measured waist-hip ratio (WHR), and various measurements of bioelectrical impedance analysis (BIA), including total body fat content, muscle content, and calculated WHR, and classified the participants into quintiles accordingly. CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m

Indexed as

Renal Insufficiency, ChronicAdultBody Mass IndexElectric ImpedanceHumansMiddle AgedObesityProspective StudiesWaist-Hip RatioBioelectrical impedance analysisBody mass indexChronic kidney diseaseObesity

Identifiers

PMID36319963
PMCPMC9623989

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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.