Evidence map›Paper›PMID 38063958›Full record

ArticleInternational urology and nephrology2024

Association between the cardiometabolic index and chronic kidney disease: a cross-sectional study.

Qian Guo, Yani Wang, Yuchen Liu, Yun Wang, Lin Deng, Lihua Liao, Xueqin Lin, Mingxin Wu, Meirui Sun, Ying Liao

Abstract read
In one paragraph

Article in International urology and nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Qian Guo *Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Yani Wang *Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Yuchen Liu *Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Yun WangDepartment of Electrocardiography, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Lin DengDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Lihua LiaoDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Xueqin LinDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Mingxin WuDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Meirui SunDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Ying LiaoDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China. wingjays@163.com.ORCID http://orcid.org/0000-0002-3219-0318

Funding

Science and Technology Project of Longyan City 2021LYF17025
6 · The paper itself

Abstract

backgroundCentral obesity is a risk factor for chronic kidney disease (CKD). However, the exact correlation between the cardiometabolic index (CMI), an indicator of central obesity, and CKD remains unclear. Here, we aimed to investigate the correlation between the CMI and CKD in the general American population.

methodsThis cross-sectional study involved 64,313 members of the general population (≥ 20 years of age) with data in the National Health and Nutrition Examination Survey (NHANES) 1999-2020. The individuals were grouped into three categories by CMI tertile: T1 group (n = 7,029), T2 group (n = 7,356), and T3 group (n = 7,380). Logistic regression analysis was performed, with NHANES recommended weights, to assess the association between the CMI and CKD.

resultsA total of 21,765 participants were included; the overall prevalence of CKD was 12.2%. From the low to the high CMI tertile, the prevalence of CKD increased from 8.9% to 16.0% (P < 0.001). After full adjustment for confounders, the higher tertile of CMI (OR: 1.08, 95% CI: 1.03 - 1.13, P = 0.002) had the higher risk of CKD. Compared with the T1 group, the groups with higher CMI levels had a higher CKD risk (T2: OR: 1.01, 95%CI: 0.87-1.18, P = 0.812; T3: OR: 1.22, 95%CI: 1.05-1.43, P = 0.013).

conclusionsHigher CMI was independently associated with higher CKD risk in the general population.

Indexed as

Cardiovascular DiseasesRenal Insufficiency, ChronicCross-Sectional StudiesHumansNutrition SurveysObesityObesity, AbdominalRisk FactorsUnited StatesCardiometabolic indexCentral obesityChronic kidney diseaseNHANES

Identifiers

PMID38063958
PMCPMC11001751

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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.