Evidence map›Paper›PMID 39893287›Full record

ArticleScientific reports2025

Association between cardiometabolic index and hypertension among US adults from NHANES 1999-2020.

Tuo Guo, Yang Zhou, Guifang Yang, Lijuan Sheng, Xiangping Chai

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

16 citing papers in PubMed.

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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

5 authors.

Tuo GuoDepartment of Emergency Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yang ZhouDepartment of Intensive Care Unit, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Guifang YangDepartment of Emergency Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Lijuan ShengClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China. shenglijuannice1006@csu.edu.cn.
Xiangping ChaiDepartment of Emergency Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China. chaixiangping@csu.edu.cn.

Funding

Hunan Health and Family Planning Commission Project B202310007057Key Project of Hunan Provincial Science and Technology Innovation 2020SK1014-2Key Research and Development Program of Hunan Province 2019SK2022Natural Science Foundation of Changsha kq2208330Natural Science Foundation of Hunan Province 2023JJ40867
6 · The paper itself

Abstract

Hypertension, a major global health issue and leading cause of death, is often under-assessed by traditional metrics like Body Mass Index which fail to capture comprehensive cardiovascular risks associated with obesity. The Cardiometabolic Index (CMI), which evaluates abdominal obesity and dyslipidemia, offers a more accurate assessment of visceral fat and metabolic dysfunction. In this study, we analyzed data from 45,250 participants from the National Health and Nutrition Examination Survey spanning 1999 to 2020. Using multivariable logistic regression, we explored the association between CMI and hypertension, employing Restricted Cubic Spline analysis to assess non-linear relationships and two-piecewise linear regression to identify threshold effects. Subgroup analyses confirmed the consistency of our findings across various demographic and clinical characteristics. Findings confirmed that hypertensive participants exhibited significantly higher CMI levels (median 0.46 vs. 0.73), with adjusted logistic regression showing a notable association between increased CMI and hypertension prevalence (OR 1.30, 95% CI 1.25-1.35, P < 0.01), characterized by a nonlinear L-shaped curve with a critical threshold identified at a CMI value of 1.37. Subgroup analysis revealed a more pronounced impact of CMI on hypertension in females. These results underscore CMI's potential to enhance cardiovascular risk assessment across diverse U.S. populations.

Indexed as

HypertensionAdultAgedBody Mass IndexFemaleHumansMaleMiddle AgedNutrition SurveysObesity, AbdominalPrevalenceRisk FactorsUnited StatesCardiometabolic indexHypertensionMetabolic dysfunctionNHANESVisceral adiposity

Identifiers

PMID39893287
PMCPMC11787287

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.