ArticleScientific reports2025
Association between cardiometabolic index and self-reported symptoms of obstructive sleep apnea: a cross-sectional study.
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 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Integrating epidemiological and transcriptomic data reveals novel lipid metabolic drivers of obstructive sleep apnea.Nutrition & metabolism · 2026Article
- The Cardiometabolic Index (CMI) is associated with an increased risk of obstructive sleep apnea: a population-based study.European journal of medical research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The Cardiometabolic Index (CMI) is a new indicator of visceral fat distribution and dysfunction that can be calculated using lipid parameters, waist circumference, and height. The relationship between CMI and Obstructive Sleep Apnea (OSA) remains unclear. This cross-sectional study explored the association between CMI and OSA using nationally representative data from The National Health and Nutrition Examination Survey database, spanning the periods from 2005 to 2008 and 2015 to 2018. OSA was self-reported based on questionnaire responses. Weighted logistic regression and restricted cubic splines were used to investigate the relationship between CMI and OSA. In addition, subgroup analyses and interaction tests were performed to study the robustness of the association across different populations. Finally, a receiver operating characteristic curve (ROC) was used to determine the predictive power of the index for the OSA. A total of 8460 participants were enrolled in the study. In the fully adjusted model, multivariate regression revealed a significant relationship between CMI and OSA (OR = 1.75, 95% CI 1.46-2.10). Interaction tests, revealed no significant effects of age, sex, body mass index, and race on the relationship between CMI and OSA. The area under the curve (AUC) of the ROC curve was 0.605, indicating that CMI has a predictive value for the OSA. This study provides evidence that CMI is associated with OSA in the adult population of the United States. CMI may be an important predictor of OSA, which provides a new perspective for the future assessment and treatment of individuals with odds of OSA.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.