Evidence map›Paper›PMID 39358796›Full record

ArticleLipids in health and disease2024

Association between cardiometabolic Index (CMI) and endometriosis: a cross-sectional study on NHANES.

Jiameng Wang, Boyu Wang, Ting Liu, Jingying Shang, Xumeng Gu, Tianchan Zhang, Huifang Cong

Abstract read
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

7 authors.

Jiameng Wang *Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
Boyu Wang *Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
Ting LiuHeilongjiang University of Chinese Medicine, Harbin, 150040, China.
Jingying ShangHeilongjiang University of Chinese Medicine, Harbin, 150040, China.
Xumeng GuThe Second Affiliated Hospital of Heilongjiang, University of Chinese Medicine, Harbin, 150040, China.
Tianchan ZhangHeilongjiang University of Chinese Medicine, Harbin, 150040, China. zhangtianchan1234@163.com.
Huifang CongThe Second Affiliated Hospital of Heilongjiang, University of Chinese Medicine, Harbin, 150040, China. Conghuifang1961@163.com.

Funding

Heilongjiang Provincial Postdoctoral Science Foundation LBH-Z23289National Natural Science Foundation of China 81704113
6 · The paper itself

Abstract

backgroundEndometriosis is intricately linked to metabolic health. The Cardiometabolic Index (CMI), a novel and readily accessible indicator, is utilized to evaluate metabolic status. This study seeks to investigate the potential correlation between CMI and endometriosis.

methodsData from four consecutive survey cycles of the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2006 were utilized. This included adult females with self-reported diagnoses of endometriosis and complete information required for calculating the CMI. The calculation formula for CMI is Triglycerides(TG) / High-density lipoprotein cholesterol (HDL-C) × WHtR (WHtR = waist circumference / height). A multivariable logistic regression model was employed to investigate the linear association between CMI and endometriosis. Subgroup analyses were performed to explore potential influencing factors. Additionally, the linear relationship was validated using restricted cubic spline (RCS) curve plotting and threshold effect analysis.

resultsThis study, based on the National Health and Nutrition Examination Survey (NHANES), included a cohort of 2,224 adult women. The multivariable logistic regression analysis demonstrated that in the fully adjusted model, individuals with the highest CMI exhibited a 78% elevated likelihood of endometriosis compared to those with the lowest CMI (OR = 1.78; 95% CI, 1.02-3.11, P < 0.05). The subgroup analysis indicated that there were no significant interactions between CMI and specific subgroups (all interaction P > 0.05), except for the subgroup stratified by stroke status (P < 0.05). Additionally, the association between CMI and endometriosis was linear, with a 20% increase in the association for each unit increase in CMI when CMI > 0.67 (OR = 1.20; 95% CI, 1.05-1.37, P < 0.01).

conclusionThe study found that CMI levels are closely correlated with endometriosis, with this correlation increasing when the CMI exceeds 0.67. This finding implies that by regularly monitoring CMI levels, physicians may be able to screen women at risk for endometriosis at an earlier stage, thereby enabling the implementation of early interventions to slow the progression of the disease. To further validate these findings, larger-scale cohort studies are required to support the results of this research.

Indexed as

Cholesterol, HDLEndometriosisNutrition SurveysTriglyceridesAdultCardiovascular DiseasesCross-Sectional StudiesFemaleHumansLogistic ModelsMiddle AgedWaist CircumferenceCholesterol, HDLTriglyceridesCardiometabolic IndexCross-sectional studyEndometriosisMultivariate logic analysisNHANES

Identifiers

PMID39358796
PMCPMC11446041

What OpenQuestion 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 OpenQuestion graph.