ArticleLipids in health and disease2026
Investigating the relationship between monocyte to high-density lipoprotein cholesterol ratio and carotid artery plaque in cerebral infarction patients under different blood pressure and glucose metabolic conditions.
Article in Lipids in health and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
purposeThis study aims to explore the connection between the Monocyte to High-Density Lipoprotein Cholesterol Ratio (MHR) and the formation of carotid artery plaque (CAP) in individuals who have experienced a cerebral infarction (CI). Additionally, it examines the relationship between CAP and varying blood pressure and glucose metabolism stratifications.
methodThe investigation involved 10,627 individuals with cerebral infarction. Participants were categorized based on their blood pressure levels and glucose metabolism profiles, and then sorted into tertiles according to their MHRs. Logistic regression analysis was used to assess the relationship between MHR and carotid plaque in CI patients, adjusting for potential confounders and applying FDR correction. Discrimination performance was evaluated using ROC curves, NRI, and IDI. Restricted cubic splines and threshold analysis were employed to explore dose-response relationships and identify inflection points.
resultMHR demonstrated a significant positive association with carotid artery plaque (CAP) in patients with cerebral infarction. For each one-standard deviation increase in standardized MHR, the adjusted OR was 1.154 (95% CI: 1.079–1.235, P < 0.001). The strongest association was found in the T3 group (MHR > 0.552) (OR = 1.392, P < 0.001), which remained significant after FDR correction. Subgroup analysis indicated that this association was significant in individuals with prehypertension (OR = 1.169, P = 0.020), hypertension (OR = 1.180, P < 0.001), prediabetes (OR = 1.158, P < 0.05), and diabetes (OR = 1.137, P < 0.05). After FDR adjustment, the association remained robust in the hypertension group (FDR-adjusted P = 0.004) and the prediabetes group (FDR-adjusted P = 0.030). MHR displayed a nonlinear association with CAP (P for nonlinear = 0.04) and a threshold effect, with an inflection point at 0.89 (OR = 2.47, P < 0.001 when MHR < 0.89). Incorporating MHR improved the model’s AUC to 0.746 (P = 0.049), with NRI = 0.095 and IDI = 0.002 (both P < 0.001).
conclusionIn patients with cerebral infarction, MHR is significantly associated with carotid plaque. This association remains robust in hypertensive and prediabetic patients after FDR adjustment. Furthermore, MHR exhibits a nonlinear relationship with carotid plaque and a threshold effect at an inflection point of 0.89, significantly enhancing plaque discrimination performance.
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.