Evidence map›Paper›PMID 40717169›Full record

ArticleScientific reports2025

Association of platelet to high density lipoprotein cholesterol ratio with coronary lesion severity in middle aged and elderly adults.

Xiandu Jin, Wenjun Jia, Yue Liu, Min Cui, Hanmo Zhang, Hao Wu, Jiao Li, Liping Wei, Xin Qi

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Role of Lipoprotein(a) and Blood Cells Ratios in Peripheral Artery Disease.International journal of molecular sciences · 2025
    Article
  5. 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

9 authors.

Xiandu Jin *School of Medicine, Nankai University, Tianjin, China.
Wenjun Jia *Department of Cardiology, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, Tianjin, P.R. China.
Yue LiuDepartment of Cardiology, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, Tianjin, P.R. China.
Min CuiSchool of Medicine, Nankai University, Tianjin, China.
Hanmo ZhangSchool of Medicine, Nankai University, Tianjin, China.
Hao WuSchool of Medicine, Nankai University, Tianjin, China.
Jiao LiDepartment of Cardiology, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, Tianjin, P.R. China.
Liping WeiDepartment of Cardiology, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, Tianjin, P.R. China. weilipingme@163.com.
Xin QiDepartment of Cardiology, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, Tianjin, P.R. China. qixinx2011@126.com.

Funding

Tianjin Science and Technology Planning Project No.16ZXMJSY00060Tianjin Science and Technology Project No.23JCYBJC01470
6 · The paper itself

Abstract

The platelet to high-density lipoprotein cholesterol ratio (PHR) serves as a novel marker reflecting systemic inflammation and lipid metabolism. However, the correlation between PHR and coronary artery lesions severity in middle-aged and elderly individuals remains unclear. Looking into the relationship between PHR and coronary artery lesions severity was the focus of this investigation in middle-aged and elderly individuals. A total of 1721 hospitalized middle-aged and elderly patients with coronary artery disease (aged ≥ 45years) were included in this investigation. PHR was calculated as platelet (109/L)/high-density lipoprotein (mmol/L); Individuals have been categorized into four groups referring to PHR quartiles. The severity of coronary artery lesions was assessed using the number of diseased vessels and the Gensini scores. Clinical and laboratory data were screened using least absolute shrinkage and selection operator (LASSO) regression; Receiver operating characteristic (ROC) curves were generated to assess the predictive value of PHR for the severity of coronary lesions. Spearman correlation coefficients and heatmaps were then employed to explore the correlation between PHR and baseline variables. Furthermore, multivariate logistic regression models and restricted cubic spline models were constructed to employ the association between PHR and coronary lesion severity in middle-aged and elderly individuals; Subgroup and interaction analyses were performed for further analysis. PHR showed a strong predictive performance for coronary lesion severity (AUC = 0.8126). Higher PHR levels were significantly associated with increased coronary lesion severity. Individuals in the highest quartile of PHR exhibited significantly more severity of coronary lesions than those in the lowest quartile (adjusted Q4: OR = 1.342, 95% CI = 1.100-1.638, P = 0.004). The association was more pronounced in females (adjusted Q4: OR = 1.422, 95% CI:1.043–1.940, P = 0.026). but not significant in males (adjusted Q4: OR = 1.229, 95% CI:0.958–1.576, P = 0.105). A linear dose–response relationship was confirmed using restricted cubic spline models (P-overall = 0.00935, P-linear = 0.0199). Interaction analysis showed consistent associations across subgroups (all P for interaction > 0.05). PHR is a somewhat consistent measure of inflammation, showing a significant positive correlation with the severity of coronary artery disease. PHR can be utilized as a novel inflammatory index to estimate coronary artery disease in middle-aged and elderly individuals.

Indexed as

Blood PlateletsCholesterol, HDLCoronary Artery DiseaseAgedBiomarkersFemaleHumansMaleMiddle AgedROC CurveSeverity of Illness IndexBiomarkersCholesterol, HDLCoronary lesion severityHigh-density lipoprotein cholesterolMiddle-aged and elderlyPlateletPlatelet to high-density lipoprotein ratio

Identifiers

PMID40717169
PMCPMC12301471

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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.