Evidence map›Paper›PMID 40400927›Full record

ArticleJournal of thoracic disease2025

Correlation analysis of hematocrit level and coronary heart disease in patients with chest pain: a case-control study.

Jiahong Xie, Hongshuai Cao, Dongxu Jin, Yuxin Wang, Xiaolu Li, Matthew Budoff, Hongfeng Jiang, Jingyi Ren

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Jiahong Xie *Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0001-8622-7289
Hongshuai Cao *Heart Failure Center, Department of Cardiology, China-Japan Friendship Hospital, Beijing, China.
Dongxu JinBeijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China.
Yuxin WangBeijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China.
Xiaolu LiBeijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China.
Matthew BudoffDepartment of Internal Medicine, Lundquist Institute at Harbor-UCLA, CDCRC, Torrance, CA, USA.
Hongfeng Jiang *Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Jingyi Ren *Heart Failure Center, Department of Cardiology, China-Japan Friendship Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: At present, there is controversy about whether hematocrit (HCT) is a risk factor for coronary heart disease (CHD). We try to explore the effect of low or high HCT on CHD, and analyze its mechanism from the perspective of hemodynamics. Methods: According to the exclusion criteria, a total of 3,200 patients who underwent coronary angiography or coronary computed tomography angiography (CTA) for typical post-exercise chest pain/dyspnea; atypical chest pain; or noncardiac chest pain or asymptomatic at Beijing Anzhen Hospital Affiliated to Capital Medical University from October 2019 to October 2021 were selected as research subjects. A coronary artery stenosis of 50% was used as the criterion for determining CHD. A total of 1,660 patients with coronary artery stenosis greater than 50% were selected as the CHD group and 1,540 adults with coronary artery stenosis less than 50% were selected as the non-CHD group. The clinical data, including HCT, were subjected to non-parametric tests and chi-square tests. The relationship between HCT and CHD was statistically analyzed using logistic regression. Wall shear stress (WSS) is obtained through fluent software combined with Navier-Stokes (NS) equation calculation. Results: Multivariate logistic regression analysis showed that HCT was an independent risk factor for CHD [risk ratio (RR) 1.108, 95% confidence interval (CI): 1.084-1.133, P<0.001]. The area under the receiver operating characteristic (ROC) curve for the ability of HCT to predict CHD events was 0.726. The cut-off value was 44.13, with specificity of 0.701 and sensitivity of 0.702. The results of a computational fluid dynamics simulation demonstrated that the magnitude of HCT is positively correlated with the WSS. When HCT exceeds 50%, the WSS of the stenosis site reaches 42 Pa, which may lead to endothelial denudation and further damage to the blood vessel, resulting in plaque rupture. Conclusions: HCT is one of the risk factors for CHD. Combining HCT with traditional risk factors may be helpful for non-invasive diagnosis of CHD. In addition, the level of HCT may also help to judge the future prognosis of patients with coronary artery stenosis greater than 50% without revascularization, providing a new potential target for future clinical treatment of CHD.

Indexed as

computational fluid dynamics (CFD)coronary heart disease (CHD)correlationHematocrit (HCT)hemodynamic mechanism

Identifiers

PMID40400927
PMCPMC12090147

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.