Evidence map›Paper›PMID 42491101›Full record

ArticleAmerican journal of translational research2026

Beclin 1 level combined with Gensini score and low-density lipoprotein cholesterol correlate strongly with multi-vessel disease.

Yuting Qu, Ying Xue, Xiaowei Xiong, Jingyun Jia, Yangfeng Xie, Haitian Li, Jinli Sun, Qi Liu, Buxing Chen

Abstract read
In one paragraph

Article in American journal of translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuting QuBeijing University of Chinese Medicine Beijing 100029, China.
Ying XueBeijing University of Chinese Medicine Beijing 100029, China.
Xiaowei XiongDepartment of Cardiovascular Medicine, Mayo Clinic MN 55905, USA.
Jingyun JiaBeijing University of Chinese Medicine Beijing 100029, China.
Yangfeng XieBeijing University of Chinese Medicine Beijing 100029, China.
Haitian LiBeijing University of Chinese Medicine Beijing 100029, China.
Jinli SunBeijing University of Chinese Medicine Beijing 100029, China.
Qi LiuBeijing University of Chinese Medicine Beijing 100029, China.
Buxing ChenDepartment of Cardiology, Beijing University of Chinese Medicine Third Affiliated Hospital Beijing 100029, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the correlation between serum Beclin 1 levels and multi-vessel disease (MVD).

methodsA total of 169 participants were enrolled in this retrospective study. Based on coronary angiographic findings, 106 patients diagnosed with coronary heart disease (CHD) were categorized into single-vessel disease (SVD) and MVD groups, and their Gensini scores were calculated respectively. General demographic data and serum biochemical indicators were collected. Serum Beclin 1 concentration was detected by enzyme-linked immunosorbent assay. The differential expression of Beclin 1 among the three groups was compared and analyzed. Logistic regression models and receiver operating characteristic (ROC) curves were used to explore the association between Beclin 1 level and MVD.

resultsCompared to the control group, Beclin 1 levels were significantly decreased in both the groups, with the lowest level observed in the MVD group [2.45 (1.69, 4.17), 2.64 (2.24, 2.89), 1.09 (0.66, 1.78), P<0.001]. Multivariate analysis results demonstrated that Gensini score was an independent risk factor for MVD (OR = 1.045, 95% CI: 1.018-1.090, P<0.001), while Beclin 1 (OR = 0.372, 95% CI: 0.174-0.695, P = 0.001) and low-density lipoprotein cholesterol (LDL-C) (OR = 0.295, 95% CI: 0.128-0.619, P<0.001) served as independent protective factors against MVD The combined model (Gensini score + Beclin 1 + LDL-C yielded an AUC of 0.936, with an optimal predictive probability cutoff of ≥0.664, a sensitivity of 0.911, and a specificity of 0.963. Compared to the basic model (Gensini score + LDL-C), the combined model exhibited a higher AUC, indicating that the addition of Beclin 1 effectively improved the predictive efficacy for MVD.

conclusionThe combination of Beclin 1 level, Gensini score, and LDL-C had good predictive value for MVD.

Indexed as

Beclin 1Gensini scoreMulti-vessel disease

Identifiers

PMID42491101
PMCPMC13376018

What OpenQuestion holds

Textmetadata
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.