Evidence map›Paper›PMID 38805487›Full record

ArticlePloS one2024

Peri-coronary fat attenuation index combined with high-risk plaque characteristics quantified from coronary computed tomography angiography for risk stratification in new-onset chest pain individuals without acute myocardial infarction.

Xuelong Zhang, Zelong Cao, Jianan Xu, Xing Guan, Honghou He, Linan Duan, Lishuang Ji, Gang Liu, Qifeng Guo, Yang You and 2 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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

12 authors.

Xuelong ZhangThe First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.ORCID 0009-0006-9311-7890
Zelong CaoThe First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Jianan XuThe First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Xing GuanThe First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Honghou HeThe First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Linan DuanThe First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Lishuang JiThe First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Gang LiuThe First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Qifeng GuoThe First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Yang YouThe First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Mingqi ZhengThe First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Mei WeiThe First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to evaluate the role of the peri-coronary Fat Attenuation Index (FAI) and High-Risk Plaque Characteristics (HRPC) in the assessment of coronary heart disease risk. By conducting coronary CT angiography and coronary angiography on 217 patients with newly developed chest pain (excluding acute myocardial infarction), their degree of vascular stenosis, FAI, and the presence and quantity of HRPC were assessed. The study results demonstrate a correlation between FAI and HRPC, and the combined use of FAI and HRPC can more accurately predict the risk of major adverse cardiovascular events (MACE). Additionally, the study found that patients with high FAI were more prone to exhibit high-risk plaque characteristics, severe stenosis, and multiple vessel disease. After adjustment, the combination of FAI and HRPC improved the ability to identify and reclassify MACE. Furthermore, the study identified high FAI as an independent predictor of MACE in patients undergoing revascularization, while HRPC served as an independent predictor of MACE in patients not undergoing revascularization. These findings suggest the potential clinical value of FAI and HRPC in the assessment of coronary heart disease risk, particularly in patients with newly developed chest pain excluding acute myocardial infarction.

Indexed as

Chest PainComputed Tomography AngiographyCoronary AngiographyPlaque, AtheroscleroticAdipose TissueAgedCoronary Artery DiseaseCoronary VesselsFemaleHumansMaleMiddle AgedMyocardial InfarctionRisk AssessmentRisk Factors

Identifiers

PMID38805487
PMCPMC11132441

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.