Evidence map›Paper›PMID 28458601›Full record

ArticleKorean journal of radiology

Characteristics Detected on Computed Tomography Angiography Predict Coronary Artery Plaque Progression in Non-Culprit Lesions.

Yahang Tan, Jia Zhou, Ying Zhou, Xiaobo Yang, Junjie Yang, Yundai Chen

Abstract read
In one paragraph

Article in Korean journal of radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

6 authors.

Yahang TanDepartment of Cardiology, Chinese PLA General Hospital, Beijing 100853, China.
Jia ZhouDepartment of Cardiology, Chinese PLA General Hospital, Beijing 100853, China.
Ying ZhouDepartment of Cardiology, Chinese PLA General Hospital, Beijing 100853, China.
Xiaobo YangDepartment of Cardiology, Chinese PLA General Hospital, Beijing 100853, China.
Junjie YangDepartment of Cardiology, Chinese PLA General Hospital, Beijing 100853, China.
Yundai ChenDepartment of Cardiology, Chinese PLA General Hospital, Beijing 100853, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study sought to determine whether variables detected on coronary computed tomography angiography (CCTA) would predict plaque progression in non-culprit lesions (NCL). MATERIALS AND

methodsIn this single-center trial, we analyzed 103 consecutive patients who were undergoing CCTA and percutaneous coronary intervention (PCI) for culprit lesions. Follow-up CCTA was scheduled 12 months after the PCI, and all patients were followed for 3 years after their second CCTA examination. High-risk plaque features and epicardial adipose tissue (EAT) volume were assessed by CCTA. Each NCL stenosis grade was compared visually between two CCTA scans to detect plaque progression, and patients were stratified into two groups based on this. Logistic regression analysis was used to evaluate the factors that were independently associated with plaque progression in NCLs. Time-to-event curves were compared using the log-rank statistic.

resultsOverall, 34 of 103 patients exhibited NCL plaque progression (33%). Logistic regression analyses showed that the NCL progression was associated with a history of ST-elevated myocardial infarction (odds ratio [OR] = 5.855, 95% confidence interval [CI] = 1.391-24.635,

conclusionNoninvasive assessment of NCLs by CCTA has potential prognostic value.

Indexed as

Computed Tomography AngiographyAdipose TissueAgedArea Under CurveCholesterol, HDLCholesterol, LDLCoronary Artery DiseaseDisease ProgressionFemaleHumansKaplan-Meier EstimateLogistic ModelsMaleMiddle AgedOdds RatioPercutaneous Coronary InterventionCholesterol, HDLCholesterol, LDLTriglyceridesCoronary arteryCoronary computed tomography angiographyEpicardial adipose tissueLow attenuation plaqueNon-culprit lesionPlaque progression

Identifiers

PMID28458601
PMCPMC5390618

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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.