Evidence map›Paper›PMID 37034343›Full record

ArticleFrontiers in cardiovascular medicine2023

Identification of vulnerable non-culprit lesions by coronary computed tomography angiography in patients with chronic coronary syndrome and diabetes mellitus.

Jia Zhao, Hong Zhang, Chang Liu, Ying Zhang, Cun Xie, Minghui Wang, Chengjian Wang, Shuo Wang, Yuanyuan Xue, Shuo Liang and 4 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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

14 authors.

Jia ZhaoClinical School of Thoracic, Tianjin Medical University, Tianjin, China.
Hong ZhangClinical School of Thoracic, Tianjin Medical University, Tianjin, China.
Chang LiuClinical School of Thoracic, Tianjin Medical University, Tianjin, China.
Ying ZhangDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, China.
Cun XieDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, China.
Minghui WangDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, China.
Chengjian WangDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, China.
Shuo WangClinical School of Thoracic, Tianjin Medical University, Tianjin, China.
Yuanyuan XueDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, China.
Shuo LiangDepartment of Radiology, Tianjin Chest Hospital, Tianjin, China.
Yufan GaoDepartment of Radiology, Tianjin Chest Hospital, Tianjin, China.
Hongliang CongDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, China.
Chunjie LiClinical School of Thoracic, Tianjin Medical University, Tianjin, China.
Jia ZhouClinical School of Thoracic, Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Among patients with diabetes mellitus (DM) and chronic coronary syndrome (CCS), non-culprit lesions (NCLs) are responsible for a substantial number of future major adverse cardiovascular events (MACEs). Thus, we aimed to establish the natural history relationship between adverse plaque characteristics (APCs) of NCLs non-invasively identified by coronary computed tomography angiography (CCTA) and subsequent MACEs in these patients. Methods: Between January 2016 and January 2019, 523 patients with DM and CCS were included in the present study after CCTA and successful percutaneous coronary intervention (PCI). All patients were followed up for MACEs (the composite of cardiac death, myocardial infarction, and unplanned coronary revascularization) until January 2022, and the independent clinical event committee classified MACEs as indeterminate, culprit lesion (CL), and NCL-related. The primary outcome was MACEs arising from untreated NCLs during the follow-up. The association between plaque characteristics detected by CCTA and primary outcomes was determined by Marginal Cox proportional hazard regression. Results: Overall, 1,248 NCLs of the 523 patients were analyzed and followed up for a median of 47 months. The cumulative rates of indeterminate, CL, and NCL-related MACEs were 2.3%, 14.5%, and 20.5%, respectively. On multivariate analysis, NCLs associated with recurrent MACEs were more likely to be characterized by a plaque burden >70% [hazard ratio (HR), 4.35, 95% confidence interval (CI): 2.92-6.44], a low-density non-calcified plaque (LDNCP) volume >30 mm Conclusions: In DM patients who presented with CCS and underwent PCI, half of the MACEs occurring during the follow-up were attributable to recurrence at the site of NCLs. NCLs responsible for unanticipated MACEs were frequently characterized by a large plaque burden and LDNCP volume, a small MLA, or a combination of these APCs, as determined by CCTA.

Indexed as

adverse plaque characteristicchronic coronary syndromecoronary computed tomography angiographydiabetes mellitusmajor adverse cardiovascular eventnon-culprit lesion

Identifiers

PMID37034343
PMCPMC10076802

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.