Evidence map›Paper›PMID 34527029›Full record

ArticleJournal of geriatric cardiology : JGC2021

Association between non-culprit healed plaque and plaque progression in acute coronary syndrome patients: an optical coherence tomography study.

Wei-Jun Yin, Jing Jing, Ying-Qian Zhang, Feng Tian, Tao Zhang, Shan-Shan Zhou, Yun-Dai Chen

Open access · greenAbstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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, 10 citations in OpenAlex.

  1. Coronary plaque healing: a safety net or a hazard indicator?Journal of thrombosis and thrombolysis · 2026
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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

7 authors at 1 institution in 1 country.

Wei-Jun YinDepartment of Cardiology, Chinese PLA General Hospital, Beijing, China.
Jing JingDepartment of Cardiology, Chinese PLA General Hospital, Beijing, China.
Ying-Qian ZhangDepartment of Cardiology, Chinese PLA General Hospital, Beijing, China.
Feng TianDepartment of Cardiology, Chinese PLA General Hospital, Beijing, China.
Tao ZhangDepartment of Cardiology, Chinese PLA General Hospital, Beijing, China.
Shan-Shan ZhouDepartment of Cardiology, Chinese PLA General Hospital, Beijing, China.
Yun-Dai ChenDepartment of Cardiology, Chinese PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealed plaques are frequently found in patients with acute coronary syndrome, but the prognostic value is debatable. This study investigated the clinical features of non-culprit healed plaques detected by optical coherence tomography (OCT) with the aim of predicting plaque progression of healed plaques.

methodsThis study retrospectively analyzed 113 non-culprit lesions from 85 patients who underwent baseline OCT imaging and follow-up angiography from January 2015 to December 2019. Plaque progression predictors were assessed by multivariate analysis.

resultsAmong 113 non-culprit lesions, 27 healed plaques (23.9%) were identified. Patients with non-culprit healed plaques had prior antiplatelet therapy (65.0%

conclusionsHealed plaques were a predictor for rapid plaque progression. The quantitative parameters of healed plaque showed a good agreement with plaque progression. Patients with healed plaque were associated with prior antiplatelet therapy and high level of low-density lipoprotein cholesterol. Bifurcation lesions might be the predilection sites of healed plaques.

Identifiers

PMID34527029
PMCPMC8390931
OpenAlexW3174582857

What OpenQuestion holds

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Registered trials

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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.