Evidence map›Paper›PMID 34430594›Full record

ArticleAnnals of translational medicine2021

The clinical features and prognosis of type 4C myocardial infarction in patients with non-ST-segment elevation myocardial infarction.

Jixiang Wang, Honggang Gao, Jianyong Xiao, Mingdong Gao, Yin Liu, Jing Gao

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Jixiang WangTianjin Medical University, Tianjin, China.
Honggang GaoDepartment of Cardiology, Qufu People's Hospital, Qufu, China.
Jianyong XiaoDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, China.
Mingdong GaoDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, China.
Yin LiuDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, China.
Jing GaoThoracic Clinical College, Tianjin Medical University, Tianjin, China.
Tianjin Chest Hospital · CNTianjin Medical University · CNQufu Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 4C myocardial infarction (MI) is a special type of myocardial infarction related to restenosis without thrombosis. There is a lack of relevant data on this new classification of acute MI (AMI). This study set out to examine the prognosis and treatment of type 4C MI in patients with non-ST-segment elevation MI (NSTEMI).

methodsWith reference to the NSTEMI cohort study database, we enrolled 1,032 cases of type 1 MI and 42 cases of type 4C MI from the period January 01, 2018 to August 31, 2018. All cases were followed up for 1 year. The outcome was major cardiovascular adverse events (including all-cause deaths, nonfatal MI, heart failure necessitating hospitalization, uncontrollable angina pectoris, and revascularization of the target vessels). Risk ratios (RR) were calculated using the generalized linear model. Cox multivariate analysis was performed to analyze the prognostic effects of drug-coated balloon (DCB) angioplasty or drug-eluting stent (DES) implantation in patients with type 4C MI.

resultsCompared with type 1 MI, type 4C MI was associated with a higher incidence of major adverse cardiovascular events (MACEs) [21.43%

conclusionsType 4C MI has a poorer prognosis than type 1 MI. DCB angioplasty and DES implantation show similar efficacy in the treatment of type 4C MI.

Indexed as

restenosisType 4C myocardial infarction (type 4C MI)universal definition of myocardial infarction

Identifiers

PMID34430594
PMCPMC8350618
OpenAlexW3179675547

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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.