Evidence map›Paper›PMID 27605941›Full record

ArticleJournal of geriatric cardiology : JGC2016

A new cooperative approach for ST-elevation myocardial infarction patients to receive timely and effective percutaneous coronary reperfusion in China.

Jin-Chuan Yan, Yang Yan, Cui-Ping Wang, Liang-Jie Xu, Yi Liang

Abstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Jin-Chuan YanDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Yang YanMedical School of Jiangsu University, Zhenjiang, Jiangsu, China.
Cui-Ping WangDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Liang-Jie XuDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Yi LiangDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute myocardial infarction (AMI) is the most serious type of coronary heart disease. However, less than 30% of these patients have been treated effectively in China. Delayed treatment is a leading cause. This study aimed to evaluate a new regional cooperative model for improving the first medical contact-to-device time and the therapeutic effects on AMI patients.

methodsA retrospective analysis of 458 ST-elevation myocardial infarction (STEMI) patients was performed. Patients were divided into two groups in terms of before or after the model were implemented. First medical contact-to-device time (FMC2D), Door to device time (D2D), referral time, cardiac functions, mean cost, days of hospitalization, and major adverse cardiac events (MACE) were analyzed.

resultsThe mean FMC2D time, D2D time and referral time of the model group were significantly lower than the control group. The left ventricular ejection fraction of the model group increased but the left ventricular end-diastolic dimension decreased compared with the control group at 6 months after discharge. These results also showed that mean costs and days of hospitalization were reduced. The MACE rate was reduced in the model group.

conclusionsThese results suggested that the new model decreased the FMC2D time, which could improve the cardiac function and therapeutic effect of STEMI patients as well as decreased the financial burden.

Indexed as

Acute myocardial infarctionFirst medical contactRegional cooperative rescue model

Identifiers

PMID27605941
PMCPMC4996835

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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.