Evidence map›Paper›PMID 26035661›Full record

ArticleInternational journal of environmental research and public health2015

Does treatment impact health outcomes for patients after acute coronary syndrome?

Jelena Umbrasienė, Giedrius Vanagas, Jon Venclovienė

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Observational
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

3 authors.

Jelena UmbrasienėDepartment of Preventive Medicine, Lithuanian University of Health Sciences, 57-302 Šiaurės ave, Kaunas LT-49264, Lithuania. jelena0110@yahoo.com.
Giedrius VanagasDepartment of Preventive Medicine, Lithuanian University of Health Sciences, 57-302 Šiaurės ave, Kaunas LT-49264, Lithuania. giedrius.vanagas@lsmuni.lt.
Jon VenclovienėInstitute of Cardiology, Lithuanian University of Health Sciences, 17 Sukilėlių ave, Kaunas LT-50009, Lithuania. j.vencloviene@gmf.vdu.lt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMortality rates for acute coronary syndrome (ACS) patients are still very high all over the world. Our study aimed to investigate the impact of ACS treatment on cardiovascular (CV) mortality eight years following ACS.

methodsA retrospective cohort study with a total of 613 patients was used. The data was collected from databases and medical records. An evidence-based treatment (EBT) algorithm was used based on the ESC guidelines. Logistic regression analysis and standardized odds ratios with 95% confidence interval (CI) were used for the risk assessment, with a p level<0.05 considered as significant.

resultsThe median follow-up time in this study was 7.6 years. During follow-up 48.9% of the patients (n=300) died from CV and 207 (69%) for a relevant reason. For monotherapy ACE inhibitors and β-blockers, and for fixed dose combined drugs ACE inhibitors and diuretics, were most frequently used. EBT was provided to 37.8% of patients. The EBT use (HR 0.541, CI 0.394-0.742, p<0.001) during follow-up period was important for reducing CV mortality in ACS patients.

conclusionsThe combined use of EBT significantly improved outcomes. The recurrent myocardial infarction and percutaneous coronary intervention patients were more frequent in EBT and it was beneficial for reducing CV mortality.

Indexed as

Acute Coronary SyndromeAgedAged, 80 and overEvidence-Based MedicineFemaleHumansLogistic ModelsMaleMyocardial InfarctionOdds RatioRetrospective StudiesRisk AssessmentTreatment Outcomecardiovascular mortalityevidence-based treatment

Identifiers

PMID26035661
PMCPMC4483692

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.