Evidence map›Paper›PMID 36834296›Full record

Observational studyInternational journal of environmental research and public health2023

Assessment of In-Hospital Mortality and Its Risk Factors in Patients with Myocardial Infarction Considering the Logistical Aspects of the Treatment Process-A Single-Center, Retrospective, Observational Study.

Lukasz Gawinski, Monika Burzynska, Michal Marczak, Remigiusz Kozlowski

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 1 country.

Lukasz GawinskiDepartment of Management and Logistics in Health Care, Medical University of Lodz, 90-237 Lodz, Poland.ORCID 0000-0002-0466-0642
Monika BurzynskaDepartment of Epidemiology and Biostatistics, Medical University of Lodz, 90-237 Lodz, Poland.ORCID 0000-0001-9875-7383
Michal MarczakCollegium of Management, WSB University in Warsaw, 03-204 Warsaw, Poland.
Remigiusz KozlowskiCenter of Security Technologies in Logistics, Faculty of Management, University of Lodz, 90-237 Lodz, Poland.ORCID 0000-0003-2781-5341
Medical University of Lodz · PLUniversity of Łódź · PLWSB University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological progress, such as the launching of a new generation of drug-coated stents as well as new antiplatelet drugs, has resulted in the treatment of myocardial infarction (MI) becoming much more effective. The aim of this study was to assess in-hospital mortality and to conduct an assessment of risk factors relevant to the in-hospital death of patients with MI. This study was based on an observational hospital registry of patients with MI (ACS GRU registry). For the purpose of the statistical analysis of the risk factors of death, a univariate logistic regression model was applied. In-hospital general mortality amounted to 7.27%. A higher death risk was confirmed in the following cases: (1) serious adverse events (SAEs) that occurred during the procedure; (2) patients transferred from another department of a hospital (OR = 2.647,

Indexed as

Angioplasty, Balloon, CoronaryMyocardial InfarctionHospital MortalityHumansRegistriesRetrospective StudiesRisk AssessmentRisk FactorsTreatment Outcomein-hospital deathlogistical aspects of the treatment processmyocardial infarction

Identifiers

PMID36834296
PMCPMC9963836
OpenAlexW4321374637

What Socratic 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 Socratic graph.