Evidence map›Paper›PMID 35370503›Full record

ArticleEuropean heart journal supplements : journal of the European Society of Cardiology2022

Predictors allowing early discharge after interventional treatment of acute coronary syndrome patients.

Dávid Bauer, Marek Neuberg, Markéta Nováčková, Petr Mašek, Viktor Kočka, Zuzana Moťovská, Petr Toušek

Open access · bronzeAbstract read
In one paragraph

Article in European heart journal supplements : journal of the European Society of Cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Review
  4. 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

7 authors at 2 institutions in 1 country.

Dávid BauerDepartment of Cardiology, Third Faculty of Medicine, Charles University and University Hospital Královské Vinohrady, Prosecká 852/66, 190 00 Prague, Czech Republic.
Marek NeubergMedtronic Czechia, Partner of INTERCARDIS Project, Prosecká 852/66, 190 00 Prague, Czech Republic.
Markéta NováčkováDepartment of Cardiology, Third Faculty of Medicine, Charles University and University Hospital Královské Vinohrady, Prosecká 852/66, 190 00 Prague, Czech Republic.
Petr MašekMedtronic Czechia, Partner of INTERCARDIS Project, Prosecká 852/66, 190 00 Prague, Czech Republic.
Viktor KočkaDepartment of Cardiology, Third Faculty of Medicine, Charles University and University Hospital Královské Vinohrady, Prosecká 852/66, 190 00 Prague, Czech Republic.
Zuzana MoťovskáDepartment of Cardiology, Third Faculty of Medicine, Charles University and University Hospital Královské Vinohrady, Prosecká 852/66, 190 00 Prague, Czech Republic.
Petr ToušekDepartment of Cardiology, Third Faculty of Medicine, Charles University and University Hospital Královské Vinohrady, Prosecká 852/66, 190 00 Prague, Czech Republic.
Charles University · CZUniversity Hospital Kralovske Vinohrady · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many scoring systems for predicting the outcomes of patients with acute coronary syndrome (ACS) have been proposed. In some populations, a significant reduction in length of hospital stay may be achieved without compromising patient prognoses. However, the use of such scoring systems in clinical practice is limited. The aim of this study was to propose a universal list of predictors that can identify low-risk ACS patients who may be eligible for an earlier hospital discharge without increased short-term risk for major adverse cardiac events. A cohort of 1420 patients diagnosed with ACS were enrolled into a single-centre registry between October 2018 and December 2020. Clinical, laboratory, echocardiographic, and angiographic measurements were taken for each patient and entered into the study database. Using retrospective univariant analyses of patients treated with percutaneous coronary intervention (PCI) (

Indexed as

Acute coronary syndromeEarly dischargeLow riskPredictorsPrognosis

Identifiers

PMID35370503
PMCPMC8971740
OpenAlexW4210459014

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.