Evidence map›Paper›PMID 36398091›Full record

Observational studyActa clinica Croatica2022

CORRELATES OF IN-HOSPITAL MORTALITY IN PATIENTS WITH ACUTE CORONARY SYNDROME IN KOSOVO.

Musli M Gashi, Gani Bajraktari Sanije L Gashi, Hasan R Ahmeti, Vesna Degoricija

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Acta clinica Croatica, 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
1.0field-weighted citation impact, top 23% 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, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  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

4 authors at 1 institution in 1 country.

Musli M GashiFaculty of Medicine, Hasan Prishtina University, Prishtina, Kosovo.
Gani Bajraktari Sanije L GashiFaculty of Medicine, Hasan Prishtina University, Prishtina, Kosovo.
Hasan R AhmetiFaculty of Medicine, Hasan Prishtina University, Prishtina, Kosovo.
Vesna DegoricijaUniversity of Zagreb School of Medicine, Zagreb, Croatia.
University Clinical Center of Kosovo · XK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been demonstrated that pre-hospital emergency care reduces in-hospital mortality in patients admitted with acute coronary syndrome (ACS). The aim of this study was to analyze the relationship between pre-hospital emergency care and in-hospital mortality in ACS patients treated at the University Clinical Centre of Kosovo Emergency Department (UCCK ED). This observational clinical study included 1498 ACS patients treated at UCCK ED and followed-up by phone call for one year after discharge from the hospital. According to multivariate Cox regression analysis, age (HR=2.37, 95% CI 1.67-3.52), pre-hospital emergency care (HR=3.92, 95% CI 2.35-6.54), STEMI (HR=6.17, 95% CI 3.22-15.31), diabetes mellitus (HR=3.01, 95% CI 1.98-3.78), left ventricular ejection fraction <40% (HR=17.63, 95% CI 11.2-30.54) and ex-smoking (HR=2.34, 95% CI 1.57-3.85) were significant predictors of mortality in ACS patients. In-hospital mortality of patients admitted with ACS remains high in Kosovo as compared with developed countries. A better strategy for pre-hospital emergency care in Kosovo is recommended to save lives in these high-risk patients.

Indexed as

Acute Coronary SyndromeHospital MortalityHumansKosovoStroke VolumeVentricular Function, LeftAcute coronary syndromeEmergency departmentIn-hospital mortality

Identifiers

PMID36398091
PMCPMC9616030
OpenAlexW4295779881

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.