Evidence map›Paper›PMID 35872699›Full record

ArticleDisease markers2022

Inferior ST-Segment Elevation Can Predict In-Hospital Mortality in Patients with Anterior Myocardial Infarction Complicated by Ventricular Septal Rupture.

Xiaojuan Fan, Shun Wang, Ping Liu, Ling Bai

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Xiaojuan FanDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.ORCID https://orcid.org/0000-0001-7002-4671
Shun WangDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Ping LiuDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.ORCID https://orcid.org/0000-0001-8580-4523
Ling BaiDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.ORCID https://orcid.org/0000-0003-1608-458X
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electrocardiogram (ECG) findings in patients with anterior wall myocardial infarction (MI) complicated by ventricular septal rupture (VSR) have rarely been studied. Methods: We conducted a single-center retrospective study among patients with anterior MI complicated by VSR over the past ten years. The presence of ST-segment elevation (STE) in inferior leads and new onset of complete right bundle branch block (RBBB) on ECG were studied for the prediction of in-hospital mortality. Results: Among the 85 patients enrolled, 45 (52.9%) were male, with a median age of 70 years. Sixty-five patients (76.5%) died in the hospital, and the remaining 20 patients (23.5%) had improved conditions and were discharged. Inferior STE was present in 35 patients (41.2%), including 32 patients in the death group and 3 patients in the survival group ( Conclusions: In patients with anterior MI complicated by VSR, inferior STE was associated with a higher risk of in-hospital mortality.

Indexed as

Anterior Wall Myocardial InfarctionMyocardial InfarctionVentricular Septal RuptureAgedBundle-Branch BlockElectrocardiographyFemaleHospital MortalityHumansMaleRetrospective Studies

Identifiers

PMID35872699
PMCPMC9307369
OpenAlexW4285491118

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.