Evidence map›Paper›PMID 21842264›Full record

ArticleHeart and vessels2012

Determinants of in-hospital death in patients with postinfarction ventricular septal perforation.

Takeshi Nishida, Kenichi Sakakura, Hiroshi Wada, Nahoko Ikeda, Yoshitaka Sugawara, Norifumi Kubo, Junya Ako, Shin-Ichi Momomura

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Heart and vessels, 2012. 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
–field-weighted citation impact, top 90% 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, 1 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

8 authors at 2 institutions in 1 country.

Takeshi NishidaDivision of Cardiovascular Medicine, Department of Integrated Medicine I, Jichi Medical University Saitama Medical Center, Amanuma 1-847, Omiya, Saitama 330-8503, Japan.
Kenichi Sakakura
Hiroshi Wada
Nahoko Ikeda
Yoshitaka Sugawara
Norifumi Kubo
Junya Ako
Shin-Ichi Momomura
Jichi Medical University Saitama Medical Center · JPJichi Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ventricular septal perforation (VSP) is a serious complication associated with acute myocardial infarction (MI). The purpose of this study was to investigate the determinants of in-hospital death in patients with postinfarction VSP. Between January 1990 and April 2010, we identified 37 patients from our hospital records. Univariate analysis and multivariate logistic regression analysis were performed to find the determinants of in-hospital death. In-hospital mortality was 35% (13/37 patients). History of hypertension (P = 0.03), percutaneous coronary intervention (P = 0.04), and preoperative percutaneous cardiopulmonary support (P = 0.04) were associated with in-hospital death, whereas history of hyperlipidemia was associated with in-hospital survival. The interval from MI to VSP in survivors was significantly longer than that in nonsurvivors (P < 0.01). In multivariate logistic regression analysis, a shorter interval from MI to VSP (odds ratio 0.57, 95% confidence interval 0.34-0.95, P = 0.03) was found to be an independent predictor of in-hospital death. In conclusion, in-hospital mortality was high in patients with postinfarction VSP. A shorter interval from MI to VSP was a significant independent predictor of in-hospital death.

Indexed as

AgedCause of DeathConfidence IntervalsFemaleFollow-Up StudiesHospital MortalityHumansJapanMaleMyocardial InfarctionOdds RatioRetrospective StudiesRisk AssessmentRisk FactorsVentricular Septal Rupture

Identifiers

PMID21842264
OpenAlexW2003440739

What OpenQuestion holds

Textmetadata
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.