Evidence map›Paper›PMID 25573259›Full record

Observational studyHeart and vessels2016

Long-term effect of β-blocker in ST-segment elevation myocardial infarction in patients with preserved left ventricular systolic function: a propensity analysis.

Hirokazu Konishi, Katsumi Miyauchi, Takatoshi Kasai, Shuta Tsuboi, Manabu Ogita, Ryo Naito, Yuji Nishizaki, Iwao Okai, Hiroshi Tamura, Shinya Okazaki and 2 more

Abstract readComparative StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in Heart and vessels, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 6 pooled it
1.5field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 6 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  7. Article
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  9. Review
  10. Article
  11. Article
  12. Long-Term Quality of Prescription for ST-Segment Elevation Myocardial Infarction (STEMI) Patients: A Real World 1-Year Follow-Up Study.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2020
    Observational
  13. Observational
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

12 authors at 1 institution in 1 country.

Hirokazu KonishiDepartment of Cardiology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8431, Japan.
Katsumi MiyauchiDepartment of Cardiology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8431, Japan. ktmmy@juntendo.ac.jp.
Takatoshi KasaiDepartment of Cardiology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8431, Japan.
Shuta TsuboiDepartment of Cardiology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8431, Japan.
Manabu OgitaDepartment of Cardiology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8431, Japan.
Ryo NaitoDepartment of Cardiology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8431, Japan.
Yuji NishizakiDepartment of Cardiology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8431, Japan.
Iwao OkaiDepartment of Cardiology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8431, Japan.
Hiroshi TamuraDepartment of Cardiology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8431, Japan.
Shinya OkazakiDepartment of Cardiology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8431, Japan.
Kikuo IsodaDepartment of Cardiology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8431, Japan.
Hiroyuki DaidaDepartment of Cardiology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8431, Japan.
Juntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current guidelines for acute myocardial infarction (AMI) recommended that β-blocker should be used in patients with decreased left ventricular (LV) systolic function for long-term period. However, the effect of β-blocker in AMI patients with preserved LV systolic function is uncertain. We sought to assess the long-term effect of β-blocker in AMI patients with preserved LV systolic function. During the follow-up period (1997-2011), total 3508 patients were performed percutaneous coronary intervention (PCI). Of these patients, 424 AMI patients with preserved LV systolic function [ejection fraction (EF) > 40 %] were analyzed. Median follow-up period was 4.7 years. Then, patients were divided into two groups (β-blocker group 197 patients and no-β-blocker group 227 patients). However, there are substantial differences in baseline characteristics between two groups. Therefore, we calculated propensity score to match the patients in β-blocker and no-β-blocker groups. After post-match patients (N = 206, 103 matched pair), β-blocker therapy significantly reduced cardiac death compared with no-β-blocker [hazard ratio (HR) 0.40, p = 0.04], whereas β-blocker therapy was not associated with major adverse cardiac events (MACE) and all-cause death. β-Blocker is an effective treatment for AMI patients who underwent PCI with preserved LV systolic function.

Indexed as

ElectrocardiographyRegistriesAdrenergic beta-AntagonistsDose-Response Relationship, DrugEchocardiographyFemaleFollow-Up StudiesHeart VentriclesHumansMaleMiddle AgedPercutaneous Coronary InterventionPropensity ScoreRetrospective StudiesST Elevation Myocardial InfarctionSystoleAdrenergic beta-AntagonistsAMILong-term outcomePreserved LV functionβ-Blocker

Identifiers

PMID25573259
OpenAlexW2059327166

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.