Evidence map›Paper›PMID 28592462›Full record

Trial reportJournal of the American Heart Association2017

Ten-Year (2001-2011) Trends in the Incidence Rates and Short-Term Outcomes of Early Versus Late Onset Cardiogenic Shock After Hospitalization for Acute Myocardial Infarction.

Hoa L Nguyen, Jorge Yarzebski, Darleen Lessard, Joel M Gore, David D McManus, Robert J Goldberg

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Heart Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Increased Serum CA125 and Brain-Derived Neurotrophic Factor (BDNF) Levels on Acute Myocardial Infarction: A Predictor for Acute Heart Failure.Medical science monitor : international medical journal of experimental and clinical research · 2019
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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

6 authors.

Hoa L NguyenDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA.
Jorge YarzebskiDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA.
Darleen LessardDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA.
Joel M GoreDepartment of Quantitative Sciences, Baylor Scott and White Health, Dallas, TX.
David D McManusDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA.
Robert J GoldbergDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA robert.goldberg@umassmed.edu.

Funding

Community Surveillance of Coronary Heart DiseaseR01HL135219 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GOLDBERG, ROBERT JOEL, YU, HONG · 2017 to 2020
$3.2M
Worcester Heart Attack StudyR56HL035434 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GOLDBERG, ROBERT JOEL · 2015 to 2015
$725k
NHLBI NIH HHS R01 HL135219NHLBI NIH HHS R56 HL035434
6 · The paper itself

Abstract

backgroundCardiogenic shock (CS) is a serious complication of acute myocardial infarction, and the time of onset of CS has a potential role in influencing its prognosis. Limited contemporary data exist on this complication, however, especially from a population-based perspective. Our study objectives were to describe decade-long trends in the incidence, in-hospital mortality, and factors associated with the development of CS in 3 temporal contexts: (1) before hospital arrival for acute myocardial infarction (prehospital CS); (2) within 24 hours of hospitalization (early CS); and (3) ≥24 hours after hospitalization (late CS). METHODS AND

resultsThe study population consisted of 5782 patients with an acute myocardial infarction who were admitted to all 11 hospitals in central Massachusetts on a biennial basis between 2001 and 2011. The overall proportion of patients who developed CS was 5.2%. The proportion of patients with prehospital CS (1.6%) and late CS (1.5%) remained stable over time, whereas the proportion of patients with early CS declined from 2.2% in 2001-2003 to 1.2% in 2009-2011. In-hospital mortality for prehospital CS increased from 38.9% in 2001-2003 to 53.6% in 2009-2011, whereas in-hospital mortality for early and late CS decreased over time (35.9% and 64.7% in 2001-2003 to 15.8% and 39.1% in 2009-2011, respectively).

conclusionsDevelopment of prehospital and in-hospital CS was associated with poor short-term survival and the in-hospital death rates among those with prehospital CS increased over time. Interventions focused on preventing or treating prehospital and late CS are needed to improve in-hospital survival after acute myocardial infarction.

Indexed as

ForecastingHospitalizationRisk AssessmentAgedCause of DeathFemaleFollow-Up StudiesHospital MortalityHumansIncidenceMaleMassachusettsMyocardial InfarctionPrognosisProspective StudiesRisk Factorsacute myocardial infarctioncardiogenic shock timinghospital prognosispopulation‐based study

Identifiers

PMID28592462
PMCPMC5669173

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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.