Evidence map›Paper›PMID 22095658›Full record

ArticleClinical cardiology2011

Mortality trends for non-ST-segment elevation myocardial infarction (NSTEMI) in the United States from 1988 to 2004.

Mohammed Reza Movahed, Jooby John, Mehrnoosh Hashemzadeh, Mehrtash Hashemzadeh

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In one paragraph

Article in Clinical cardiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 16% 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, 19 citations in OpenAlex.

  1. Trial
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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

4 authors at 2 institutions in 1 country.

Mohammed Reza MovahedSection of Cardiology, Department of Medicine, The Southern Arizona VA Health Care System, Tucson, Arizona 85721, USA. rmovahed@email.arizona.edu
Jooby John
Mehrnoosh Hashemzadeh
Mehrtash Hashemzadeh
University of Arizona · USVA Long Beach Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-ST-segment myocardial infarction (NSTEMI) is one of the major causes of hospital admissions. Mortality trend in patients with NSTEMI over the years has not been studied well. The goal of this study is to explore age-adjusted long-term mortality trends from NSTEMI in the United States using a very large database.

methodsWe used the National Inpatient Sample (NIS) database, a component of the Health Care Cost and Utilization (HCUP) project, for this study. International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) codes were used to identify NSTEMI cases in patients >40 years old. Age-adjusted mortality rates for NSTEMI cases were calculated by multiplying the age-specific mortality rates of NSTEMI by age-specific weights.

resultsA total of 1,400,234 patients above the age of 40 years were identified. The mean age of this cohort was 77.1±10.7 years, with a total of 179,361 deaths being reported over this 16-year period. Among patients who died, 51.2% were men and 48.8% were women. The age-adjusted mortality from NSTEMI declined from 1988 (727 per 100,000) to 2004 (305 per 100,000) until the middle of the decade when mortality from NSTEMI started leveling off. Total mortality decreased from 29.6% in 1988 to 11.3% in 2004.

conclusionsOur analysis showed a significant reduction in the age-adjusted and total mortality for NSTEMI over the years studied. The cause of this trend is not known but most likely reflects advancement in the treatment of patients with acute coronary syndrome.

Indexed as

AgedAged, 80 and overAge DistributionAge FactorsFemaleHumansMaleMortalityMyocardial InfarctionRegistriesRetrospective StudiesTime FactorsUnited States

Identifiers

PMID22095658
PMCPMC6652378
OpenAlexW2048986022

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.