Evidence map›Paper›PMID 25794453›Full record

ArticleMayo Clinic proceedings2015

Acute coronary syndromes in the community.

Sheila M Manemann, Yariv Gerber, Alanna M Chamberlain, Shannon M Dunlay, Malcolm R Bell, Allan S Jaffe, Susan A Weston, Jill M Killian, Jan Kors, Véronique L Roger

Abstract read
In one paragraph

Article in Mayo Clinic proceedings, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Trial
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  6. Article
  7. Practical Care Support During the Early Recovery Period After Acute Coronary Syndrome.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2018
    Article
  8. Article
  9. Article
  10. 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

10 authors.

Sheila M ManemannDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN.
Yariv GerberDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN; Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Alanna M ChamberlainDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN.
Shannon M DunlayDivision of Cardiovascular Diseases, Department of Internal Medicine, Mayo Clinic, Rochester, MN.
Malcolm R BellDivision of Cardiovascular Diseases, Department of Internal Medicine, Mayo Clinic, Rochester, MN.
Allan S JaffeDivision of Cardiovascular Diseases, Department of Internal Medicine, Mayo Clinic, Rochester, MN.
Susan A WestonDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN.
Jill M KillianDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN.
Jan KorsDepartment of Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands.
Véronique L RogerDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN; Division of Cardiovascular Diseases, Department of Internal Medicine, Mayo Clinic, Rochester, MN. Electronic address: roger.veronique@mayo.edu.

Funding

Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
CORONARY DISEASE MORBIDITY AND MORTALITY IN A POPULATIONR01HL059205 · NHLBI · MAYO CLINIC ROCHESTER · PI ROGER, VERONIQUE LEE · 1998 to 2012
$4.6M
NHLBI NIH HHS R01 HL059205NHLBI NIH HHS R01HL59205NIA NIH HHS R01 AG034676NIA NIH HHS R01-AG034676
6 · The paper itself

Abstract

objectivesTo measure the incidence of acute coronary syndrome (ACS), defined as first-ever myocardial infarction (MI) or unstable angina (UA); evaluate recent temporal trends; and determine whether survival after ACS has changed over time and differs by type. PATIENTS AND

methodsThis was a population surveillance study conducted in Olmsted County, Minnesota (population: 144,248). All persons hospitalized with incident ACS between January 1, 2005, and December 31, 2010, were identified using International Classification of Diseases, Ninth Revision codes, natural language processing of the medical records, and biomarkers. Myocardial infarction was validated by epidemiologic criteria and UA by the Braunwald classification. Patients were followed through June 30, 2013, for death.

resultsOf 1244 incident ACS cases, 35% (n=438) were UA and 65% (n=806) were MI. The standardized rates (per 100,000) of ACS were 284 (95% CI, 248-319) in 2005 and 184 (95% CI, 157-210) in 2010 (2010 vs 2005: rate ratio, 0.62; 95% CI, 0.53-0.73), indicating a 38% decline (similar for MI and UA). The 30-day case fatality rates did not differ by year of diagnosis but were worse for MI (8.9%; 95% CI, 6.9%-10.9%) compared with UA (1.9%; 95% CI, 0.6%-3.1%). Among 30-day survivors, the risk of death did not differ by ACS type or diagnosis year.

conclusionIn the community, UA constitutes 35% of ACS. The incidence of ACS has declined in recent years, and trends were similar for UA and MI, reaffirming a substantial decline in all acute manifestations of coronary disease. Survival after ACS did not change over time, but 30-day survival was worse for MI compared with UA.

Indexed as

Acute Coronary SyndromeAgedAged, 80 and overAngina, UnstableFemaleHumansIncidenceMaleMiddle AgedMyocardial InfarctionPopulation SurveillanceSurvival RateTime Factors

Identifiers

PMID25794453
PMCPMC4420654

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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.