Evidence map›Paper›PMID 27558904›Full record

ArticleBMJ open2016

Is the incidence of heart attack still decreasing in Australia? Developing reliable methods for monitoring trends in myocardial infarction and coronary heart disease (AUS-MOCHA): a study protocol.

Lee Nedkoff, Matthew Knuiman, Michael S T Hobbs, Joseph Hung, Sushma Mathur, John Beilby, Anna Reynolds, Tom G Briffa, Derrick Lopez, Frank M Sanfilippo

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2016. 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
0.4field-weighted citation impact, top 29% 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, 5 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

10 authors at 2 institutions in 1 country.

Lee NedkoffSchool of Population Health, The University of Western Australia, Crawley, Western Australia, Australia.
Matthew KnuimanSchool of Population Health, The University of Western Australia, Crawley, Western Australia, Australia.
Michael S T HobbsSchool of Population Health, The University of Western Australia, Crawley, Western Australia, Australia.
Joseph HungSir Charles Gairdner Hospital Unit, School of Medicine and Pharmacology (M503), The University of Western Australia, Crawley, Western Australia, Australia.
Sushma MathurAustralian Institute of Health and Welfare, Canberra, Australian Capital Territory, Australia.
John BeilbyPathWest Laboratory Medicine WA, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia School of Pathology and Laboratory Medicine, The University of Western Australia, Perth, Western Australia, Australia.
Anna ReynoldsAustralian Institute of Health and Welfare, Canberra, Australian Capital Territory, Australia.
Tom G BriffaSchool of Population Health, The University of Western Australia, Crawley, Western Australia, Australia.
Derrick LopezSchool of Population Health, The University of Western Australia, Crawley, Western Australia, Australia.
Frank M SanfilippoSchool of Population Health, The University of Western Australia, Crawley, Western Australia, Australia.ORCID 0000-0003-3639-0787
The University of Western Australia · AUAustralian Institute of Health and Welfare · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAccurate monitoring of acute coronary heart disease (CHD) is essential for understanding the effects of primary and secondary prevention and for planning of healthcare services. The ability to reliably monitor acute CHD has been affected by new diagnostic tests for myocardial infarction (MI) and changing clinical classifications and management of CHD. Our study will develop new and reliable methods for monitoring population trends in incidence, outcomes and health service usage for acute CHD and chest pain. METHODS AND ANALYSIS: The study cohort of all CHD will be identified from the Western Australian Data Linkage System using state-wide data sets for emergency department presentation, hospitalisations and mortality data for 2002-2014. This core linked data set will be supplemented with data from hospital medical record reviews, pathology data and hospital pharmacy dispensing databases. The consistency over time of the coding of the different subgroups of CHD/chest pain (ST-elevation MI, non-ST elevation MI, unstable angina, stable angina, other CHD, non-CHD chest pain) in linked data will be assessed using these data sources, and an algorithm developed detailing groups in which temporal trends can be reliably measured. This algorithm will be used for measurement of trends in incidence and outcomes of acute CHD, and to develop further methods for monitoring acute CHD using unlinked and linked data with varying availability of hospitalisation history. ETHICS AND DISSEMINATION: Ethics approval has been obtained from the Human Research Ethics Committees of the WA Department of Health (#2016/23) and The University of Western Australia (RA/4/1/7230). Findings will be disseminated via publication in peer-reviewed journals, and presentation at national and international conferences. There will also be a strong platform for dissemination of new monitoring methods via collaboration with the Australian Institute of Health and Welfare which will assist with promotion of these methods at state and national levels.

Indexed as

Epidemiological MonitoringAustraliaChest PainCoronary DiseaseFemaleHealth ServicesHospitalizationHumansIncidenceInformation Storage and RetrievalMaleMyocardial InfarctionResearch DesignRetrospective StudiesEPIDEMIOLOGY

Identifiers

PMID27558904
PMCPMC5013363
OpenAlexW2507117944

What OpenQuestion holds

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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.