Evidence map›Paper›PMID 32408860›Full record

Observational studyBMC cardiovascular disorders2020

Cardiac procedures in ST-segment-elevation myocardial infarction - the influence of age, geography and Aboriginality.

Lee K Taylor, Michael A Nelson, Marianne Gale, Judy Trevena, David B Brieger, Scott Winch, Michelle A Cretikos, Leah A Newman, Hai N Phung, Steven C Faddy and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2020. 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 34% 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

12 authors at 5 institutions in 1 country.

Lee K TaylorCentre for Epidemiology and Evidence, NSW Ministry of Health, Sydney, Australia.
Michael A NelsonCentre for Epidemiology and Evidence, NSW Ministry of Health, Sydney, Australia. Michael.Nelson1@health.nsw.gov.au.
Marianne GaleOffice of the Chief Health Officer, NSW Ministry of Health, Sydney, Australia.
Judy TrevenaCentre for Epidemiology and Evidence, NSW Ministry of Health, Sydney, Australia.
David B BriegerConcord Repatriation General Hospital, Sydney, Australia.
Scott WinchIllawarra Local Aboriginal Lands Council, Wollongong, Australia.
Michelle A CretikosCentre for Population Health, NSW Ministry of Health, Sydney, Australia.
Leah A NewmanEpidemiology Section, Population Health Protection and Prevention, ACT Health, Canberra, Australia.
Hai N PhungEpidemiology Section, Population Health Protection and Prevention, ACT Health, Canberra, Australia.
Steven C FaddyClinical Services, NSW Ambulance, Sydney, Australia.
Paul M KellyACT Chief Health Officer & Deputy Director-General, Population Health Protection and Prevention, ACT Health, Canberra, Australia.
Kerry ChantChief Health Officer, NSW Ministry of Health, Sydney, Australia.
New South Wales Department of Health · AUAct Health · AUAboriginal Health Council of South Australia · AUAmbulance Service of New South Wales · AUConcord Repatriation General Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTimely restoration of bloodflow acute ST-segment elevation myocardial infarction (STEMI) reduces myocardial damage and improves prognosis. The objective of this study was describe the association of demographic factors with hospitalisation rates for STEMI and time to angiography, Percutaneous Coronary Intervention (PCI) and Coronary Artery Bypass Graft (CABG) in New South Wales (NSW) and the Australian Capital Territory (ACT), Australia.

methodsThis was an observational cohort study using linked population health data. We used linked records of NSW and the ACT hospitalisations and the Australian Government Medicare Benefits Schedule (MBS) for persons aged 35 and over hospitalised with STEMI in the period 1 July 2010 to 30 June 2014. Survival analysis was used to determine the time between STEMI admission and angiography, PCI and CABG, with a competing risk of death without cardiac procedure.

resultsOf 13,117 STEMI hospitalisations, 71% were among males; 55% were 65-plus years; 64% lived in major cities, and 2.6% were Aboriginal people. STEMI hospitalisation occurred at a younger age in males than females. Angiography and PCI rates decreased with age: angiography 69% vs 42% and PCI 60% vs 34% on day 0 for ages 35-44 and 75-plus respectively. Lower angiography and PCI rates and higher CABG rates were observed outside major cities. Aboriginal people with STEMI were younger and more likely to live outside a major city. Angiography, PCI and CABG rates were similar for Aboriginal and non-Aboriginal people of the same age and remoteness area.

conclusionsThere is a need to improve access to definitive revascularisation for STEMI among appropriately selected older patients and in regional areas. Aboriginal people with STEMI, as a population, are disproportionately affected by access to definitive revascularisation outside major cities. Improving access to timely definitive revascularisation in regional areas may assist in closing the gap in cardiovascular outcomes between Aboriginal and non-Aboriginal people.

Indexed as

Coronary Artery BypassPercutaneous Coronary InterventionAdultAgedAge FactorsAustralian Capital TerritoryCoronary AngiographyDatabases, FactualFemaleHealthcare DisparitiesHumansMaleMiddle AgedNew South WalesRace FactorsResidence CharacteristicsAngiographyPercutaneous coronary interventionST-segment elevation myocardial infarction (STEMI)

Identifiers

PMID32408860
PMCPMC7227061
OpenAlexW3024267729

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.