Evidence map›Paper›PMID 30268098›Full record

ArticleBMC emergency medicine2018

Socioeconomic gradients in admission to coronary or intensive care units among Australians presenting with non-traumatic chest pain in emergency departments.

George Mnatzaganian, Janet E Hiller, Jason Fletcher, Mark Putland, Cameron Knott, George Braitberg, Steve Begg, Melanie Bish

Open access · goldAbstract read
In one paragraph

Article in BMC emergency medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Yentl syndrome and the ICU.Intensive care medicine · 2021
    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

8 authors at 4 institutions in 1 country.

George MnatzaganianLa Trobe Rural Health School, College of Science, Health and Engineering, La Trobe University, PO Box 199, Bendigo, VIC, 3552, Australia. G.Mnatzaganian@latrobe.edu.au.ORCID 0000-0002-7698-5091
Janet E HillerSchool of Health Sciences, Faculty of Health, Arts and Design, Swinburne University of Technology, John Street, Hawthorn, VIC, Australia.
Jason FletcherIntensive Care Unit, Bendigo Health, Barnard Street, Bendigo, VIC, Australia.
Mark PutlandDepartment of Emergency Medicine, Royal Melbourne Hospital, Parkville, VIC, Australia.
Cameron KnottIntensive Care Unit, Bendigo Health, Barnard Street, Bendigo, VIC, Australia.
George BraitbergDepartment of Emergency Medicine, Royal Melbourne Hospital, Parkville, VIC, Australia.
Steve BeggLa Trobe Rural Health School, College of Science, Health and Engineering, La Trobe University, PO Box 199, Bendigo, VIC, 3552, Australia.
Melanie BishLa Trobe Rural Health School, College of Science, Health and Engineering, La Trobe University, PO Box 199, Bendigo, VIC, 3552, Australia.
La Trobe University · AUBendigo Health · AUThe Royal Melbourne Hospital · AUThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocioeconomic inequalities in cardiovascular morbidity have been previously reported showing direct associations between socioeconomic disadvantage and worse health outcomes. However, disagreement remains regarding the strength of the direct associations. The main objective of this panel design was to inspect socioeconomic gradients in admission to a coronary care unit (CCU) or an intensive care unit (ICU) among adult patients presenting with non-traumatic chest pain in three acute-care public hospitals in Victoria, Australia, during 2009-2013.

methodsConsecutive adults aged 18 or over presenting with chest pain in three emergency departments (ED) in Victoria, Australia during the five-year study period were eligible to participate. A relative index of inequality of socioeconomic status (SES) was estimated based on residential postcode socioeconomic index for areas (SEIFA) disadvantage scores. Admission to specialised care units over repeated presentations was modelled using a multivariable Generalized Estimating Equations approach that accounted for various socio-demographic and clinical variables.

resultsNon-traumatic chest pain accounted for 10% of all presentations in the emergency departments (ED). A total of 53,177 individuals presented during the study period, with 22.5% presenting more than once. Of all patients, 17,579 (33.1%) were hospitalised over time, of whom 8584 (48.8%) were treated in a specialised care unit. Female sex was independently associated with fewer admissions to CCU / ICU, whereas, a dose-response effect of socioeconomic disadvantage and admission to CCU / ICU was found, with risk of admission increasing incrementally as SES declined. Patients coming from the lowest SES locations were 27% more likely to be admitted to these units compared with those coming from the least disadvantaged locations, p <  0.001. Men were significantly more likely to be admitted to such units than similarly affected and aged women among those diagnosed with angina pectoris, arrhythmia, myocardial infarction, heart failure, chest pain, and general signs and symptoms.

conclusionsThis study is the first to report socioeconomic gradients in admission to CCU / ICU in patients presenting with chest pain showing a dose-response effect. Our findings suggest increased cardiovascular morbidity as socioeconomic disadvantage increases.

Indexed as

AgedAged, 80 and overAge FactorsChest PainCoronary Care UnitsEmergency Service, HospitalFemaleHospitalizationHumansIntensive Care UnitsMaleMiddle AgedSex FactorsSocioeconomic FactorsTriageVictoriaCardiovascular morbidityChest painEmergency departmentIntensive careSocioeconomic gradients

Identifiers

PMID30268098
PMCPMC6162924
OpenAlexW2892521529

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.