Evidence map›Paper›PMID 32385129›Full record

ArticleJournal of epidemiology and community health2020

Relationship between socioeconomic status and incidence of out-of-hospital cardiac arrest is dependent on age.

Martin Jonsson, Petter Ljungman, Juho Härkönen, Ben Van Nieuwenhuizen, Sidsel Møller, Mattias Ringh, Per Nordberg, , for the ESCAPE-NET investigators

Open access · hybridAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Socio-economic position and sudden cardiac death: a Danish nationwide study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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 4 countries.

Martin JonssonCenter for Resusctitation Science, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden martin.k.jonsson@ki.se.ORCID 0000-0002-3539-8317
Petter LjungmanInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Juho HärkönenDepartment of Political and Social Sciences, European University Institute, Florence, Italy.ORCID 0000-0001-9687-1932
Ben Van NieuwenhuizenDepartment of Public Health, Amsterdam UMC, Amsterdam, the Netherlands.
Sidsel MøllerDepartment of Cardiology, Gentofte Hospital, Copenhagen, Denmark.
Mattias RinghCenter for Resusctitation Science, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.
Per NordbergCenter for Resusctitation Science, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.
, for the ESCAPE-NET investigators
Karolinska Institutet · SEGentofte Hospital · DKGGD Amsterdam · NLStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between socioeconomic status (SES) and incidence of out-of-hospital cardiac arrest (OHCA) is not fully understood. The aim of this study was to see if area-level socioeconomic differences, measured in terms of area-level income and education, are associated with the incidence of OHCA, and if this relationship is dependent on age.

methodsWe included OHCAs that occurred in Stockholm County between the 1st of January 2006 and the 31st of December 2017, the victims being confirmed residents (n=10 574). We linked the home address to a matching neighbourhood (base unit) via available socioeconomic and demographic information. Socioeconomic variables and incidence rates were assessed by using cross-sectional values at the end of each year. We used zero-inflated negative binomial regression to calculate incidence rate ratios (IRRs).

resultsAmong 1349 areas with complete SES information, 10 503 OHCAs occurred between 2006 and 2017. The IRR in the highest versus the lowest SES area was 0.61 (0.50-0.75) among persons in the 0-44 age group. Among patients in the 45-64 age group, the corresponding IRR was 0.55 (0.47-0.65). The highest SES areas versus the lowest showed an IRR of 0.59 (0.50-0.70) in the 65-74 age group. In the two highest age groups, no significant association was seen (75-84 age group: 0.93 (0.80-1.08); 85+ age group: 1.05 (0.84-1.23)). Similar crude patterns were seen among both men and women.

conclusionsAreas characterised by high SES showed a significantly lower incidence of OHCA. This relationship was seen up to the age of 75, after which the relationship disappeared, suggesting a levelling effect.

Indexed as

Age FactorsOut-of-Hospital Cardiac ArrestSocial ClassAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCross-Sectional StudiesFemaleHumansIncidenceIncomeInfantInfant, NewbornDEMOGRAPHYEDUCATIONEpidemiology of cardiovascular diseaseINEQUALITIESSOCIAL EPIDEMIOLOGYSOCIAL INEQUALITIES

Identifiers

PMID32385129
PMCPMC7577091
OpenAlexW3023979481

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.