Evidence map›Paper›PMID 29672537›Full record

ArticlePloS one2018

Explaining trends in coronary heart disease mortality in different socioeconomic groups in Denmark 1991-2007 using the IMPACTSEC model.

Albert Marni Joensen, Torben Joergensen, Søren Lundbye-Christensen, Martin Berg Johansen, Maria Guzman-Castillo, Piotr Bandosz, Jesper Hallas, Eva Irene Bossano Prescott, Simon Capewell, Martin O'Flaherty

Abstract readHistorical Article
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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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

13 citing papers in PubMed.

  1. Article
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  4. Review
  5. Epidemiology of cardiovascular disease in Europe.Nature reviews. Cardiology · 2022
    Review
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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.

Albert Marni JoensenAalborg University Hospital, Department of Cardiology, Aalborg, Denmark.ORCID 0000-0002-9963-9511
Torben JoergensenResearch Center for Prevention and Health, Centre of Health, The Capital Region, Copenhagen, Denmark.
Søren Lundbye-ChristensenUnit of Clinical Biostatistics, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0002-9420-2783
Martin Berg JohansenUnit of Clinical Biostatistics, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0001-9790-0985
Maria Guzman-CastilloUniversity of Liverpool, Department of Public Health and Policy, Liverpool, United Kingdom.ORCID 0000-0002-1220-9472
Piotr BandoszUniversity of Liverpool, Department of Public Health and Policy, Liverpool, United Kingdom.
Jesper HallasClinical Pharmacology, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Eva Irene Bossano PrescottBispebjerg University Hospital, Capital Region of Denmark, Copenhagen, Denmark.
Simon CapewellUniversity of Liverpool, Department of Public Health and Policy, Liverpool, United Kingdom.
Martin O'FlahertyUniversity of Liverpool, Department of Public Health and Policy, Liverpool, United Kingdom.ORCID 0000-0001-8944-4131

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo quantify the contribution of changes in different risk factors population levels and treatment uptake on the decline in CHD mortality in Denmark from 1991 to 2007 in different socioeconomic groups.

designWe used IMPACTSEC, a previously validated policy model using data from different population registries.

participantsAll adults aged 25-84 years living in Denmark in 1991 and 2007.

main outcome measureDeaths prevented or postponed (DPP).

resultsThere were approximately 11,000 fewer CHD deaths in Denmark in 2007 than would be expected if the 1991 mortality rates had persisted. Higher mortality rates were observed in the lowest socioeconomic quintile. The highest absolute reduction in CHD mortality was seen in this group but the highest relative reduction was in the most affluent socioeconomic quintile. Overall, the IMPACTSEC model explained nearly two thirds of the decline in. Improved treatments accounted for approximately 25% with the least relative mortality reduction in the most deprived quintile. Risk factor improvements accounted for approximately 40% of the mortality decrease with similar gains across all socio-economic groups. The 36% gap in explaining all DPPs may reflect inaccurate data or risk factors not quantified in the current model.

conclusionsAccording to the IMPACTSEC model, the largest contribution to the CHD mortality decline in Denmark from 1991 to 2007 was from improvements in risk factors, with similar gains across all socio-economic groups. However, we found a clear socioeconomic trend for the treatment contribution favouring the most affluent groups.

Indexed as

Social ClassAdultAgedAged, 80 and overCoronary DiseaseDenmarkFemaleHistory, 20th CenturyHistory, 21st CenturyHumansMaleMiddle AgedPublic Health SurveillanceRisk FactorsSocioeconomic Factors

Identifiers

PMID29672537
PMCPMC5909604

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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.