Evidence map›Paper›PMID 27906998›Full record

ArticlePloS one2016

Explaining the Decline in Coronary Heart Disease Mortality in the Netherlands between 1997 and 2007.

Carla Koopman, Ilonca Vaartjes, Ineke van Dis, W M Monique Verschuren, Peter Engelfriet, Edith M Heintjes, Anneke Blokstra, Dorly J H Deeg, Marjolein Visser, Michiel L Bots and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
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  7. Long-Term Cause-Specific Mortality in Hodgkin Lymphoma Patients.Journal of the National Cancer Institute · 2021
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  10. Pharmacist role to enhance the prescribing of hospital discharge medications for patients after heart attack.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2020
    Article
  11. Article
  12. Article
  13. Detecting Mortality Trends in the Netherlands Across 625 Causes of Death.International journal of environmental research and public health · 2019
    Article
  14. Article
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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

12 authors at 7 institutions in 2 countries.

Carla KoopmanJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
Ilonca VaartjesJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
Ineke van DisDutch Heart Foundation, The Hague, the Netherlands.
W M Monique VerschurenJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
Peter EngelfrietNational Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Edith M HeintjesPHARMO Institute for drug research, Utrecht, the Netherlands.
Anneke BlokstraNational Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Dorly J H DeegEMGO Institute for Health and Care Research, VU Medical Center, Amsterdam, The Netherlands.
Marjolein VisserEMGO Institute for Health and Care Research, VU Medical Center, Amsterdam, The Netherlands.
Michiel L BotsJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
Martin O'FlahertyDepartment of Public Health & Policy, Institute of Psychology, Health & Society, University of Liverpool, Liverpool, United Kingdom.
Simon CapewellDepartment of Public Health & Policy, Institute of Psychology, Health & Society, University of Liverpool, Liverpool, United Kingdom.
University Medical Center Utrecht · NLHersenstichting · NLNational Institute for Public Health and the Environment · NLUniversity of Liverpool · GBAmsterdam UMC Location VUmc · NLEMGO Institute for Health and Care Research · NLPharmo Institute · NL

Funding

Medical Research Council G0500920
6 · The paper itself

Abstract

objectiveWe set out to determine what proportion of the mortality decline from 1997 to 2007 in coronary heart disease (CHD) in the Netherlands could be attributed to advances in medical treatment and to improvements in population-wide cardiovascular risk factors.

methodsWe used the IMPACT-SEC model. Nationwide information was obtained on changes between 1997 and 2007 in the use of 42 treatments and in cardiovascular risk factor levels in adults, aged 25 or over. The primary outcome was the number of CHD deaths prevented or postponed.

resultsThe age-standardized CHD mortality fell by 48% from 269 to 141 per 100.000, with remarkably similar relative declines across socioeconomic groups. This resulted in 11,200 fewer CHD deaths in 2007 than expected. The model was able to explain 72% of the mortality decline. Approximately 37% (95% CI: 10%-80%) of the decline was attributable to changes in acute phase and secondary prevention treatments: the largest contributions came from treating patients in the community with heart failure (11%) or chronic angina (9%). Approximately 36% (24%-67%) was attributable to decreases in risk factors: blood pressure (30%), total cholesterol levels (10%), smoking (5%) and physical inactivity (1%). Ten% more deaths could have been prevented if body mass index and diabetes would not have increased. Overall, these findings did not vary across socioeconomic groups, although within socioeconomic groups the contribution of risk factors differed.

conclusionCHD mortality has recently halved in The Netherlands. Equally large contributions have come from the increased use of acute and secondary prevention treatments and from improvements in population risk factors (including primary prevention treatments). Increases in obesity and diabetes represent a major challenge for future prevention policies.

Indexed as

AdultAgedAngina PectorisBlood PressureCholesterolCoronary DiseaseExerciseFemaleHeart FailureHumansMaleMiddle AgedNetherlandsRisk FactorsSmokingSocial ClassCholesterol

Identifiers

PMID27906998
PMCPMC5132334
OpenAlexW2559196989

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.