Evidence map›Paper›PMID 27493759›Full record

ArticleOpen heart

Cardiovascular disease risk factors in relation to smoking behaviour and history: a population-based cohort study.

Jaana Keto, Hanna Ventola, Jari Jokelainen, Kari Linden, Sirkka Keinänen-Kiukaanniemi, Markku Timonen, Tero Ylisaukko-Oja, Juha Auvinen

Abstract read
In one paragraph

Article in Open heart. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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.

Jaana KetoFaculty of Medicine, Center for Life Course Health Research, University of Oulu, Oulu, Finland; MedEngine Oy, Helsinki, Finland.
Hanna VentolaMedEngine Oy, Helsinki, Finland; Department of Pharmacology, Institute of Biomedicine, University of Helsinki, Helsinki, Finland.
Jari JokelainenFaculty of Medicine, Center for Life Course Health Research, University of Oulu, Oulu, Finland; Unit of General Practice, Oulu University Hospital, Oulu, Finland.
Kari LindenPfizer Oy , Helsinki , Finland.
Sirkka Keinänen-KiukaanniemiFaculty of Medicine , Center for Life Course Health Research, University of Oulu , Oulu , Finland.
Markku TimonenFaculty of Medicine , Center for Life Course Health Research, University of Oulu , Oulu , Finland.
Tero Ylisaukko-OjaFaculty of Medicine, Center for Life Course Health Research, University of Oulu, Oulu, Finland; MedEngine Oy, Helsinki, Finland.
Juha AuvinenFaculty of Medicine , Center for Life Course Health Research, University of Oulu , Oulu , Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate how individual risk factors for cardiovascular disease (CVD) (blood pressure, lipid levels, body mass index, waist and hip circumference, use of antihypertensive or hypolipidemic medication, and diagnosed diabetes) differ in people aged 46 years with different smoking behaviour and history.

methodsThis population-based cohort study is based on longitudinal data from the Northern Finland Birth Cohort 1966 project. Data were collected at the 31-year and 46-year follow-ups, when a total of 5038 and 5974 individuals participated in clinical examinations and questionnaires. Data from both follow-ups were available for 3548 participants. In addition to individual CVD risk factors, Framingham and Systematic Coronary Risk Evaluation (SCORE) algorithms were used to assess the absolute risk of a CVD event within the next decade.

resultsThe differences in individual risk factors for CVD reached statistical significance for some groups, but the differences were not consistent or clinically significant. There were no clinically significant differences in CVD risk as measured by Framingham or SCORE algorithms between never smokers, recent quitters and former smokers (7.5%, 7.4%, 8.1% for men; 3.3%, 3.0%, 3.2% for women; p<0.001).

conclusionsThe effect of past or present smoking on individual CVD risk parameters such as blood pressure and cholesterol seems to be of clinically minor significance in people aged 46 years. In other words, smoking seems to be above all an independent risk factor for CVD in the working-age population. Quitting smoking in working age may thus reduce calculated CVD risk nearly to the same level with people who have never smoked.

Identifiers

PMID27493759
PMCPMC4947752

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.