Evidence map›Paper›PMID 29746622›Full record

ArticleEuropean journal of public health2018

Socioeconomic factors and mortality in patients with atrial fibrillation-a cohort study in Swedish primary care.

Per Wändell, Axel C Carlsson, Danijela Gasevic, Martin J Holzmann, Johan Ärnlöv, Jan Sundquist, Kristina Sundquist

Abstract read
In one paragraph

Article in European journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Social drivers in atrial fibrillation occurrence, screening, treatment, and outcomes: systematic-narrative hybrid review.European heart journal supplements : journal of the European Society of Cardiology · 2024
    Article
  6. Review
  7. Article
  8. Review
  9. Income and outcomes of patients with incident atrial fibrillation.Journal of epidemiology and community health · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. Observational
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

7 authors.

Per WändellDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Huddinge, Sweden.
Axel C CarlssonDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Huddinge, Sweden.
Danijela GasevicUsher Institute of Population Health Sciences and Informatics, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.
Martin J HolzmannFunctional Area of Emergency Medicine, Karolinska University Hospital, Stockholm, Sweden.
Johan ÄrnlövDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Huddinge, Sweden.
Jan SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Kristina SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.

Funding

Neighborhoods and Coronary Disease: Exploring Mechanisms and Improving MethodsR01HL116381 · NHLBI · LUNDS UNIVERSITET · PI SUNDQUIST, KRISTINA · 2014 to 2017
$1.9M
NHLBI NIH HHS R01 HL116381
6 · The paper itself

Abstract

Background: Preventing ischaemic stroke attracts significant focus in atrial fibrillation (AF) cases. Less is known on the association between socioeconomic factors and mortality and cardiovascular outcomes in patients with AF. Methods: Our study population included adults (n=12 283) ≥45 years diagnosed with AF at 75 primary care centres in Sweden 2001-07. Cox regression was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs) for the association between the exposures educational level, marital status, neighbourhood socioeconomic status and the outcomes all-cause mortality, after adjustment for age, and comorbid cardiovascular conditions. Results: During a mean of 5.8 years (SD 2.4) of follow-up, 3954 (32.3%) patients had died; 1971 were women (35.0%) and 1983 were men (29.8%). Higher educational level was associated with a reduced mortality in fully adjusted models: HR 0.85 (95% CI 0.77-0.96) for secondary school in men, HR 0.73 (95% CI 0.60-0.88) for college/university in women, and HR 0.82 (95% CI 0.71-0.94) for college/university in men, compared to primary school. Unmarried men and divorced men had an increased risk of death, compared with married men: HR 1.25 (95% CI 1.05-1.50), and HR 1.23 (95% CI 1.07-1.42), respectively. College/university education level was also associated with lower risk of myocardial infarction in men and women, and lower risk of congestive heart failure in women. Conclusion: More attention could be paid to individuals of lower levels of formal education, and unmarried men, in order to provide timely management for AF and prevent its debilitating complications.

Indexed as

Primary Health CareSocial ClassAgedAged, 80 and overAtrial FibrillationCohort StudiesDatabases, FactualElectronic Health RecordsFemaleHumansMaleMiddle AgedProportional Hazards ModelsSweden

Identifiers

PMID29746622
PMCPMC6241208

What OpenQuestion holds

Textmetadata
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.