Evidence map›Paper›PMID 12118058›Full record

ArticleJournal of epidemiology and community health2002

Socioeconomic status of very small areas and stroke incidence in the Netherlands.

J Smits, G P Westert, G A M van den Bos

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of epidemiology and community health, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Non-compensatory aggregation method to measure social and material deprivation in an urban area: relationship with premature mortality.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
    Article
  3. Article
  4. Article
  5. Community income and surgical rates in the Netherlands.Journal of epidemiology and community health · 2003
    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

3 authors at 3 institutions in 2 countries.

J SmitsNational Institute of Public Health and the Environment, Department for Health Services Research, Netherlands. joroen.smits@nsm.kun.nl
G P Westert
G A M van den Bos
Maastricht School of Management · NLNational Institute for Public Health and the Environment · NLNational Institute of Public Health · LA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine whether characteristics of very small living areas can be used to predict disease incidence and to use these characteristics to assess socioeconomic differences in stroke incidence in the Netherlands.

designCharacteristics of postcode areas of stroke patients are compared with characteristics of postcode areas of all individual people in the study region, using Poisson regression analysis.

settingSix provinces of the Netherlands, covering about half of the country. PATIENTS: 760 patients who in 1991 or 1992 were consecutively admitted because of stroke to 23 Dutch hospitals. MAIN

resultsStroke incidence is significantly higher among people living in postcode areas with below average socioeconomic status (relative risk=1.27; 95% confidence intervals 1.08 to 1.51) and among people living in postcode areas with predominantly older inhabitants (RR=3.17; 95% CI=2.29 to 4.39). It is also significantly increased in more urbanised areas compared with the countryside, the highest incidence being found in the large cities (RR=1.78; 95% CI=1.31 to 2.44).

conclusionsA clear socioeconomic gradient in stroke incidence in the Netherlands is observed, with people living in detailed postcode areas with below average socioeconomic status experiencing a significantly higher risk of stroke. The analysis also confirms that characteristics of detailed postcode areas can effectively be used to differentiate between areas with and areas without stroke patients.

Indexed as

Social ClassAdultAgedAge FactorsHumansIncidenceIncomeMiddle AgedNetherlandsRegression AnalysisRisk FactorsSmall-Area AnalysisStrokeUrban Health

Identifiers

PMID12118058
PMCPMC1732213
OpenAlexW2136047710

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.