Evidence map›Paper›PMID 29911498›Full record

ArticleScandinavian journal of public health2018

Exploring spatial patterns of cardiovascular disease in Sweden between 2000 and 2010.

Mohammadreza Rajabi, Ali Mansourian, Petter Pilesjö, Daniel Oudin Åström, Klas Cederin, Kristina Sundquist

Abstract read
In one paragraph

Article in Scandinavian 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

11 citing papers in PubMed.

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  8. Spatial Co-Clustering of Cardiovascular Diseases and Select Risk Factors among Adults in South Africa.International journal of environmental research and public health · 2020
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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

6 authors.

Mohammadreza Rajabi1 Lund University GIS Centre, Department of Physical Geography and Ecosystem Science, Lund University, Sweden.ORCID https://orcid.org/0000-0002-1790-4191
Ali Mansourian1 Lund University GIS Centre, Department of Physical Geography and Ecosystem Science, Lund University, Sweden.
Petter Pilesjö1 Lund University GIS Centre, Department of Physical Geography and Ecosystem Science, Lund University, Sweden.
Daniel Oudin Åström2 Center for Primary Health Care Research, Department of Clinical Science, Malmö, Lund University, Sweden.
Klas Cederin2 Center for Primary Health Care Research, Department of Clinical Science, Malmö, Lund University, Sweden.
Kristina Sundquist2 Center for Primary Health Care Research, Department of Clinical Science, Malmö, Lund University, 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

aimsCardiovascular disease (CVD) is one of the leading causes of mortality and morbidity worldwide, including in Sweden. The main aim of this study was to explore the temporal trends and spatial patterns of CVD in Sweden using spatial autocorrelation analyses.

methodsThe CVD admission rates between 2000 and 2010 throughout Sweden were entered as the input disease data for the analytic processes performed for the Swedish capital, Stockholm, and also for the whole of Sweden. Age-adjusted admission rates were calculated using a direct standardisation approach for men and women, and temporal trends analysis were performed on the standardised rates. Global Moran's I was used to explore the structure of patterns and Anselin's local Moran's I, together with Kulldorff's scan statistic were applied to explore the geographical patterns of admission rates.

resultsThe rates followed a spatially clustered pattern in Sweden with differences occurring between sexes. Accordingly, hot spots were identified in northern Sweden, with higher intensity identified for men, together with clusters in central Sweden. Cold spots were identified in the adjacency of the three major Swedish cities of Stockholm, Gothenburg and Malmö.

conclusionsThe findings of this study can serve as a basis for distribution of health-care resources, preventive measures and exploration of aetiological factors.

Indexed as

Spatial AnalysisAdultCardiovascular DiseasesCluster AnalysisFemaleHumansMaleSwedenCardiovascular diseasedisease clustersspatial analysisspatial autocorrelation analysistemporal trends

Identifiers

PMID29911498
PMCPMC6727968

What OpenQuestion holds

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Registered trials

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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.