Evidence map›Paper›PMID 40221791›Full record

ArticleEnvironmental health : a global access science source2025

Spatial distribution of acute myeloid leukaemia in Denmark.

Rikke Hedegaard Jensen, Christian Teglgaard, Lars Hernández Nielsen, Lise Dueholm Bertelsen, Heidi Søgaard Christensen, Martin Bøgsted, Marianne Tang Severinsen

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rikke Hedegaard Jensen *Center for Clinical Data Science, Department of Clinical Medicine, Aalborg University and Research, Education, and Innovation, Aalborg University Hospital, Aalborg, Denmark. hedegaard.jensen@rn.dk.ORCID 0009-0001-1492-092X
Christian Teglgaard *Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark.ORCID 0009-0000-3143-2795
Lars Hernández NielsenCenter for Clinical Data Science, Department of Clinical Medicine, Aalborg University and Research, Education, and Innovation, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0002-3715-8528
Lise Dueholm BertelsenDepartment of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0002-9493-962X
Heidi Søgaard ChristensenCenter for Molecular Prediction in Inflammatory Bowel Disease, Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark.ORCID 0000-0002-2692-168X
Martin BøgstedCenter for Clinical Data Science, Department of Clinical Medicine, Aalborg University and Research, Education, and Innovation, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0001-9192-1814
Marianne Tang SeverinsenDepartment of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0003-0996-1812

Funding

Danmarks Grundforskningsfond DNRF148Health Insurance "danmark" 2022-027Novo Nordisk Fonden NNF21SA0069373
6 · The paper itself

Abstract

backgroundAlthough various occupational and environmental exposures are suspected risk factors for acute myeloid leukaemia (AML), the aetiology of AML is largely unknown. We present an analysis of the spatial distribution of AML in Denmark on an unprecedented, detailed scale. Such investigations have the potential to uncover geographical areas of increased risk, which may in turn be tied to environmental or occupational exposures.

methodsIndividuals diagnosed with AML during 2000-2020 were obtained from the Danish National Acute Leukaemia Registry and assigned to a parish based on their residence six months prior to diagnosis. The incidence rate ratio (IRR) by parish was calculated as the ratio between the age- and sex-standardised incidence rate and the national incidence rate. The IRRs were smoothed using a spatial Poisson distributed generalised linear mixed model with a conditional autoregressive correlation structure. Parishes with a smoothed IRR > 1.10 with a posterior probability > 75% were considered to have an increased risk of AML.

resultsThe study included 5,177 AML cases. The spatial model showed a homogeneous distribution of AML in Denmark with no parishes having an increased risk.

conclusionThe study indicates that the risk of developing AML in Denmark is not affected by place of residence, suggesting that if an unknown environmental or occupational risk factor is present, it does not seem to be associated with specific areas.

Indexed as

Environmental ExposureLeukemia, Myeloid, AcuteAdolescentAdultAgedAged, 80 and overChildDenmarkFemaleHumansIncidenceMaleMiddle AgedRegistriesRisk FactorsSpatial AnalysisAcute myeloid leukemiaDisease hotspotEpidemiologySpatial analysis

Identifiers

PMID40221791
PMCPMC11992828

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LicenceCC BY-NC-ND
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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.