Evidence map›Paper›PMID 27898660›Full record

ArticleBritish journal of cancer2017

Asthma and risk of myelodysplastic syndromes: a population-based cohort study.

Henrik Frederiksen, Dóra Körmendiné Farkas, Erzsébet Horváth-Puhó, Jan M Nørgaard, Mette Nørgaard, Henrik T Sørensen

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Henrik FrederiksenDepartment of Haematology, Odense University Hospital, Odense, Denmark.
Dóra Körmendiné FarkasDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Erzsébet Horváth-PuhóDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Jan M NørgaardDepartment of Haematology, Aarhus University Hospital, Aarhus, Denmark.
Mette NørgaardDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Henrik T SørensenDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Aarhus University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk factors for the development of myelodysplastic syndromes (MDS) include age, exposure to ionising radiation, and cytotoxic drug treatment. Recently, asthma also has been suggested as a risk factor for MDS.

methodsWe undertook this nationwide population-based cohort study on patients with a first-time hospital-based asthma diagnosis during 2002-2013 and followed them for the development of MDS/chronic myelomonocytic leukaemia (CMML).

resultsWe identified 75 995 patients with incident asthma and no previous MDS/CMML diagnosis. Seventy-eight patients subsequently developed MDS and nine patients developed CMML during 402 892 person-years. The cumulative risks of developing MDS/CMML among asthma patients were 0.02% (95% CI: 0.01-0.04%) and 0.07% (95% CI: 0.05-0.09%) during the first year and the first five years of follow-up, respectively. The standardised incidence ratio of MDS/CMML among asthma patients overall was 1.6 (95% CI: 1.3-2.0) with little variation across subgroups.

conclusionsAsthma may be a risk factor for the development of MDS/CMML.

Indexed as

AdolescentAdultAgedAged, 80 and overAsthmaCohort StudiesFemaleHumansIncidenceLeukemia, Myelomonocytic, ChronicMaleMiddle AgedMyelodysplastic SyndromesRisk FactorsYoung Adult

Identifiers

PMID27898660
PMCPMC5220153
OpenAlexW2559085557

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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.