Evidence map›Paper›PMID 30464604›Full record

ArticleCancer management and research2018

NSAID consumption and risk of acute myeloid leukemia: a national population-based case-control study.

Lene Sofie Granfeldt Østgård, Mette Nørgaard, Lars Pedersen, René Østgård, Lone Smidstrup Friis, Claudia Schöllkopf, Marianne Tang Severinsen, Claus Werenberg Marcher, Bruno C Medeiros, Morten Krogh Jensen

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In one paragraph

Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 8 institutions in 2 countries.

Lene Sofie Granfeldt ØstgårdDepartment of Hematology, Aarhus University Hospital, Aarhus, Denmark, lenoestg@rm.dk.
Mette NørgaardDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark, lenoestg@rm.dk.
Lars PedersenDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark, lenoestg@rm.dk.
René ØstgårdDiagnostic Center, Silkeborg Regional Hospital, Silkeborg, Denmark.
Lone Smidstrup FriisDepartment of Hematology, The University Hospital Rigshospitalet, Copenhagen, Denmark.
Claudia SchöllkopfDepartment of Hematology, Herlev University Hospital, Herlev, Denmark.
Marianne Tang SeverinsenDepartment of Hematology, Aalborg University Hospital, Aalborg, Denmark.
Claus Werenberg MarcherDepartment of Hematology, Odense University Hospital, Odense, Denmark.
Bruno C MedeirosStanford University, School of Medicine, Stanford, CA, USA.
Morten Krogh JensenDepartment of Hematology, Roskilde University Hospital, Roskilde, Denmark.
Aarhus University Hospital · DKAalborg University Hospital · DKHerlev Hospital · DKOdense University Hospital · DKRegionshospitalet Silkeborg · DKRigshospitalet · DKRoskilde University · DKStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost cases of acute leukemia arise without identifiable risk factors. Studies investigating the impact of autoimmune diseases and infections on leukemogenesis have revealed conflicting results. If inflammation increases the risk of acute myeloid leukemia (AML), nonsteroidal anti-inflammatory drug (NSAID) use may decrease the risk of leukemia.

methodsWe conducted a case-control study of 3,053 patients with AML diagnosed between 2000 and 2013, who were registered in the Danish National Acute Leukemia Registry, and 30,530 population controls matched on sex and age. We identified prescriptions through the Danish National Health Service Prescription Database. We used conditional logistic regression analysis to compute ORs associating AML with NSAID use overall, in patients with inflammatory diseases, and for specific AML subtypes (de novo AML, AML related to previous hematological disease, ie, secondary AML [sAML], or therapy-related AML [tAML; exposed to previous cytotoxic therapy]).

resultsOverall, NSAID use was not associated with a lower risk of AML (OR 1.1, 95% CI=1.0-1.2), de novo AML (OR 1.0, 95% CI=0.9-1.1), and sAML/tAML (OR 1.3, 95% CI=1.1-1.5). In addition, in patients with known inflammatory diseases, NSAIDs did not affect AML risk (OR 0.9, 95% CI=0.5-1.6). Number of prescriptions, type of NSAID, age, or sex did not influence the results.

conclusionIn line with our recent findings that showed no association between autoimmune diseases and infections and de novo AML, NSAID use was not found to reduce the risk of AML.

Indexed as

acute myeloid leukemiainflammationNSAIDspopulation-basedpopulation controlsrisk

Identifiers

PMID30464604
PMCPMC6214335
OpenAlexW2898391313

What OpenQuestion holds

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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.