Evidence map›Paper›PMID 31213444›Full record

ArticleBMJ open2019

Asthma and risk of glioma: a population-based case-control study.

Harsheen Kaur, Daniel H Lachance, Conor S Ryan, Youn Ho Sheen, Hee Yun Seol, Chung-Il Wi, Sunghwan Sohn, Katherine S King, Euijung Ryu, Young Juhn

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Article
  6. Review
  7. Review
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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

10 authors at 5 institutions in 2 countries.

Harsheen KaurPediatric Neurology, University of New Mexico, Albuquerque, New Mexico, USA.
Daniel H LachanceNeurology, Mayo Clinic, Rochester, Minnesota, USA.
Conor S RyanChild and Adolescent Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Youn Ho SheenPediatrics, CHA Gangnam Medical Center, Seoul, Korea.
Hee Yun SeolPediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Chung-Il WiPediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Sunghwan SohnBiomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Katherine S KingBiomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Euijung RyuHealth Science Research, Mayo Clinic, Rochester, Minnesota, USA.
Young JuhnCommunity Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Mayo Clinic · USMayo Clinic in Florida · USWinnMed · USCHA Gangnam Medical Center · KRUniversity of New Mexico · US

Funding

Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Identification and characterization of children with asthma-associated comorbidities through computational and immune phenotypingR01HL126667 · NHLBI · MAYO CLINIC ROCHESTER · PI JUHN, YOUNG J, LIU, HONGFANG · 2015 to 2022
$4.3M
Enhanced Ascertainment of Asthma Status Via Natural Language ProcessingR21AI116839 · NIAID · MAYO CLINIC ROCHESTER · PI JUHN, YOUNG J, WU, STEPHEN TZE-INN · 2015 to 2016
$437k
NHLBI NIH HHS R01 HL126667NIAID NIH HHS R21 AI116839NIA NIH HHS R01 AG034676
6 · The paper itself

Abstract

objectivesLiterature suggests an inconsistent, but largely inverse, association between asthma and risk of glioma, which is primarily due to methodological inconsistency in sampling frame and ascertainment of asthma. The objective of the study was to clarify the association between asthma and risk of glioma by minimising methodological biases (eg, recall and detection bias).

designA population-based case-control study.

settingGeneral population in Olmsted County, Minnesota, USA.

participantsAll eligible biopsy-proven incident glioma cases (1995-2014) and two sets of controls among residents matched to age and sex (first set: community controls without glioma; second set: MRI-negative controls from the same community).

methodsThe predetermined asthma criteria via medical record review were applied to ascertain asthma status of cases and controls. History of asthma prior to index date was compared between glioma cases and their matched controls using conditional logistic regression models. Propensity score for asthma status was adjusted for multivariate analysis.

resultsWe enrolled 135 glioma cases (median age at index date: 53 years) and 270 controls. Of the cases, 21 had a history of asthma (16%), compared with 36 of MRI controls (27%) (OR (95% CI) 0.48 (0.26 to 0.91), p=0.03). With MRI controls, an inverse association between asthma and risk of glioma persisted after adjusting for the propensity score for asthma status, but did not reach statistical significance probably due to the lack of statistical power (OR (95% CI) 0.48 (0.21 to 1.09); p=0.08). Based on comparison of characteristics of controls and cases, community controls seem to be more susceptible to a detection bias.

conclusionsWhile differential detection might account for the association between asthma and risk of glioma, asthma may potentially pose a protective effect on risk of glioma. Our study results need to be replicated by a larger study.

Indexed as

AdultAgedAsthmaCase-Control StudiesComorbidityFemaleGliomaHumansLogistic ModelsMagnetic Resonance ImagingMaleMiddle AgedMinnesotaMultivariate AnalysisRiskallergyasthmaepidemiology

Identifiers

PMID31213444
PMCPMC6589041
OpenAlexW2951896768

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.