Evidence map›Paper›PMID 22010181›Full record

ArticleJournal of the National Cancer Institute2011

Prediagnostic plasma IgE levels and risk of adult glioma in four prospective cohort studies.

Federico C F Calboli, David G Cox, Julie E Buring, J Michael Gaziano, Jing Ma, Meir Stampfer, Walter C Willett, Shelley S Tworoger, David J Hunter, Carlos A Camargo and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 5 pooled it
5.0field-weighted citation impact, top 4% 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

46 citing papers in PubMed, 5 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Polymorphisms in IL-4/IL-13 pathway genes and glioma risk: an updated meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Pooled it
  4. Allergic conditions reduce the risk of glioma: a meta-analysis based on 128,936 subjects.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  5. Association of the interleukin-4Rα rs1801275 and rs1805015 polymorphisms with glioma risk.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  6. Serum immunoglobulin e and risk of pancreatic cancer in the prostate, lung, colorectal, and ovarian cancer screening trial.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
    Trial
  7. Trial
  8. Article
  9. AllergoOncology in Review: Harnessing Allergy in the Field of Oncology to Improve Patient Outcomes.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026
    Review
  10. Review
  11. Association of immunoglobulin E levels with glioma risk and survival.Journal of the National Cancer Institute · 2025
    Article
  12. Article
  13. Association of immunoglobulin E levels with glioma risk and survival.medRxiv : the preprint server for health sciences · 2024
    Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Glioblastoma: Is There Any Blood Biomarker with True Clinical Relevance?International journal of molecular sciences · 2020
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 3 countries.

Federico C F CalboliDepartment of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.
David G Cox
Julie E Buring
J Michael Gaziano
Jing Ma
Meir Stampfer
Walter C Willett
Shelley S Tworoger
David J Hunter
Carlos A Camargo
Dominique S Michaud
Cancer Research And Biostatistics · USHarvard University · USCentre de Recherche en Cancérologie de Lyon · FRImperial College London · GBInserm · FRMassachusetts General Hospital · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1991 to 2009
$41.8M
Women's Health Study: Continued Follow-upR01CA047988 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., LEE, I-MIN · 1991 to 2014
$28.2M
Physicians' Health Study II: Prevention Trial of VitaminsR01CA097193 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI GAZIANO, J. MICHAEL · 2002 to 2011
$15.7M
Allergies, Genetic Susceptibility and Adult Glioma RiskR01CA114205 · NCI · IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE · PI MICHAUD, DOMINIQUE S. · 2006 to 2011
$2.0M
TRIAL OF VITAMIN E, BETA-CAROTENE &ASPRIN IN WOMENR01HL043851 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E · 1991 to 2000
$1.6M
NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NCI NIH HHS P01 CA097193NCI NIH HHS R01 CA047988NCI NIH HHS R01 CA097193NCI NIH HHS R01 CA114205NHLBI NIH HHS R01 HL043851
6 · The paper itself

Abstract

backgroundIncreased levels of serum immunoglobulin E (IgE) because of allergies have been inversely associated with risk of glioma in observational studies. Despite consistency across studies examining history of allergies and glioma, questions remain as to whether those are causal associations. An inverse association between serum IgE and risk of glioma was reported in a large case-control study, but reverse causality and treatment effects remain potential explanations for those findings.

methodsWe combined data from four prospective cohort studies and used a nested case-control design to examine the association between allergy and glioma. We included glioma case subjects who were confirmed from medical or pathology records or from death certificates, and with prediagnostic blood available. We matched three control subjects per case subject, and the final numbers for analyses were 169 case subjects and 520 control subjects. Total IgE, food allergen-specific IgE, and respiratory allergen-specific IgE levels were measured using a highly sensitive fluorescent assay. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using conditional logistic regression analysis. Stratified analyses were conducted by age and birth cohorts.

resultsBorderline elevated total IgE levels (25-100 kU/L) showed a statistically significant inverse association with glioma (OR = 0.63, 95% CI = 0.42 to 0.93), but no association was noted between elevated IgE (>100 kU/L) and glioma (OR = 0.98, 95% CI = 0.61 to 1.56) compared with clinically normal IgE levels (<25 kU/L). The association between glioma and total IgE was consistent for both men and women. Non-statistically significant inverse associations were noted for elevated IgE levels among individuals born before year 1930 (OR = 0.67, 95% CI = 0.34 to 1.34) and when restricting analyses to highly fatal (deceased within 2 years of diagnosis) glioma case subjects (OR = 0.64, 95% CI = 0.34 to 1.19) compared with individuals with clinically normal IgE levels. No associations were observed for either food allergen-specific or respiratory allergen-specific IgE levels.

conclusionsOverall, our prospective findings are consistent with recent retrospective studies and support an association between total IgE levels and glioma. However, this association requires further elucidation.

Indexed as

AdultAgedAllergensAsthmaBrain NeoplasmsCase-Control StudiesCohort StudiesFemaleGliomaHumansHypersensitivityImmunoglobulin ELogistic ModelsMaleMiddle AgedOdds RatioAllergensImmunoglobulin E

Identifiers

PMID22010181
PMCPMC3206038
OpenAlexW2098651119

What OpenQuestion holds

Textmetadata
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.