Evidence map›Paper›PMID 29531326›Full record

ArticleBritish journal of cancer2018

Influence of obesity-related risk factors in the aetiology of glioma.

Linden Disney-Hogg, Amit Sud, Philip J Law, Alex J Cornish, Ben Kinnersley, Quinn T Ostrom, Karim Labreche, Jeanette E Eckel-Passow, Georgina N Armstrong, Elizabeth B Claus and 20 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 5 pooled it
1.7field-weighted citation impact, top 17% 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

27 citing papers in PubMed, 5 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  3. Type 2 Diabetes and Cancer: An Umbrella Review of Observational and Mendelian Randomization Studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
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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

30 authors at 18 institutions in 8 countries.

Linden Disney-HoggDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Amit SudDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Philip J LawDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Alex J CornishDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Ben KinnersleyDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Quinn T OstromCase Comprehensive Cancer Center, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA.
Karim LabrecheDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Jeanette E Eckel-PassowDivision of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MI, 55905, USA.
Georgina N ArmstrongSection of Epidemiology and Population Sciences, Department of Medicine, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, 77030, USA.
Elizabeth B ClausSchool of Public Health, Yale University, New Haven, CT, 06510, USA.
Dora Il'yasovaDepartment of Epidemiology and Biostatistics, School of Public Health, Georgia State University, Atlanta, GA, 30303, USA.
Joellen SchildkrautDuke Cancer Institute, Duke University Medical Center, Durham, NC, 27710, USA.
Jill S Barnholtz-SloanDivision of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MI, 55905, USA.
Sara H OlsonDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10017, USA.
Jonine L BernsteinDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10017, USA.
Rose K LaiDepartments of Neurology and Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
Anthony J SwerdlowDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Matthias SimonDepartment of Neurosurgery, University of Bonn Medical Center, Sigmund-Freud-Str. 25, Bonn, 53105, Germany.
Per HoffmannHuman Genomics Research Group, Department of Biomedicine, University of Basel, Basel, 4031, Switzerland.
Markus M NöthenDepartment of Genomics, Life & Brain Center, University of Bonn, Bonn, 53127, Germany.
Karl-Heinz JöckelInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, 45147, Germany.
Stephen ChanockDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892, USA.
Preetha RajaramanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892, USA.
Christoffer JohansenDanish Cancer Society Research Center, Survivorship, Danish Cancer Society, Copenhagen, 2100, Denmark.
Robert B JenkinsDepartment of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MI, 55905, USA.
Beatrice S MelinDepartment of Radiation Sciences, Umeå University, Umeå, 901 87, Sweden.
Margaret R WrenschDepartment of Neurological Surgery, School of Medicine, University of California, San Francisco, CA, 94143, USA.
Marc SansonSorbonne Universités UPMC Univ Paris 06 INSERM CNRS, U1127, UMR 7225, ICM, Paris, 75013, France.
Melissa L BondySection of Epidemiology and Population Sciences, Department of Medicine, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, 77030, USA.
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK. richard.houlston@icr.ac.uk.
Institute of Cancer Research · GBBaylor College of Medicine · USDivision of Cancer Epidemiology and GeneticsLife & Brain (Germany) · DEMayo Clinic · USMemorial Sloan Kettering Cancer Center · USBrigham and Women's Hospital · USCase Western Reserve University · USDanish Cancer Society · DKDuke University · USGeorgia State University · USInstitute of Human Genetics · PLMayo Clinic in Arizona · USPitié-Salpêtrière Hospital · FRUmeå University · SEUniversity of Bonn · DEUniversity of Duisburg-Essen · DEUniversity of Southern California · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Michael M Ittmann · 2007 to 2026
$73.9M
Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Susan M Chang · 2002 to 2026
$57.4M
GENETIC EPIDEMIOLOGY OF MALIGNANT GLIOMAR01CA052689 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K., WRENSCH, MARGARET R. · 1991 to 2015
$20.5M
International Case Control Study of Malignant GliomaR01CA139020 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BONDY, MELISSA L. · 2010 to 2015
$16.0M
Immune epigenetic biomarkers of survival in glioma epidemiologyR01CA207360 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K. · 2017 to 2021
$3.8M
Cancer Research UK A8362NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA125123NCI NIH HHS P50 CA097257NCI NIH HHS R01 CA052689NCI NIH HHS R01 CA139020NCI NIH HHS R01 CA207360Wellcome Trust
6 · The paper itself

Abstract

backgroundObesity and related factors have been implicated as possible aetiological factors for the development of glioma in epidemiological observation studies. We used genetic markers in a Mendelian randomisation framework to examine whether obesity-related traits influence glioma risk. This methodology reduces bias from confounding and is not affected by reverse causation.

methodsGenetic instruments were identified for 10 key obesity-related risk factors, and their association with glioma risk was evaluated using data from a genome-wide association study of 12,488 glioma patients and 18,169 controls. The estimated odds ratio of glioma associated with each of the genetically defined obesity-related traits was used to infer evidence for a causal relationship.

resultsNo convincing association with glioma risk was seen for genetic instruments for body mass index, waist-to-hip ratio, lipids, type-2 diabetes, hyperglycaemia or insulin resistance. Similarly, we found no evidence to support a relationship between obesity-related traits with subtypes of glioma-glioblastoma (GBM) or non-GBM tumours.

conclusionsThis study provides no evidence to implicate obesity-related factors as causes of glioma.

Indexed as

AdultBody Mass IndexCase-Control StudiesDiabetes Mellitus, Type 2FemaleGenetic LinkageGenetic Predisposition to DiseaseGenome-Wide Association StudyGliomaHumansInsulin ResistanceLipid MetabolismMaleMiddle AgedObesityPolymorphism, Single Nucleotide

Identifiers

PMID29531326
PMCPMC5931112
OpenAlexW2792593182

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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.