Article in Cancer research communications, 2024. 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
–field-weighted citation impact
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.
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
21 authors.
Karen AlpenCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.ORCID 0000-0001-8283-2422
Robert J MaclnnisCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.ORCID 0000-0002-1627-5047
John LaiCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.ORCID 0000-0002-8019-7012
James G DowtyCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.ORCID 0000-0003-2383-0886
Eng-Siew KohSouth Western Sydney Clinical School, Faculty of Medicine, University of New South Wales, Liverpool, Australia.ORCID 0000-0002-1664-2513
Elizabeth HoveyNelune Comprehensive Cancer Centre, Prince of Wales Hospital, Sydney, Australia.ORCID 0000-0002-9973-9360
Tuong L NguyenCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.ORCID 0000-0002-6597-8363
Shuai LiCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.ORCID 0000-0002-8696-8594
David JosephDepartment of Medicine and Surgery, The University of Western Australia, Perth, Australia.ORCID 0000-0003-3949-4514
Geza BenkeSchool of Public Health and Preventative Medicine, Monash University, Clayton, Australia.ORCID 0000-0001-9019-9364
Pierre-Antoine DuguéCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.ORCID 0000-0003-2736-3023
Melissa C SoutheyCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.ORCID 0000-0002-6313-9005
Graham G GilesCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.ORCID 0000-0003-4946-9099
Anna K NowakMedical School, University of Western Australia, Crawley, Australia.ORCID 0000-0002-9317-9526
Katharine J DrummondDepartment of Neurosurgery, Royal Melbourne Hospital, Parkville, Australia.ORCID 0000-0002-8152-2120
Daniel F SchmidtCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.ORCID 0000-0002-1788-2375
John L HopperCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.ORCID 0000-0002-8567-173X
Miroslaw K KapuscinskiCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.ORCID 0000-0002-4561-2719
Enes MakalicCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.ORCID 0000-0003-3017-0871
Funding
UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Susan M Chang · 2002 to 2026
$57.4M
Targeted MV-CEA as a Potent Antitumor Agent against GBMP50CA108961 · NCI · MAYO CLINIC ROCHESTER · PI O'NEILL, BRIAN PATRICK · 2004 to 2015
$22.5M
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
Training in Molecular& Genetic Epidemiology of CancerR25CA112355 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2005 to 2018
$6.5M
UNDERSTANDING THE INTERACTIONS BETWEEN GERMLINE AND SOMATIC ALTERATIONS in the PATHOGENESIS OF GLIOMASR01CA230712 · NCI · MAYO CLINIC ROCHESTER · PI JENKINS, ROBERT B. · 2018 to 2022
$3.3M
Biomarkers of survival in glioma epidemiologyR01CA126831 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K. · 2008 to 2013
significanceFurther investigation of the potential susceptibility regions identified in our study may lead to a better understanding of glioma genetic risk and the underlying biological etiology of glioma. Our study suggests sex may play a role in genetic susceptibility and highlights the importance of sex-specific analysis in future glioma research.
Indexed as
Genetic Predisposition to DiseaseGenome-Wide Association StudyGliomaBrain NeoplasmsFemaleHumansMalePolymorphism, Single Nucleotide
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.
Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma. · full record | OpenQuestion