Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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.
Linda KachuriDepartment of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA. lkachuri@stanford.edu.ORCID http://orcid.org/0000-0002-3226-4727
Geno A GuerraDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Jeanette E Eckel-PassowDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Robert B JenkinsDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Margaret WrenschDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Stephen S FrancisDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA. stephen.francis@ucsf.edu.
Funding
Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
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 Joseph F Costello · 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 Program in Translational Brain Tumor ResearchT32CA151022 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2010 to 2026
$6.6M
Training in Molecular& Genetic Epidemiology of CancerR25CA112355 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2005 to 2018
$6.5M
Integrated Exchange and Storage of Current- and Future-Generation Immunogenomic DataR01AI128775 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JILL Allison HOLLENBACH, STEVEN JOHN MACK · 2017 to 2026
$4.5M
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
Discovering Infection-mediated Pathways of Glioma Etiology and Prognosis by Leveraging Multiplex Serology and ImmunogenomicsR01CA266676 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FRANCIS, STEPHEN STARKO · 2022 to 2025
$2.6M
Biomarkers of survival in glioma epidemiologyR01CA126831 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K. · 2008 to 2013
$2.5M
NCCDPHP CDC HHS NU58DP006344NCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032INCI NIH HHS P30 CA015083NCI NIH HHS P50 CA097257NCI NIH HHS P50 CA108961NCI NIH HHS R00 CA246076NCI NIH HHS R01 CA052689NCI NIH HHS R01 CA126831NCI NIH HHS R01 CA139020NCI NIH HHS R01 CA230712NCI NIH HHS R01 CA266676NCI NIH HHS R25 CA112355NCI NIH HHS T32 CA151022NCRR NIH HHS UL1 RR024131NIAID NIH HHS R01 AI128775U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) CA266676U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R00CA246076
6 · The paper itself
Abstract
Glioma is a highly fatal and heterogeneous brain tumor with few known risk factors. Our study examines genetically predicted variability in blood cell indices in relation to glioma risk and survival in 3418 cases and 8156 controls. We find that increased platelet to lymphocyte ratio (PLR) confers an increased risk of glioma (odds ratio (OR) = 1.25, p = 0.005), especially tumors with isocitrate dehydrogenase (IDH) mutations (OR = 1.38, p = 0.007) and IDH
Indexed as
Brain NeoplasmsGenetic Predisposition to DiseaseGliomaHomeostasisAdultAgedBlood PlateletsCase-Control StudiesFemaleHumansIsocitrate DehydrogenaseLymphocytesMaleMiddle AgedMutationNeutrophilsIsocitrate Dehydrogenase
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.
Genetic predisposition to altered blood cell homeostasis is associated with glioma risk and survival. · full record | OpenQuestion