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.
Christopher S SemancikDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Tufts University, Boston, Massachusetts.ORCID 0000-0002-9915-9091
Naisi ZhaoDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Tufts University, Boston, Massachusetts.ORCID 0000-0002-0517-0709
Devin C KoestlerThe University of Kansas Cancer Center, Kansas City, Kansas.ORCID 0000-0002-0598-0146
Eric BoerwinkleHuman Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas.ORCID 0000-0001-8813-0544
Jan BresslerHuman Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas.ORCID 0000-0001-6578-4772
Rachel J BuchsbaumDivision of Hematology and Oncology, Tufts Medical Center, Boston, Massachusetts.ORCID 0000-0003-2502-9240
Karl T KelseyDepartment of Epidemiology, Brown University, Providence, Rhode Island.ORCID 0000-0002-2302-1600
Elizabeth A PlatzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0003-3676-8954
Dominique S MichaudDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Tufts University, Boston, Massachusetts.ORCID 0000-0002-8107-3011
Funding
Building on GWAS for NHLBI-disease: the CHARGE consortiumRC2HL102419 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2009 to 2010
$27.6M
Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ANDREW K. GODWIN, Steven Allan Soper · 2019 to 2026
$21.5M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2022 to 2025
$5.1M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE E · 2022 to 2025
$5.0M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2022 to 2025
$4.8M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2022 to 2025
$4.7M
Enhancing ARIC Infrastructure to Yield a New Cancer Epidemiology CohortU01CA164975 · NCI · JOHNS HOPKINS UNIVERSITY · PI PLATZ, ELIZABETH A. · 2012 to 2018
$3.8M
An Integrated Genetic and Epigenetic Approach to Cerebral Small Vessel DiseaseR01NS087541 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A., FORNAGE, MYRIAM · 2014 to 2017
significanceThis study describes associations between immune cell types and cancer risk in a Black population; elevated regulatory T-cell proportions that were associated with increased overall cancer and lung cancer risk, and elevated memory B-cell proportions that were associated with increased prostate and all cancer risk.
Indexed as
Black or African AmericanDNA MethylationNeoplasmsAdultAgedB-LymphocytesFemaleHumansLung NeoplasmsMaleMiddle AgedRisk FactorsT-Lymphocytes, Regulatory
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.
DNA Methylation-Derived Immune Cell Proportions and Cancer Risk in Black Participants. · full record | OpenQuestion