Article in JCO clinical cancer informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
National Cancer Institute · USChildren's Hospital of Philadelphia · USUniversity of Southern California · USSt. Jude Children's Research Hospital · USCenter for Drug Evaluation and Research · USCincinnati Children's Hospital Medical Center · USCity of Hope · USDuke University · USHospital for Sick Children · CAKaiser Permanente · USKaiser Permanente Washington Health Research Institute · USMassachusetts General Hospital · USSeven Bridges Genomics (United States) · USStanford Health Care · USUniversity of California, Santa Cruz · USUniversity of Chicago · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Kentucky · USUniversity of Minnesota · USUniversity of Utah · US
Funding
NCTN BIQSFP ANBL1531 (NRT)U10CA180886 · NCI · PUBLIC HEALTH INSTITUTE · PI Douglas S. Hawkins · 2014 to 2026
$390.6M
COG SDMC - Statistics CoreU10CA180899 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TODD A ALONZO · 2014 to 2026
$132.8M
MyPART: My Pediatric and Adult Rare Tumor Network - CuresZIABC011852 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WIDEMANN, BRIGITTE · 2020 to 2025
$39.2M
University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Bernard Mark Evers · 2013 to 2026
$38.3M
U2C Kids First Admin Supplement - data transferU2CHL138346 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI RESNICK, ADAM CAIN · 2017 to 2022
$21.5M
Molecular, Cellular and Genetic Analyses of Malignancies Associated with NF1ZIABC011754 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI REILLY, KARLYNE M · 2017 to 2025
$6.4M
The cBioPortal for Cancer GenomicsU24CA220457 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CERAMI, ETHAN, SANDER, CHRIS · 2017 to 2021
$6.4M
Late Effects Prediction using Clinical Phenotypes and Whole Genome SequencingR01CA216354 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI YASUI, YUTAKA, ZHANG, JINGHUI · 2017 to 2021
$3.4M
Molecular Epidemiology of Pediatric Germ Cell TumorsR01CA151284 · NCI · UNIVERSITY OF MINNESOTA · PI POYNTER, JENNY N. · 2011 to 2015
$3.4M
Discovery of Somatic Noncoding Variants that Serve as Drivers in Pediatric CancersR01CA216391 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI ZHANG, JINGHUI · 2018 to 2022
$2.8M
National trends in end of life care for adolescent and young adult cancer patientsR21CA205309 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI WERNLI, KAREN J · 2016 to 2017
Cancer Informatics for Cancer Centers (CI4CC) is a grassroots, nonprofit 501c3 organization intended to provide a focused national forum for engagement of senior cancer informatics leaders, primarily aimed at academic cancer centers anywhere in the world but with a special emphasis on the 70 National Cancer Institute-funded cancer centers. This consortium has regularly held topic-focused biannual face-to-face symposiums. These meetings are a place to review cancer informatics and data science priorities and initiatives, providing a forum for discussion of the strategic and pragmatic issues that we faced at our respective institutions and cancer centers. Here, we provide meeting highlights from the latest CI4CC Symposium, which was delayed from its original April 2020 schedule because of the COVID-19 pandemic and held virtually over three days (September 24, October 1, and October 8) in the fall of 2020. In addition to the content presented, we found that holding this event virtually once a week for 6 hours was a great way to keep the kind of deep engagement that a face-to-face meeting engenders. This is the second such publication of CI4CC Symposium highlights, the first covering the meeting that took place in Napa, California, from October 14-16, 2019. We conclude with some thoughts about using data science to learn from every child with cancer, focusing on emerging activities of the National Cancer Institute's Childhood Cancer Data Initiative.
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.
Cancer Informatics for Cancer Centers: Scientific Drivers for Informatics, Data Science, and Care in Pediatric, Adolescent, and Young Adult Cancer. · full record | OpenQuestion