Article in Science advances, 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.
Edwin Nieblas-BedollaDepartment of Neurosurgery, Michigan Medicine, Ann Arbor, MI 48109, USA.ORCID 0000-0001-5879-1800
Joshua D JacksonDepartment of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA.
Ariel T GonzalezDepartment of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA.ORCID 0009-0008-0540-4262
Ellery H ReasonDepartment of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA.ORCID 0009-0004-0922-4446
Ann Marie FluscheDepartment of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA.ORCID 0009-0008-9037-4239
Sheantel ReihlDepartment of Neurosurgery, University of California, Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0002-5756-6801
Tara DaltonDepartment of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA.ORCID 0000-0003-4796-6948
Mikias NegussieDepartment of Neurosurgery, University of California, San Francisco, San Francisco, CA 94143, USA.
Cesar Nava GonzalesDepartment of Neurosurgery, University of California, San Francisco, San Francisco, CA 94143, USA.
Vardhaan S AmbatiDepartment of Neurosurgery, University of California, San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0003-0074-9217
Annick DesjardinsPreston Robert Tisch Brain Tumor Center, Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA.ORCID 0000-0003-3869-8283
Andy G S DanielDepartment of Neurosurgery, University of California, San Francisco, San Francisco, CA 94143, USA.
Saritha KrishnaDepartment of Neurosurgery, University of California, San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0001-6605-4763
Susan ChangDivision of Neuro-Oncology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0009-0001-2084-3959
Alyx PorterDivision of Neuro-Oncology, Department of Neurology, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0003-0666-1320
Peter E FecciPreston Robert Tisch Brain Tumor Center, Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA.
Todd HollonMachine Learning in Neurosurgery Laboratory, Department of Neurosurgery, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-5987-6531
Ugonma N ChukwuekeCenter for Neuro-Oncology, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA.ORCID 0000-0003-0598-9535
Kimberly BadalDepartment of Surgery, Helen Diller Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0001-7776-0831
Annette M MolinaroDepartment of Neurosurgery, University of California, San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-9854-7404
Shawn L Hervey-JumperDepartment of Neurosurgery, University of California, San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0003-4699-260X
Funding
Cortical information loss in diffuse low-grade glioma infiltrated cortexR01NS137950 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Shawn L. Hervey-Jumper · 2024 to 2026
$1.2M
NINDS NIH HHS R01 NS137950
6 · The paper itself
Abstract
Therapeutic clinical trial enrollment does not match glioma incidence across demographics. Traditional statistical methods have identified independent predictors of trial enrollment; however, our understanding of the interactions between these factors remains limited. To test the interactive effects of demographic, socioeconomic, and oncologic variables on trial enrollment, we designed boosted neural networks (BNNs) for all glioma patients (
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.
Predicting therapeutic clinical trial enrollment for adult patients with low- and high-grade glioma using supervised machine learning. · full record | OpenQuestion