Evidence map›Paper›PMID 37980692›Full record

ArticleJournal of neuro-oncology2023

Capturing evolving definitions of 12 select rare CNS tumors: a timely report from CBTRUS and NCI-CONNECT.

Mackenzie Price, Corey Neff, Carol Kruchko, Jill S Barnholtz-Sloan, Brittany B Cordeiro, Marta Penas-Prado, Byram H Ozer, Patrick J Cimino, Mark R Gilbert, Terri S Armstrong and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neuro-oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. EndothelialThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

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

11 authors at 5 institutions in 2 countries.

Mackenzie PriceCentral Brain Tumor Registry of the United States (CBTRUS), Hinsdale, IL, USA.
Corey NeffCentral Brain Tumor Registry of the United States (CBTRUS), Hinsdale, IL, USA.
Carol KruchkoCentral Brain Tumor Registry of the United States (CBTRUS), Hinsdale, IL, USA.
Jill S Barnholtz-SloanCentral Brain Tumor Registry of the United States (CBTRUS), Hinsdale, IL, USA.
Brittany B CordeiroNeuro-Oncology Branch, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA.
Marta Penas-PradoNeuro-Oncology Branch, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA.
Byram H OzerNeuro-Oncology Branch, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA.
Patrick J CiminoNIH National Institute of Neurological Disorders and Stroke, Surgical Neurology Branch, Neuropathology Unit, Bethesda, MD, USA.
Mark R GilbertNeuro-Oncology Branch, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA.
Terri S Armstrong *Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA. Terri.Armstrong@nih.gov.
Quinn T Ostrom *Central Brain Tumor Registry of the United States (CBTRUS), Hinsdale, IL, USA. Quinn.Ostrom@duke.edu.
Center for Cancer Research · USCentral Brain Tumor Registry of the United States · USDuke University · USNational Institute of Neurological Disorders and Stroke · USNational Institutes of Health · US

Funding

CDC HHS Contract No.75D30119C06056/Amendment 0003NIH HHS Contract No.75N91022P00827
6 · The paper itself

Abstract

purposeIncidence, prevalence, and survival are population-based statistics describing cancer burden. The National Cancer Institute's (NCI) Comprehensive Oncology Network Evaluating Rare CNS Tumors (NCI-CONNECT) specializes in tumor biology and outcomes for 12 rare CNS tumor types selected for their importance in adults, research interest, or potential for targeted treatment. The aim of this study was to update incidence, prevalence, and survival statistics for these tumors.

methodsThe Central Brain Tumor Registry of the United States (CBTRUS) database, a combined dataset of Centers for Disease Control and Prevention's (CDC) National Program of Cancer Registries (NPCR) and NCI's Surveillance, Epidemiology and End Results (SEER) data, was used to calculate average annual age-adjusted incidence rates (AAAIR) per 100,000 population overall and by sex, race-ethnicity, and age for diagnosis years 2008-2019. Incidence time trends were calculated for diagnosis years 2004-2019. NPCR data were used to calculate relative survival rates. Point prevalence on December 31, 2019 was estimated using annual age-specific incidence and survival.

resultsAAAIR was 1.47 per 100,000 for these tumors combined, with highest incidence in ependymomas (AAAIR = 0.41/100,000). Most tumor types were more common in males, adults (ages 40 + years) or children (ages < 15 years), and non-Hispanic White individuals. Ependymomas were the most prevalent tumor type (19,320 cases) followed by oligodendrogliomas (14,900 cases). Ependymomas had the highest five-year survival (90.6%) and primary CNS sarcomas the lowest (7.7%).

conclusionsThese data provide means to measure the impact of clinical care and evaluate new therapies and the evolving histopathology definitions in rare CNS tumor types.

Indexed as

Brain NeoplasmsCentral Nervous System NeoplasmsEpendymomaAdultChildHumansIncidenceMaleRegistriesSEER ProgramUnited StatesCNS tumorsIncidencePrevalenceRare tumorsSurvival

Identifiers

PMID37980692
OpenAlexW4388809777

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.