ArticleJournal of registry management2022
The Central Brain Tumor Registry of the United States Histopathological Grouping Scheme Provides Clinically Relevant Brain and Other Central Nervous System Categories for Cancer Registry Data.
Article in Journal of registry management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed, 4 citations in OpenAlex.
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- CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2018-2022.Neuro-oncology · 2025Article
- CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2017-2021.Neuro-oncology · 2024Article
- Exploring the Potential Role of Phytopharmaceuticals in Alleviating Toxicities of Chemotherapeutic Agents.Current protein & peptide science · 2024Review
- CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2016-2020.Neuro-oncology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Brain and other central nervous system (CNS) tumors are a heterogenous collection of tumors, but they are generally reported in local and national cancer statistics as a single, large category. Although the collection of non-malignant brain and other CNS tumors has been mandated since diagnosis year 2004, these tumors are often excluded from standard statistical reports on cancer despite their burden on populations in the United States and Canada. The Central Brain Tumor Registry of the United States (CBTRUS) historical and current histopathological grouping schemes have been developed in collaboration with neuropathologists to capture the diversity of these tumors in clinically relevant categories. The goal of this analysis was to test a new recode variable based on the CBTRUS histopathology grouping prior to releasing the variable for use in the North American Association of Central Cancer Registries (NAACCR) Cancer in North American (CiNA) data sets and by individual cancer registries. Methods: The CBTRUS histopathology grouping scheme variable was created and implemented in an evaluation CiNA data set. The accuracy of the variable's categories was evaluated. Counts and incidence rates were calculated using SEER*Stat. Results: Overall, 481,650 cases of brain and other CNS tumors meeting the CBTRUS definition were identified for diagnosis years 2015-2019 in the CiNA data set for the US and Canada, making these the sixth-most-common tumor as a group. Of the brain and other CNS tumor cases, approximately 29% were malignant (behavior code /3 in the Conclusion: Brain and other CNS tumors make up an extremely diverse category that contributes substantially to the cancer burden in North America. The CBTRUS histopathology grouping variable provides clinically relevant groupings for analysis of these tumors in the NAACCR CiNA as well as by individual central cancer registry groups. We encourage the use of this variable to support more detailed analysis of this important group of tumors.
Indexed as
Identifiers
37260822PMC10229189W4378953533What OpenQuestion holds
Registered trials
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.