Evidence map›Paper›PMID 35859542›Full record

ArticleNeuro-oncology practice2022

Aligning the Central Brain Tumor Registry of the United States (CBTRUS) histology groupings with current definitions.

Kristin A Waite, Gino Cioffi, Carol Kruchko, Nirav Patil, Daniel J Brat, Janet M Bruner, Roger E McLendon, Tarik Tihan, Quinn T Ostrom, Jill S Barnholtz-Sloan

Open access · greenAbstract read
In one paragraph

Article in Neuro-oncology practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-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

14 citing papers in PubMed, 16 citations in OpenAlex.

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  12. A Telerobotic System for Transnasal Surgery.IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division · 2013
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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

10 authors at 7 institutions in 1 country.

Kristin A WaiteDivision of Cancer Epidemiology and Genetics, Trans-Divisional Research Program, National Cancer Institute, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0002-3186-8510
Gino CioffiDivision of Cancer Epidemiology and Genetics, Trans-Divisional Research Program, National Cancer Institute, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0002-3296-8652
Carol KruchkoCentral Brain Tumor Registry of the United States (CBTRUS), Hinsdale, Illinois, USA.ORCID https://orcid.org/0000-0001-7212-035X
Nirav PatilUniversity Hospitals, Cleveland, Ohio.ORCID https://orcid.org/0000-0001-8593-423X
Daniel J BratDepartment of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Janet M BrunerDepartment of Pathology, MD Anderson Cancer Center, Houston, Texas, USA.
Roger E McLendonDepartment of Pathology, Duke University Medical Center Durham , North Carolina, USA.
Tarik TihanDepartment of Pathology, Division of Neuropathology, University of California San Francisco, San Francisco, California, USA.
Quinn T OstromThe Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, North Carolina, USA.
Jill S Barnholtz-SloanDivision of Cancer Epidemiology and Genetics, Trans-Divisional Research Program, National Cancer Institute, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-6190-9304
National Cancer Institute · USDuke University · USCentral Brain Tumor Registry of the United States · USNorthwestern University · USThe University of Texas MD Anderson Cancer Center · USUniversity Hospitals of Cleveland · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Central Brain Tumor Registry of the United States (CBTRUS) uses a histology grouping model based on the World Health Organization (WHO) classifications to group records for clinically relevant statistical reporting. Newly identified genetic markers more accurately stratify patients than histology alone and were incorporated into the 2016 update to the WHO Classification. Methods: CBTRUS and consulting neuropathologists reviewed and aligned histology groupings with the 2016 WHO update. "Obsolete" (terms not currently in use) histology nomenclature along with their International Classification of Disease, Oncology 3rd edition (ICD-O-3) codes were identified, some histologies were reclassified to 2016 WHO, and new codes found in 2016 WHO were incorporated. An evaluation of the frequency of histology codes affected in the realignment process, and incidence and survival pre- and post-realignment was conducted. Results: After review, 67 codes were noted as obsolete, 51 codes were reclassified, and 12 new codes were incorporated. Histology groups most affected were mesenchymal tumors and neuronal/mixed neuronal-glial tumors. Reorganization resulted in 2588 (0.65%) cases with grouping reassignment or reporting change, indicating that the 2016 WHO Classification revision has impacted the collection and reporting of primary brain and other CNS tumors. Conclusion: This work demonstrates the need to be responsive to changes in classification and coding in order to ensure the most up-to-date and accurate statistics for brain and CNS tumors. This will require collaboration from all stakeholders within the brain tumor community, so to have the ability to reconcile clinical practices and surveillance requirements.

Indexed as

brain tumorsCBTRUSepidemiologyhistology

Identifiers

PMID35859542
PMCPMC9290890
OpenAlexW4220664643

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.