Evidence map›Paper›PMID 27418206›Full record

ArticleJournal of neuro-oncology2016

Completeness of required site-specific factors for brain and CNS tumors in the Surveillance, Epidemiology and End Results (SEER) 18 database (2004-2012, varying).

Quinn T Ostrom, Haley Gittleman, Carol Kruchko, David N Louis, Daniel J Brat, Mark R Gilbert, Valentina I Petkov, Jill S Barnholtz-Sloan

Abstract read
In one paragraph

Article in Journal of neuro-oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Article
  2. Epidemiological profile of adult primary brain tumors.Surgical neurology international · 2025
    Article
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Article
  9. Review
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  16. Article
  17. Imaging of intranasal drug delivery to the brain.American journal of nuclear medicine and molecular imaging · 2020
    Review
  18. Article
  19. Article
  20. 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

8 authors.

Quinn T OstromCase Comprehensive Cancer Center, Case Western Reserve University School of Medicine, 11100 Euclid Avenue, Wearn 152, Cleveland, OH, 44106, USA.
Haley GittlemanCase Comprehensive Cancer Center, Case Western Reserve University School of Medicine, 11100 Euclid Avenue, Wearn 152, Cleveland, OH, 44106, USA.
Carol KruchkoCentral Brain Tumor Registry of the United States (CBTRUS), Hinsdale, IL, USA.
David N LouisDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Daniel J BratDepartment of Pathology and Laboratory Medicine, Winship Cancer Institute of Emory University, Atlanta, GA, USA.
Mark R GilbertNeuro-Oncology Branch, National Institutes of Health, Bethesda, MD, USA.
Valentina I PetkovSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.
Jill S Barnholtz-SloanCase Comprehensive Cancer Center, Case Western Reserve University School of Medicine, 11100 Euclid Avenue, Wearn 152, Cleveland, OH, 44106, USA. jsb42@case.edu.

Funding

TUMOR METABOLISM PROGRAMP30CA043703 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI MARK R CHANCE · 1987 to 2026
$142.3M
INTEGRATION OF BEST PRACTICES FOR COLLECTION AND REPORTING OF PRIMARY MALIGNANT AU58DP003831 · DP · CENTRAL BRAIN TUMOR REGISTRY OF THE U S · PI KRUCHKO, CAROL · 2011 to 2014
$499k
NCCDPHP CDC HHS U58 DP003831NCI NIH HHS P30 CA043703
6 · The paper itself

Abstract

Cancer registries are an important source of population-level information on brain tumor incidence and survival. Surveillance, Epidemiology, and End Results (SEER) registries currently collect data on specific required factors related to brain tumors as defined by the American Joint Commission on Cancer, including World Health Organization (WHO) grade, MGMT methylation and 1p/19q codeletion status. We assessed 'completeness', defined as having valid values over the time periods that they have been collected, overall, by year, histology, and registry. Data were obtained through a SEER custom data request for four factors related to brain tumors for the years 2004-2012 (3/4 factors were collected only from 2010 to 2012). SEER*Stat was used to generate frequencies of 'completeness' for each factor overall, and by year, histology and registry. The four factors varied in completeness, but increased over time. WHO grade has been collected the longest, and showed significant increases in completeness. Completeness of MGMT and 1p/19q codeletion was highest for glioma subtypes for which testing is recommended by clinical practice guidelines. Completeness of all factors varied by histology and cancer registry. Overall, several of the factors had high completeness, and all increased in completeness over time. With increasing focus on 'precision medicine' and the incorporation of molecular parameters into the 2016 WHO CNS tumor classification, it is critical that the data are complete, and factors collected at the population level are fully integrated into cancer reporting. It is critical that cancer registries continue to collect established and emerging prognostic and predictive factors.

Indexed as

Central Nervous System NeoplasmsChromosome DeletionChromosomes, Human, Pair 1Chromosomes, Human, Pair 19Databases, FactualDNA MethylationDNA Modification MethylasesDNA Repair EnzymesFemaleHumansIncidenceMalePrognosisPublic Health SurveillanceRegistriesRetrospective StudiesDNA Modification MethylasesDNA Repair EnzymesMGMT protein, humanTumor Suppressor Proteins1p/19q codeletionBrain tumorsCancer registrationMGMT methylationWHO grade

Identifiers

PMID27418206
PMCPMC5071143

What OpenQuestion holds

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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.