Evidence map›Paper›PMID 37792220›Full record

ArticleJournal of neuro-oncology2023

Risk of developing glioblastoma following non-CNS primary cancer: a SEER analysis between 2000 and 2018.

David Y A Dadey, Zachary A Medress, Mayur Sharma, Beatrice Ugiliweneza, Dengzhi Wang, Adrian Rodrigues, Jonathon Parker, Eric Burton, Brian Williams, Summer S Han and 2 more

Abstract read
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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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Glioblastoma Therapy: Past, Present and Future.International journal of molecular sciences · 2024
    Review
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

12 authors at 7 institutions in 1 country.

David Y A Dadey *Department of Neurosurgery, Stanford University, Stanford, CA, 94301, USA. dadeyd@stanford.edu.
Zachary A Medress *Department of Neurosurgery, Stanford University, Stanford, CA, 94301, USA.
Mayur SharmaDepartment of Neurosurgery, University of Minnesota, Minneapolis, MN, 55455, USA.
Beatrice UgiliwenezaDepartment of Neurosurgery, University of Louisville, Louisville, KY, 40202, USA.
Dengzhi WangDepartment of Neurosurgery, University of Louisville, Louisville, KY, 40202, USA.
Adrian RodriguesDepartment of Neurosurgery, Massachusetts General Hospital, Boston, MA, 02114, USA.
Jonathon ParkerDepartment of Neurosurgery, Mayo Clinic, Scottsdale, AZ, 85259, USA.
Eric BurtonNeuro-Oncology Branch, National Cancer Institute, NIH, Bethesda, MD, 20892, USA.
Brian WilliamsDepartment of Neurosurgery, University of Louisville, Louisville, KY, 40202, USA.
Summer S HanDepartment of Neurosurgery, Stanford University, Stanford, CA, 94301, USA.
Maxwell BoakyeDepartment of Neurosurgery, University of Louisville, Louisville, KY, 40202, USA.
Stephen SkirbollDepartment of Neurosurgery, Stanford University, Stanford, CA, 94301, USA.
University of Louisville · USStanford University · USMassachusetts General Hospital · USMayo Clinic in Arizona · USNational Cancer Institute · USPalo Alto Veterans Institute for Research · USUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with a prior malignancy are at elevated risk of developing subsequent primary malignancies (SPMs). However, the risk of developing subsequent primary glioblastoma (SPGBM) in patients with a prior cancer history is poorly understood.

methodsWe used the Surveillance, Epidemiology, and End Results (SEER) database and identified patients diagnosed with non-CNS malignancy between 2000 and 2018. We calculated a modified standardized incidence ratio (M-SIR), defined as the ratio of the incidence of SPGBM among patients with initial non-CNS malignancy to the incidence of GBM in the general population, stratified by sex latency, and initial tumor location.

resultsOf the 5,326,172 patients diagnosed with a primary non-CNS malignancy, 3559 patients developed SPGBM (0.07%). Among patients with SPGBM, 2312 (65.0%) were men, compared to 2,706,933 (50.8%) men in the total primary non-CNS malignancy cohort. The median age at diagnosis of SPGBM was 65 years. The mean latency between a prior non-CNS malignancy and developing a SPGBM was 67.3 months (interquartile range [IQR] 27-100). Overall, patients with a primary non-CNS malignancy had a significantly elevated M-SIR (1.13, 95% CI 1.09-1.16), with a 13% increased incidence of SPGBM when compared to the incidence of developing GBM in the age-matched general population. When stratified by non-CNS tumor location, patients diagnosed with primary melanoma, lymphoma, prostate, breast, renal, or endocrine malignancies had a higher M-SIR (M-SIR ranges: 1.09-2.15). Patients with lung cancers (M-SIR 0.82, 95% CI 0.68-0.99), or stomach cancers (M-SIR 0.47, 95% CI 0.24-0.82) demonstrated a lower M-SIR.

conclusionPatients with a history of prior non-CNS malignancy are at an overall increased risk of developing SPGBM relative to the incidence of developing GBM in the general population. However, the incidence of SPGBM after prior non-CNS malignancy varies by primary tumor location, with some non-CNS malignancies demonstrating either increased or decreased predisposition for SPGBM depending on tumor origin. These findings merit future investigation into whether these relationships represent treatment effects or a previously unknown shared predisposition for glioblastoma and non-CNS malignancy.

Indexed as

GlioblastomaLymphomaNeoplasms, Second PrimaryAgedFemaleHumansIncidenceMaleRisk FactorsSEER ProgramCancerCNSGlioblastomaMalignancySEER

Identifiers

PMID37792220
OpenAlexW4387327074

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.