Evidence map›Paper›PMID 40862818›Full record

ArticleCurrent oncology (Toronto, Ont.)2025

Incidence of Venous Thromboembolism in Newly Diagnosed Glioblastoma and Associated Risk Factors: A Retrospective Chart Review.

Duaa Binjabal, Nasser Al Majarafi, Gregory R Pond, Hal Hirte

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Duaa BinjabalDepartment of Oncology, International Medical Centre, Jeddah 23214, Saudi Arabia.
Nasser Al MajarafiDepartment of Medical Oncology, Juravinski Cancer Centre, Hamilton, ON L8V 5C2, Canada.
Gregory R PondDepartment of Oncology, Faculty of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada.ORCID 0000-0003-1033-0882
Hal HirteDepartment of Oncology, Faculty of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada.ORCID 0000-0003-2888-4146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This was a single-centre retrospective cohort study of patients diagnosed with glioblastoma (GB) at the Juravinski Cancer Centre (JCC). The charts of 528 patients diagnosed with GB at the JCC from an 8-year period from 1 January 2013, to 31 December 2020, were reviewed. The primary objective was to assess the incidence of venous thromboembolism (VTE) in newly diagnosed GB. The secondary objective was to identify patients at higher risk of developing VTE to understand who might benefit from prophylactic anticoagulation. Data on the following factors were collected: date of diagnosis, time to death or last follow-up, location and size of tumour, degree of resection, presence and location of weakness, performance status, body mass index, comorbidities (hypertension, diabetes, dyslipidemia, smoking history), baseline blood counts, and treatments administered. A total of 111 of the 528 patients (21%) were diagnosed with VTE. Most VTE (87%) occurred within 12 months of diagnosis. A previous cancer diagnosis and recurrence or disease progression were the only factors identified as predictive of a higher risk for developing thrombosis. Newly diagnosed patients with GB have been shown to have a significant risk of developing VTE. Consideration should be given for prophylactic anticoagulation at the time of diagnosis.

Indexed as

Brain NeoplasmsGlioblastomaVenous ThromboembolismAdultAgedAged, 80 and overFemaleHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk Factorsglioblastomaneuro-oncologyvenous thromboembolism

Identifiers

PMID40862818
PMCPMC12384601

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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.