Evidence map›Paper›PMID 26547860›Full record

ArticlePathology oncology research : POR2016

Predictors of Venous Thromboembolism in Patients with Glioblastoma.

Shahzaib Nabi, Pushpinderdeep Kahlon, Farshid Bozorgnia, Adeel Arshad, Tom Mikkelsen, Vijayalakshmi Donthireddy

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Pathology oncology research : POR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Predictive Model of Risk Factors for Secondary Venous Thromboembolism in Patients After Craniotomy.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

6 authors at 3 institutions in 2 countries.

Shahzaib NabiDepartment of Internal Medicine, Henry Ford Health System/Wayne State University, 2799 West Grand Boulevard, CFP 1, Detroit, MI, 48202, USA. snabi1@hfhs.org.
Pushpinderdeep KahlonDepartment of Internal Medicine, Henry Ford Health System/Wayne State University, 2799 West Grand Boulevard, CFP 1, Detroit, MI, 48202, USA.
Farshid BozorgniaSchool of Medicine, Wayne State University, Detroit, MI, USA.
Adeel ArshadDepartment of Internal Medicine, Hamad Medical Corporation/Weill Cornell University, Doha, Qatar.
Tom MikkelsenDepartment of Neuro-Oncology, Hermelin Brain Tumor Center, Henry Ford Health System/Wayne State University, Detroit, MI, USA.
Vijayalakshmi DonthireddyDepartment of Hematology-Oncology, Henry Ford Health System/Wayne State University, Detroit, MI, USA.
Henry Ford Health System · USWayne State University · USWeill Cornell Medical College in Qatar · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate different risk factors associated with development of venous thromboembolism (VTE) in patients with Glioblastoma (GBM). A retrospective chart review was performed to include patients diagnosed with GBM from 2001 to 2011. Cases (n = 162) were defined as patients with GBM who developed VTE after diagnosis of GBM. Controls (n = 840) were defined as patients with GBM with no history of VTE. Data was collected for multiple variables including age, gender, race, length of hospital stay after brain biopsy, total number of hospital admissions unrelated to VTE, Karnofsky Performance Status (KPS), use of Bevacizumab and any bleeding episodes. Patients with GBM who had VTE had poorer KPS scores, with the majority (57%) being in between 40 and 70, as compared to the controls where majority (82%) had better performance (KPS 80-100). For every one year increase in age, the odds of developing VTE increased by 3% (OR 1.03, 95%CI 1.02-1.04, p < 0.001) with the mean age being 61.8 ± 11.4 years. GBM patients who developed a VTE were found to have greater number of hospital admissions (OR 1.43, 95%CI 1.33-1.53, p < 0.001) and longer stays in hospital after GBM biopsy (OR 1.14, 95%CI 1.09-1.18, p < 0.001). Patients receiving Bevacizumab were more likely to develop VTE (OR 1.79, 95%CI 1.21-2.64, p < 0.001) and were more likely to have a bleed (OR 3.78, 95% CI 2.70-5.30, p < 0.001). Patients with GBM are at a higher risk of developing VTE. The risk is higher in older patients who require multiple hospital admissions, longer duration of hospital stays related to GBM biopsy, and in patients with lower KPS scores. Bevacizumab use is related to a higher incidence of VTE as well as bleeds. This study suggests that a more aggressive strategy for VTE prophylaxis should be considered in GBM patients with risk factors for VTE.

Indexed as

Case-Control StudiesCombined Modality TherapyFemaleFollow-Up StudiesGlioblastomaHumansIncidenceMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesRisk FactorsUnited StatesVenous ThromboembolismBevacizumabGBMKPS scaleVenous thromboembolism

Identifiers

PMID26547860
OpenAlexW2308575384

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.