Evidence map›Paper›PMID 35096403›Full record

ArticleNeuro-oncology practice2022

Metabolics risk factors in a New Zealand glioblastoma cohort.

Eileen J McManus, Chris Frampton, Alvin Tan, Matthew C L Phillips

Abstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

4 authors.

Eileen J McManusNeurology Department, Waikato General Hospital, Hamilton, Waikato, New Zealand.ORCID https://orcid.org/0000-0002-4521-805X
Chris FramptonDepartment of Medicine, University of Otago, Christchurch, Christchurch, New Zealand.
Alvin TanOncology Department, Waikato General Hospital, Hamilton, Waikato, New Zealand.
Matthew C L PhillipsNeurology Department, Waikato General Hospital, Hamilton, Waikato, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma multiforme (GBM) is the most aggressive form of glioma. There is growing recognition that mitochondrial metabolism plays a role in cancer development. Metabolic syndrome is a risk factor for several cancers; however, the prevalence in GBM patients in New Zealand (NZ) is unknown. We hypothesized that patients with GBM would show a higher prevalence of metabolic syndrome compared to the general NZ population and that metabolic syndrome may be associated with worsened overall survival (OS) in GBM.

methodsWe performed a retrospective analysis in 170 patients diagnosed and treated for GBM between 2005 and 2020. Clinical and biochemical data were collected with regard to 5 metabolic criteria. OS was determined from the date of initial surgical diagnosis to the date of death or date of data acquisition.

resultsOf 170 patients, 31 (18.2%) met the diagnostic criteria for metabolic syndrome. The prevalence of metabolic syndrome in our cohort did not significantly differ from that of the general NZ population. However, OS in patients with metabolic syndrome was significantly worse compared to patients without metabolic syndrome (8.0 vs 13.0 months,

conclusionsWe have shown that metabolic syndrome is associated with reduced OS in a NZ cohort of GBM patients. This finding further strengthens the possibility that a metabolic pathogenesis may underpin GBM. However, prospective clinical trials are needed.

Indexed as

dexamethasoneethnicityglioblastoma multiformemetabolic syndromeoverall survival

Identifiers

PMID35096403
PMCPMC8789307

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.