Evidence map›Paper›PMID 34355171›Full record

ArticleNeuro-oncology advances

Predictors of survival in elderly patients undergoing surgery for glioblastoma.

Mathew R Voisin, Sanskriti Sasikumar, Gelareh Zadeh

Open access · goldAbstract read
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

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  9. Optimal managements of elderly patients with glioblastoma.Japanese journal of clinical oncology · 2022
    Review
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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

3 authors at 1 institution in 1 country.

Mathew R VoisinDivision of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-1191-9579
Sanskriti SasikumarDivision of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
Gelareh ZadehDivision of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-6637-4502
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma (GBM) has a median age of diagnosis of 64 years old and the incidence increases with age. An increasing number of elderly patients are being diagnosed with GBM and undergoing surgery. These patients often present with multiple medical comorbidities and have significantly worse outcomes compared to adult patients. The goal of this study was to determine clinical predictors of survival in elderly patients undergoing surgery for GBM.

methodsOur brain tumor database was reviewed for all patients 65 years of age and older that underwent surgery for newly diagnosed GBM over a 14-year period from 2005 to 2018. Patient characteristics, comorbidities, complications, and treatment were collected. A total of 150 patients were included, and subdivided into two age categories; 65-74 years old and 75 years or older.

resultsThe median OS for all patients was 9.4 months. Neither the presence nor number of medical comorbidities were associated with decreased survival (

conclusionsThe presence of medical comorbidities is not a reason to exclude patients with GBM from surgical consideration. Excluding EOR and adjuvant treatment, postoperative complication is the most significant predictor of survival in elderly patients. Postoperative complications are associated with a longer LOS and are more common in patients 75 years of age and older.

Indexed as

comorbiditiescomplicationselderlyglioblastoma (GBM)outcomes

Identifiers

PMID34355171
PMCPMC8331047
OpenAlexW3176048796

What OpenQuestion holds

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LicenceCC BY
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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.