Evidence map›Paper›PMID 38026583›Full record

ArticleNeuro-oncology practice2023

Utility of a prognostic assessment tool to predict survival following surgery for brain metastases.

Hadleigh Cuthbert, Max Riley, Shreya Bhatt, Claudia Kate Au-Yeung, Ayesha Arshad, Sondos Eladawi, Athanasios Zisakis, Georgios Tsermoulas, Colin Watts, Victoria Wykes

Open access · hybridAbstract read
In one paragraph

Article in Neuro-oncology practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 3 institutions in 1 country.

Hadleigh CuthbertDepartment of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK.ORCID https://orcid.org/0000-0002-0385-1383
Max RileyUniversity of Birmingham Medical School, Birmingham, UK.
Shreya BhattUniversity of Birmingham Medical School, Birmingham, UK.
Claudia Kate Au-YeungUniversity of Warwick Medical School, Coventry, UK.
Ayesha ArshadDepartment of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK.
Sondos EladawiDepartment of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK.
Athanasios ZisakisDepartment of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK.
Georgios TsermoulasDepartment of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK.
Colin WattsDepartment of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK.
Victoria WykesDepartment of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK.
Queen Elizabeth Hospital Birmingham · GBUniversity of Birmingham · GBUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Brain metastases account for more than 50% of all intracranial tumors and are associated with poor outcomes. Treatment decisions in this highly heterogenous cohort remain controversial due to the myriad of treatment options available, and there is no clearly defined standard of care. The prognosis in brain metastasis patients varies widely with tumor type, extracranial disease burden and patient performance status. Decision-making regarding treatment is, therefore, tailored to each patient and their disease. Methods: This is a retrospective cohort study assessing survival outcomes following surgery for brain metastases over a 50-month period (April 1, 2014-June 30, 2018). We compared predicted survival using the diagnosis-specific Graded Prognostic Assessment (ds-GPA) with actual survival. Results: A total of 186 patients were included in our cohort. Regression analysis demonstrated no significant correlation between actual and predicted outcome. The most common reason for exclusion was insufficient information being available to the neuro-oncology multidisciplinary team (MDT) meeting to allow GPA calculation. Conclusions: In this study, we demonstrate that "predicted survival" using the ds-GPA does not correlate with "actual survival" in our operated patient cohort. We also identify a shortcoming in the amount of information available at MDT in order to implement the GPA appropriately. Patient selection for aggressive therapies is crucial, and this study emphasizes the need for treatment decisions to be individualized based on patient and cancer clinical characteristics.

Indexed as

brain metastasesgraded prognostic assessmentoutcomeprognosisresection

Identifiers

PMID38026583
PMCPMC10666803
OpenAlexW4385623335

What OpenQuestion holds

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LicenceCC BY
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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.