Evidence map›Paper›PMID 36239603›Full record

ArticleAnnals of the Royal College of Surgeons of England2023

Usefulness of preoperative extracranial imaging in radiologically suspicious glioblastoma in the West of Scotland and proposal of an imaging diagnostic pathway.

S Lammy, R McPartlin, E Bridgman, J Bouttell, J Brown

Open access · greenAbstract read
In one paragraph

Article in Annals of the Royal College of Surgeons of England, 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
–field-weighted citation impact, top 78% 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, 1 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

5 authors at 1 institution in 4 countries.

S LammyInstitute of Neurological Sciences, UK.ORCID 0000-0003-3199-0038
R McPartlinInstitute of Neurological Sciences, UK.
E BridgmanInstitute of Neurological Sciences, UK.
J BouttellInstitute of Health and Wellbeing, University of Glasgow, UK.
J BrownInstitute of Neurological Sciences, UK.
Cancer Research UK · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA computed tomography chest, abdomen and pelvis scan (CT CAP) is probably unnecessary if a glioblastoma is detected on the initial CT brain (CTB) before more radiologically definitive magnetic resonance imaging (MRI). We audited its frequency to develop and improve our diagnostic management pathway.

methodsTwelve-month retrospective case series from 2018 of patients having an initial CTB suspicious for glioblastoma. We dichotomised patients into two groups: Group 1, tissue proven; and Group 2, non-tissue proven, owing to increased extracranial comorbidity in Group 2, which might influence a medical decision to request a CT CAP despite the radiological diagnosis of a glioblastoma being obvious on an initial CT. We quantified the frequencies of plain and contrast CTBs, CT CAPs and extracranial malignancy.

resultsIn total, 131 patients had a CTB suspicious for glioblastoma; of these, 72% had a CT CAP and 17% had extracranial malignancy. In Group 1 (

conclusionsPatients having an initial contrast CTB suggestive of glioblastoma, prior to definitive MRI, who are going to be managed surgically, having no history of extracranial malignancy, do not necessarily need a CT CAP unless MRI is non-diagnostic.

Indexed as

GlioblastomaAgedHumansMagnetic Resonance ImagingMiddle AgedRadionuclide ImagingRetrospective StudiesScotlandTomography, X-Ray ComputedCT scanDifferential diagnosisExtracranial metastasesGlioblastomaImaging pathway

Identifiers

PMID36239603
PMCPMC10618032
OpenAlexW4306247927

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.