Evidence map›Paper›PMID 33956233›Full record

ArticleActa neurochirurgica2022

Current decision support tools fail to agree or predict therapeutic decisions in a single cohort of unruptured intracranial aneurysms.

Ahilan Kailaya-Vasan, Joseph Frantzias, Jayantan Kailaya-Vasan, Ian A Anderson, Daniel C Walsh

Abstract read
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Article in Acta neurochirurgica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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.

Ahilan Kailaya-Vasan *Department of Neurosurgery, King's College Hospital, Denmark Hill, Brixton, London, SE5 9RS, UK. a.kailaya-vasan@nhs.net.ORCID http://orcid.org/0000-0002-6495-2903
Joseph Frantzias *Department of Neurosurgery, King's College Hospital, Denmark Hill, Brixton, London, SE5 9RS, UK.
Jayantan Kailaya-VasanDepartment of Neurosurgery, King's College Hospital, Denmark Hill, Brixton, London, SE5 9RS, UK.
Ian A AndersonDepartment of Neurosurgery, King's College Hospital, Denmark Hill, Brixton, London, SE5 9RS, UK.
Daniel C WalshDepartment of Neurosurgery, King's College Hospital, Denmark Hill, Brixton, London, SE5 9RS, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is limited evidence to direct the management of unruptured intracranial aneurysms. Models extrapolated from existing data have been proposed to guide treatment recommendations. The aim of this study is to assess whether a consensus-based treatment score (UIATS) or rupture rate estimation model (PHASES) can be used to benchmark UK multi-disciplinary team (MDT) practice.

methodsProspective data was collected on a consecutive series of all patients with unruptured intracranial aneurysms (UIAs) presenting to a major UK neurovascular centre between 2012 and 2015. The agreement between the UIATS and PHASES scores, and their sensitivity and specificity in predicting the real-world MDT outcome were calculated and compared.

resultsA total of 366 patients (456 aneurysms) were included in the analysis. The agreement between UIATS and MDT recommendation was low (weighted kappa 0.26 [95% CI 0.19, 0.32]); sensitivity and specificity were also low at 36% and 52% respectively. Groups that the MDT allocated to treatment, equipoise or no treatment had significantly different PHASES scores (p = 0.004). There was no significant difference between the two scores when predicting patients for whom MDT outcome was to recommend aneurysm treatment, but the UIATS score was superior in predicting patients who received an MDT recommendation of 'treatment-equipoise', or 'not-for-treatment' (AUC of 0.73 compared to 0.59 for PHASES).

conclusionsThe models studied failed to agree with the consensus view of multi-disciplinary team in a major neurovascular centre. We conclude that decision support tools such as the UIATS and PHASES scores should not be blindly introduced in respective institutions without prior internal validation, as they may not represent the local reality.

Indexed as

Aneurysm, RupturedIntracranial AneurysmCohort StudiesHumansProspective StudiesRetrospective StudiesMulti-disciplinary meetingScreeningTreatmentTreatment scoreUnruptured intracranial aneurysms

Identifiers

PMID33956233
PMCPMC8913469

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