Evidence map›Paper›PMID 33175449›Full record

Observational studyEuropean journal of neurology2021

The Unruptured Intracranial Aneurysm Treatment Score as a predictor of aneurysm growth or rupture.

Rob Molenberg, Marlien W Aalbers, Aryan Mazuri, Gert Jan Luijckx, Jan D M Metzemaekers, Rob J M Groen, Maarten Uyttenboogaart, J Marc C van Dijk

Abstract readObservational Study
In one paragraph

Observational study in European journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. A Future Blood Test to Detect Cerebral Aneurysms.Cellular and molecular neurobiology · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

8 authors.

Rob MolenbergDepartments of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.ORCID 0000-0002-6621-2028
Marlien W AalbersDepartments of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Aryan MazuriDepartments of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Gert Jan LuijckxDepartments of Neurology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Jan D M MetzemaekersDepartments of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Rob J M GroenDepartments of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Maarten UyttenboogaartDepartments of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
J Marc C van DijkDepartments of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.ORCID 0000-0002-0814-5680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe Unruptured Intracranial Aneurysm Treatment Score (UIATS) was built to harmonize the treatment decision making on unruptured intracranial aneurysms. Therefore, it may also function as a predictor of aneurysm progression. In this study, we aimed to assess the validity of the UIATS model to identify aneurysms at risk of growth or rupture during follow-up.

methodsWe calculated the UIATS for a consecutive series of conservatively treated unruptured intracranial aneurysms, included in our prospectively kept neurovascular database. Computed tomography angiography and/or magnetic resonance angiography imaging at baseline and during follow-up was analyzed to detect aneurysm growth. We defined rupture as a cerebrospinal fluid or computed tomography-proven subarachnoid hemorrhage. We calculated the area under the receiver operator curve, sensitivity, and specificity, to determine the performance of the UIATS model.

resultsWe included 214 consecutive patients with 277 unruptured intracranial aneurysms. Aneurysms were followed for a median period of 1.3 years (range 0.3-11.7 years). During follow-up, 17 aneurysms enlarged (6.1%), and two aneurysms ruptured (0.7%). The UIATS model showed a sensitivity of 80% and a specificity of 44%. The area under the receiver operator curve was 0.62 (95% confidence interval 0.46-0.79).

conclusionsOur observational study involving consecutive patients with an unruptured intracranial aneurysm showed poor performance of the UIATS model to predict aneurysm growth or rupture during follow-up.

Indexed as

Aneurysm, RupturedIntracranial AneurysmSubarachnoid HemorrhageHumansMagnetic Resonance AngiographyRetrospective Studiesgrowthintracranial aneurysmpredictorssubarachnoid hemorrhageUIATS

Identifiers

PMID33175449
PMCPMC7898860

What OpenQuestion holds

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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.