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      The incidence of cerebral arterial vasospasm following aneurysmal subarachnoid haemorrhage: a systematic review and meta-analysis

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          Abstract

          Purpose

          To describe a pooled estimated incidence of cerebral arterial vasospasm (aVSP) following aneurysmal subarachnoid haemorrhage (aSAH) and to describe sources of variation in the reported incidence.

          Methods

          We performed a systematic review and meta-analysis of randomised clinical trials (RCTs) and cohort studies. The primary outcome was the proportion of study participants diagnosed with aVSP. We assessed for heterogeneity based on mode of imaging, indication for imaging, study design and clinical characteristics at a study level.

          Results

          We identified 120 studies, including 19,171 participants. More than 40 different criteria were used to diagnose aVSP. The pooled estimate of the proportion of patients diagnosed with aVSP was 0.42 (95% CI 0.39 to 0.46, I 2 = 96.5%). There was no evidence that the incidence aVSP was different, nor that heterogeneity was reduced, when the estimate was assessed by study type, imaging modalities, the proportion of participants with high grade CT scores or poor grade clinical scores. The pooled estimate of the proportion of study participants diagnosed with aVSP was higher in studies with routine imaging (0.47, 95% CI 0.43 to 0.52, I 2 = 96.5%) compared to those when imaging was performed when indicated (0.30, 95% CI 0.25 to 0.36, I 2 = 94.0%, p for between-group difference < 0.0005).

          Conclusion

          The incidence of cerebral arterial vasospasm following aSAH varies widely from 9 to 93% of study participants. Heterogeneity in the reported incidence may be due to variation in the criteria used to diagnose aVSP. A standard set of diagnostic criteria is necessary to resolve the role that aVSP plays in delayed neurological deterioration following aSAH.

          PROSPERO registration

          CRD42020191895

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00234-022-03004-w.

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          Most cited references32

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          The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

          The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
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            Measuring inconsistency in meta-analyses.

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              A basic introduction to fixed-effect and random-effects models for meta-analysis.

              There are two popular statistical models for meta-analysis, the fixed-effect model and the random-effects model. The fact that these two models employ similar sets of formulas to compute statistics, and sometimes yield similar estimates for the various parameters, may lead people to believe that the models are interchangeable. In fact, though, the models represent fundamentally different assumptions about the data. The selection of the appropriate model is important to ensure that the various statistics are estimated correctly. Additionally, and more fundamentally, the model serves to place the analysis in context. It provides a framework for the goals of the analysis as well as for the interpretation of the statistics. In this paper we explain the key assumptions of each model, and then outline the differences between the models. We conclude with a discussion of factors to consider when choosing between the two models. Copyright © 2010 John Wiley & Sons, Ltd. Copyright © 2010 John Wiley & Sons, Ltd.
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                Author and article information

                Contributors
                LDonaldson@georgeinstitute.org.au
                Journal
                Neuroradiology
                Neuroradiology
                Neuroradiology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0028-3940
                1432-1920
                7 July 2022
                7 July 2022
                2022
                : 64
                : 12
                : 2381-2389
                Affiliations
                [1 ]GRID grid.412703.3, ISNI 0000 0004 0587 9093, Malcolm Fisher Department of Intensive Care Medicine, , Royal North Shore Hospital, ; Reserve Rd, St. Leonards, Sydney, NSW 2065 Australia
                [2 ]GRID grid.415508.d, ISNI 0000 0001 1964 6010, Division of Critical Care, , The George Institute for Global Health, Faculty of Medicine UNSW, ; Sydney, Australia
                [3 ]GRID grid.1013.3, ISNI 0000 0004 1936 834X, Northern Clinical School, Sydney Medical School, , University of Sydney, ; Sydney, Australia
                [4 ]GRID grid.412703.3, ISNI 0000 0004 0587 9093, Department of Neurosurgery, , Royal North Shore Hospital, ; Sydney, Australia
                Author information
                http://orcid.org/0000-0002-3530-785X
                http://orcid.org/0000-0002-6729-7772
                http://orcid.org/0000-0002-0655-0826
                http://orcid.org/0000-0002-1015-7146
                Article
                3004
                10.1007/s00234-022-03004-w
                9643195
                35794390
                1b5f8fad-77d5-47e3-b521-71869b491623
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 4 March 2022
                : 26 June 2022
                Funding
                Funded by: University of New South Wales
                Categories
                Interventional Neuroradiology
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2022

                Radiology & Imaging
                subarachnoid haemorrhage,intracranial vasospasm,delayed cerebral ischaemia,delayed neurological deterioration

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