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      Comparison of conservative management, microsurgery only, and microsurgery with preoperative embolization for unruptured arteriovenous malformations: A propensity score weighted prospective cohort study

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          Abstract

          Aims

          To compare the efficacy and deficiency of conservative management (CM), microsurgery (MS) only, and microsurgery with preoperative embolization (E + MS) for unruptured arteriovenous malformations (AVMs).

          Methods

          We prospectively included unruptured AVMs undergoing CM, MS, and E + MS from our institution between August 2011 and August 2021. The primary outcomes were long‐term neurofunctional outcomes and hemorrhagic stroke and death. In addition to the comparisons among CM, MS, and E + MS, E + MS was divided into single‐staged hybrid and multi‐staged E + MS for further analysis. Stabilized inverse probability of treatment weighting using propensity scores was applied to control for confounders by treatment indication across the three groups.

          Results

          Of 3758 consecutive AVMs admitted, 718 patients were included finally (266 CM, 364 MS, and 88 E + MS). The median follow‐up duration was 5.4 years. Compared with CM, interventions (MS and E + MS) were associated with neurological deterioration. MS could lower the risk of hemorrhagic stroke and death. Multi‐staged E + MS was associated with neurological deterioration and higher hemorrhagic risks compared with MS, but the hybrid E + MS operation significantly reduced the hemorrhage risk.

          Conclusion

          In this study, unruptured AVMs receiving CM would expect better neurofunctional outcomes but bear higher risks of hemorrhage than MS or E + MS. The single‐staged hybrid E + MS might be promising in reducing inter‐procedural and subsequent hemorrhage.

          Abstract

          Microsurgery (MS) only and microsurgery with preoperative embolization (E + MS) could significantly prevent the hemorrhagic risk but caused more neurofunctional deficit than conservative management (CM).

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          Most cited references43

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          The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

          Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalisability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover three main study designs: cohort, case-control, and cross-sectional studies. We convened a 2-day workshop in September, 2004, with methodologists, researchers, and journal editors to draft a checklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles.18 items are common to all three study designs and four are specific for cohort, case-control, or cross-sectional studies.A detailed explanation and elaboration document is published separately and is freely available on the websites of PLoS Medicine, Annals of Internal Medicine, and Epidemiology. We hope that the STROBE statement will contribute to improving the quality of reporting of observational studies
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            Sensitivity Analysis in Observational Research: Introducing the E-Value.

            Sensitivity analysis is useful in assessing how robust an association is to potential unmeasured or uncontrolled confounding. This article introduces a new measure called the "E-value," which is related to the evidence for causality in observational studies that are potentially subject to confounding. The E-value is defined as the minimum strength of association, on the risk ratio scale, that an unmeasured confounder would need to have with both the treatment and the outcome to fully explain away a specific treatment-outcome association, conditional on the measured covariates. A large E-value implies that considerable unmeasured confounding would be needed to explain away an effect estimate. A small E-value implies little unmeasured confounding would be needed to explain away an effect estimate. The authors propose that in all observational studies intended to produce evidence for causality, the E-value be reported or some other sensitivity analysis be used. They suggest calculating the E-value for both the observed association estimate (after adjustments for measured confounders) and the limit of the confidence interval closest to the null. If this were to become standard practice, the ability of the scientific community to assess evidence from observational studies would improve considerably, and ultimately, science would be strengthened.
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              Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples

              The propensity score is a subject's probability of treatment, conditional on observed baseline covariates. Conditional on the true propensity score, treated and untreated subjects have similar distributions of observed baseline covariates. Propensity-score matching is a popular method of using the propensity score in the medical literature. Using this approach, matched sets of treated and untreated subjects with similar values of the propensity score are formed. Inferences about treatment effect made using propensity-score matching are valid only if, in the matched sample, treated and untreated subjects have similar distributions of measured baseline covariates. In this paper we discuss the following methods for assessing whether the propensity score model has been correctly specified: comparing means and prevalences of baseline characteristics using standardized differences; ratios comparing the variance of continuous covariates between treated and untreated subjects; comparison of higher order moments and interactions; five-number summaries; and graphical methods such as quantile–quantile plots, side-by-side boxplots, and non-parametric density plots for comparing the distribution of baseline covariates between treatment groups. We describe methods to determine the sampling distribution of the standardized difference when the true standardized difference is equal to zero, thereby allowing one to determine the range of standardized differences that are plausible with the propensity score model having been correctly specified. We highlight the limitations of some previously used methods for assessing the adequacy of the specification of the propensity-score model. In particular, methods based on comparing the distribution of the estimated propensity score between treated and untreated subjects are uninformative. Copyright © 2009 John Wiley & Sons, Ltd.
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                Author and article information

                Contributors
                chenxiaolin@bjtth.org
                captain9858@126.com
                Journal
                CNS Neurosci Ther
                CNS Neurosci Ther
                10.1111/(ISSN)1755-5949
                CNS
                CNS Neuroscience & Therapeutics
                John Wiley and Sons Inc. (Hoboken )
                1755-5930
                1755-5949
                21 November 2023
                April 2024
                : 30
                : 4 ( doiID: 10.1002/cns.v30.4 )
                : e14533
                Affiliations
                [ 1 ] Department of Neurosurgery, Beijing Tiantan Hospital Capital Medical University Beijing China
                [ 2 ] China National Clinical Research Center for Neurological Diseases Beijing China
                [ 3 ] Department of Interventional Neuroradiology, Beijing Tiantan Hospital Capital Medical University Beijing China
                [ 4 ] Department of Neurosurgery, The First Hospital of Hebei Medical University Hebei Medical University Shijiazhuang China
                [ 5 ] Department of Neurosurgery Shanxi Provincial People's Hospital Taiyuan Shanxi China
                [ 6 ] Department of Neurosurgery, Peking University International Hospital Peking University Beijing China
                [ 7 ] Department of Gamma‐Knife Center, Beijing Tiantan Hospital Capital Medical University Beijing China
                Author notes
                [*] [* ] Correspondence

                Xiaolin Chen and Shuo Wang, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.

                Email: chenxiaolin@ 123456bjtth.org and captain9858@ 123456126.com

                Author information
                https://orcid.org/0000-0001-9155-038X
                https://orcid.org/0000-0001-9122-092X
                https://orcid.org/0000-0002-0937-2711
                https://orcid.org/0000-0003-3172-715X
                https://orcid.org/0000-0003-4919-5390
                Article
                CNS14533 CNSNT-2023-780.R1
                10.1111/cns.14533
                11017441
                37990420
                b3a013a3-9b59-4c91-88d0-e0cb3415514b
                © 2023 The Authors. CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 02 November 2023
                : 01 June 2023
                : 07 November 2023
                Page count
                Figures: 5, Tables: 2, Pages: 11, Words: 5932
                Funding
                Funded by: National Key Research and Development Program of China , doi 10.13039/501100012166;
                Award ID: 2020YFC2004701
                Award ID: 2021YFC2501101
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 81771234
                Award ID: 82071302
                Award ID: 82202244
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                April 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.0 mode:remove_FC converted:15.04.2024

                Neurosciences
                arteriovenous malformation,embolization,hemorrhagic stroke,microsurgery,neurologic deficit

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