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      Neurodevelopmental outcome of patients with congenital gastrointestinal malformations: a systematic review and meta-analysis

      systematic-review

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          Abstract

          Aim

          Children with congenital gastrointestinal malformations may be at risk of neurodevelopmental impairment due to challenges to the developing brain, including perioperative haemodynamic changes, exposure to anaesthetics and postoperative inflammatory influences. This study aggregates existing evidence on neurodevelopmental outcome in these patients using meta-analysis.

          Method

          PubMed, Embase and Web of Science were searched for peer-reviewed articles published until October 2019. Out of the 5316 unique articles that were identified, 47 studies met the inclusion criteria and were included. Standardised mean differences (Cohen’s d) between cognitive, motor and language outcome of patients with congenital gastrointestinal malformations and normative data (39 studies) or the studies’ control group (8 studies) were aggregated across studies using random-effects meta-analysis. The value of (clinical) moderators was studied using meta-regression and diagnostic subgroups were compared.

          Results

          The 47 included studies encompassed 62 cohorts, representing 2312 patients. Children with congenital gastrointestinal malformations had small-sized cognitive impairment (d=−0.435, p<0.001; 95% CI −0.567 to −0.302), medium-sized motor impairment (d=−0.610, p<0.001; 95% CI −0.769 to −0.451) and medium-sized language impairment (d=−0.670, p<0.001; 95% CI −0.914 to −0.425). Patients with short bowel syndrome had worse motor outcome. Neurodevelopmental outcome was related to the number of surgeries and length of total hospital stay, while no relations were observed with gestational age, birth weight, age and sex.

          Interpretation

          This study shows that children with congenital gastrointestinal malformations exhibit impairments in neurodevelopmental outcome, highlighting the need for routine screening of neurodevelopment during follow-up.

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          Most cited references91

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          Bias in meta-analysis detected by a simple, graphical test

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            Quantifying heterogeneity in a meta-analysis.

            The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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              Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range

              Background In systematic reviews and meta-analysis, researchers often pool the results of the sample mean and standard deviation from a set of similar clinical trials. A number of the trials, however, reported the study using the median, the minimum and maximum values, and/or the first and third quartiles. Hence, in order to combine results, one may have to estimate the sample mean and standard deviation for such trials. Methods In this paper, we propose to improve the existing literature in several directions. First, we show that the sample standard deviation estimation in Hozo et al.’s method (BMC Med Res Methodol 5:13, 2005) has some serious limitations and is always less satisfactory in practice. Inspired by this, we propose a new estimation method by incorporating the sample size. Second, we systematically study the sample mean and standard deviation estimation problem under several other interesting settings where the interquartile range is also available for the trials. Results We demonstrate the performance of the proposed methods through simulation studies for the three frequently encountered scenarios, respectively. For the first two scenarios, our method greatly improves existing methods and provides a nearly unbiased estimate of the true sample standard deviation for normal data and a slightly biased estimate for skewed data. For the third scenario, our method still performs very well for both normal data and skewed data. Furthermore, we compare the estimators of the sample mean and standard deviation under all three scenarios and present some suggestions on which scenario is preferred in real-world applications. Conclusions In this paper, we discuss different approximation methods in the estimation of the sample mean and standard deviation and propose some new estimation methods to improve the existing literature. We conclude our work with a summary table (an Excel spread sheet including all formulas) that serves as a comprehensive guidance for performing meta-analysis in different situations. Electronic supplementary material The online version of this article (doi:10.1186/1471-2288-14-135) contains supplementary material, which is available to authorized users.
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                Author and article information

                Journal
                Arch Dis Child Fetal Neonatal Ed
                Arch Dis Child Fetal Neonatal Ed
                fetalneonatal
                fnn
                Archives of Disease in Childhood. Fetal and Neonatal Edition
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                1359-2998
                1468-2052
                November 2021
                10 June 2021
                : 106
                : 6
                : 635-642
                Affiliations
                [1 ] departmentDepartment of Pediatric Surgery, Amsterdam Reproduction and Development Research Institute , Emma Children's Hospital, Amsterdam UMC, University of Amsterdam and Free University Amsterdam , Amsterdam, The Netherlands
                [2 ] departmentDepartment of Pediatrics, Emma Neuroscience Group, Amsterdam Reproduction & Development Research Institute , Emma Children's Hospital, Amsterdam UMC, University of Amsterdam , Amsterdam, The Netherlands
                [3 ] departmentPediatric Surgery , Princess Maxima Center for Pediatric Oncology , Utrecht, The Netherlands
                Author notes
                [Correspondence to ] Daniëlle Roorda, Department of Pediatric Surgery, Amsterdam Reproduction and Development Research Institute, Emma Children's Hospital, Amsterdam UMC, Amsterdam 1105 AZ, The Netherlands; d.roorda@ 123456amsterdamumc.nl
                Author information
                http://orcid.org/0000-0001-9740-4957
                Article
                fetalneonatal-2021-322158
                10.1136/archdischild-2021-322158
                8543204
                34112720
                64443adc-256e-4cbf-91bd-8a194e71d956
                © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See:  https://creativecommons.org/licenses/by/4.0/.

                History
                : 29 March 2021
                : 12 April 2021
                Categories
                Original Research
                1506
                Custom metadata
                unlocked

                Neonatology
                gastroenterology,neuropathology,psychology,neonatology
                Neonatology
                gastroenterology, neuropathology, psychology, neonatology

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