DOI: 10.6084/m9.figshare.28004096.v2
title: <b>Meta-analysis of global and regional incidence of Intrahepatic Cholestasis of Pregnancy (ICP)</b>

description: Meta-analysis of Intrahepatic Cholestasis of Pregnancy (ICP) IncidenceAccess this dataset on DryadThis repository contains data, scripts, plots, tables, and other supplementary material used in the study titled "Global and Regional Incidence of Intrahepatic Cholestasis of Pregnancy: A Systematic Review and Meta-Analysis". The study is currently under review in BMC Medicine. Details of the published version will be provided here.Data and file structureIn order to reproduce the results, readers are advised to source Results by 'R/main_script.R'. The main body of data structure is placed in Data 'Extraction/IHC of Pregnancy - Data extraction - v9.xlsx'. Other Excel workbooks and sheets provide supporting information.The final results are stored within 'Results by R/viz/' directory.Sharing/Access informationThis systematic review and meta-analysis followed the methodology described in a previously published protocol. Interested readers can visit here.The data provided on this repository will also be accessible via the published paper and its supporting material. The link to those will be provided after publication.Code/SoftwareThis work was completed using R version 4.3.3 [1] with the following R packages: camcorder v. 0.1.0 [2], flextable v. 0.9.7 [3], furrr v. 0.3.1.9000 [4], future v. 1.34.0 [5], ggforce v. 0.5.0 [6], glue v. 1.7.0 [7], here v. 1.0.1 [8], janitor v. 2.2.0 [9], magick v. 2.8.3 [10], marquee v. 0.1.0 [11], metafor v. 4.6.0 [12], officer v. 0.6.7 [13], rmarkdown v. 2.29 [14–16], rnaturalearth v. 1.0.1 [17], rnaturalearthdata v. 1.0.0 [18], rnaturalearthhires v. 1.0.0.9000 [19], rstatix v. 0.7.2 [20], scales v. 1.3.0 [21], sf v. 1.0.16 [22, 23], showtext v. 0.9.6 [24], tidyverse v. 2.0.0 [25].Package citationsR Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing;2024.Hughes E. camcorder: Record your plot history. 2022.Gohel D, Skintzos P. flextable: Functions for tabular reporting.Vaughan D, Dancho M. furrr: Apply mapping functions in parallel using futures. 2024.Bengtsson H. A unifying framework for parallel and distributed processing in r using futures. The R Journal. 2021;13:208–27.Pedersen TL. ggforce: Accelerating “ggplot2”. 2024.Hester J, Bryan J. glue: Interpreted string literals. 2024.Müller K. here: A simpler way to find your files. 2020.Firke S. janitor: Simple tools for examining and cleaning dirty data. 2023.Ooms J. magick: Advanced graphics and image-processing in r. 2024.Pedersen TL, Mitáš M. marquee: Markdown parser and renderer for r graphics. 2024.Viechtbauer W. Conducting meta-analyses in R with the metafor package. Journal of Statistical Software. 2010;36:1–48.Gohel D, Moog S, Heckmann M. officer: Manipulation of microsoft word and PowerPoint documents. 2024.Xie Y, Allaire JJ, Grolemund G. R markdown: The definitive guide. Boca Raton, Florida: Chapman; Hall/CRC;Xie Y, Dervieux C, Riederer E. R markdown cookbook. Boca Raton, Florida: Chapman; Hall/CRC; 2020.Allaire J, Xie Y, Dervieux C, McPherson J, Luraschi J, Ushey K, et al. rmarkdown: Dynamic documents for r. 2024.Massicotte P, South A. rnaturalearth: World map data from natural earth. 2023.South A, Michael S, Massicotte P. rnaturalearthdata: World vector map data from natural earth used in “rnaturalearth”. 2024.South A, Michael S, Massicotte P. rnaturalearthhires: High resolution world vector map data from natural earth used in rnaturalearth. 2024.Kassambara A. rstatix: Pipe-friendly framework for basic statistical tests. 2023.Wickham H, Pedersen TL, Seidel D. scales: Scale functions for visualization.Pebesma E. Simple Features for R: Standardized Support for Spatial Vector Data. The R Journal. 2018;10:439–46.Pebesma E, Bivand R. Spatial Data Science: With applications in R. Chapman and Hall/CRC; 2023.Qiu Y, See file AUTHORS for details. authors/contributors of the included software. showtext: Using fonts more easily in r graphs.Wickham H, Averick M, Bryan J, Chang W, McGowan LD, François R, et al. Welcome to the tidyverse. Journal of Open Source Software. 2019;4:1686.<br>