# General information ## Title of Dataset: Global burden of non-tuberculous mycobacteria in the cystic fibrosis population: a systematic review and meta-analysis The dataset contains the primary data extracted from the studies included in the systematic review, the quality assessment of included studies, data dictionaries to interpret primary data and scripts to reproduce all results of the publication. ## Author/Principal Investigator Information Name: Bradley Quon. Institution: University of British Columbia, Centre for Heart and Lung Innovation. Address: Room 166. 1081 Burrard Street. Vancouver, BC V6Z 1Y6. Email: bradley.quon@hli.ubc.ca ## Author/Associate or Co-investigator Information Name: Miguel D. Prieto ORCID: 0000-0002-5589-2945. Institution: University of British Columbia, Centre for Heart and Lung Innovation. Email: Miguel.prieto@hli.ubc.ca; mprietog@sfu.ca # Description of the Data and file structure ## Data files overview All analysis scripts were performed in R version 4.1.1. The data is structured in six different files: - `20230308_SRNTM_manuscript_analyses.Rmd` - `20230308_SRNTM_publication_plots.R` - `20220120_SRNTM_studies_characteristics_prieto.xlsx` - `20230308_SRNTM_dictionary_data_meta_analysis_prieto.xlsx` - `20230308_SRNTM_dictionary_study_characteristics_prieto.xlsx` - `data_meta_analysis_qa.csv` ## __DATA-SPECIFIC INFORMATION FOR: 20230308_SRNTM_manuscript_analyses.Rmd__ Contents: This script takes as input the cleaned dataset in .csv format (`data_meta_analysis_qa.csv`). The sections of analysis include exploratory data analysis of prevalence/incidence data according to different subgroups, meta-analysis including subgroup exploration, and sensitivity analyses. The **meta** and **metafor** packages are used for meta-analysis and meta-regression. **Robvis** is employed to produce quality assessment plots and traffic plots ## __DATA-SPECIFIC INFORMATION FOR: 20230308_SRNTM_publication_plots.R__ Contents: This script must be run after `20230308_SRNTM_manuscript_analyses.Rmd` as it builds upon the cleaned datasets produced in R. It uses the **Cairo** library to produce and capture high quality images in `.tiff` format as required for publication. The script is separated in sections to produce every table included in the manuscript, including supplementary ones. ## __DATA-SPECIFIC INFORMATION FOR: 20220120_SRNTM_studies_characteristics_prieto.xlsx__ Contents: Excel spreadsheet dataset containing the results of the consensus data extraction for all studies included in the final report. Data was extracted by authors Prieto MD and Alam ME. Number of cases/rows: 95 Variable List: see `20230308_SRNTM_dictionary_study_characteristics_prieto.xlsx` Missing data codes: "NA", "Missing", "not reported", "NR" Specialized formats or other abbreviations used: .xlsx ## __DATA-SPECIFIC INFORMATION FOR: data_meta_analysis_qa.csv__ Contents: Condensed and analysis ready dataset in comma separated value format containing variables used for formal data analysis and a cleaned summary of the quality assessment results. Number of cases/rows: 95 Variable List: see `20230308_SRNTM_dictionary_data_meta_analysis_prieto.xlsx` Missing data codes: "NA", "Missing" Specialized formats or other abbreviations used: .csv ## __DATA-SPECIFIC INFORMATION FOR: 20230308_SRNTM_dictionary_data_meta_analysis_prieto.xlsx__ Contents: Excel spreadsheet with updated data dictionary or hash table explaining the variable IDs used in `data_meta_analysis_qa` Number of cases/rows: 42 Missing data codes: "NA", "." Specialized formats or other abbreviations used: .xlsx ## __DATA-SPECIFIC INFORMATION FOR: 20230308_SRNTM_dictionary_study_characteristics_prieto.xlsx__ Contents: Excel spreadsheet with updated data dictionary or hash table explaining the variable IDs used in `20220120_SRNTM_studies_characteristics_prieto.xlsx` Number of cases/rows: 52 Missing data codes: "NA", "." Specialized formats or other abbreviations used: .xlsx ## Sharing/access Information The data is also available in the author's repository at: [https://github.com/azmigueldario/manuscripts_UBC](https://github.com/azmigueldario/manuscripts_UBC)