R scripts used in

Machine learning-derived asthma and allergy trajectories in children: a systematic review and meta-analysis

Daniil Lisik, Saliha Selin Özuygur Ermis, Gregorio Paolo Milani, Giulia Carla Immacolata Spolidoro, Selin Ercan, Michael Salisu, Faozyat Odetola, Daniele Giovanni Ghiglioni, Danylo Pylov, Emma Goksör, Rani Basna, Göran Wennergren, Hannu Kankaanranta, Bright Ibeabughichi Nwaru

Under review

Description of R scripts

• CONSTANTS.r: define folder paths and line color/types for plotting
• draw-individual-disease-plot.r: plot group of similar trajectories
• pool-proportions.r: perform meta-analysis on static characteristics described with percentages/proportions of subjects with said characteristic of the class/trajectory in question
• pool-risk-factors-and-outcomes.r: perform meta-analysis on risk factors/outcomes (potentially) associated with a derived group of similar trajectories
• summarize-country-data.r: extract and summarize descriptive country statistics from the included studies
• summarize-data-extractions.r: extract data items extracted from the included studies and populate a table with these data
• summarize-detailed-study-score.r: quantify computational methodology robustness and plot these data
• summarize-meta-analysis-statistics.r: extract descriptive statistics of the performed meta-analyses (e.g., number of meta-analyses performed in total)
• summarize-primary-and-secondary-study-numbers.r: quantify the number of primary and secondary studies
• summarize-quality-assessments.r: summarize methodological quality assesments in tabulated form
• summarize-quality-assessment-and-year-data.r: summarize methodological quality assesments and yearly publication trends in figure
• summarize-trajectories-number-determinants.r: quantify and plot length of follow-up, number of diseases investigated, and number of assessment time points in relation to the number of trajectories identified

Data availability

All data utilized are freely avaible from the original papers (referenced here) and from this Open Science Framework repository.

Contact

For any inquiries, please contact Daniil Lisik (daniil.lisik@gmail.com).