Data and analysis code for "Closing the Cervical Screening Cascade Gap Toward WHO 90-70-90 Elimination Targets: A Systematic Review and Meta-Analysis"

This deposit contains the study-level dataset and analysis code for the systematic review and meta-analysis "Closing the Cervical Screening Cascade Gap Toward WHO 90-70-90 Elimination Targets." The dataset comprises aggregate, already-published effect estimates from 25 studies (plus Agurto 2006 as a narrative/sensitivity study) of interventions to improve follow-up after abnormal cervical cancer screening. The Python code reproduces the primary random-effects meta-analysis, subgroup and sensitivity analyses, publication-bias assessment, and supplementary analyses. No individual participant data are included. Code is released under the MIT License; data and documentation under CC BY 4.0. Full-text PDFs of included studies are not redistributed. See README.md for full details and instructions to reproduce the results.