Data & Code for "Acute Coronary Syndrome at First Contact in Primary Care: Women, Diabetes, and the Safety of Rapid ECG–High-Sensitivity Troponin Pathways" (v1.0.0)

This record contains the data and reproducible code accompanying the targeted review:“Acute Coronary Syndrome at First Contact in Primary Care: Women, Diabetes, and the Safety of Rapid ECG–High-Sensitivity Troponin Pathways.”It provides machine-readable tables, a manifest of included studies, search strategies (PRISMA-S), and a code stub to enable full transparency and reuse. The deposit follows PRISMA 2020 and PRISMA-S reporting principles and is intended to support the medRxiv preprint and subsequent journal submission. What’s included /data Table_S_PICo_Eligibility.csv (+ original .xlsx) Table_R4_RiskOfBias.csv (+ original .xlsx) Forest_Style_Summary_Part4.csv (+ original .xlsx) Appendix_DataExtraction.csv (template—fill or replace with your final extraction sheet) Appendix_ScreeningLog.csv (template—fill or replace with your screening log) /code PUT_YOUR_R_SCRIPTS_HERE.txt (drop in your .R scripts; recommended order 01_load_packages → 04_figures_tables) sessionInfo.txt (paste R sessionInfo() or include renv.lock) /docs Appendix_S1_PRISMA-S_Search_Strings.txt and Appendix_SearchStrings_2007-2025.pdf PRISMA_2020_Checklist.pdf, PRISMA-S_Checklist.pdf Copies of the manuscript for convenience (.docx, .pdf) Reproducibility Open R (≥ 4.2); install packages used in your scripts. Run scripts in /code in order (01→04). Outputs should reproduce the tables/figures referenced in the manuscript. Provide any external dependencies in the README and record your sessionInfo(). Licensing & reuse Unless noted otherwise, this deposit is released under CC BY 4.0 (see LICENSE). If you prefer MIT for code, include an MIT license inside /code and state this in the record. Ethics & rightsThis dataset compiles information from published studies; no human subjects or identifiable data were collected. Publisher PDFs of paywalled articles are not redistributed here; see Included_Studies_Manifest.csv for DOIs/links. How to citePlease cite this deposit by its Zenodo DOI once minted, and cite the companion medRxiv preprint.Example: Adetunji SA. ACS Primary Care Review — Data & Code. Zenodo, v1.0.0. DOI: 10.5281/zenodo.17447271