TOP-plus Age repository: patient-entry history for symptomatic breast cancer risk estimation

Restricted-access repository accompanying the manuscript "Estimating breast cancer risk from patient-entry history to support direct-access symptomatic breast assessment: derivation and internal validation of the TOP-plus Age model". This repository supports peer review and reproducibility of the derivation and internal-validation analyses for the TOP-plus Age model, an interpretable logistic-regression model estimating symptomatic breast cancer risk from structured patient-entry history and age before specialist assessment. The restricted repository file includes a pseudonymised row-level analysis dataset, data dictionary, model coefficients, threshold outputs, patient-level split validation metrics, bootstrap optimism-correction summary, temporal holdout summary, missingness summary, README, manifest, QC summary and restricted data-use conditions. The row-level dataset is derived from routine clinical data and is therefore provided under restricted access. It excludes direct identifiers, NHS/hospital numbers, names, dates of birth, exact clinic dates, full postcodes, LSOA codes, raw free-text clinical entries, source-row identifiers and granular referral-source categories. Requestors must not attempt re-identification, linkage with external datasets, patient contact, or clinical use. The TOP-plus Age model is not a diagnostic test, triage rule, discharge rule, or clinically deployable pathway intervention. It is a candidate episode-level risk-estimation layer for prospective external validation, recalibration, safety evaluation and equity assessment. Restricted access conditions:Access requests may be considered for peer review, editorial assessment, or bona fide research reproducibility checks, subject to institutional governance and data-protection requirements. Requestors must explain the intended use and confirm that they will not attempt re-identification, linkage to external datasets, redistribution, patient contact, clinical decision-making, triage, discharge, or implementation of the model. Any further use requires written permission from the corresponding author/institution and appropriate governance approval.