Risk Assessment Results
ACM Surgical Risk Calculator v0.1.0 · models@1e0dd51 · research use only
ACM Surgical Risk Calculator estimates the probability of two postoperative outcomes, a systemic or medical complication and a new or worsened motor deficit, from 11 preoperative clinical and radiological variables. The models were developed on multicentre retrospective data and evaluated on an independent external cohort.
The models were developed on patients treated in Bologna and Cesena and evaluated on an independent external validation cohort from Liverpool and Nanjing. The predictions are probabilistic estimates derived from historical data, reflecting patterns observed in similar patients.
You enter 11 preoperative variables through one guided form: patient baseline and symptoms, and radiological characteristics.
Each outcome uses a ridge-penalised logistic regression on eight of those variables, with its published coefficients served unchanged.
The model returns an individual probability, placed into one of four bands defined a priori relative to that outcome's event rate in the development cohort.
The estimates do not account for every factor that may influence outcome, including intraoperative events, surgeon judgement or institution-specific practice. Actual outcomes may differ from the predicted risk.
Each estimate is produced by a model developed and validated specifically for that outcome.
Describe the patient below and calculate the two risk estimates. All fields are pre-filled with a default; change only what applies to this patient.
ACM Surgical Risk Calculator v0.1.0 · models@1e0dd51 · research use only
ACM Surgical Risk Calculator was developed on a retrospective cohort of patients operated for anterior clinoidal meningioma in Bologna and Cesena, and evaluated on an external cohort from Liverpool and Nanjing.
Internal performance was estimated by cross-validation within the development cohort. External performance was measured on the independent Liverpool and Nanjing cohort, on which the published operating points were defined. The coefficients are read at runtime by this calculator rather than refitted.
| Outcome | Model | External AUROC (95% CI) | Internal CV AUC (95% CI) | Brier | Calibration slope | Calibration intercept |
|---|
External AUROC, Brier score and calibration are measured on the Liverpool and Nanjing cohort; the internal AUC by cross-validation on the development cohort.
Risk categories were defined a priori from the predicted probability relative to each model's observed event rate in the development cohort: 22.2% for a systemic or medical complication and 11.4% for a new or worsened motor deficit. Thresholds were selected to preserve clinical interpretability and to reflect meaningful elevation above each outcome's baseline rate.