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Updated: May 16, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Development and internal validation of a clinical nomogram for predicting vascular complications in patients with
Dragan Nikolić1,2, Janko Pasternak1,2, Vladimir Manojlović1,2
1Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Insights
A new clinical nomogram helps predict vascular complications in patients with Baker's cysts. This tool identifies high-risk individuals, enabling tailored surveillance and intervention for conditions like deep vein thrombosis (DVT).
Area of Science:
- Vascular Surgery
- Orthopedic Surgery
- Radiology
Background:
- Baker's cysts can lead to serious vascular issues, including popliteal vein compression and deep vein thrombosis (DVT).
- Currently, no validated tool exists to identify patients with Baker's cysts who are at high risk for these vascular complications.
Purpose of the Study:
- To develop and internally validate a clinical nomogram for predicting vascular complications in patients diagnosed with Baker's cysts.
Main Methods:
- A retrospective cohort study included 1,364 patients with Baker's cysts.
- Multivariate logistic regression identified predictors for vascular complications, which were used to create a nomogram.
- Internal validation was performed using bootstrap resamples and cross-validation.
Main Results:
- Vascular complications occurred in 10.0% of patients.
- Key predictors identified were: cyst size >40 mm, rheumatoid arthritis, venous insufficiency, anticoagulant therapy, and age >65 years.
- The nomogram showed good discrimination (AUC 0.83) and successfully stratified patients into low-, intermediate-, and high-risk groups.
Conclusions:
- A validated clinical nomogram using five accessible variables can stratify patients with Baker's cysts by risk of vascular complications.
- This tool can guide surveillance intensity and intervention timing.
- External validation is recommended before widespread clinical use.
Abstract:
BackgroundBaker's cysts can cause significant vascular complications including popliteal vein compression and deep vein thrombosis (DVT), yet no validated tool exists to predict which patients are at highest risk. We aimed to develop and internally validate a clinical nomogram for predicting vascular complications in patients with Baker's cysts.MethodsWe conducted a retrospective cohort study of 1,364 consecutive patients diagnosed with Baker's cysts between January 2015 and December 2024 at a single tertiary center. The primary outcome was a composite of vascular complications (symptomatic popliteal vein compression >50%, DVT involving the popliteal vein, pseudothrombophlebitis, or popliteal artery compression). Multivariate logistic regression identified independent predictors, which were incorporated into a nomogram. Internal validation was performed using 1,000 bootstrap resamples and 10-fold cross-validation.ResultsVascular complications occurred in 137 patients (10.0%). Of the total cohort, 923 (67.7%) presented with symptomatic cysts, while 441 (32.3%) were incidental findings. Five independent predictors were identified: cyst size >40 mm (adjusted OR 2.78, 95% CI 1.86-4.15), rheumatoid arthritis (aOR 2.24, 1.46-3.43), venous insufficiency (aOR 2.42, 1.52-3.86), anticoagulant therapy (aOR 1.86, 1.19-2.91), and age >65 years (aOR 1.72, 1.16-2.56). The nomogram demonstrated good discrimination (AUC 0.83, 95% CI 0.79-0.87) and calibration (Hosmer-Lemeshow p = .66). Risk stratification identified low-risk (2.6%), intermediate-risk (12.5%), and high-risk (35.7%) groups. The median time to complication was 14.2 months overall, with significantly earlier occurrence in high-risk patients (8.3 months).ConclusionsWe developed and internally validated a clinical nomogram based on five readily available variables that can stratify patients with Baker's cysts into risk groups for vascular complications. This tool may help tailor surveillance intensity and timing of intervention. External validation in independent cohorts is required before broad clinical implementation.
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