External validation of a prediction model for pain and functional ...
Objective Patient-reported outcome measures following elective lumbar fusion surgery demonstrate major heterogeneity. Individualized prediction tools can provide valuable insights for shared decision-making. We externally validated the spine surgical care and outcomes assessment programme/comparative effectiveness translational network (SCOAP-CERTAIN) model for prediction of 12-month minimum ...
In addition, overfitting of the model to the development cohort can only reliably be detected after external valida-tion , or at a minimum, prospective internal validation .
External validation of a prediction model for pain and functional ...
Area under the curve (AUC) values of the three models for prediction of MCID in the 12-month outcome, assessed on 100 external patients.
We externally validated the spine surgical care and outcomes assessment programme/comparative effectiveness translational network (SCOAP-CERTAIN) model for prediction of 12-month minimum clinically important difference in Oswestry Disability Index (ODI) and in numeric rating scales for back (NRS-BP) and leg pain (NRS-LP) after elective lumbar ...
External Validation Of A Prediction Model For Pain And Functional ...
External validation of a prediction model for pain and functional outcome after elective lumbar spinal fusion. OBJECTIVE: Patient-reported outcome measures following elective lumbar fusion surgery demonstrate major heterogeneity. Individualized prediction tools can provide valuable insights for shared decision-making.
Conclusions and Relevance The PRO response prediction tool, informed by population-level data, explained most of the variability in pain reduction and functional improvement after surgery. Giving patients accurate information about their likelihood of outcomes may be a helpful component in surgery decision making.
Development and external validation of a prediction model for patient ...
This study developed and externally validated prediction models for outcomes of people with chronic widespread pain and fibromyalgia in a rehabilitation setting. Multivariable prediction models generated poor to excellent predictions of patient‐relevant outcomes, but the complexity of these models may reduce their clinical utility.
Findings Using statewide prospective data from 15 hospitals and 1965 adult surgical candidates, 3 prediction tools were generated to predict the likelihood of improvements in function, back pain , and leg pain after lumbar fusion surgery. The predictive ability and calibration of these predictive tools were confirmed in a validation cohort.
Generalisable prediction models for outcomes after lumbar spinal ...
Lumbar spinal stenosis is a leading indication for spine surgery, but outcomes are heterogeneous. We aimed to develop and externally validate prediction models for 12-month disability and pain to inform shared decision-making.
Abstract Objectives We aimed to assess paths taken by clinical prediction models (CPMs) after development by quantifying external validation , impact assessment, and utilization in clinical practice.