A nomogram model for predicting clinical outcomes was constructed based on the independent risk factors of PUI. The performance of the model was internally validated by 'leave-one-out' cross-validation (LOOCV)
Letter to the editor on: "Development and validation of a nomogram to predict the need for bailout procedure in laparoscopic cholecystectomy: A multicenter study of 1,898 cases" SurgeryRachana Mehta MScRanjana Sah MD
Postoperative constipation is often accompanied by abdominal pain, loss of appetite, nausea and vomiting, or even adverse cardiovascular and cerebrovascular events. This study aimed to establish nomogram for predicting the risk of postoperative new-onset constipation in elderly patients with hip fractures,...
Application of the nomogram in the validation cohort also gave good discrimination with an AUROC of 0.776 (95%CI, 0.694–0.859) and good calibration. The decision curve analysis of the nomogram provided better net benefit than the alternate options (insert-all or insert-none). Conclusions A ...
The nomogram demonstrated a recalibrated C-index of 0.854 for the training set and 0.752 for the validation set. Decision curve analysis revealed the nomogram's significant net benefit across various clinical threshold probabilities.#The AKI nomogram exhibits robust predictive capabilities, establishing ...
Development and validation of a nomogram for predicting overall survival of node‐negative ampullary carcinomaampullary carcinomalymph nodenomogrampredictionprognosisBackground: The accuracy of the current staging system for predicting the overall survival (OS) of patients with ampullary carcinoma (AC) is ...
NomogramThe Forgotten Joint Score (FJS-12) was designed to assess the extent to which patients were unaware of their artificial joints during daily activities, representing an ideal outcome of TKA. This study aimed to identify the individual predictors and develop a nomogram to predict a forgotten...
The nomogram showed excellent discrimination (AUC = 0.866, 95% confidence interval [CI], 0.846–0.885), calibration (Hosmer- Lemeshow test, P = 0.97) and overall performance (Brier score = 0.014) in the development cohort. Similar results were observed in the external validation cohort (AUC =...
Additionally, the C-index of the prediction nomogram was 0.813 (95% CI, 0.726-0.900) and the area under receiver operating characteristic curve (AUC) value was 0.798 while the interval bootstrapping validation C-index was 0.743. Hence, the nomogram might be a good predictive model. Conclusion...
This study aimed to develop and validate a dynamic nomogram to predict the risk of cognitive impairment in community-dwelling older adults who wear dentures. Methods We selected 2066 elderly people with dentures from CHARLS2018 data as the development and internal validation group and 3840 people ...