Objective To identify risk factors related to structural incomplete response (SIR) in papillary thyroid carcinoma (PTC) and develop a nomogram for PTC patients. Methods In this respective study, clinical, ultrasonic, and pathological data of PTC patients treated at our institute between 2016 and 2020 were analyzed. Patients were randomly split into training and validation sets at a ratio of 7:3. Multivariate Cox regression analysis was conducted to determine independent prognostic factors. On the basis of these factors, a nomogram was built to predict SIR. P value, concordance index, calibration plots and decision curve analysis were used to evaluate the model. Results Multivariate Cox regression analysis showed that BRAF V600E status, lymph node metastasis, sex, tumor size, margin, and surgical procedure were independent prognostic factors. In the validation set, the concordance index of the nomogram was 0.774 (95% confidence interval: 0.703–0.845). Calibration plots at 3 and 5 years showed no apparent difference between predicted SIR probability and the actual SIR proportion. Additionally, the nomogram had good net clinical benefit according to the decision curve analysis compared with cases that were treat-all or treat-none. Conclusion We build a nomogram to predict individualized outcomes and help postoperative surveillance in PTC patients.
Introduction: Chest X-ray (CXR) is used as the standard diagnostic method in lung diseases, especially in pneumonia, but unfortunately, despite the high risk of receiving radiation, it also has a high false negative rate. Therefore, some researchers recommend ultrasound to diagnose pneumonia. Aim: To investigate the accuracy of lung ultrasound compared to CXR for the diagnosis of pneumonia children by meta-analysis method. Material and methods: Original articles which evaluated accuracy of lung ultrasound compared to chest X-ray for the diagnosis of pneumonia in children, published between 1 January 2010 and 20 March 2021, were identified in the PubMed, Web of Science, Embase, Scopus and Cochrane Library databases. Data synthesis and statistical analysis were carried out using STATA software. Odds ratios with 95% confidence interval (CI), fixed effect model and mean difference with 95% CI, random effect model and REML were calculated. Results: At the first step, 1016 potentially important research abstracts and titles were discovered in our electronic searches, 8 papers were in agreement with our inclusion criteria. The statistical analysis showed sensitivity of 95.5% (95% CI: 93.6-97.1%) and specificity of 96.3% (95% CI: 92.1-98.4%) for the lung ultrasound, and CXR sensitivity and specificity were 87.4% (95% CI: 84.3-90.0%) and 98.6% (95% CI: 95.8-99.6%), respectively. Conclusions: The present study showed that ultrasound can be useful in diagnosing pneumonia in children, and due to the lack of risk of receiving radiation, this method is even more preferred.
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