Background. Primary bone diffuse large B-cell lymphoma (PD-DLBCL) accounts for more than 80% of primary bone lymphoma. We created two nomograms to predict overall survival (OS) and cancer-specific survival (CSS) in patients with PD-DLBCL for this rare disease. Methods. In total, 891 patients diagnosed with PB-DLBCL between 2007 and 2016 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox analyses were performed to explore independent prognostic factors and create nomograms for OS and CSS. The area under the curve (AUC), the calibration curve, decision curve analysis (DCA), and Kaplan–Meier (K-M) curve analysis were used to evaluate the nomograms. Results. Four variables were identified as independent prognostic factors for OS, and three variables were identified as independent prognostic factors for CSS. The receiver operating characteristic (ROC) curves demonstrated the strong discriminatory power of the nomograms. The calibration and DCA curves showed that the nomograms had a satisfactory ability to predict OS and CSS. The K-M curves showed that age, gender, primary site, chemotherapy, and tumor stage affected patient survival. Conclusions. In patients with PD-DLBCL, age, race, primary site, and chemotherapy affected OS, while age, race, and chemotherapy affected CSS. The two nomograms created based on the aforementioned variables provided more accurate individual survival predictions for PD-DLBCL patients and can help physicians make appropriate clinical decisions.
Background. Synovial sarcoma is a rare disease, and synovial sarcoma that first appears in the extremities accounts for more than 80% of cases. We established two nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) rates of patients with synovial sarcoma. Methods. A total of 227 patients diagnosed with synovial sarcoma in the extremities between 2010 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox analyses were performed to explore independent prognostic factors and to create two separate nomograms for OS and CSS. The C-index, the area under the curve (AUC), calibration curve, decision curve analysis (DCA), and Kaplan–Meier (KM) curve were used to evaluate the column line graphs and analyze prognostic factors. Results. Age, Stage M, and surgery were identified as independent prognostic factors for OS and CSS. The ROC curve showed good discriminative power for the nomogram. Calibration curves and DCA curves showed that the nomogram had a satisfactory ability to predict OS and CSS. The KM curve showed that chemotherapy alone did not affect patient survival. Conclusion. Age, Stage M, and surgery are variables that affect OS and CSS in patients with synovial sarcoma in the extremities. Two nomograms were established based on the above variables to provide patients with more accurate individual survival predictions and to help physicians make appropriate clinical decisions.
Background: Primary bone diffuse large B-cell lymphoma accounts for more than 80% of primary bone lymphoma, and as a rare disease, we created two nomogram to predict overall survival (OS) and cancer-specific survival (CSS) in patients with PD-DLBCL.Methods: 891 patients diagnosed with PB-DLBCL between 2007 and 2016 were extracted from the Surveillance, Epidemiology and End Results (SEER) database. Univariate and multivariate Cox analyses were performed to explore independent prognostic factors and to create two separate nomogram for OS and CSS. The area under the curve (AUC), calibration curve, decision curve analysis (DCA), and Kaplan-Meier curve analysis were used to evaluate the nomogram.Results: 4 variables were identified as independent prognostic factors for OS and 3 variables were identified as independent prognostic factors for CSS. the ROC curves demonstrated good discriminatory power of the nomogram. Calibration curves and DCA curves showed that nomogram had satisfactory ability to predict OS and CSS. k-M curves showed that age, gender, first location, chemotherapy, and tumor stage affected patient survival.Conclusions: Age, race, primary site, and chemotherapy are variables that affect OS. And age, race, and chemotherapy are variables that affect CSS in patients with PD-DLBCL. Two nomogram were created based on the above variables to provide more accurate individual survival prediction for PD-DLBCL patients and to help physicians make appropriate clinical decisions.
Background Diabetic Osteoporosis (DO) is a complication of diabetes. As a first-line medication for diabetes, metformin combined with the anti-osteoporosis drug zoledronic acid is still unclear whether it is effective in treating DO. In this work, we explored the effect of metformin combined with zoledronic acid in the treatment of DO.Methods 12-week-old db/db mice were randomly divided into db/db group, ZA (zoledronic acid) group, MET (metformin) group, CMT (combination therapy group) group, Set WT (wild-type) mice of the same strain and age as the blank control group. Body weight and blood glucose were measured every 2 weeks. After 10 weeks, samples were taken for pathology and imaging related tests.Results (1) The body weight of db/db mice treated with metformin was stable and blood glucose was decreased. (2) After HE staining, db/db mice treated with metformin showed decreased adipocytes, increased blood cells and blood vessels in bone marrow cavity; db/db mice treated with zoledronic acid showed increased trabeculae. The number of bone trabeculae and blood vessels in the bone increased after the combined use of the two drugs. (3) By OPG staining and semi-quantitative analysis, db/db mice had the lowest osteoblastic activity. db/db mice treated with metformin had higher osteoblastic activity than those treated with zoledronic acid, and the osteoblastic activity of CMT was higher than that treated with ZA group or MET group. (4) After TE staining, semi-quantitative analysis showed that the number of bone lacunae in WT group was the least, the number of bone lacunae in ZA group and CMT group was significantly lower than that in db/db group, but the number of bone lacunae in MET group was not significant. (5) The bone morphological analysis of db/db mice in the CMT group was significantly better than that of MET or ZA alone by micro-CT scanning and bone tissue parameters determination.Conclusion ZA combined with MET has better anti-bone loss effect than zoledronic acid or metformin alone in db/db mice.
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