Reconstruction of massive bone defects is challenging for orthopaedic clinicians, especially in cases of severe trauma and resection of tumors in various locales. Autologous iliac crest bone graft (ICBG) is the “gold standard” for bone grafting. However, the limited availability and complications at donor sites resulted in seeking other options like allografts and bone graft substitutes. Demineralized bone matrix (DBM) is a form of allograft using acidic solution to remove mineral components, while leaving much of the proteinaceous components native to bone, with small amounts of calcium‐based solids, inorganic phosphates, and some trace cell debris. It is an osteoconductive and osteoinductive biomaterial and is approved as a medical device for use in bone defects and spinal fusion. To pack consistently into the defect sites and stay firmly in the filling parts, DBM products have various forms combined with biocompatible viscous carriers, including sponges, strips, injectable putty, paste, and paste infused with chips. The present review aims to summarize the properties of various kind of viscous carriers and their clinical use combined with DBM in commercially available products. Given DBM'mercially available products. Given DBM;s long clinical track record and commercial accessibility in standard forms, opportunities to further develop and validate DBM as a versatile bone biomaterial in orthopaedic repair and regenerative medicine contexts are attractive.
Background Core decompression (CD) is an important method for the treatment of osteonecrosis of the femoral head (ONFH). Few articles investigate the influence of core decompression on outcomes of ONFH. This study was carried out to observe the safety and effectiveness of core decompression in the treatment of ONFH. Methods A comprehensive literature search of databases including PubMed, Embase, and Cochrane Library was performed to collect the related studies. The medical subject headings used were “femur head necrosis” and “Core decompression.” The relevant words in title or abstract included but not limited to “Osteonecrosis of the Femoral Head,” “femoral head necrosis,” “avascular necrosis of femoral head,” and “ischemic necrosis of femoral head.” The methodological index for nonrandomized studies was adopted for assessing the studies included in this review. Results Thirty-two studies included 1865 patients (2441 hips). Twenty-one studies (1301 hips) using Ficat staging standard, 7 studies (338hips) using Association Research Circulation Osseous (ARCO) staging standard, and University of Pennsylvania system for staging avascular necrosis (UPSS) staging criteria for 4 studies (802 hips). All the studies recorded the treatment, 22 studies (1379 hips) were treated with core decompression (CD) alone, and 7 studies (565 hips) were treated with core decompression combined with autologous bone (CD Autologous bone). Nine subjects (497 hips) were treated with core decompression combined with autologous bone marrow (CD Marrow). Twenty-seven studies (2120 hips) documented the number of conversion to total hip replacement (THA), and 26 studies (1752hips) documented the number of radiographic progression (RP). Twenty-one studies recorded the types of complications and the number of cases, a total of 69 cases. The random-effect model was used for meta-analysis, and the results showed that the overall success rate was 65%. The rate of success showed significant difference on the outcomes of different stages. The rate of success, conversion to THA, and radiographic progression showed significant difference on the outcomes of ONFH using different treatments. Conclusions Core decompression is an effective and safe method of treating ONFH. The combined use of autologous bone or bone marrow can increase the success rate. For advanced femoral head necrosis, the use of CD should be cautious. High-quality randomized controlled trials and prospective studies will be necessary to clarify the effects of different etiology factors, treatments, and postoperative rehabilitation. Until then, the surgeon can choose core decompression to treat ONFH depending on the patient’s condition. Level of evidence I Meta-analysis
Background: Bone is a common metastatic tissue of kidney cancer. Accurate prediction of the prognosis of patients with kidney cancer bone metastasis (KCBM) can help doctors and patients choose a further appropriate treatment. Methods: During the period from January 1, 2010 to December 31, 2015, screening patients with kidney cancer diagnosed with bone metastases from the SEER database. Summary of demographic, pathology, number of other metastatic organs, and treatment for KCBM patients. All prognostic factors were plotted for Kaplan-Meier survival curves and log-rank test. Prognostic factors of P<0.001 in the log-rank test were chosen and used to establish nomograms of OS and KCSS. We used C-index, ROC curve, and calibration plot to test the prediction accuracy of two nomograms. Results: A total of 4,234 KCBM patients were included in the study, and patients were diagnosed between January 1, 2010 and December 31, 2015. The model establishment group included 2,966 KCBM patients and the validation group included 1,268 KCBM patients. We have established nomograms for OS and KCSS respectively. These two nomograms included factors such as age, marital status, insurance status, histological type, grade, T stage, N stage, number of extra-bone metastatic organs, surgery, RT, and CT. The C-index of nomograms of OS and KCSS was 0.733 and 0.752, respectively. In all ROC curves, all AUC values were greater than 0.7, proving that the nomograms of both OS and KCSS have achieved medium prediction accuracy. The calibration plots of the model establishment group and the validation group showed good consistency between the predicted nomograms of OS and KCSS. Conclusions: In this study, nomograms of OS and KCSS were established based on the published data of KCBM patients in the SEER database, and the model was validated internally and externally. The prediction accuracy of nomograms of OS and KCSS achieved satisfactory results. At present, this model has the ability to predict the prognosis of KCBM patients and can be used in clinical work.
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