ObjectiveTo systematically review the influencing factors of breast cancer patients in treatment decision-making. MethodsWeb of Science, PubMed, EMbase, The Cochrane Library, JBI Evidence Synthesis, CINAHL, CNKI, WanFang Data, VIP and CBM databases were electronically searched to collect qualitative studies about the influencing factors of breast cancer patients in treatment decision-making from inception to October 2021. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Then, the results were combined using integrating methods. ResultsA total of 13 studies were included. Sixty-seven results were extracted, with 22 results retained after incorporation and removal of duplications. The 22 results were grouped according to their similarities to form 6 categories. These categories resulted in two synthesized findings: influencing factors of patient participation in treatment decision-making and integration results and influencing factors of patients' treatment options. ConclusionBreast cancer patient participation in treatment decisions is influenced not only by internal factors, but also by family and external situational factors. When patients choose treatment, they consider not only their personal values and preferences, but also the impact of treatment on their families and their expectations. The choice is also influenced by social and cultural aspects.
Lumbar spondylolisthesis is a common condition in spinal surgery, which is often characterized by lower back and leg pain and numbness. There are various treatment methods for this condition, and different treatment plans should be adopted according to different situations. Traditional open surgery methods are relatively traumatic and have longer recovery times, while minimally invasive spine techniques have advantages such as smaller incisions, less bleeding, higher fusion rates, and faster recovery. This review summarizes the relevant literature on the application of minimally invasive techniques in the treatment of lumbar spondylolisthesis in recent years, analyzes and compares the advantages and disadvantages of different approaches and endoscopic techniques, as well as reduction, decompression, and fusion effects. The aim is to provide reference for surgeons in selecting surgical procedures for the treatment of lumbar spondylolisthesis.
Objective To analyze the clinical effect of TINAVI robotic system-assisted pedicle screw internal fixation for thoracolumbar fracture with a Thoracolumbar Injury Classification and Severity Score (TLICS) of 4. Methods A total of 38 patients with TLICS 4 thoracolumbar fracture treated between January 2019 and January 2021 who met the selection criteria of Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital were retrospectively analyzed. According to the results of doctor-patient communication, 18 cases were treated with robot-assisted minimally invasive surgery (robot group), and 20 cases were treated with traditional conservative treatment (non-surgical group). Complications during hospitalization were observed. After discharge, the patients in the two groups were followed up by telephone and outpatient clinic. The Visual Analogue Scale (VAS) score at admission, at discharge, and 3 and 6 months after discharge, and the Oswestry Disability Index (ODI) score 3 and 6 months after discharge were compared between the two groups. Results There were no statistically significant difference in age, sex, body mass index or distribution of injured vertebrae segment between the two groups (P>0.05). No serious complication occurred in any group during hospitalization. The difference in the length of hospital stay between the two groups was not statistically significant (P>0.05). The bed rest in the robot group was shorter than that in the non-surgical group [(4.83±0.92) vs. (43.05±2.70) d, P<0.05]. The VAS scores at discharge (2.50±0.51 vs. 5.05±1.00), 3 months after discharge (1.83±0.71 vs. 3.10±0.72) and 6 months after discharge (1.50±0.51 vs. 1.90±0.79) in the robot group were lower than those in the non-surgical group (P<0.05). The ODI scores 3 months after discharge (21.89±1.41 vs. 30.40±3.00) and 6 months after discharge (10.72±2.37 vs. 12.10±2.29) in the robot group were significantly lower than those in the non-surgical group (P<0.05). Conclusion For patients with TLICS 4 thoracolumbar fracture, the early clinical effect of robot-assisted surgical treatment is better than that of non-surgical treatment.