Objective To explore the value of chemosensitivity assay in vitro on breast cancer. Methods In vitro chemosensitivity of 6 species of chemotherapeutic agents applied to 38 cases of breast cancer patients were detected by tissue culture-end point staining-computer image analysis (TECIA). Results The sensitivity to chemotherapeutic agents commonly used in the breast cancer level from high to low was as follow: Doxorubicin (ADM), Paclitaxel (TAX), Vinorelbine (NVB), Cyclophosphamide (CTX), Cisplatin (DDP) and Fluorouracil (FU). Conclusion Drugs sensitivity experiment of cancer in vitro by TECIA has an important value to instruct clinical medication and individual chemotherapy for breast cancer.
ObjectiveTo review individual treatment effect (ITE) models developed from randomized controlled trials, with the aim of systematically summarizing the current state of model development and assessing the risk of bias. MethodsPubMed and Embase databases were searched for studies published between 1990 and 14 June 2024. Data were extracted using the CHARMS inventory, and the PROBAST risk of bias tool was used to assess model quality. ResultsA total of 11 publications were included, containing 19 ITE models. The ITE modelling methods were regression models with interaction terms (n=8, 42.1%), dual-range models (n=5, 26.3%) and machine learning (n=6, 31.6%). The ITE models had a reporting rate of 78.9%, 73.2% and 10.5% for differentiation, calibration and clinical validity, respectively. Fourteen models were assessed as having a high risk of bias (73.7%), particularly in the area of statistical analysis, due to inappropriate handling of missing data (n=15, 78.9%), inappropriate consideration of model fit issues (n=5, 26.3%), etc. ConclusionCommon approaches to ITE model development include constructing interaction terms, dual procedure theory, and machine learning, but suffer from a low number of model developments, more complex modeling methods, and non-standardized reporting. In the future, emphasis should be placed on further exploration of ITE models, promoting diversified modeling methods and standardized reporting to improve the clinical promotion and practical application value of the models.
This is the seventh paper in the evidence-based medicine glossary series. In this paper, We mainlyintroduced five terms related to meta-analysis——prospective meta-analysis, individual patient data meta-analysis,cumulative meta-analysis, multiple-treatments meta-analysis and meta regression.We also gave some examples to helpreaders better understand and use them.
ObjectiveTo investigate diagnosis and treatment of rupture of pancreatic cystic disease. MethodThe clinical data of 20 patients who were diagnosed as pancreatic cystic disease combined with rupture in the First Affiliated Hospital of Harbin Medical University from June 2011 to December 2015 were analyzed retrospectively. Results① For the 5 patients with pancreatic cystic tumor, 3 patients of them received distal pancreatectomy and 2 patients of them received Whipple procedure. For the 15 patients with pancreatic pseudocyst, 2 patients received ultrasound-guided cyst puncture and drainage, 2 patients received endoscopic retrograde pancreatic drainage (ERPD), 2 patients received ERPD plus ultrasound-guided cyst puncture and drainage, 1 patient received pancreatic external drainage, 3 patients received pancreatic cyst-gastric anastomosis, 5 patients received pancreatic cyst-jejunal Roux-en-Y anastomosis. ② Pancreatic fistula occurred in 3 patients (Grade A 2 cases, Grade B 1 case), delayed gastric emptying was found in 1 patient, peritoneal effusion occurred in 1 patient. ③ Eighteen of them were followed up from 3 to 60 months with an average 25.6 months, 2 patients recurred and non-surgical treatments were taken. ConclusionsHow to correctly identify pancreatic cystic tumor with pancreatic pseudocyst is premise of treatment. Pancreatic cystic disease combined with rupture requires urgent therapy. Based on clinical manifestations, optimal selection might achieve a better prognosis.
Network meta-analysis (NMA) is a statistical technique that integrates data from multiple clinical studies and compares the efficacy and safety of multiple interventions, which can provide pro and con ranking results for all intervention options in the evidence network and provide direct evidence support for clinical decision-making. At present, NMA is usually based on the aggregation of the same type of data set, and there are still methodological and software difficulties in achieving cross-study design and cross-data format data set merging. The crossnma package of R programming language is based on Bayesian framework and Markov chain Monte Carlo algorithm, extending the three-level hierarchical model to the standard NMA data model to achieve differential merging of varied data types. The crossnma package fully considers the impact of risk bias caused by the combination of different types of data on the results by introducing model variables. In addition, the package provides functions such as result output and easy graphing, which makes it possible to combine NMA across study designs and evidence across data formats. In this study, the model based on crossnma package method and software operation will be demonstrated and explained through the examples of four individual participant datasets and two aggregate datasets.
ObjectiveSystemic lupus erythematosus (SLE) patients from a SLE family with homogeneity can provide experimental basis for individualized diagnosis and treatment by studying the characteristics of laboratory tests and symptoms. MethodsLaboratory tests were analyzed for three SLE patients in the family, and set up the screen model by three laboratory tests (anitnuclear antibody positive, rheumatoid factor positive and IgE positive, ANA+RF+IgE+). All SLE cases were screened from latest four years as SLE subtype patients (named "similar family SLE patients"), then the family laboratory tests and clinical characteristics were analyzed. ResultsA total of 55 patients (6.27%) were screened as similar family SLE patients from individual SLE patients according to model from 877 cases. The laboratory tests of similar family SLE patients including creatinine, WBC, CRP were significant lower than other SLE patients (P < 0.05), but significant higher for the IgG, positive rate of anti-SSA and anti-SSB (P < 0.05), and the alopecia and skin rashes were more common in similar family SLE patients than other SLE patients. ConclusionsThe ANA+RF+IgE+ SLE patients are of lower inflammatory state and kidney involvement; Clinical symptom is priority to alopecia and skin rashes.
During transfer tasks, the dual-arm nursing-care robot require a human-robot mechanics model to determine the balance region to support the patient safely and stably. Previous studies utilized human-robot two-dimensional static equilibrium models, ignoring the human body volume and muscle torques, which decreased model accuracy and confined the robot ability to adjust the patient’s posture in three-dimensional spatial. Therefore, this study proposes a three-dimensional spatial mechanics modeling method based on individualized human musculoskeletal multibody dynamics. Firstly, based on the mechanical features of dual-arm support, this study constructed a foundational three-dimensional human-robot mechanics model including body posture, contact position and body force. With the computed tomography data from subjects, a three-dimensional femur-pelvis-sacrum model was reconstructed, and the individualized musculoskeletal dynamics was analyzed using the ergonomics software, which derived the human joint forces and completed the mechanic model. Then, this study established a dual-arm robot transfer platform to conduct subject transfer experiments, showing that the constructed mechanics model possessed higher accuracy than previous methods. In summary, this study provides a three-dimensional human-robot mechanics model adapting to individual transfers, which has potential application in various scenarios such as nursing-care and rehabilitating robots.
Objective To study digitize design of custom-made radial head prosthesis and to verify its matching precision by the surgery of preoperative three-dimensional (3-D) virtual replacement. Methods Six healthy adult volunteers (3 males and 3 females, aged 25-55 years with an average of 33 years) received slice scan of bilateral elbow by Speed Light 16-slice spiral CT. The CT Dicom data were imported into Mimics 10.0 software individually for 3-D reconstruction image, and the left proximal radial 3-D image was extracted, the mirror of the image was generated and it was split into 2 pieces: the head and the neck. The internal diameter and the length of the radial neck were obtained by Mimics 10.0 software measurement tools. In Geomagic Studio 12 software, the radial head was simulated to cover the cartilage surface (1 mm thickness) and generated to an entity. In UG NX 8.0 software, the stem of prosthesis was designed according to the parameters above and assembled head entity. Each custom-made prosthesis was performed and verified its matching precision by the surgery of preoperative 3-D virtual replacement. Results Comparing the morphology of 6 digitize custom-made prostheses with ipsilateral radial heads by the 3-D virtual surgery, the error was less than 1 mm. The radial head prosthesis design on basis of the contralateral anatomy was verified excellent matching. Conclusion The 3-D virtual surgery test and the digitized custom-made radial head prosthesis will be available for clinical accurate replacement.
ObjectiveTo explore a new method of treating serious tibiofibula comminuted fracture by using three-dimensional (3-D) printing personalized external fixator. MethodsIn April 2015, a male patient (aged 18 years with a height of 171 cm and a weight of 67 kg) with left tibiofibula comminuted fracture was included in the study. Computer-assisted reduction technique combined with 3-D printing was used to develop a customised personalized external fixator for fracture reduction. The effectiveness was observed. ResultsThe operation time was about 10 minutes without fluoroscopy, and successful reduction was obtained. The patient had equal limb length after operation. X-ray films showed that the posterior angulation of distal fracture was corrected 37°, and the eversion angle was corrected 4°. The tibial fractures had good paraposition or alignment, and the lower limb force line was corrected completely. No new fracture displacement occurred. The clinical healing time of fracture was 3.5 months and the bone union was achieved after 8 months. The function of affected limb recovered well after operation. ConclusionA personalized external fixator for serious tibiofibula comminuted fracture reduction made by 3-D printing technique has the merits of easy manipulation, high individuation, accurate reduction, stable fixation, and no need of fluoroscopy.
Time-to-event outcomes are a key component in survival analyses. Effect modification by time, also known as interaction between effect and time, can exist in time-to-event data and influence the analysis process. Our objective is to discuss the proper methods to conduct evidence synthesis of time-to-event data when effect modification by time exists.