ObjectivesTo assess the methodological quality of clinical practice guidelines of cervical cancer in China published from 2014 to 2018.MethodsCNKI, WanFang Data, CBM, VIP, Medlive.cn, the National Guideline Clearinghouse, PubMed, The Cochrane Library and EMbase were searched for cervical cancer clinical practice guidelines published in China from January 1st, 2014 to December 31st, 2018. Four reviewers searched and selected the literature independently according to the inclusion and exclusion criteria and assessed the methodological quality of the included guidelines by using AGREE Ⅱ.ResultsA total of 9 guidelines were included. The average score for each area was: scope and purpose 75.47%, stakeholders’ involvement 35.09%, the rigor of development 43.70%, clarity of presentation 87.74%, applicability 80.76%, and editorial independence 0%.ConclusionsThe quality of cervical cancer clinical practice guidelines in China requires further improvement.
Mitochondrial quality control includes mechanisms such as mitochondria-derived vesicles, fusion / fission and autophagy. These processes rely on the collaboration of a variety of key proteins in the inner and outer membranes of mitochondria to jointly regulate the morphological structure and functional integrity of mitochondria, repair mitochondrial damage, and maintain the homeostasis of their internal environment. The imbalance of mitochondrial quality control is associated with leukemia. Therefore, by exploring the mechanisms related to mitochondrial quality control of various leukemia cells and their interactions with immune cells and immune microenvironment, this article sought possible targets in the treatment of leukemia, providing new ideas for the immunotherapy of leukemia.
This article aims to interpret the consensus report of the 30th Acute Disease Quality Initiative (ADQI) workgroup on hemoadsorption (HA) technology, providing reference for clinical practice and research. HA has shown therapeutic advantages in various diseases. The ADQI workgroup assessed the research progress of HA technology, confirming its clinically acceptable short-term biocompatibility, safety, and technical feasibility, as well as experimental demonstration of specified target molecule removal. Preliminary studies have shown a potential benefit of endotoxin-based HA in sepsis. However, due to insufficient clinical evidence, HA is still considered an experimental intervention. The ADQI consensus report focuses on filling existing knowledge gaps, pointing out future research directions, and providing important guidance for the clinical application and further research of HA technology.
Objective To evaluate the effect of sensory disturbance after the sagittal split ramus osteotomy (SSRO）on quality of life. Methods From September2004 to September 2005, 21 patients undergoing SSRO were studied by using questionnaires. There were 12 males and 9 females, aging 1927 years(mean 22.6 years).The patients were followed up at 4 weeks and 24 weeks after operation. The subjective questionnaire was completed by patient to evaluate the degree of living quality descending. Results At 4 weeks,19(90.48%) patients’ living quality descended because of postoperative sensory disturbance. Among them, 7(33.33%) patients had severe descending of living quality. The average effecting time of living accounted for total time 26.9%(about 6.5 h/d). At 24 weeks, 12(6316%) patients’ living quality descended because of postoperative sensory disturbance, 7(36.84%) patients could achieve preoperative living quality. The average effecting time of living accounted for total time 15.5%(about 3.7 h/d). Conclusion Most patients have descending of living quality after SSRO because of sensory disturbance. However, this condition can be improved during the followup and more than 1/3 patients canachieve their preoperative living quality.
Currently, the medical imaging methods based on artificial intelligence are developing rapidly, and the related literature reports are increasing year by year. However, there is no special reporting standard, and the reporting of the results is not standardized. In order to improve the report quality of this kind of research and help readers and evaluators evaluate the quality of this kind of research more scientifically, a checklist for artificial intelligence in medical imaging (CLAIM) was put forward abroad. This paper introduces the content of CLAIM and explains its items.