Objective To evaluate the reporting quality and influencing factors of patient-reported outcome (PRO) data in randomized controlled trials (RCTs) of lung cancer. Methods RCTs of lung cancer with PRO as either primary or secondary endpoints were searched from PubMed, EMbase, Medline, CNKI, Wanfang Data, and VIP databases between January 1, 2010 and April 20, 2024. Reporting quality of included RCTs were assessed based on the CONSORT-PRO extension. Descriptive statistics and bivariate regression analysis were used to describe the reporting quality and analyze the factors influencing the reporting quality. Results A total of 740 articles were retrieved. After screening, 53 eligible RCTs of lung cancer with 22 780 patients were included. The patients were mainly with non-small cell lung cancer (84.91%), with the median sample size of the included studies was 364.0 (160.5, 599.5) patients. The primary PRO tool used was the EORTC QLQ-C30 (60.38%). There were 52 (98.11%) studies whose PRO measured the domain of "symptom management of cough, dyspnea, fatigue, pain, etc.", and 45 (84.91%) studies measured "health-related quality of life". Multicenter studies accounted for 84.91%, and randomized non-blind trials accounted for 62.26%. PRO was used as the primary endpoint in 33.96% of the studies and as secondary endpoints in 66.04%. The reliability and validity of the PRO tools were explicitly mentioned in 11.32% and 7.55% of the studies, respectively. The average completeness of reporting according to the CONSORT-PRO guidelines was 60.00%, ranging from 25.00% to 93.00%. The main factors affecting the completeness of CONSORT-PRO reporting included sample size and publication year. For every increment in sample size, the completeness of reporting increased by 27.5% (SE=0.00, t=2.040, P=0.046). Additionally, studies published after 2018 had a 67.2% higher completeness of reporting compared to those published in or before 2018 (SE=17.8, t=–3.273, P=0.006). Conclusion The study reveals that the overall reporting quality of PRO in lung cancer RCTs is poor. Particularly, the reporting of PRO measures reliability and validity, PRO assumptions, applicability, and handling of missing data need further improvement. Future research should emphasize comprehensive adherence to the CONSORT-PRO guidelines.

Objective To study the effectiveness of combining antidepressant drug with high-frequency repeated transcranial magnetic stimulation(rTMS)in treating adolescent depression and explore its impact on electroencephalogram.Methods 60 cases of adolescent depression,who admitted to Department of Psychiatry,the First Affiliated Hospital of Kunming Medical University from September to December 2024 were selected and randomly divided into control group and observation group,with 30 cases in each group.Patients of control group were treated with selective serotonin reuptake inhibitor(SSRI),while patients of observation group received the same SSRI treatment in addition to high-frequency rTMS.The treatment lasted for 2 weeks.Both groups were assessed by using 24-item Hamilton depression rating scale(HAMD-24)and depression self-rating scale for children(DSRSC)before the start of treatment and at the end of two weeks of treatment.Adverse reactions were recorded throughout the treatment,and electroencephalogram monitoring was taken before and after treatment.Results Observation group showed a significantly higher treatment response rate compared to control group(P<0.05).After two weeks of treatment,HAMD-24 and DSRSC scores in observation group were notably lower than those in control group(P<0.01).Both groups exhibited improvements in brain wave power(δ,θ,α,β)after treatment(P<0.05),with observation group demonstrating superior β wave power compared to control group(P<0.01).Additionally,a negative correlation was found between α and β wave power in the left frontal region and DSRSC scores in observation group(P<0.05).There was no statistically significant difference in the incidence of adverse reactions between two groups(P>0.05).Conclusion Compared with SSRI treatment,rTMS combined with SSRI treatment can more effectively improve depressive symptoms,increase α and β brainwave power,and the combination therapy does not increase the incidence of adverse reactions,demonstrating good safety.

BACKGROUND:The combination of traditional Chinese medicine syndrome and semen quality-related parameters can jointly predict the occurrence of abnormal increase in sperm DNA fragmentation index (DFI) and draw a column chart,which can significantly improve clinical practicality and application efficiency,provide a basis for comprehensive evaluation of semen quality in clinical practice,take active intervention measures to improve clinical outcomes,and formulate personalized medical plans.OBJECTIVE:To explore the prediction model and verification of sperm DNA fragments based on traditional Chinese medicine syndrome and semen quality-related parameters.METHODS:Retrospective analysis was made on 420 infertile patients who received traditional Chinese medicine syndrome diagnosis and sperm DNA fragment rate examination in the Department of Traditional Chinese Medicine Andrology,Nanxishan Hospital of Guangxi Zhuang Autonomous Region from July 2019 to July 2021.According to the Manual of Human Semen Examination and Treatment Laboratories (6th Edition),137 patients with sperm DFI>30％ were included in the group of abnormally high sperm DFI,and 283 patients with sperm DFI ≤ 30％ were taken as the control group.First,univariate analysis was used to screen the influencing factors of the abnormal increase of sperm DFI.Then,the best matching factor was selected by using the collinearity problem of LASSO correction factors.Then,it was included in the multifactor forward stepwise logistic regression to find out its independent influencing factors and draw a nomogram.Finally,the receiver operating characteristic curve,calibration curve,decision curve analysis and clinical impact curve were used to verify the differentiation and accuracy of the prediction model and its clinical application effectiveness.RESULTS AND CONCLUSION:(1) The results of the univariate analysis showed that age,body mass index,forward motion rate,total sperm motility,sperm concentration,sperm morphology,kidney yang deficiency syndrome,damp heat downpour syndrome,and kidney sperm deficiency syndrome were the influencing factors for the abnormal increase of sperm DFI (P<0.05).(2) The best matching factors further screened by LASSO regression were age,body mass index,total sperm motility,sperm concentration,sperm morphology,kidney yang deficiency syndrome,damp heat downpour syndrome,and kidney essence deficiency syndrome (P<0.05).(3) Multifactor forward stepwise Logistic regression showed that age,body mass index,sperm concentration,total sperm motility,damp heat downpour syndrome,and kidney yang deficiency syndrome were six independent factors that caused the abnormal increase in sperm DFI.(4) Receiver operating characteristic curve showed that the area under the curve of the model group was 0.760(0.713,0.806),and the area under the curve of the validation group was 0.745(0.714,0.776).It showed that the prediction model had good discrimination.(5) The average absolute error of the calibration curve was 0.040,and the Hosmer Lemeshow test (P>0.05),suggesting that there was no significant statistical difference between the probability of the abnormal increase in DFI of spermatozoa predicted by the model and the probability of the abnormal increase in DFI of spermatozoa actually occurred,which confirmed that the model had good accuracy.(6) Decision curve analysis and clinical impact curve showed that the model group and validation group had the maximum clinical net benefit when the threshold probability values were (0.08-0.84) and (0.09-0.78) respectively,and had good clinical application efficiency within the threshold probability range.(7) These findings conclude that age,body mass index,sperm concentration,total sperm viability,damp heat downpour syndrome and kidney yang deficiency syndrome are independent factors that cause the abnormal increase in sperm DFI.The nomogram of the clinical prediction model constructed by them has good clinical prediction value and clinical application efficiency,and can provide the basis for comprehensive clinical evaluation of semen quality and individualized medical service.

BACKGROUND:The combination of traditional Chinese medicine syndrome and semen quality-related parameters can jointly predict the occurrence of abnormal increase in sperm DNA fragmentation index (DFI) and draw a column chart,which can significantly improve clinical practicality and application efficiency,provide a basis for comprehensive evaluation of semen quality in clinical practice,take active intervention measures to improve clinical outcomes,and formulate personalized medical plans.OBJECTIVE:To explore the prediction model and verification of sperm DNA fragments based on traditional Chinese medicine syndrome and semen quality-related parameters.METHODS:Retrospective analysis was made on 420 infertile patients who received traditional Chinese medicine syndrome diagnosis and sperm DNA fragment rate examination in the Department of Traditional Chinese Medicine Andrology,Nanxishan Hospital of Guangxi Zhuang Autonomous Region from July 2019 to July 2021.According to the Manual of Human Semen Examination and Treatment Laboratories (6th Edition),137 patients with sperm DFI>30％ were included in the group of abnormally high sperm DFI,and 283 patients with sperm DFI ≤ 30％ were taken as the control group.First,univariate analysis was used to screen the influencing factors of the abnormal increase of sperm DFI.Then,the best matching factor was selected by using the collinearity problem of LASSO correction factors.Then,it was included in the multifactor forward stepwise logistic regression to find out its independent influencing factors and draw a nomogram.Finally,the receiver operating characteristic curve,calibration curve,decision curve analysis and clinical impact curve were used to verify the differentiation and accuracy of the prediction model and its clinical application effectiveness.RESULTS AND CONCLUSION:(1) The results of the univariate analysis showed that age,body mass index,forward motion rate,total sperm motility,sperm concentration,sperm morphology,kidney yang deficiency syndrome,damp heat downpour syndrome,and kidney sperm deficiency syndrome were the influencing factors for the abnormal increase of sperm DFI (P<0.05).(2) The best matching factors further screened by LASSO regression were age,body mass index,total sperm motility,sperm concentration,sperm morphology,kidney yang deficiency syndrome,damp heat downpour syndrome,and kidney essence deficiency syndrome (P<0.05).(3) Multifactor forward stepwise Logistic regression showed that age,body mass index,sperm concentration,total sperm motility,damp heat downpour syndrome,and kidney yang deficiency syndrome were six independent factors that caused the abnormal increase in sperm DFI.(4) Receiver operating characteristic curve showed that the area under the curve of the model group was 0.760(0.713,0.806),and the area under the curve of the validation group was 0.745(0.714,0.776).It showed that the prediction model had good discrimination.(5) The average absolute error of the calibration curve was 0.040,and the Hosmer Lemeshow test (P>0.05),suggesting that there was no significant statistical difference between the probability of the abnormal increase in DFI of spermatozoa predicted by the model and the probability of the abnormal increase in DFI of spermatozoa actually occurred,which confirmed that the model had good accuracy.(6) Decision curve analysis and clinical impact curve showed that the model group and validation group had the maximum clinical net benefit when the threshold probability values were (0.08-0.84) and (0.09-0.78) respectively,and had good clinical application efficiency within the threshold probability range.(7) These findings conclude that age,body mass index,sperm concentration,total sperm viability,damp heat downpour syndrome and kidney yang deficiency syndrome are independent factors that cause the abnormal increase in sperm DFI.The nomogram of the clinical prediction model constructed by them has good clinical prediction value and clinical application efficiency,and can provide the basis for comprehensive clinical evaluation of semen quality and individualized medical service.

Objective To study the effectiveness of combining antidepressant drug with high-frequency repeated transcranial magnetic stimulation(rTMS)in treating adolescent depression and explore its impact on electroencephalogram.Methods 60 cases of adolescent depression,who admitted to Department of Psychiatry,the First Affiliated Hospital of Kunming Medical University from September to December 2024 were selected and randomly divided into control group and observation group,with 30 cases in each group.Patients of control group were treated with selective serotonin reuptake inhibitor(SSRI),while patients of observation group received the same SSRI treatment in addition to high-frequency rTMS.The treatment lasted for 2 weeks.Both groups were assessed by using 24-item Hamilton depression rating scale(HAMD-24)and depression self-rating scale for children(DSRSC)before the start of treatment and at the end of two weeks of treatment.Adverse reactions were recorded throughout the treatment,and electroencephalogram monitoring was taken before and after treatment.Results Observation group showed a significantly higher treatment response rate compared to control group(P<0.05).After two weeks of treatment,HAMD-24 and DSRSC scores in observation group were notably lower than those in control group(P<0.01).Both groups exhibited improvements in brain wave power(δ,θ,α,β)after treatment(P<0.05),with observation group demonstrating superior β wave power compared to control group(P<0.01).Additionally,a negative correlation was found between α and β wave power in the left frontal region and DSRSC scores in observation group(P<0.05).There was no statistically significant difference in the incidence of adverse reactions between two groups(P>0.05).Conclusion Compared with SSRI treatment,rTMS combined with SSRI treatment can more effectively improve depressive symptoms,increase α and β brainwave power,and the combination therapy does not increase the incidence of adverse reactions,demonstrating good safety.

BACKGROUND:Previous research by the research team found that domestically produced porous tantalum is beneficial for early adhesion and proliferation of MG63 cells,and can be used as a scaffold material for bone tissue engineering. OBJECTIVE:To investigate the effect of domestic porous tantalum modified by osteogenic induction factor slow-release system on the adhesion,proliferation,and differentiation of MG63 cells. METHODS:Osteogenic induction factor slow-release system was constructed by adding 15%volume fraction of osteogenic factor solution to poly(lactic-co-glycolic-acid)gel.The passage 3 MG63 cells were inoculated on a porous tantalum surface(control group),porous tantalum surface coated with poly(lactic-co-glycolic-acid)copolymer gel(gel group),and porous tantalum surface coated with osteoblastic induction factor slow-release system(slow-release system group),and co-cultured for 5 days.The surface cytoskeleton of the material was observed by phalloidine staining.Cell proliferation was detected by flow cytometry.Western blot assay and RT-qPCR were used to detect the protein and mRNA expressions of type Ⅰ collagen,osteopontin,and RUNX-2 on the surface cells of the material. RESULTS AND CONCLUSION:(1)Phalloidine staining showed that MG63 cells adhered to and grew on the surface and inside of the three groups of porous tantalum,and the matrix secreted by the cells covered the surface of the material.(2)Flow cytometry showed that the cell proliferation in the slow-release system group was faster than that in the control group and the gel group(P<0.05).(3)Western blot assay and RT-qPCR showed that the protein and mRNA expressions of type Ⅰ collagen,osteopontin,and RUNX-2 in the slow-release system group were higher than those in the control group and gel group(P<0.05).(4)The results showed that the domestic porous tantalum modified by the osteogenic induction factor slow-release system was beneficial to the adhesion,proliferation,and differentiation of MG63 osteoblasts.

Objective To summarize the best evidences for the placement and maintenance of adult infusion ports,and to provide a basis for clinical medical staff to carry out the placement and maintenance of infusion ports.Methods The evidence-based questions were constructed using PIPOST mode.According to the"6S"classification model of evidence,a computerized retrieval of academic papers concerning the best evidence for the placement and maintenance of adult infusion ports from the databases of UpToDate,BMJ Best Practice,Cochrane Library,JBI evidence-based healthcare center database,National Guidelines Clearinghouse(NGC),Center for Disease Control and Prevention(CDC),National Institute for Health and Care Excellence(NICE),Guidelines International Network(GIN),the Registered Nurses'Association of Ontario(RNAO),CINAHL,EMbase,PubMed,Intravenous Nurses Society(INS),Wanfang,CNKI,VIP,SinoMed and Yimaitong was conducted.The retrieval time period was from the establishment of the database to July 6,2023.Two researchers,who had received training in evidence-based nursing,independently evaluated the quality of the literature,screened and summarized the evidences.Results A total of 12 papers,including one paper of clinical decision analysis,5 papers of expert consensus,3 papers of clinical practice guideline,and 3 papers of evidence summary,were finally enrolled in this study.A total of 96 pieces of evidence were extracted from the included literature,and 66 pieces of evidence were ultimately synthesized,which were classified into 5 dimensions,including personnel qualifications,indications and contraindications,perioperative care,PORT maintenance,and health education.Conclusion Clinical healthcare professionals should formulate the nursing strategies based on the evidence so as to improve the safety of infusion port placement and maintenance in adult patients.

This paper reviewed the overview, assessment tools, influencing factors and intervention measures of guilt of family caregivers of dementia patients, aiming to provide reference for formulating targeted intervention measures to reduce guilt of family caregivers of dementia patients.

The Satir model, grounded in humanism and oriented towards growth, is a psychological therapy model aimed at enhancing self-esteem, improving communication, and facilitating personal integration of mind and body, achieving internal and external harmony. In recent years, the Satir model has garnered increasing attention from nursing educators and scholars. This study provides a comprehensive review of the theoretical foundations, therapeutic techniques, and applications of the Satir model in the field of nursing in China. The aim is to offer new perspectives and theoretical references for the nursing practice of the Satir model and to enrich psychological nursing methods.

Objective:To analyze and evaluate the current situation of falls in the frail elderly population, and to provide a reliable basis for formulating measures for fall prevention.Methods:CNKI, VIP Database, Wanfang Database, China Biomedical Database, PubMed, Embase, Web of Science, CINAHL, Cochrane Library, Sinomed were searched, and cross-sectional studies on falls in the frail elderly population were searched, and the search time limit was established until June 30, 2023. Two review authors independently screened studies, extracted data, assessed the risk of bias of included studies, and Meta-analyses were performed using Stata 16.0 software and RevMan5.4.Results:A total of 12 cross-sectional studies with a total sample size of 4 597 cases were included. Meta-analysis showed that the incidence of falls in the frail elderly population was 39.9% (1 834/4 597). The results of subgroup analysis showed that there was significant difference in the female, age, chronic pain, body mass index, live alone ( P<0.05). The incidence of falls in male and female was 25.9%(640/2 471) and 40.7%(1 005/2 471), respectively. The incidence of falls in the aged 60-69, 70-79 and over 80 years old was 25.7%(470/1 831), 30.6% (560/1 831) and 46.8%(857/1 831), respectively. The incidence of falls in body mass index < 18.5, 18.5-24.0, >24.0 kg/m 2 was 12.29%(63/512), 9.58%(49/512) and 19.89%(101/512), respectively. The incidence of falls in with or without chronic pain was 33.55%(181/541) and 16.03%(87/541), respectively. The incidence of falls in living alone and not living alone was 32.3%(524/1 624) and 16.9%(274/1 624), respectively. Conclusions:The incidence of falls in the frail elderly population is at a relatively high level. Women, older adults, overweight, have chronic pain and live alone have a higher incidence of falls.