Feeding behavior, life-history traits, and settling preference of Aulacorthum solani (Hemiptera: Aphididae) on resistant and susceptible soybeans.

Foxglove aphid, Aulacorthum solani Kaltenbach (Hemiptera: Aphididae), is a major pest worldwide. It can infest various crops, including soybean, and reduce yields. The use of insect-resistant cultivars can effectively manage pests. Dowling is a soybean cultivar that can control Aphis glycines through antibiosis and antixenosis. In this study, we investigated the feeding behavior of A. solani using electropenetrography (EPG), and its life-history traits using an age-stage, two-sex life table, and its settling preferences on Dowling (resistant) and Heinong 51 (HN51, susceptible) soybean cultivars. The Dowling cultivar showed strong antibiosis against A. solani. Aphids feeding on Dowling exhibited significantly reduced survival, fecundity, and longevity, and increased nymph duration. Moreover, Dowling had negative impacts on the demographic parameters of the aphids. The number of A. solani individuals was significantly less on Dowling than on HN51, indicating the antixenotic effects of Dowling. As shown using EPG, the mechanical blocking wave (F) of A. solani was significantly longer after feeding on Dowling than after feeding on HN51, indicating that Dowling has a higher mechanical resistance. In conclusion, Dowling exhibited strong resistance to A. solani. These results are beneficial for integrated pest management in soybean fields and breeding programs.

[Single Center Experience in Surgical Treatment of Extracranial Supra-Aortic Aneurysms].

Objective To evaluate the effect of surgical treatment on extracranial supra-aortic aneurysms and summarize the experience. Methods The clinical data of 10 patients undergoing surgical treatment of extracranial supra-aortic aneurysms from May 2019 to November 2023 in the Department of Vascular Surgery of Beijing Tiantan Hospital affiliated to Capital Medical University were collected.The 10 patients included 5 patients with internal carotid artery aneurysm,2 patients with subclavian artery aneurysm,2 patients with vertebral artery aneurysm,and 1 patient with internal carotid artery aneurysm combined with ipsilateral subclavian artery aneurysm.The surgical indications,surgical regimens,clinical efficacy,and complications were retrospectively analyzed. Results All the 10 patients underwent surgery successfully,with the surgery duration range of 60-420 min and the median surgery duration of 180.0 (121.5,307.5) min.Intraoperative bleeding volume varied within 30-400 mL,with a median of 90 (50,125) mL.The time of carotid artery blocking and vertebral artery blocking varied within the ranges of 10-20 min and 20-30 min,with the medians of 15.0 (11.5,16.3) min and 25.0 (15.0,22.5) min,respectively.No cardiac accident,cerebral infarction,or cerebral hemorrhage occurred during the perioperative period.The 10 patients were followed up for 3-58 months,with the median follow-up time of 8.5 (5.3,17.0) months.One patient with subclavian artery aneurysm developed artificial vessel occlusion 20 months after surgery.One patient with internal carotid artery aneurysm developed distal carotid artery stenosis 6 months after surgery. Conclusion Surgical treatment should be actively adopted for extracranial supra-aortic aneurysms,and individualized surgical regimens should be designed according to patient conditions.

The Methodological Quality of Observational Studies Examining the Risk of Pregnancy Drug Use on Congenital Malformations Needs Substantial Improvement: A Cross-Sectional Survey.

BACKGROUND AND OBJECTIVE: An increasing number of observational studies have investigated the risk of using drugs during pregnancy on congenital malformations. However, the credibility of the causal relationships drawn from these studies remains uncertain. This study aims to evaluate the potential methodological issues in existing observational studies. METHODS: We used a stepwise approach to investigate this issue. First, we identified observational studies published in 2020 that examined the risk of congenital malformations associated with medication use during pregnancy. We assessed the methodological characteristics for establishing causality, including study design, confounding control, and sensitivity analysis, and compared them between "core clinical journals" and "general journals." For studies reporting an increased risk of congenital malformations in core clinical journals, we searched for subsequent studies addressing the same research question published between January 2021 and May 2023 to assess the consistency of the literature. RESULTS: A total of 40 eligible studies were published in 2020, primarily focused on the safety of vitamin B12 and folic acid (n = 4), antidepressants (n = 4), and others (n = 32). Our findings suggest that only two (5.00%) studies used causal models to guide the identification of confounding, and only eight (20.00%) studies assessed the potential dose-response relationship. In all, 15 (37.50%) studies used propensity score analysis strategy to achieve "mimic-randomization." In addition, 22 studies (55.00%) performed sensitivity analyses, while 10 (45.45%) showed inconsistency with the primary outcome. Furthermore, 5 studies reported positive outcomes, whereas only 1 out of 11 studies demonstrated a positive correlation between drug usage during pregnancy and major malformations in subsequent studies. CONCLUSION: A significant portion of the studies has failed to sufficiently consider the essential methodological characteristics required to improve the credibility of causal inferences. The increased risk of congenital malformations documented in core clinical journal was not adequately replicated in subsequent studies.

Distinct brain network patterns in complete and incomplete spinal cord injury patients based on graph theory analysis.

AIMS: To compare the changes in brain network topological properties and structure-function coupling in patients with complete spinal cord injury (CSCI) and incomplete spinal cord injury (ICSCI), to unveil the potential neurobiological mechanisms underlying the different effects of CSCI and ICSCI on brain networks and identify objective neurobiological markers to differentiate between CSCI and ICSCI patients. METHODS: Thirty-five SCI patients (20 CSCI and 15 ICSCI) and 32 healthy controls (HCs) were included in the study. Here, networks were constructed using resting-state functional magnetic resonance imaging to analyze functional connectivity (FC) and diffusion tensor imaging for structural connectivity (SC). Then, graph theory analysis was used to examine SC and FC networks, as well as to estimate SC-FC coupling values. RESULTS: Compared with HCs, CSCI patients showed increased path length (Lp), decreased global efficiency (Eg), and local efficiency (Eloc) in SC. For FC, ICSCI patients exhibited increased small-worldness, clustering coefficient (Cp), normalized clustering coefficient, and Eloc. Also, ICSCI patients showed increased Cp and Eloc than CSCI patients. Additionally, ICSCI patients had reduced SC-FC coupling values compared to HCs. Moreover, in CSCI patients, the SC network's Lp and Eg values were significantly correlated with motor scores, while in ICSCI patients, the FC network's Cp, Eloc, and SC-FC coupling values were related to sensory/motor scores. CONCLUSIONS: These results suggest that CSCI patients are characterized by decreased efficiency in the SC network, while ICSCI patients are distinguished by increased local connections and SC-FC decoupling. Moreover, the differences in network metrics between CSCI and ICSCI patients could serve as objective biological markers, providing a basis for diagnosis and treatment strategies.

Analysis of the Economic Burden of Chronic Kidney Disease With Comorbidities Among Patients in Xuzhou, China.

Objectives: To analyze the costs and medication patterns of patients with chronic kidney disease (CKD) and comorbidities in Xuzhou, China, using a large electronic medical records database. Methods: Data were obtained from an electronic medical records database. The annual per-person and per-visit cost of hospitalization, as well as the proportions of those costs, are presented. Results: The majority of the participants were middle-aged men, and had medical insurance. Glomerulonephritis was the primary cause of CKD in patients with an identified etiology. The average per-visit cost of hospitalization for the CKD-renal anemia and CKD-mineral and bone disorder groups was 8,674.5 (5,154.3-13,949.6) and 8,182.6 (4,798.2-12,844.7) Yuan, respectively, which was greater than that of the other groups. The major expenses incurred were for diagnostics, drug usage, surgical procedures, laboratory tests and material costs. Conclusion: The substantial burden imposed by CKD with comorbidities indicates the importance of implementing public health strategies aimed at detecting and preventing these conditions in the general population. With the aging population, our nation may experience a greater CKD-related economic burden.

The relationship between the structural changes in the cervical spinal cord and sensorimotor function of children with thoracolumbar spinal cord injury (TLSCI).

STUDY DESIGN: Cross-sectional study. OBJECTIVES: To study the relationship between the structural changes in the cervical spinal cord (C2/3 level) and the sensorimotor function of children with traumatic thoracolumbar spinal cord injury (TLSCI) and to discover objective imaging biomarkers to evaluate its functional status. SETTING: Xuanwu Hospital, Capital Medical University, China; Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, China. METHODS: 30 children (age range 5-13 years) with TLSCI and 11 typically developing (TD) children (age range 6-12 years) were recruited in this study. Based on whether there is preserved motor function below the neurological level of injury (NLI), the children with TLSCI are divided into the AIS A/B group (motor complete) and the AIS C/D group (motor incomplete). A Siemens Verio 3.0 T MR scanner was used to acquire 3D high-resolution anatomic scans covering the head and upper cervical spinal cord. Morphologic parameters of the spinal cord at the C2/3 level, including cross-sectional area (CSA), anterior-posterior width (APW), and left-right width (LRW) were obtained using the spinal cord toolbox (SCT; https://www.nitrc.org/projects/sct ). Correlation analyses were performed to compare the morphologic spinal cord parameters and clinical scores determined by the International Standard for Neurological Classification of Spinal Cord Injuries (ISNCSCI) examination. RESULTS: CSA and LRW in the AIS A/B group were significantly lower than those in the TD group and the AIS C/D group. LRW was the most sensitive imaging biomarker to differentiate the AIS A/B group from the AIS C/D group. Both CSA and APW were positively correlated with ISNCSCI sensory scores. CONCLUSIONS: Quantitative measurement of the morphologic spinal cord parameters of the cervical spinal cord can be used as an objective imaging biomarker to evaluate the neurological function of children with TLSCI. Cervical spinal cord atrophy in children after TLSCI was correlated with clinical grading; CSA and APW can reflect sensory function. Meanwhile, LRW has the potential to be an objective imaging biomarker for evaluating motor function preservation.

Comparing various Bayesian random-effects models for pooling randomized controlled trials with rare events.

The meta-analysis of rare events presents unique methodological challenges owing to the small number of events. Bayesian methods are often used to combine rare events data to inform decision-making, as they can incorporate prior information and handle studies with zero events without the need for continuity corrections. However, the comparative performances of different Bayesian models in pooling rare events data are not well understood. We conducted a simulation to compare the statistical properties of four parameterizations based on the binomial-normal hierarchical model, using two different priors for the treatment effect: weakly informative prior (WIP) and non-informative prior (NIP), pooling randomized controlled trials with rare events using the odds ratio metric. We also considered the beta-binomial model proposed by Kuss and the random intercept and slope generalized linear mixed models. The simulation scenarios varied based on the treatment effect, sample size ratio between the treatment and control arms, and level of heterogeneity. Performance was evaluated using median bias, root mean square error, median width of 95% credible or confidence intervals, coverage, Type I error, and empirical power. Two reviews are used to illustrate these methods. The results demonstrate that the WIP outperforms the NIP within the same model structure. Among the compared models, the model that included the treatment effect parameter in the risk model for the control arm did not perform well. Our findings confirm that rare events meta-analysis faces the challenge of being underpowered, highlighting the importance of reporting the power of results in empirical studies.

Design and statistical analysis reporting among interrupted time series studies in drug utilization research: a cross-sectional survey.

INTRODUCTION: Interrupted time series (ITS) design is a commonly used method for evaluating large-scale interventions in clinical practice or public health. However, improperly using this method can lead to biased results. OBJECTIVE: To investigate design and statistical analysis characteristics of drug utilization studies using ITS design, and give recommendations for improvements. METHODS: A literature search was conducted based on PubMed from January 2021 to December 2021. We included original articles that used ITS design to investigate drug utilization without restriction on study population or outcome types. A structured, pilot-tested questionnaire was developed to extract information regarding study characteristics and details about design and statistical analysis. RESULTS: We included 153 eligible studies. Among those, 28.1% (43/153) clearly explained the rationale for using the ITS design and 13.7% (21/153) clarified the rationale of using the specified ITS model structure. One hundred and forty-nine studies used aggregated data to do ITS analysis, and 20.8% (31/149) clarified the rationale for the number of time points. The consideration of autocorrelation, non-stationary and seasonality was often lacking among those studies, and only 14 studies mentioned all of three methodological issues. Missing data was mentioned in 31 studies. Only 39.22% (60/153) reported the regression models, while 15 studies gave the incorrect interpretation of level change due to time parameterization. Time-varying participant characteristics were considered in 24 studies. In 97 studies containing hierarchical data, 23 studies clarified the heterogeneity among clusters and used statistical methods to address this issue. CONCLUSION: The quality of design and statistical analyses in ITS studies for drug utilization remains unsatisfactory. Three emerging methodological issues warranted particular attention, including incorrect interpretation of level change due to time parameterization, time-varying participant characteristics and hierarchical data analysis. We offered specific recommendations about the design, analysis and reporting of the ITS study.

Specific Alterations in Brain White Matter Networks and Their Impact on Clinical Function in Pediatric Patients With Thoracolumbar Spinal Cord Injury.

BACKGROUND: The alternation of brain white matter (WM) network has been studied in adult spinal cord injury (SCI) patients. However, the WM network alterations in pediatric SCI patients remain unclear. PURPOSE: To evaluate WM network changes and their functional impact in children with thoracolumbar SCI (TSCI). STUDY TYPE: Prospective. SUBJECTS: Thirty-five pediatric patients with TSCI (8.94 ± 1.86 years, 8/27 males/females) and 34 age- and gender-matched healthy controls (HCs) participated in this study. FIELD STRENGTH/SEQUENCE: 3.0 T/DTI imaging using spin-echo echo-planar and T1-weighted imaging using 3D T1-weighted magnetization-prepared rapid gradient-echo sequence. ASSESSMENT: Pediatric SCI patients were evaluated for motor and sensory scores, injury level, time since injury, and age at injury. The WM network was constructed using a continuous tracing method, resulting in a 90 × 90 matrix. The global and regional metrics were obtained to investigate the alterations of the WM structural network. topology. STATISTICAL TESTS: Two-sample independent t-tests, chi-squared test, Mann-Whitney U-test, and Spearman correlation. Statistical significance was set at P < 0.05. RESULTS: Compared with HCs, pediatric TSCI patients displayed decreased shortest path length (Lp = 1.080 ± 0.130) and normalized Lp (λ = 5.020 ± 0.363), and increased global efficiency (Eg = 0.200 ± 0.015). Notably, these patients also demonstrated heightened regional properties in the orbitofrontal cortex, limbic system, default mode network, and several audio-visual-related regions. Moreover, the λ and Lp values negatively correlated with sensory scores. Conversely, nodal efficiency values in the right calcarine fissure and surrounding cortex positively correlated with sensory scores. The age at injury positively correlated with node degree in the left parahippocampal gyrus and nodal efficiency in the right posterior cingulate gyrus. DATA CONCLUSION: Reorganization of the WM networks in pediatric SCI patients is indicated by increased global and nodal efficiency, which may provide promising neuroimaging biomarkers for functional assessment of pediatric SCI. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 5.

Sample size calculations for randomized controlled trials with repeatedly measured continuous variables as primary outcomes need improvements: a cross-sectional study.

OBJECTIVES: Randomized controlled trials (RCTs) with repeatedly measured continuous variables as primary outcomes are common. Although statistical methodologies for calculating sample sizes in such trials have been extensively investigated, their practical application remains unclear. This study aims to provide an overview of sample size calculation methods for different research questions (e.g., key time point treatment effect, treatment effect change over time) and evaluate the adequacy of current practices in trial design. STUDY DESIGN AND SETTING: We conducted a comprehensive search of PubMed to identify RCTs published in core journals in 2019 that utilized repeatedly measured continuous variables as their primary outcomes. Data were extracted using a predefined questionnaire including general study characteristics, primary outcomes, detailed sample size calculation methods, and methods for analyzing the primary outcome. We re-estimated the sample size for trials that provided all relevant parameters. RESULTS: A total of 168 RCTs were included, with a median of four repeated measurements (interquartile range 3-6) per outcome. In 48 (28.6%) trials, the primary outcome used for sample size calculation differed from the one used in defining the primary outcomes. There were 90 (53.6%) trials exhibited inconsistencies between the hypotheses specified for sample size calculation and those specified for primary analysis. The statistical methods used for sample size calculation in 158 (94.0%) trials did not align with those used for primary analysis. Additionally, only 6 (3.6%) trials accounted for the number of repeated measurements, and 7 (4.2%) trials considered the correlation among these measurements when calculating the sample size. Furthermore, of the 128 (76.2%) trials that considered loss to follow-up, 33 (25.8%) used an incorrect formula (i.e., N∗(1+lose rate) for sample size adjustment. In 53 (49.5%) out of 107 trials, the re-estimated sample size was larger than the reported sample size. CONCLUSION: The practice of sample size calculation for RCTs with repeatedly measured continuous variables as primary outcomes displayed significant deficiencies, with a notable proportion of trials failed to report essential parameters about repeated measurement required for sample size calculation. Our findings highlight the urgent need to use optimal sample size methods that align with the research hypothesis, primary analysis method, and the form of the primary outcome.

Structural changes in the thalamus and its subregions in regulating different symptoms of posttraumatic stress disorder.

As a key center for sensory information processing and transmission, the thalamus plays a crucial role in the development of posttraumatic stress disorder (PTSD). However, the changes in the thalamus and its role in regulating different PTSD symptoms remain unclear. In this study, fourteen PTSD patients and eighteen healthy controls (HCs) were recruited. All subjects underwent whole-brain T1-weighted three-dimensional Magnetization Prepared Rapid Gradient Echo Imaging scans. Gray matter volume (GMV) in the thalamus and its subregions were estimated using voxel-based morphometry (VBM). Compared to HCs, PTSD patients exhibited significant GMV reduction in the left thalamus and its subregions, including anterior, mediodorsal, ventral-lateral-dorsal (VLD), ventral-anterior, and ventral-lateral-ventral (VLV). Among the significantly reduced thalamic subregions, we found positive correlations between the GMV values of the left VLD and VLV and the re-experiencing symptoms score, arousal symptoms score, and total CAPS score. When using the symptom-related GMV values of left VLV and VLD in combination as a predictor, receiver operating characteristic (ROC) analysis revealed that the area under the curve (AUC) for binary classification reached 0.813. This study highlights the neurobiological mechanisms of PTSD related to thalamic changes and may provide potential imaging markers for diagnosis and therapy targets.

Comparison of statistical methods for integrating real-world evidence in a rare events meta-analysis of randomized controlled trials.

Rare events meta-analyses of randomized controlled trials (RCTs) are often underpowered because the outcomes are infrequent. Real-world evidence (RWE) from non-randomized studies may provide valuable complementary evidence about the effects of rare events, and there is growing interest in including such evidence in the decision-making process. Several methods for combining RCTs and RWE studies have been proposed, but the comparative performance of these methods is not well understood. We describe a simulation study that aims to evaluate an array of alternative Bayesian methods for including RWE in rare events meta-analysis of RCTs: the naïve data synthesis, the design-adjusted synthesis, the use of RWE as prior information, the three-level hierarchical models, and the bias-corrected meta-analysis model. The percentage bias, root-mean-square-error, mean 95% credible interval width, coverage probability, and power are used to measure performance. The various methods are illustrated using a systematic review to evaluate the risk of diabetic ketoacidosis among patients using sodium/glucose co-transporter 2 inhibitors as compared with active-comparators. Our simulations show that the bias-corrected meta-analysis model is comparable to or better than the other methods in terms of all evaluated performance measures and simulation scenarios. Our results also demonstrate that data solely from RCTs may not be sufficiently reliable for assessing the effects of rare events. In summary, the inclusion of RWE could increase the certainty and comprehensiveness of the body of evidence of rare events from RCTs, and the bias-corrected meta-analysis model may be preferable.

[Clinical Effect of Surgical Reconstruction of Extracranial Vertebral Artery].

Objective To evaluate the effect of surgical reconstruction of extracranial vertebral artery and to summarize the experience. Methods The clinical data of 15 patients undergoing surgical reconstruction of extracranial vertebral artery from September 2018 to June 2022 were collected.The operation methods,operation duration,intraoperative blood loss,operation complications,and relief of symptoms were retrospectively analyzed. Results Eleven patients underwent vertebral artery (V1 segment) to common carotid artery transposition,two patients underwent endarterectomy of V1 segment,two patients underwent V3 segment to external carotid artery bypass or transposition.The operation duration,intraoperative blood loss,and blocking time of common carotid artery varied within 120-340 min,50-300 ml,and 12-25 min,with the medians of 240 min,100 ml,and 16 min,respectively.There was no cardiac accident,cerebral hyperperfusion syndrome,cerebral hemorrhage or lymphatic leakage during the perioperative period.One patient suffered from cerebral infarction and three patients suffered from incomplete Horner's syndrome after the operation.During the follow-up (4-45 months,median of 26 months),there was no anastomotic stenosis,new cerebral infarction or cerebral ischemia. Conclusion Surgical reconstruction of extracranial vertebral artery is safe and effective,and individualized reconstruction strategy should be adopted according to different conditions.

Recent advances in hierarchical MoS2/graphene-based materials for supercapacitor applications.

Hierarchical MoS2/graphene (MoS2/G) has been widely researched in energy storage via supercapacitors. The combination of MoS2 with graphene not only provides high conductivity but also enhances the structural stability, which are critical factors determining the electrochemical performance for energy storage. In this review, the recent development of various hierarchical MoS2/G nanostructures in supercapacitor applications is summarized by classifying the materials into MoS2/G nanospheres, MoS2/G nanosheets, and MoS2/G-based ternary composite. The description of the structural characteristics and electrochemical performance gives a clear and profound understanding of hierarchical MoS2/G nanostructures as a supercapacitor material. In addition, further research prospects of hierarchical MoS2/G are suggested.

Projected burden of stroke in China through 2050.

BACKGROUND: Stroke is the leading cause of death in China, and predicting the stroke burden could provide essential information guiding the setting of medium- and long-term health policies and priorities. The study aimed to project trends associated with stroke burden in China through 2050, not only in terms of incidence and mortality but also for prevalence and disability-adjusted life years (DALYs). METHODS: Data on stroke rates in incidence, prevalence, deaths, and DALYs in China between 1990 and 2019 were obtained from a recent Global Burden of Disease study. Demographic-specific trends in rates over time were estimated using three models: the loglinear model, the Lee-Carter model, and a functional time series model. The mean absolute percentage error and the root mean squared error were used for model selection. Projections up to 2050 were estimated using the best fitting model. United Nations population data were used to project the absolute numbers through 2050. RESULTS: From 2019 to 2050, the crude rates for all measures of the stroke burden are projected to increase continuously among both men and women. We project that compared with those in 2019, the incidence, prevalence, deaths, and DALYs because of stroke in China in 2050 will increase by 55.58%, 119.16%, 72.15%, and 20.04%, respectively; the corresponding increases in number were 2.19, 34.27, 1.58, and 9.21 million. The age-standardized rate is projected to substantially decline for incidence (8.94%), death (40.37%), and DALYs (43.47%), but the age-standardized prevalence rate is predicted to increase by 10.82%. By 2050, the burden of stroke among the population aged ≥65 years will increase significantly: by 104.70% for incidence, by 218.48% for prevalence, by 100.00% for death, and by 58.93% for DALYs. CONCLUSIONS: With the aging population in China increasing over the next three decades, the burden of stroke will be markedly increased. Continuous efforts are needed to improve stroke health care and secondary prevention, especially for older adults.

DRAXIN as a Novel Diagnostic Marker to Predict the Poor Prognosis of Glioma Patients.

An increasing number of evidences have shown that the carcinogenic effect of DRAXIN plays an important role in the malignant process of tumors, but the mechanism of its involvement in glioma has not yet been revealed. The main aim of this study is to explore the relationship between DRAXIN and the prognosis and pathogenesis of glioma through a large quality of data analysis. Firstly, thousands of tissue samples with clinical information were collected based on various public databases. Then, a series of bioinformatics analyses were performed to mine data from information of glioma samples extracted from several reputable databases to reveal the key role of DRAXIN in glioma development and progression, with the confirmation of basic experiments. Our results showed that high expression of the oncogene DRAXIN in tumor tissue and cells could be used as an independent risk factor for poor prognosis in glioma patients and was strongly associated with clinical risk features. The reverse transcription-quantitative PCR technique was then utilized to validate the DRAXIN expression results we obtained. In addition, co-expression analysis identified, respectively, top 10 genes that were closely associated with DRAXIN positively or negatively. Finally, in vitro experiments demonstrated that knockdown of DRAXIN significantly inhibited proliferation and invasion of glioma cell. To sum up, this is the first report of DRAXIN being highly expressed in gliomas and leading to poor prognosis of glioma patients. DRAXIN may not only benefit to explore the pathogenesis of gliomas, but also serve as a novel biological target for the treatment of glioma.

Effects of acupuncture at acupoints with lower versus higher pain threshold for knee osteoarthritis: a multicenter randomized controlled trial.

BACKGROUND: The acupoint selections impact the effects of acupuncture, and preliminary evidence showed potential connection between pain threshold (PT) and acupuncture response. This study examined whether acupuncture at acupoints with lower PT versus higher PT would yield different effects in patients with knee osteoarthritis (KOA). METHODS: In this multicenter randomized clinical trial, patients were randomly assigned (1:1:1) to receive acupuncture at acupoints with lower PT (LPT group), acupuncture at acupoints with higher PT (HPT group), and no acupuncture (waiting-list group). PT was measured with electronic von Frey detector. The primary outcome was the change in WOMAC total score from baseline to 16 weeks, and the secondary outcomes were SF-12 score, and active knee range of motion (ROM). Intention-to-treat analysis was conducted with linear mixed-effect model. RESULTS: Among 666 randomized patients, 625 (93.84%) completed the study. From baseline to 16 weeks, patients in the LPT group versus HPT group had similar effects in reducing WOMAC total score (adjusted mean difference (MD) 2.21, 95% confidence interval (CI) -2.51 to 6.92, P = 0.36), while a greater reduction in WOMAC total score was observed in LPT group (-9.77, 95% CI -14.47 to -5.07, P < 0.001) and HPT group (-11.97, 95% CI -16.71 to -7.24, P < 0.001) compared with waiting-list group. There were no differences in SF-12 score and knee ROM between LPT versus HPT groups. CONCLUSION: Our findings found that the effects of acupuncture at acupoints with lower versus higher PT were similar, both were effective for patients with KOA. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03299439. Registered 3 October 2017, https://clinicaltrials.gov/ct2/show/NCT03299439.

Missing data were poorly reported and handled in randomized controlled trials with repeatedly measured continuous outcomes: a cross-sectional survey.

BACKGROUND AND OBJECTIVES: Missing data are common in randomized controlled trials (RCTs) involving repeatedly measured continuous outcomes. Evidence on the reporting and handling of such outcome data is lacking, which has prevented further improvement in methods and reporting of RCTs. METHODS: We searched PubMed to identify RCTs published in the Core Clinical Journals in 2019 that reported a continuous primary outcome with repeated measures. A team of investigators conducted a study screening and collected data using pilot-tested, standardized questionnaires from a random sample of eligible RCTs. We thoroughly collected information about the reporting of missing data for the repeatedly measured continuous outcome and the methods used to handle the missing data. RESULTS: We included 200 eligible trials, whose mean number of repeated measures for the continuous primary outcomes was 5.46 (SD = 3.4). Sixty-one (30.5%) trials explicitly reported missing data at both participant and outcome levels, 116 (58.0%) at the participant level only, and 2 (1.0%) at the outcome level only. Sixty (30.0%) trials reported missing data at the participant level by group and by time point, and 53 (26.5%) at the outcome level by group and by time point. Among 179 trials having reported missing data, 162 (90.5%) did not assess the balance of baseline characteristics, 143 (79.9%) did not assume missing mechanism; 65 (36.3%) used suboptimal methods for handling missing data (e.g., complete case analysis); 41 (22.9%) conducted sensitivity analyses, and 5 (11.9%) assumed alternative missing mechanisms for sensitivity analyses. CONCLUSION: The reporting of missing data for repeatedly measured continuous outcomes were inadequate and the use of statistical methods for handling missing data was far from optimal. Substantial efforts are warranted to improve the reporting and statistical handling of these outcome data.

CLSPN is a potential biomarker associated with poor prognosis in low-grade gliomas based on a multi-database analysis.

BACKGROUND: The oncogene CLSPN, also known as claspin, has regulatory effects in a variety of tumours; however, it is not clear whether CLSPN is a therapeutic target in low-grade gliomas (LGG). In this study, the prognostic value of CLSPN in LGG and its role as an immunotherapeutic target were evaluated. METHODS: Transcriptome and methylation data for thousands of patients with glioma were collected from various databases, including The Cancer Genome Atlas, Chinese Glioma Genome Atlas, and Gene Expression Omnibus. Subsequently, a series of bioinformatics methods were used to evaluate the relationships between CLSPN and prognosis, clinical features, methylation status, immune cells, and molecular signaling pathways in LGG. RESULTS: CLSPN expression levels were positively correlated with major malignant characteristics of LGG, and low expression of CLSPN was associated with a better prognosis. The methylation sites cg04263115 and cg06100291 negatively regulated the expression of CLSPN, and increased methylation levels at these sites were related to a longer survival time in patients with LGG. CLSPN was positively correlated with tumour-infiltrating immune cells and showed high copy number variation in these cells. There was a positive regulatory relationship between CLSPN expression and programmed death-1 (PD-1) and programmed cell death ligand 1 (PD-L1). A gene set enrichment analysis revealed that CLSPN activates a variety of cancer signaling pathways. CONCLUSION: CLSPN was identified as an independent risk factor for LGG with excellent prognostic value.

ITGB3BP is a potential biomarker associated with poor prognosis of glioma.

Despite the growing recognition of ITGB3BP as an essential feature of various cancers, the relationship between ITGB3BP and glioma remains unclear. The main aim of this study was to determine the prognostic and diagnostic value of ITGB3BP in glioma. RNA-Seq and microarray data from 2222 glioma patients were included, and we found that the expression level of ITGB3BP in glioma tissues was significantly higher than that in normal brain tissues. Moreover, ITGB3BP can be considered an independent risk factor for poor prognosis and has great predictive value for the prognosis of glioma. Gene Set Enrichment Analysis results showed that ITGB3BP contributes to the poor prognosis of glioma by activating tumour-related signalling pathways. Some small-molecule drugs were identified, such as hexestrol, which may specifically inhibit ITGB3BP and be useful in the treatment of glioma. The TIMER database analysis results revealed a correlation between the expression of ITGB3BP and the infiltration of various immune cells in glioma. Our findings provide the first evidence that the up-regulation of ITGB3BP correlates with poor prognosis in human glioma. Thus, ITGB3BP is a potential new biomarker that can be used for the clinical diagnosis and treatment of glioma.