Conectar
by Hongtao Li, Li Xu, Longxin An, Xiaojing Li, Linjing Zhang, Jun Liu, Kaili Zhai, Xuecheng Sun, Naibo Feng
PurposeTo evaluate whether posterior column screws penetrate the posterior cortical surface of the acetabulum when assessed using obturator oblique radiographic imaging.
MethodsComputed tomography (CT) scans were performed on the right acetabulum of 50 healthy adults to measure the angle (α) between the posterior wall of the acetabulum and the sagittal plane at the level of the femoral head’s maximal diameter. In addition, five cadaveric pelvises were subjected to C-arm fluoroscopic imaging. A 6 cm long, 1.5 mm Kirschner wire was positioned along the posterior surface of the acetabular posterior column, aligned with the greater sciatic notch, and imaged in both the 45° and α-degree obturator oblique views. The radiographic line visualized from the Kirschner wire in the obturator oblique view was defined as the posterior iliac line, and its anatomical relationship with the posterior surface of the posterior column was analyzed. Subsequently, a 2.5 mm Kirschner wire was inserted into the posterior column at the standard entry point for screw placement using an electric drill, with the wire tip intentionally positioned between the posterior iliac line and the posterior rim in the 45° obturator oblique view. The trajectory of the wire was assessed under both 45° and α-degree obturator oblique views to determine its relation to the osseous corridor.
ResultsThe measured angle between the posterior surface of the acetabular posterior column and the sagittal plane was (60.2 ± 2.5)°. In the 45° obturator oblique view, the posterior iliac line corresponded with the outer edge of the iliac crest superiorly and the outer edge of the ischium inferiorly, while the posterior wall was projected posterior to the midpoint of the posterior iliac line. In the α° obturator oblique view, the posterior iliac line maintained this alignment but intersected centrally with the posterior acetabular wall. The 2.5 mm Kirschner wire remained within the osseous corridor under the 45° view but potentially extended beyond it under the α° view.
ConclusionWhen the posterior column screw is visualized posterior to the posterior iliac line in the 45° obturator oblique view, further assessment using a α° view is necessary. If the screw appears anterior to the posterior iliac line in the α° view, it indicates that the posterior cortical surface has not been breached.
To analyse the current status of psychological resilience in Parkinson's disease (PD) patients and its correlation with social support and coping style.
A cross-sectional study.
PD patients hospitalized in a tertiary-level hospital in Shijiazhuang, Hebei Province, from March 2022 to March 2023 were selected for the study using the convenience sampling method. A general information questionnaire, psychological resilience scale, Medical Coping Modes Questionnaire and Perceived Social Support Scale were used to investigate 111 cases of PD. SPSS 25.0 software was used for statistical analysis. The data were analysed using independent samples t-test, one-way ANOVA, multiple linear regression analysis and the Pearson correlation coefficient.
Parkinson's disease patients have a moderate level of psychological resilience. The results of the Pearson correlation analyses showed that the level of psychological resilience was positively correlated with social support and confrontation and was negatively correlated with avoidance and acceptance-resignation. The results of multiple linear regression analysis showed that social support and acceptance-resignation were the influencing factors of psychological resilience in PD patients.
The psychological resilience of PD patients is at a moderate level. Social support and acceptance-resignation are the factors influencing the psychological resilience of PD patients.
This study analysed the level of psychological resilience in PD patients and its correlation with social support and coping style from the perspective of positive psychology to provide some reference for targeted clinical interventions. Our study found that social support and acceptance-resignation are influential factors in psychological resilience in PD patients. Medical staff should encourage patients to face the disease positively and their social support should be increased in order to improve their level of psychological resilience.
No patient or public contribution.
Skin temperature, including absolute temperature (at bony prominence areas under long-term compression) and relative temperature (the difference between bony prominence and adjacent control area), may serve as early warning indicators for PI. However, the optimal indicator remains unclear. This meta-analysis therefore synthesises evidence on their association with PI risk to identify the best indicator and evaluate its early-warning accuracy.
Systematic review and meta-analysis.
We included prospective cohort studies of adult patients investigating longitudinal associations between skin temperature and subsequent PI development. We pooled standardised mean difference (SMD) and odds ratios, complemented by summary receiver operating characteristic (SROC) curve analysis. The overall quality of evidence was evaluated using the GRADE method.
We researched PubMed, Embase, CINAHL, Cochrane Library (CENTRAL), Wanfang and CNKI databases from inception to September 25, 2024.
After screening 1354 titles and abstracts, ten studies comprising 1742 participants were included in the final synthesis. No significant difference in absolute temperature (combined SMD) was found between the PI and non-PI groups (seven studies included). In addition, decreased relative temperature (< −0.1°C) was associated with a 16-fold increased likelihood of PI (95% CI 6.38–40.19, I 2 = 79.4%) (three studies included), with the SROC curve analysis showing an AUC of 0.776. According to GRADE, the evidentiary certainty was very low for AT and low for RT.
Relative temperature is significantly related to the risk of PI, supporting its role as a promising early warning indicator. Future studies should establish a standardised measurement protocol to facilitate its clinical application.
Monitoring skin temperature changes holds promise as a non-invasive tool for early warning of PI risk. However, the amount and quality of available evidence limit our confidence in these findings, underscoring the need for further research before a definitive conclusion can be drawn.
This study followed PRISMA guidelines.
No patient or public contribution.
PROSPERO CRD42024550099
by Achilleas Livieratos, Maria Kudela, Yuxi Zhao, All-shine Chen, Xin Luo, Junjing Lin, Di Zhang, Sai Dharmarajan, Sotirios Tsiodras, Vivek Rudrapatna, Margaret Gamalo
BackgroundNetwork meta-analysis (NMA) can compare several interventions at once by combining head-to-head and indirect trial evidence. However, identifying, extracting, and modelling these often takes months, delaying updates in many therapeutic areas.
ObjectiveTo develop and validate MetaMind, an end-to-end, transformer-driven framework that automates NMA processes—including study retrieval, structured data extraction, and meta-analysis execution—while minimizing human input.
MethodsMetaMind integrates Promptriever, a fine-tuned retrieval model, to semantically retrieve high-impact clinical trials from PubMed; a multi-agent LLM architecture--Mixture of Agents (MoA)-- pipeline to extract PICO-structured (Population, Intervention, Comparison, Outcome) endpoints; and GPT-4o–generated Python and R scripts to perform Bayesian random-effects NMA and other NMA designs within a unified workflow. Validation was conducted by comparing MetaMind’s outputs against manually performed NMAs in ulcerative colitis (UC) and Crohn’s disease (CD).
ResultsPromptriever outperformed baseline SentenceTransformer with higher similarity scores (0.7403 vs. 0.7049 for UC; 0.7142 vs. 0.7049 for CD) and narrower relevance ranges. Promptriever performance achieved 82.1% recall, 91.1% precision and an F1 score of 86.4% when compared to a previously published NMA. MetaMind achieved 100% accuracy on a limited set of remission endpoints regarding PICO (Population, Intervention, Comparator, Outcome) element extraction and produced comparative effect estimates and credible intervals closely matching manual analyses.
ConclusionsIn our validation studies, MetaMind reduced the end-to-end NMA process to less than a week, compared with the several months typically needed for manual workflows, while preserving statistical rigor. This suggests its potential for future scaling of evidence synthesis to additional therapeutic areas.
To systematically identify and appraise existing risk prediction models for EN aspiration in adult inpatients.
A systematic search was conducted across PubMed, Web of Science Core Collection, Embase, Cochrane Library, CINAHL, China National Knowledge Infrastructure (CNKI), Wanfang Database, China Biomedical Literature Database (CBM) and VIP Database from inception to 1 March 2025.
Systematic review of observational studies.
Two researchers independently performed literature screening and data extraction using the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS). The Prediction Model Risk of Bias Assessment Tool (PROBAST) was employed to evaluate both the risk of bias and the clinical applicability of the included models.
A total of 17 articles, encompassing 29 prediction models, were included. The incidence of aspiration was 9.45%–57.00%. Meta-analysis of high-frequency predictors identified the following significant predictors of aspiration: history of aspiration, depth of endotracheal intubation, impaired consciousness, sedation use, nutritional risk, mechanical ventilation and gastric residual volume (GRV). The area under the curve (AUC) was 0.771–0.992. Internal validation was performed in 12 studies, while both internal and external validation were conducted in 5 studies. All studies demonstrated a high risk of bias, primarily attributed to retrospective design, geographic bias (all from different parts of China), inadequate data analysis, insufficient validation strategies and lack of transparency in the research process.
Current risk prediction models for enteral nutrition-associated aspiration show moderate to high discriminative accuracy but suffer from critical methodological limitations, including retrospective design, geographic bias (all models derived from Chinese cohorts, limiting global generalisability) and inconsistent outcome definitions.
Recognising the high bias of existing models, prospective multicentre data and standardised diagnostics are needed to develop more accurate and clinically applicable predictive models for enteral nutrition malabsorption.
Not applicable.
PROSPERO: CRD420251016435
Frailty affects over 35% of maintenance haemodialysis (MHD) patients globally—2–3 times higher than the general elderly—and is strongly linked to higher mortality, hospitalisation, and functional decline. Despite its clinical impact, frailty is often underdiagnosed in dialysis settings due to inconsistent assessments and limited resources. Existing prediction models vary widely in predictors and methods, requiring systematic review to guide clinical use and improve risk-stratified care.
To systematically identify, describe, and evaluate the existing risk prediction models for frailty in patients undergoing MHD.
Systematic review and Methodological appraisal.
A comprehensive search was conducted across multiple databases—PubMed, Web of Science Core Collection, Embase, Cochrane Library, CINAHL, China Biomedical Literature Database (CBM), Wanfang Database, VIP Database—covering studies up to November 1, 2024.
Two researchers independently conducted literature searches, screening, and data extraction. They used the Prediction Model Risk of Bias Assessment Tool (PROBAST) to evaluate the risk of bias and the applicability of the included models.
Fifteen studies (21 models) were analysed, with sample sizes 141–786 and frailty incidence 11.00%–59.57%. Model AUCs ranged 0.720–0.998 (potential overfitting at extreme values). Key predictors included age, serum albumin, gender, Charlson comorbidity index, and activities of daily living scores. Methodological appraisal using PROBAST revealed moderate applicability but high bias risks: 53% of studies used retrospective designs, 95% lacked external validation, and limitations included small samples, non-standard variable selection, and inadequate handling of missing data.
While models demonstrate initial predictive utility, widespread bias and developmental-stage limitations hinder clinical application. Future research must prioritise TRIPOD-guided model development, emphasising large prospective cohorts, rigorous validation, and transparent reporting to enhance reliability and clinical utility in frailty risk stratification for MHD patients.
by Jing Liu, Junshuang Wang, Shuang Lv, Hengjiao Wang, Defu Yang, Ying Zhang, Ying Li, Huiling Qu, Ying Xu, Ying Yan
ObjectiveRadiation-induced brain injury (RIBI) is a significant complication following radiotherapy for brain tumors, leading to neurocognitive deficits and other neurological impairments. This study aims to identify potential biomarkers and therapeutic targets for RIBI by utilizing advanced proteomic techniques to explore the molecular mechanisms underlying RIBI.
MethodsA rat model of RIBI was established and subjected to whole-brain irradiation (30 Gy). Tandem mass tagging (TMT)-based quantitative proteomics, combined with high-resolution mass spectrometry, was used to identify differentially expressed proteins (DEPs) in the brain tissues of irradiated rats. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted to identify the biological processes and pathways involved. Protein-protein interaction (PPI) networks were constructed to identify key hub proteins.
ResultsA total of 35 DEPs were identified, including PHLDA3, APOE and CPE. GO enrichment analysis revealed that the DEPs were mainly involved in lipid transport, cell adhesion, and metabolic processes. KEGG analysis highlighted the enrichment of pathways related to metabolism, tight junctions, and PPAR signaling. APOE was identified as a key hub protein through PPI network analysis, indicating its potential role in RIBI pathophysiology. Immunohistochemistry further validated the increased expression of PHLDA3, APOE, and CPE in the brain tissue of irradiated rats.
ConclusionThis study provides valuable insights into the molecular mechanisms of RIBI by identifying key proteins and their associated pathways. The findings suggest that these proteins, particularly APOE and PHLDA3, could serve as potential biomarkers and therapeutic targets for clinical intervention in RIBI. These results not only enhance our understanding of RIBI’s molecular pathology but also open new avenues for the development of targeted therapies to mitigate radiation-induced neurotoxicity.
Nurse-led telephone-based follow-up interventions play a role in patient follow-up, but at present, no meta-analysis has been found to assess the effectiveness of nurse-led, telephone follow-up interventions for patients with acute coronary syndrome.
This systematic review and meta-analysis aimed to evaluate the effectiveness of nurse-led telephone-based follow-up interventions on health outcomes in people with acute coronary syndromes.
Systematic review and meta-analysis of randomized controlled trials.
A comprehensive search of six databases: PubMed, Web of Science, Embase, Cochrane Library, CINAHL and Scopus was conducted from the inception of the databases to 30 September 2023. The Cochrane Risk of Bias Tool was used to assess the methodological quality of the included randomized controlled studies. Review Manager 5.4 and Stata 16.0 were used to conduct statistical analysis.
A total of 12 studies were included. Nurse-led telephone-based follow-up interventions may reduce systolic and diastolic blood pressure (MD = −2.55, 95% CI [−4.16, −0.94]) (MD = −2.15, 95% CI [−3.18, −1.12]) and low-density lipoprotein (MD = −9.06, 95% CI [−14.33, −3.79]) in patients with acute coronary syndrome. However, its effectiveness in controlling high-density lipoprotein (MD = 1.65, 95% CI [−4.30, 7.61]) and reducing total cholesterol (MD = −2.72, 95% CI [−7.57, 2.13]) was uncertain. In addition, the results showed that the nurse-led follow-up intervention did not play a role in improving anxiety (SMD = −0.20, 95% CI [−0.44, 0.04]) and depression (SMD = −0.07, 95% CI [−0.21, 0.06]) in patients with acute coronary syndrome, but it probably improved drug adherence (RR = 1.30, 95% CI [1.05, 1.60]) and smoking cessation (RR = 1.31, 95% CI [1.08, 1.60]).
The findings of this review suggest that nurse-led telephone-based follow-up interventions had a potentially positive effect on controlling blood pressure and low-density lipoprotein levels, as well as improving medication adherence and smoking cessation among patients with acute coronary syndrome, compared to usual care. However, the intervention did not appear to significantly impact high-density lipoprotein, total cholesterol, anxiety, and depression, indicating that further research in these areas will be necessary in the future.
PROSPERO (International Prospective Register of Systematic Reviews): CRD42023465894
In recent years, the critical role of health literacy in diabetes management has become increasingly prominent. The aim of this study was to investigate the impact of social support on health literacy among patients with diabetes, to test the mediating role of self-efficacy and empowerment between social support and health literacy, and the moderating role of eHealth literacy.
A cross-sectional study conducted between August 2023 and June 2024.
This study adopted the cluster sampling method and conducted a questionnaire survey among 251 patients with diabetes in a tertiary hospital in Wuhu City, Anhui Province. The questionnaires included the Social Support Rating Scale, the Self-Efficacy for Diabetes scale, the Health Empowerment Scale, the eHealth Literacy Scale and the Diabetes Health Literacy Scale.
Social support was positively associated with health literacy in patients with diabetes. Self-efficacy and empowerment mediated the relationship and formed chained mediation pathways respectively. eHealth literacy has a moderating role between self-efficacy and empowerment.
The results revealed that social support influences health literacy among patients with diabetes through the mediating pathways of self-efficacy and empowerment, and that this process is moderated by eHealth literacy. These findings provide a theoretical basis and practical insights for improving health literacy among patients with diabetes.
Enhancing health literacy among people with diabetes by strengthening social support, self-efficacy and empowerment levels, while focusing on the technology-enabling role of eHealth literacy in this context.
This study adheres to the relevant EQUATOR guidelines based on the STROBE cross-sectional reporting method.
We thank all patients who participated in the study for their understanding and support.
FreshRSS 