Association between balance impairment and incidence of motoric cognitive risk syndrome in the China Health and Retirement Longitudinal Study.

Objectives: Motor cognitive risk (MCR) syndrome, defined as the cooccurrence of subjective cognitive complaints and a slow gait speed, is a form of pre-dementia condition. Balance has previously been associated with cognitive function. However, to date, no study has examined the relationship between balance and MCR in a large cohort of older adults.

The value of radiomics-based hyperdense middle cerebral artery sign in predicting hemorrhagic transformation in acute ischemic stroke patients undergoing endovascular treatment.

Objective: To establish and validate a model based on hyperdense middle cerebral artery sign (HMCAS) radiomics features for predicting hemorrhagic transformation (HT) in patients with acute ischemic stroke (AIS) after endovascular treatment (EVT).

Methods: Patients with AIS who presented with HMCAS on non-contrast computed tomography (NCCT) at admission and underwent EVT at three comprehensive hospitals between June 2020 and January 2024 were recruited for this retrospective study. A radiomics model was constructed using the HMCAS radiomics features most strongly associated with HT.

Differential Association of Salivary Proinflammatory Mediators with Type 2 Diabetes: A Network Meta-Analysis.

Background: Salivary compounds can be used as diagnostic markers for changes in the oral cavity that cause oral problems in type 2 diabetes mellitus (T2DM).

Methods: This meta-analysis searched PubMed/Medline, EMBASE, Scopus and Cochrane Library, and the Web of Science until Nov 2023. The observational studies included patients with T2DM and healthy controls aged > 18 yr with no oral health problems or systematic or periodontal diseases.

[Clinical significance of antiphospholipid antibodies in Behcet disease with thrombosis].

Objective: To investigate the distribution and clinical significance of antiphospholipid antibody (aPL) in patients with Behcet disease (BD).

Methods: A total of 222 BD patients admitted to the Department of Rheumatology and Immunology in Peking University People' s Hospital from February 2008 to July 2024 were selected retrospectively. General data of the patients including age and gender were collec-ted.

[Diagnostic significance of serum chemokine CXCL-10 and Krebs von den lungen-6 level in patients with rheumatoid arthritis associated interstitial lung disease].

Objective: To detect the serum level of chemokine CXC motif chemokine 10 (CXCL-10) and Krebs von den lungen-6 (KL-6) in patients with rheumatoid arthritis associated interstitial lung disease (RA-ILD), and to analyze their correlation with RA-ILD, as well as the significance in RA-ILD.

Methods: A total of 169 RA patients were enrolled in the study. According to imaging findings of with and without ILD in high-resolution computed tomography scans of chest, the subjects were divided into RA-ILD group and RA-non-ILD group.

Effectiveness of a Local Drug Delivery System Based on Antimicrobial Peptides in Early Treatment of Peri-implantitis.

Objective: To analyse the effects of titanium implants coated with various antimicrobial peptide (AMP) layers on bacterial growth and early biofilm formation around the implants.

Methods: A novel AMP mixture was constructed using Type I collagen, sulfonated succinimide 4- (N-Maleimidylphenyl) butyrate, and AMPs. Titanium discs treated with chitosan and hyaluronic acid solutions were reacted with the AMP mixture to obtain AMP-coated titanium discs.

Risk factors for postoperative recurrence in eosinophilic chronic rhinosinusitis with nasal polyps: development of a prediction model.

Objective: To identify risk factors for postoperative recurrence in patients with eosinophilic chronic rhinosinusitis with nasal polyps (ECRSwNP) and develop a nomogram prediction model for identifying patients at high risk of recurrence.

Methods: A cohort study involving 200 ECRSwNP patients analyzed clinical data for recurrence predictors using univariate and multivariate logistic regression analyses. A nomogram model was developed and validated using Receiver Operating Characteristic (ROC) curves.

Impact of Omicron Variant Infection on Female Fertility and Laboratory Outcomes: A Self-Controlled Study.

Problem: Investigating the impact of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection on female fertility and laboratory outcomes in patients undergoing assisted reproductive technology (ART) treatment who were initially uninfected but later became infected.

Methods Of The Study: This self-controlled study included 197 patients who underwent repeated oocyte retrieval before and after SARS-CoV-2 infection between March 2021 and April 2023, of which 117 used the same ovarian stimulation protocol within a consistent age range. We evaluated the ovarian reserve, ovarian response, and laboratory outcomes in patients before and after SARS-CoV-2 infection.

Causal associations of white blood cell count and sudden sensorineural hearing loss: a bidirectional and multivariable Mendelian randomization study.

Background: Numerous compelling observational studies have demonstrated a plausible correlation between the white blood cell count and the susceptibility to sudden sensorineural hearing loss (SSNHL). Nevertheless, the exact causal relationship between these two factors remains ambiguous. The objective of our study was to assess the causal impact of white blood cell count on sudden sensorineural hearing loss through the implementation of a bidirectional and multivariable Mendelian randomization (MR) methodology.

A flexible deep learning framework for liver tumor diagnosis using variable multi-phase contrast-enhanced CT scans.

Background: Liver cancer is a significant cause of cancer-related mortality worldwide and requires tailored treatment strategies for different types. However, preoperative accurate diagnosis of the type presents a challenge. This study aims to develop an automatic diagnostic model based on multi-phase contrast-enhanced CT (CECT) images to distinguish between hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), and normal individuals.

Biologicals for the treatment of lupus nephritis: a Bayesian network meta-regression analysis.

Background: Previous studies comparing the efficacy and safety of different treatment regimens for lupus nephritis are scarce. Moreover, confounding factors such as the duration of follow-up were hardly adjusted in those studies, potentially compromising the results and their extents to clinical settings.

Objective: To rigorously investigate the efficacy and safety of biologics in patients with lupus nephritis using Bayesian network meta-regression analyses that adjust for the follow-up period, in order to provide more robust evidence for clinicians.

NR3C2 affects the proliferation and invasiveness of colon cancer cells through the Wnt/β-Catenin signaling pathway.

Purpose: The aim of this study was to explore the potential correlation between the nuclear receptor subfamily 3 group C member 2 (NR3C2) and outcomes of colon cancer, along with the mechanisms underlying this association.

Method: mRNA (messenger RNA) data and clinical records pertaining to colon cancer were retrieved from The Cancer Genome Atlas (TCGA) database. The analysis of NR3C2 expression discrepancies between normal colon and tumor tissues was conducted using R software.

Screening of key modules and key genes in the prevention of skin cancer development based on gene volcano plot and WGCNA.

Background: Skin cancer, a prevalent form of cancer that is on the rise worldwide, requires proactive prevention strategies to reduce the burden of screening, treatment, and mortality. The KEGG research highlighted the significant involvement of red module genes in protein digestion and absorption. These findings provide valuable insights into the underlying molecular mechanisms associated with skin cancer susceptibility, offering potential targets for further research and development of preventive strategies.

Prediction of postoperative residual primary ovarian neoplasm or metastatic lesion close to rectum of serous ovarian carcinoma based on clinical and MR T1-DEI features.

Background: The optimal primary debulking surgery outcome of serous ovarian carcinoma (SOC) is greatly affected by primary ovarian neoplasm or metastatic lesion close to the rectum.

Purpose: To study the risk factors affecting postoperative residual primary ovarian neoplasm or metastatic lesion close to the rectum of SOC.

Material And Methods: The clinical and MRI data of 164 patients with SOC eligible from institution A (training and test groups) and 36 patients with SOC eligible from institution B (external validation group) were collected and retrospectively analyzed.

Corrigendum: Cardiac infarction caused by PD-1 inhibitor during small cell neuroendocrine carcinoma of the ureter treatment: a case report.

[This corrects the article DOI: 10.3389/fonc.2023.

Effects of exercise dosage on the treatment of fibromyalgia: A meta-analysis of randomised controlled trials.

Background: Exercise intensity is a key component of an exercise prescription. This meta-analysis aimed to investigate the treatment effect of different exercise doses on fibromyalgia syndrome.

Methods: PubMed, Embase, Web of Science, and the Cochrane Library were searched from their inception until 29 December 2023.

Radiomics combined with clinical and MRI features may provide preoperative evaluation of suboptimal debulking surgery for serous ovarian carcinoma.

Purpose: To develop and validate a model for predicting suboptimal debulking surgery (SDS) of serous ovarian carcinoma (SOC) using radiomics method, clinical and MRI features.

Methods: 228 patients eligible from institution A (randomly divided into the training and internal validation cohorts) and 45 patients from institution B (external validation cohort) were collected and retrospectively analyzed. All patients underwent abdominal pelvic enhanced MRI scan, including T2-weighted imaging fat-suppressed fast spin-echo (T2FSE), T1-weighted dual-echo magnetic resonance imaging (T1DEI), diffusion weighted imaging (DWI), and T1 with contrast enhancement (T1CE).

Prediction of Adolescents' Fluid Intelligence Scores based on Deep Learning with Reconstruction Regularization.

Objective: The aim of this study was to develop a predictive model for uncorrected/actual fluid intelligence scores in 9-10 year old children using magnetic resonance T1-weighted imaging. Explore the predictive performance of an autoencoder model based on reconstruction regularization for fluid intelligence in adolescents.

Methods: We collected actual fluid intelligence scores and T1-weighted MRIs of 11,534 adolescents who completed baseline tasks from ABCD Data Release 3.