96 Works

High-definition transcranial direct current stimulation (HD-tDCS) as augmentation therapy in late-life depression (LLD) with suboptimal response to treatment—a study protocol for a double-blinded randomized sham-controlled trial

Sze Ting Joanna Ngan, Lap Kei Chan, Wai Chi Chan, Linda Chiu Wa Lam, Wan Kei Li, Kelvin Lim, Ego Or, Pui Fai Pang, Ting Keung Poon, Mei Cheung Mimi Wong, Ying King Anna Wu & Pak Wing Calvin Cheng
Abstract Background Late-life depression (LLD) has a poorer prognosis and higher relapse rate than younger adults, with up to one third of patients with LLD showing suboptimal response to antidepressant therapy. LLD has been associated with significant impairment in cognition and daily functioning. Few studies have evaluated the therapeutic effects of high-definition transcranial direct current stimulation (HD-tDCS) on depressive and cognitive symptoms of LLD. The current randomized controlled trial assesses the efficacy of HD-tDCS as...

Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

Menglong Fan, Xinlei Li, Ying Zhang, Si Wu, Zhixin Song, Hengfu Yin, Weixin Liu, Zhengqi Fan & Jiyuan Li
Abstract Background The cultivated Camellia sasanqua forms a divergent double flower pattern, and the stamen petaloid is a vital factor in the phenomenon. However, the regulation mechanism remains largely unclear. Results Here, a comprehensive comparative transcriptome analysis of the wild-type, “semi-double”, “peony double”, and “rose double” was performed. The cluster analysis of global gene expression level showed petal and stamen difficulty separable in double flower. The crucial pathway and genes related to double flower patterns...

Changes in concentrations of cervicovaginal immune mediators across the menstrual cycle: a systematic review and meta-analysis of individual patient data

Sean M. Hughes, Claire N. Levy, Ronit Katz, Erica M. Lokken, Melis N. Anahtar, Melissa Barousse Hall, Frideborg Bradley, Philip E. Castle, Valerie Cortez, Gustavo F. Doncel, Raina Fichorova, Paul L. Fidel, Keith R. Fowke, Suzanna C. Francis, Mimi Ghosh, Loris Y. Hwang, Mariel Jais, Vicky Jespers, Vineet Joag, Rupert Kaul, Jordan Kyongo, Timothy Lahey, Huiying Li, Julia Makinde, Lyle R. McKinnon … & Florian Hladik
Abstract Background Hormonal changes during the menstrual cycle play a key role in shaping immunity in the cervicovaginal tract. Cervicovaginal fluid contains cytokines, chemokines, immunoglobulins, and other immune mediators. Many studies have shown that the concentrations of these immune mediators change throughout the menstrual cycle, but the studies have often shown inconsistent results. Our understanding of immunological correlates of the menstrual cycle remains limited and could be improved by meta-analysis of the available evidence. Methods...

Targeted OUM1/PTPRZ1 silencing and synergetic CDT/enhanced chemical therapy toward uveal melanoma based on a dual-modal imaging-guided manganese metal–organic framework nanoparticles

Yue Li, Fang Li, Hui Pan, Xiaolin Huang, Jie Yu, Xueru Liu, Qinghao Zhang, Caiwen Xiao, He Zhang & Leilei Zhang
Abstract Metastasis and chemical resistance are the most serious problems in the treatment of highly aggressive uveal melanoma (UM). The newly identified lncRNA OUM1 is overexpressed in UM, functions as a catalyst and regulates protein tyrosine phosphatase (PTP) activity by binding to PTP receptor type Z1 (PTPRZ1), which plays an important role in cell proliferation, metastasis and chemotherapy resistance in the UM microenvironment. Hence, siRNAs that selectively knocking down the lncRNA OUM1 (siOUM1) and its...

Marijuana use and DNA methylation-based biological age in young adults

Drew R. Nannini, Yinan Zheng, Brian T. Joyce, Tao Gao, Lei Liu, David R. Jacobs, Pamela Schreiner, Chunyu Liu, Steve Horvath, Ake T. Lu, Kristine Yaffe, Stephen Sidney, Philip Greenland, Donald M. Lloyd-Jones & Lifang Hou
Abstract Background Marijuana is the third most commonly used drug in the USA and efforts to legalize it for medical and recreational use are growing. Despite the increase in use, marijuana’s effect on aging remains understudied and understanding the effects of marijuana on molecular aging may provide novel insights into the role of marijuana in the aging process. We therefore sought to investigate the association between cumulative and recent use of marijuana with epigenetic age...

Dementia risk prediction in individuals with mild cognitive impairment: a comparison of Cox regression and machine learning models

Meng Wang, Matthew Greenberg, Nils D. Forkert, Thierry Chekouo, Gabriel Afriyie, Zahinoor Ismail, Eric E. Smith & Tolulope T. Sajobi
Abstract Background Cox proportional hazards regression models and machine learning models are widely used for predicting the risk of dementia. Existing comparisons of these models have mostly been based on empirical datasets and have yielded mixed results. This study examines the accuracy of various machine learning and of the Cox regression models for predicting time-to-event outcomes using Monte Carlo simulation in people with mild cognitive impairment (MCI). Methods The predictive accuracy of nine time-to-event regression...

The diagnostic and prognostic value of radiomics and deep learning technologies for patients with solid pulmonary nodules in chest CT images

Rui Zhang, Ying Wei, Feng Shi, Jing Ren, Qing Zhou, Weimin Li & Bojiang Chen
Abstract Background Solid pulmonary nodules are different from subsolid nodules and the diagnosis is much more challenging. We intended to evaluate the diagnostic and prognostic value of radiomics and deep learning technologies for solid pulmonary nodules. Methods Retrospectively enroll patients with pathologically-confirmed solid pulmonary nodules and collect clinical data. Obtain pre-treatment high-resolution thoracic CT and manually delineate the nodule in 3D. Then, all patients were randomly divided into training and testing sets at a ratio...

Machine Learning Radiomics Model for External and Internal Respiratory Motion Correlation Prediction in Lung Tumor

Xiangyu Zhang, Xinyu Song, Guangjun Li, Lian Duan, Guangyu Wang, Guyu Dai, Ying Song, Jing Li & Sen Bai
Objectives: The complexity and specificity of lung tumor motion render it necessary to determine the external and internal correlation individually before applying indirect tumor tracking. However, the correlation cannot be determined from patient respiratory and tumor clinical characteristics before treatment. The purpose of this study is to present a machine learning model for an external/internal correlation prediction that is based on computed tomography (CT) radiomic features. Methods: 4-dimensional computed tomography (4DCT) images of 67 patients...

Deep progressive learning achieves whole-body low-dose 18F-FDG PET imaging

Taisong Wang, Wenli Qiao, Ying Wang, Jingyi Wang, Yang Lv, Yun Dong, Zheng Qian, Yan Xing & Jinhua Zhao
Abstract Objectives To validate a total-body PET-guided deep progressive learning reconstruction method (DPR) for low-dose 18F-FDG PET imaging. Methods List-mode data from the retrospective study (n = 26) were rebinned into short-duration scans and reconstructed with DPR. The standard uptake value (SUV) and tumor-to-liver ratio (TLR) in lesions and coefficient of variation (COV) in the liver in the DPR images were compared to the reference (OSEM images with full-duration data). In the prospective study, another...

Erythema nodosum after azacitidine in a patient with acute myeloid leukemia

Elham Nasrollahi, Alessio Giubellino & Armin Rashidi
IntroductionNodular skin lesions in patients with acute myeloid leukemia (AML) raise clinical suspicion for leukemia cutis versus fungal infections. Here, we report a rare case of treatment-related erythema nodosum (EN) in a patient with AML.Case ReportApproximately 5 weeks after the initiation of sorafenib and one week after azacitidine initiation, a 32-year-old man with primary refractory AML presented with several painful red nodules on the lower extremities. Histological examination established a diagnosis of EN.Management and OutcomeTreatment...

Evaluation of Strategies to Improve Uptake of Expedited Partner Therapy for Chlamydia trachomatis Treatment in Minnesota: A Decision Analytic Model

Emily A. Groene, Christy M. Boraas, M. Kumi Smith, Sarah M. Lofgren, Meghan K. Rothenberger & Eva A. Enns
Background. Despite the established effectiveness of expedited partner therapy (EPT) in partner treatment of bacterial sexually transmitted infections (STI), the practice is underutilized. Objective. To estimate the relative effectiveness of strategies to increase EPT uptake (numbers of partners treated for chlamydia). Methods. We developed a care cascade model of cumulative probabilities to estimate the number of partners treated under strategies to increase EPT uptake in Minnesota. The care cascade model used data from clinical trials,...

Can Technology-Based Social Memory Aids Improve Social Engagement? Perceptions of a Novel Memory Aid for Persons With Memory Concerns

Brenna L. Horn, Elizabeth A. Albers, Lauren L. Mitchell, Eric Jutkowitz, Jessica M. Finlay, Ashley N. Millenbah, Gregory J. Seifert, Daniel S. Hedin, Matthew J. Knutson, Kevin M. Kramer & Jude P. Mikal
Social withdrawal and isolation are frequently experienced among people with cognitive impairment, Alzheimer’s disease, and Alzheimer’s disease related dementias. Few assistive technologies exist to support persons with memory concerns’ (PWMC) continuing social engagement. This study aimed to understand PWMC and family caregivers’ initial perspectives on the feasibility and utility of a wearable technology-based social memory aid. We recruited 20 dyads, presented the memory aid, and conducted semi-structured interviews from June to August 2020 over Zoom...

Changes in concentrations of cervicovaginal immune mediators across the menstrual cycle: a systematic review and meta-analysis of individual patient data

Sean M. Hughes, Claire N. Levy, Ronit Katz, Erica M. Lokken, Melis N. Anahtar, Melissa Barousse Hall, Frideborg Bradley, Philip E. Castle, Valerie Cortez, Gustavo F. Doncel, Raina Fichorova, Paul L. Fidel, Keith R. Fowke, Suzanna C. Francis, Mimi Ghosh, Loris Y. Hwang, Mariel Jais, Vicky Jespers, Vineet Joag, Rupert Kaul, Jordan Kyongo, Timothy Lahey, Huiying Li, Julia Makinde, Lyle R. McKinnon … & Florian Hladik
Abstract Background Hormonal changes during the menstrual cycle play a key role in shaping immunity in the cervicovaginal tract. Cervicovaginal fluid contains cytokines, chemokines, immunoglobulins, and other immune mediators. Many studies have shown that the concentrations of these immune mediators change throughout the menstrual cycle, but the studies have often shown inconsistent results. Our understanding of immunological correlates of the menstrual cycle remains limited and could be improved by meta-analysis of the available evidence. Methods...

Examining evidence of time-dependent treatment effects: an illustration using regression methods

Kim M. Jachno, Stephane Heritier, Robyn L. Woods, Suzanne Mahady, Andrew Chan, Andrew Tonkin, Anne Murray, John J. McNeil & Rory Wolfe
Abstract Background For the design and analysis of clinical trials with time-to-event outcomes, the Cox proportional hazards model and the logrank test have been the cornerstone methods for many decades. Increasingly, the key assumption of proportionality—or time-fixed effects—that underpins these methods has been called into question. The availability of novel therapies with new mechanisms of action and clinical trials of longer duration mean that non-proportional hazards are now more frequently encountered. Methods We compared several...

Padres Preparados, Jóvenes Saludables: intervention impact of a randomized controlled trial on Latino father and adolescent energy balance-related behaviors

A. Baltaci, G. A. Hurtado Choque, C. Davey, A. Reyes Peralta, S. Alvarez de Davila, Y. Zhang, A. Gold, N. Larson & M. Reicks
Abstract Background Studies have shown associations among food and activity behaviors and body weight of Latino fathers and adolescents. However, few Latino father-focused interventions have been designed to improve energy balance-related behaviors (EBRBs) and weight status among early adolescents. Thus, this efficacy study aims to evaluate the Padres Preparados, Jóvenes Saludables (Padres) youth obesity prevention program for positive changes in EBRBs (fruit, vegetable, sugar-sweetened beverage (SSB), sweet/salty snack, and fast-food consumption, physical activity, and screen...

A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials

Ying Zhang, John S Preisser, Elizabeth L Turner, Paul J Rathouz, Mark Toles & Fan Li
Stepped wedge designs have uni-directional crossovers at randomly assigned time points (steps) where clusters switch from control to intervention condition. Incomplete stepped wedge designs are increasingly used in cluster randomized trials of health care interventions and have periods without data collection due to logistical, resource and patient-centered considerations. The development of sample size formulae for stepped wedge trials has primarily focused on complete designs and continuous responses. Addressing this gap, a general, fast, non-simulation based...

Rare disease curative care expenditure-financing scheme-health provider–beneficiary group analysis: an empirical study in Sichuan Province, China

Jia Li, Lian Yang, Yitong Zhang, Hailun Liao, Yuan Ma & Qun Sun
Abstract Background Rare diseases impose a heavy economic burden on patients’ families and society worldwide. This study used the samples from Sichuan Province in China to estimate the curative care expenditure (CCE) of ten rare diseases, for supporting the prioritization of rare disease health policies. Methods Multi-stage cluster sampling method was adopted to investigate 9714 rare disease patients from 1556 medical institutions in Sichuan Province. Based on the System of Health Accounts 2011, this study...

Rare disease curative care expenditure-financing scheme-health provider–beneficiary group analysis: an empirical study in Sichuan Province, China

Jia Li, Lian Yang, Yitong Zhang, Hailun Liao, Yuan Ma & Qun Sun
Abstract Background Rare diseases impose a heavy economic burden on patients’ families and society worldwide. This study used the samples from Sichuan Province in China to estimate the curative care expenditure (CCE) of ten rare diseases, for supporting the prioritization of rare disease health policies. Methods Multi-stage cluster sampling method was adopted to investigate 9714 rare disease patients from 1556 medical institutions in Sichuan Province. Based on the System of Health Accounts 2011, this study...

Screening for prostate cancer: protocol for updating multiple systematic reviews to inform a Canadian Task Force on Preventive Health Care guideline update

Alexandria Bennett, Andrew Beck, Nicole Shaver, Roland Grad, Allana LeBlanc, Heather Limburg, Casey Gray, Ahmed Abou-Setta, Scott Klarenbach, Navindra Persaud, Guylène Thériault, Brett D. Thombs, Keith J. Todd, Neil Bell, Philipp Dahm, Andrew Loblaw, Lisa Del Giudice, Xiaomei Yao, Becky Skidmore, Elizabeth Rolland-Harris, Melissa Brouwers, Julian Little & David Moher
Abstract Purpose To inform updated recommendations by the Canadian Task Force on Preventive Health Care on screening for prostate cancer in adults aged 18 years and older in primary care. This protocol outlines the planned scope and methods for a series of systematic reviews. Methods Updates of two systematic reviews and a de novo review will be conducted to synthesize the evidence on the benefits and harms of screening for prostate cancer with a prostate-specific...

Sanfilippo syndrome: consensus guidelines for clinical care

Nicole Muschol, Roberto Giugliani, Simon A. Jones, Joseph Muenzer, Nicholas J. C. Smith, Chester B. Whitley, Megan Donnell, Elise Drake, Kristina Elvidge, Lisa Melton & Cara O’Neill
Abstract Sanfilippo syndrome is a group of rare, complex, and progressive neurodegenerative lysosomal storage disorders that is characterized by childhood dementia. The clinical management of patients with progressive neurological decline and multisystem involvement requires a multidisciplinary team with experience in the management of neurodegenerative disorders. Best practice guidelines for the clinical management of patients with these types of rare disorders are critical to ensure prompt diagnosis and initiation of appropriate care. However, there are no...

Target-enriched long-read sequencing (TELSeq) contextualizes antimicrobial resistance genes in metagenomes

Ilya B. Slizovskiy, Marco Oliva, Jonathen K. Settle, Lidiya V. Zyskina, Mattia Prosperi, Christina Boucher & Noelle R. Noyes
Abstract Background Metagenomic data can be used to profile high-importance genes within microbiomes. However, current metagenomic workflows produce data that suffer from low sensitivity and an inability to accurately reconstruct partial or full genomes, particularly those in low abundance. These limitations preclude colocalization analysis, i.e., characterizing the genomic context of genes and functions within a metagenomic sample. Genomic context is especially crucial for functions associated with horizontal gene transfer (HGT) via mobile genetic elements (MGEs),...

Promoting health and social equity through family navigation to prevention and early intervention services: a proof of concept study

Jeffrey Waid, Olivia Tomfohrde & Courtney Kutzler
Abstract Background Health and social inequality are associated with multiple adverse childhood experiences including poverty, mental illness, and child maltreatment. While effective interventions currently exist for many health and social problems, large segments of the population experience barriers accessing needed services. In alignment with broader public health efforts to reduce health and social inequality in one state in the U.S.A., the current study describes the development and formative evaluation of a brief, low cost, portable...

A dual deep neural network for auto-delineation in cervical cancer radiotherapy with clinical validation

Shihong Nie, Yuanfeng Wei, Fen Zhao, Ya Dong, Yan Chen, Qiaoqi Li, Wei Du, Xin Li, Xi Yang & Zhiping Li
Abstract Background Artificial intelligence (AI) algorithms are capable of automatically detecting contouring boundaries in medical images. However, the algorithms impact on clinical practice of cervical cancer are unclear. We aimed to develop an AI-assisted system for automatic contouring of the clinical target volume (CTV) and organs-at-risk (OARs) in cervical cancer radiotherapy and conduct clinical-based observations. Methods We first retrospectively collected data of 203 patients with cervical cancer from West China Hospital. The proposed method named...

Prescribing Trends of Oral Anticoagulants from 2010 to 2020 in Shanghai, China: A Retrospective Study

Chi Zhang, Jia Wang, Ya Yang, Er-Li Ma, Hou-Wen Lin, Bing-Long Liu & Zhi-Chun Gu
AimNon-vitamin K antagonist oral anticoagulants (NOACs) were developed as an alternative to warfarin to prevent thromboembolism in patients with atrial fibrillation (AF), prosthetic heart valves, venous thromboembolism (VTE), or other thrombotic disorders. The aim of this study is to explore the trends in prescribing OACs, including warfarin and NOACs, in Shanghai, China.MethodsPrescription data of OACs were retrospectively collected from Rx Analysis System from 2010 to 2020 in Shanghai, China. Comparisons were made on the trends...

Prescribing Trends of Oral Anticoagulants from 2010 to 2020 in Shanghai, China: A Retrospective Study

Chi Zhang, Jia Wang, Ya Yang, Er-Li Ma, Hou-Wen Lin, Bing-Long Liu & Zhi-Chun Gu
AimNon-vitamin K antagonist oral anticoagulants (NOACs) were developed as an alternative to warfarin to prevent thromboembolism in patients with atrial fibrillation (AF), prosthetic heart valves, venous thromboembolism (VTE), or other thrombotic disorders. The aim of this study is to explore the trends in prescribing OACs, including warfarin and NOACs, in Shanghai, China.MethodsPrescription data of OACs were retrospectively collected from Rx Analysis System from 2010 to 2020 in Shanghai, China. Comparisons were made on the trends...

Registration Year

  • 2023
    3
  • 2022
    93

Resource Types

  • Collection
    96

Affiliations

  • University of Minnesota
    96
  • Fudan University
    42
  • Sichuan University
    41
  • University of Chinese Academy of Sciences
    40
  • Zhejiang University
    39
  • Chinese Academy of Medical Sciences & Peking Union Medical College
    38
  • Capital Medical University
    36
  • Southern Medical University
    36
  • First Affiliated Hospital of Chongqing Medical University
    30
  • Chinese Academy of Sciences
    30