99 Works

Hand surgery and hand therapy clinical practice guideline for epidermolysis bullosa

Rachel Box, Catina Bernardis, Alexander Pleshkov, Nicky Jessop, Catherine Miller, Jennifer Skye, Virginia O’Brien, Matthew Veerkamp, Anna Carolina Ferreira da Rocha & Roger Cornwall
Abstract What is already known about this topic? Epidermolysis bullosa (EB) causes blistering and scarring of the hands resulting in contractures fused web spaces and altered function. Surgery is needed to release contractures and web spaces and hand therapy is essential to maintain results, approaches for both differ. What does this study add? These guidelines aim to provide information on the surgical and conservative therapeutic hand management of children and adults diagnosed with EB. They...

Campaign Advertising and the Cultivation of Crime Worry: Testing Relationships With Two Large Datasets From the 2016 U.S. Election Cycle

Jiawei Liu, Rosemary J. Avery, Erika F. Fowler, Laura Baum, Sarah E. Gollust, Colleen L. Barry, Brendan Welch, Emmett Tabor, Nathaniel W. Lee & Jeff Niederdeppe
Previous research has documented that political information in the mass media can shape attitudes and behaviors beyond voter choice and election turnout. The current study extends this body of work to examine associations between televised political campaign advertising (one of the most common forms of political communication people encounter) and worry about crime and violence in the context of the 2016 U.S. presidential election. We merge two large datasets—Kantar/CMAG data on televised campaign advertisement airings...

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...

Building cross-border collaborations to increase diversity and accelerate rare disease drug development – meeting report from the inaugural IndoUSrare Annual Conference 2021

Harvinder Kour Khera, Nisha Venugopal, Ramya T. Karur, Rakesh Mishra, Reena V. Kartha & Harsha K. Rajasimha
The inaugural IndoUSrare Annual Conference was held virtually from 29 November to 2 December 2021 and was organized by the Indo US Organization for Rare Diseases (IndoUSrare). The event saw participation from over 250 stakeholders of rare diseases who joined in virtually by audio/video on the Zoom platform from around the world, with a majority of attendees concentrated in the Indian subcontinent and the United States. The conference was held over 4 days from 10:00...

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...

Establishment of a Predictive Model for Poor Prognosis of Incomplete Revascularization in Patients with Coronary Heart Disease and Multivessel Disease

Huan Lian, Zhuoyan Zhao, Kelin Ma, Zhenjiang Ding, Lixian Sun & Ying Zhang
ObjectiveTo establish a predictive model for poor prognosis after incomplete revascularization (ICR) in patients with multivessel coronary artery disease (MVD).MethodsClinical data of 757 patients with MVD and ICR after percutaneous coronary intervention (PCI) in the Affiliated Hospital of Chengde Medical University from January 2020 to August 2021 were retrospectively collected. The least absolute shrinkage and selection operator regression method was used to screen variables, and multivariate logistic regression was used to establish a predictive model....

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...

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...

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...

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...

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...

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...

Prognostic significance of malnutrition risk in elderly patients with acute kidney injury in the intensive care unit

Na Wang, Ping Wang, Wen Li, Li Jiang, Meiping Wang, Bo Zhu & Xiuming Xi
Abstract Background Malnutrition is common in critically ill patients, but nutrition status in critically ill patients with acute kidney injury (AKI) has been poorly studied. Our study aimed to investigate the relationship between malnutrition risk and the occurrence and prognosis of AKI in elderly patients in the intensive care unit (ICU). Methods Data were extracted from the Beijing Acute Kidney Injury Trial (BAKIT). A total of 1873 elderly patients were included and compared according to...

Meta-analysis methods for risk difference: A comparison of different models

Juanru Guo, Mengli Xiao, Haitao Chu & Lifeng Lin
Risk difference is a frequently-used effect measure for binary outcomes. In a meta-analysis, commonly-used methods to synthesize risk differences include: (1) the two-step methods that estimate study-specific risk differences first, then followed by the univariate common-effect model, fixed-effects model, or random-effects models; and (2) the one-step methods using bivariate random-effects models to estimate the summary risk difference from study-specific risks. These methods are expected to have similar performance when the number of studies is large...

Uterine macrophages as treatment targets for therapy of premature rupture of membranes by modified ADSC-EVs through a circRNA/miRNA/NF-κB pathway

Yuhua Gao, Ningning Mi, Ying Zhang, Xiangchen Li, Weijun Guan & Chunyu Bai
Abstract Background Circular RNA (circRNA) is a type of stable non-coding RNA that modifies macrophage inflammation by sponging micro RNAs (miRNAs), binding to RNA-binding proteins, and undergoing translation into peptides. Activated M1 phenotype macrophages secrete matrix metalloproteinases to participate in softening of the cervix uteri to promote vaginal delivery. Methods In this study, the premature rupture of membranes (PROM) mouse model was used to analyze the role of macrophages in this process. Profiling of circRNAs...

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),...

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...

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...

Label-Free Measurement of Wall Shear Stress in Brain Venule and Arteriole Using Dual-Wavelength Third-Harmonic-Generation Line-Scanning Imaging

Hui Cheng, Xinlin Chen, Zhong jincheng, Jia Li, Ping Qiu & Ke Wang
Wall shear stress (WSS) is of fundamental physiological and pathological significance. Current measurement technologies suffer from poor spatial resolution, or cannot measure instantaneous values in a label-free manner. Here we demonstrate dual-wavelength third-harmonic-generation (THG) line-scanning imaging, for instantaneous wall shear rate and WSS measurement in vivo. We used soliton self-frequency shift to generate dual-wavelength femtosecond pulses. Simultaneous acquisition of dual-wavelength THG line-scanning signals extract blood flow velocities at adjacent radial positions for instantaneous wall shear...

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...

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...

From picture to 3D hologram: End-to-end learning of real-time 3D photorealistic hologram generation from 2D image input

Chenliang Chang, Bo Dai, DongChen Zhu, Jiamao Li, Jun Xia, Dawei Zhang, Lianping Hou & Songlin Zhuang
Computer holography is a promising technique for reproducing 3D viewing experiences on-demand by modulating an amplitude or phase hologram. Yet, the huge computational burden of both acquiring 3D wave data and simulating diffraction propagation places an explicit challenge to the total runtime of 3D hologram generation, making dynamic holography impractical. Here we demonstrate a deep-learning based method capable of synthesizing a photorealistic 3D hologram in real-time directly from the input of a single 2D image....

Registration Year

  • 2023
    6
  • 2022
    93

Resource Types

  • Collection
    99

Affiliations

  • University of Minnesota
    99
  • Fudan University
    45
  • 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