Read by QxMD icon Read

decision curve

Arom Choi, Yoo Seok Park, Tae Gun Shin, Kap Su Han, Won Young Kim, Gu Hyun Kang, Kyuseok Kim, Sung-Hyuk Choi, Tae Ho Lim, Gil Joon Suh
BACKGROUND: An accurate disease severity score that can quickly predict the prognosis of patients with sepsis in the emergency department (ED) can aid clinicians in distributing resources appropriately or making decisions for active resuscitation measures. This study aimed to compare the prognostic performance of quick sequential organ failure assessment (qSOFA) with that of other disease severity scores in patients with septic shock presenting to an ED. METHODS: We performed a prospective, observational, registry-based study...
August 21, 2018: American Journal of Emergency Medicine
C Huang, G Song, H Wang, G J Ji, Y K Chen, Q He, L Q Zhou
Objective: To develop a nomogram based on prostate imaging reporting and data system version 2 (PI-RADS v2) to predict clinically significant prostate cancer in patients with a prior negative prostate biopsy. Methods: The clinical and pathological data of 231 patients who underwent repeat prostate biopsy and multiparametric MRI (mpMRI) were reviewed. Based on PI-RADS v2, the mpMRI results were assigned as PI-RADS grade from 0 to 2. A Logistic regression nomogram for predicting the probabilities of clinically significant prostate cancer were constructed...
August 28, 2018: Zhonghua Yi Xue za Zhi [Chinese medical journal]
James R M Black, Stephen R Atkinson, Amal Singh, Joanne Evans, Rohini Sharma
Background: Peptide Receptor Radionuclide Therapy (PRRT) is an effective treatment for certain patients with metastatic neuroendocrine tumours (NETs). Tumour response is highly variable; no biomarker in clinical practice has been demonstrated to reliably predict outcome. The Inflammation-Based Index (IBI), derived from serum C-reactive protein and albumin levels, predicts survival and response to treatment in patients in a number of cancer types and was therefore explored in this setting...
September 13, 2018: Journal of Clinical Endocrinology and Metabolism
Christin Helmschrodt, Kathrin Schmidt, Sandra Bertulat, Laura Klein, Anke Finnah, Wolfgang Heuwieser, Angelika Richter
A robust liquid chromatography-tandem mass spectrometry method was developed and comprehensively validated for the quantification of cefquinome considering the changing matrix composition from bovine colostrum to raw milk. Sample preparation consisted of addition of isotopically labeled cefquinome internal standard prior to protein precipitation of 2 g colostrum or milk followed by solid-phase extraction. A wide concentration range from 1 to 5000 ng cefquinome per gram of colostrum or milk was quantified using a 3200 QTRAP tandem mass spectrometer in positive ionization mode with electrospray ionization...
September 14, 2018: Analytical and Bioanalytical Chemistry
Tong Yifan, Li Zheyong, Chen Miaoqin, Shi Liang, Cai Xiujun
BACKGROUND: Gallbladder cancer (GBC) is a life-threatening disease with a poor prognosis worldwide. Although several risk factors for survival have been identified, an ideal model for predicting prognosis has still not been developed due to the low incidence of GBC. This study aims to solve this dilemma by attempting to develop an efficient survival prediction model for GBC. METHODS: This is a retrospective study. From January 2009 to June 2016, 164 patients with a confirmed histological diagnosis of gallbladder adenocarcinoma were enrolled in this study...
September 2018: Surgical Oncology
Zhongheng Zhang, Valentin Rousson, Wen-Chung Lee, Cyril Ferdynus, Mingyu Chen, Xin Qian, Yizhan Guo
Multivariable regression models are widely used in medical literature for the purpose of diagnosis or prediction. Conventionally, the adequacy of these models is assessed using metrics of diagnostic performances such as sensitivity and specificity, which fail to account for clinical utility of a specific model. Decision curve analysis (DCA) is a widely used method to measure this utility. In this framework, a clinical judgment of the relative value of benefits (treating a true positive case) and harms (treating a false positive case) associated with prediction models is made...
August 2018: Annals of Translational Medicine
Hesham Mostafa Zakaria, Erinma Elibe, Mohammad Macki, Richard Smith, David Boyce-Fappiano, Ian Lee, Brent Griffith, Farzan Siddiqui, Victor Chang
Background: Treatment strategies for spinal metastases for myeloma range from conservative measures (radiation and chemotherapy) to invasive (surgical). Identifying better predictors of overall survival (OS) would help in surgical decision making. Analytic morphometrics has been shown to predict survival in oncologic patients, and our study evaluates whether morphometrics is predictive of survival in patients with multiple myeloma (MM) spinal metastases. Methods: For this observational retrospective cohort study, we identified 46 patients with MM spinal metastases who had undergone stereotactic body radiation therapy...
2018: Surgical Neurology International
Ya-Han Hu, Chun-Tien Tai, Chih-Fong Tsai, Min-Wei Huang
Digoxin is a high-alert medication because of its narrow therapeutic range and high drug-to-drug interactions (DDIs). Approximately 50% of digoxin toxicity cases are preventable, which motivated us to improve the treatment outcomes of digoxin. The objective of this study is to apply machine learning techniques to predict the appropriateness of initial digoxin dosage. A total of 307 inpatients who had their conditions treated with digoxin between 2004 and 2013 at a medical center in Taiwan were collected in the study...
2018: Journal of Healthcare Engineering
Bin Hu, Ke Xu, Zheng Zhang, Ruimei Chai, Shu Li, Lina Zhang
Objective: To develop and validate a radiomic nomogram based on an apparent diffusion coefficient (ADC) map for differentiating benign and malignant lesions in suspicious breast findings classified as Breast Imaging Reporting and Data System (BI-RADS) category 4 on breast magnetic resonance imaging (MRI). Methods: Eighty-eight patients diagnosed with BI-RADS 4 findings on breast MRI in the First Affiliated Hospital of China Medical University from December 2014 to December 2015 were retrospectively analyzed in this study...
August 2018: Chinese Journal of Cancer Research, Chung-kuo Yen Cheng Yen Chiu
Gaia T Koster, T Truc My Nguyen, Erik W van Zwet, Bjarty L Garcia, Hannah R Rowling, J Bosch, Wouter J Schonewille, Birgitta K Velthuis, Ido R van der Wijngaard, Heleen M den Hertog, Yvo Bwem Roos, Marianne Aa van Walderveen, Marieke Jh Wermer, Nyika D Kruyt
Background A clinical large anterior vessel occlusion (LAVO)-prediction scale could reduce treatment delays by allocating intra-arterial thrombectomy (IAT)-eligible patients directly to a comprehensive stroke center. Aim To subtract, validate and compare existing LAVO-prediction scales, and develop a straightforward decision support tool to assess IAT-eligibility. Methods We performed a systematic literature search to identify LAVO-prediction scales. Performance was compared in a prospective, multicenter validation cohort of the Dutch acute Stroke study (DUST) by calculating area under the receiver operating curves (AUROC)...
September 13, 2018: International Journal of Stroke: Official Journal of the International Stroke Society
Jessica Gill, Lawrence Latour, Ramon Diaz-Arrastia, Vida Motamedi, Christine Turtzo, Pashtun Shahim, Stefania Mondello, Christina DeVoto, Eliseo Veras, David Hanlon, Linan Song, Andreas Jeromin
OBJECTIVES: To determine whether a panel of blood-based biomarkers can discriminate between patients with suspected mild traumatic brain injury (mTBI) with and without neuroimaging findings (CT and MRI). METHODS: Study participants presented to the emergency department with suspected mTBI (n = 277) with a CT and MRI scan and healthy controls (n = 49). Plasma concentrations of tau, glial fibrillary acidic protein (GFAP), ubiquitin carboxyl-terminal hydrolase L1, and neurofilament light chain (NFL) were measured using the single-molecule array technology...
September 12, 2018: Neurology
Aidan G Cashin, Adrian C Traeger, Markus Hübscher, G Lorimer Moseley, Flavia Di Pietro, Luke Parkitny, James H McAuley
Study Design Secondary analysis of a prospective cohort study. Background Worldwide, the incidence of wrist fracture is increasing. There are currently no externally validated prognostic models to inform early decision making for these patients. Objectives To develop and validate a prognostic model from a comprehensive range of candidate prognostic factors that can identify patients at risk of developing persistent pain following wrist or hand fracture. Methods We developed and validated a prognostic model using secondary data derived from a prospective cohort study (n=715) with recruitment sites in three metropolitan hospitals in Sydney, Australia...
September 12, 2018: Journal of Orthopaedic and Sports Physical Therapy
Robert D Boutin, Richard A Marder
Background: SLAP lesions of the shoulder are challenging to diagnose by clinical means alone. Interpretation of MR images requires knowledge of the normal appearance of the labrum, its anatomical variants, and the characteristic patterns of SLAP lesions. In general, high signal extending anterior and posterior to the biceps anchor is the hallmark of SLAP lesions. Common diagnostic criteria for a SLAP lesion by MR or MR arthrography include the following: presence of a laterally curved, high signal intensity in the labrum on a coronal image, multiple or branching lines of high signal intensity in the superior labrum on a coronal image, full-thickness detachment with irregularly marginated high signal intensity and/or separation >2 mm on conventional MRI or 3 mm on MR arthrography between the labrum and glenoid on a coronal image, and a paralabral cyst extending from the superior labrum...
2018: Open Orthopaedics Journal
Martin Halicek, James V Little, Xu Wang, Mihir Patel, Christopher C Griffith, Mark W El-Deiry, Amy Y Chen, Baowei Fei
Successful outcomes of surgical cancer resection necessitate negative, cancer-free surgical margins. Currently, tissue samples are sent to pathology for diagnostic confirmation. Hyperspectral imaging (HSI) is an emerging, non-contact optical imaging technique. A reliable optical method could serve to diagnose and biopsy specimens in real-time. Using convolutional neural networks (CNNs) as a tissue classifier, we developed a method to use HSI to perform an optical biopsy of ex-vivo surgical specimens, collected from 21 patients undergoing surgical cancer resection...
January 2018: Proceedings of SPIE
Arkaitz Artetxe, Andoni Beristain, Manuel Graña
OBJECTIVES: Hospital readmission risk prediction facilitates the identification of patients potentially at high risk so that resources can be used more efficiently in terms of cost-benefit. In this context, several models for readmission risk prediction have been proposed in recent years. The goal of this review is to give an overview of prediction models for hospital readmission, describe the data analysis methods and algorithms used for building the models, and synthesize their results...
October 2018: Computer Methods and Programs in Biomedicine
Kuang-Che Kuo, Yi-Chun Yeh, Ying-Hsien Huang, I-Ling Chen, Chen-Hsiang Lee
BACKGROUND: Our previous study demonstrated that pediatricians prescribe antibiotics without proper clinical justification to patients with enterovirus infection, although antibiotics are not effective in treating the infections caused by these viruses. To improve the quality of healthcare, we aim to evaluate the association of clinical and demographic characteristics of patients and further to identify the determining factors for prescribing antibiotics to children experiencing enterovirus infection...
2018: PloS One
Yue Gong, Peng Ji, Wei Sun, Yi-Zhou Jiang, Xin Hu, Zhi-Ming Shao
INTRODUCTION: The objective of current study was to develop and validate comprehensive nomograms for predicting the survival of young women with breast cancer. METHODS: Women aged <40 years diagnosed with invasive breast cancer between 1990 and 2010 were selected from the Surveillance, Epidemiology, and End Results database and randomly divided into training (n = 12,465) and validation (n = 12,424) cohorts. A competing-risks model was used to estimate the probability of breast cancer-specific survival (BCSS)...
September 3, 2018: Translational Oncology
Yong Jae Lee, In Ha Lee, Yun-Ji Kim, Young Shin Chung, Jung-Yun Lee, Eun Ji Nam, Sunghoon Kim, Sang Wun Kim, Young Tae Kim
Various kinetic parameters of serum CA-125 have been reported to have better correlation with outcomes for patients treated with neoadjuvant chemotherapy (NAC). This study aimed to compare the available kinetic parameters of serum CA-125 in an external cohort of advanced-stage ovarian cancer. Using the cancer registry databases from the Yonsei Cancer Hospital, we retrospectively reviewed 210 patients with advanced-stage ovarian cancer, treated with NAC followed by interval debulking surgery. We compared area under the receiver-operating characteristics curves (AUCs), false negative rate, and negative predictive value (NPV) using 10 different models for optimal cytoreduction and platinum resistance...
2018: PloS One
Steve Goodacre, Kimberley Horspool, Neil Shephard, Daniel Pollard, Beverley J Hunt, Gordon Fuller, Catherine Nelson-Piercy, Marian Knight, Steven Thomas, Fiona Lecky, Judith Cohen
BACKGROUND: Pulmonary embolism (PE) is a leading cause of death in pregnancy and post partum, but the symptoms of PE are common in normal pregnancy. Simple diagnostic tests are needed to select women for diagnostic imaging. OBJECTIVE: To estimate the accuracy, effectiveness and cost-effectiveness of clinical features, decision rules and biomarkers for selecting pregnant or postpartum women with a suspected PE for imaging. DESIGN: An expert consensus study to develop new clinical decision rules, a case-control study of women with a diagnosed PE or a suspected PE, a biomarker study of women with a suspected PE or diagnosed deep-vein thrombosis (DVT) and decision-analysis modelling...
August 2018: Health Technology Assessment: HTA
Wei Li, Yang Huang, Bo-Wen Zhuang, Guang-Jian Liu, Hang-Tong Hu, Xin Li, Jin-Yu Liang, Zhu Wang, Xiao-Wen Huang, Chu-Qing Zhang, Si-Min Ruan, Xiao-Yan Xie, Ming Kuang, Ming-De Lu, Li-Da Chen, Wei Wang
OBJECTIVE: To assess significant liver fibrosis by multiparametric ultrasomics data using machine learning. MATERIALS AND METHODS: This prospective study consisted of 144 patients with chronic hepatitis B. Ultrasomics-high-throughput quantitative data from ultrasound imaging of liver fibrosis-were generated using conventional radiomics, original radiofrequency (ORF) and contrast-enhanced micro-flow (CEMF) features. Three categories of features were explored using pairwise correlation and hierarchical clustering...
September 3, 2018: European Radiology
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"