A personalized, web-based prognostic tool for resectable gastric cancer.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e15575-e15575
Author(s):  
Brice Jabo ◽  
John W. Morgan ◽  
Mayada A. Aljehani ◽  
Matthew J Selleck ◽  
Albert Y. Lin

e15575 Background: Gastric cancer (GC) mortality remains high, with a 5-year survival of 30 percent. For patients with resectable GC, mortality varies depending on both patient and tumor characteristics. The current study sought to develop a web-based prognostic model to assist patients and health care providers in decision making regarding either surgery-only or adjuvant chemoradiotherapy (CRT). Methods: California SEER data was used and records, including demographic, pathologic, and treatment information, for 2,583 patients diagnosed with stage IB to III GC and treated with either surgery only or adjuvant CRT from 2006 to 2013 were retrieved. Purposeful selection using Cox regression model was used to identify important mortality predictors. Additionally, with simple random sampling, 70% of the data were assigned to the training set and the remaining 30% were assigned to the test set. Furthermore, generalized boosted classification model was trained using the training set and validated using the test set. Area under the curve (AUC) of the receiver operating characteristic (ROC), sensitivity, specificity and accuracy were determined for 5- and 10-year mortality. Results: The median survival was 33 months for patients in the training set, and 32 for the test set. Predictors included in the model were age, ethnicity (Asian/other, Hispanic, non-Hispanic black and non-Hispanic white), T-stage, histology (intestinal, diffuse and other), presence of signet ring (yes/no), proximal location (yes/no), lymph node ratio, and CRT following surgery (yes/no). Validation of the model on the test set showed as follows: AUC, sensitivity, specificity and accuracy of 0.78(95%CI = 0.75,0.82), 0.75, 0.65 and 0.70 for 5-year survival and 0.77(95%CI = 0.74,0.80), 0.79, 0.55 and 0.70 for 10-year survival. Conclusions: The proposed web-based prognostic tool using readily available patient and tumor characteristic provides validated and personalized prognostic information to aide clinicians and patients in GC adjuvant treatment decision process. [Table: see text]

2021 ◽  
Vol 11 (5) ◽  
pp. 2039
Author(s):  
Hyunseok Shin ◽  
Sejong Oh

In machine learning applications, classification schemes have been widely used for prediction tasks. Typically, to develop a prediction model, the given dataset is divided into training and test sets; the training set is used to build the model and the test set is used to evaluate the model. Furthermore, random sampling is traditionally used to divide datasets. The problem, however, is that the performance of the model is evaluated differently depending on how we divide the training and test sets. Therefore, in this study, we proposed an improved sampling method for the accurate evaluation of a classification model. We first generated numerous candidate cases of train/test sets using the R-value-based sampling method. We evaluated the similarity of distributions of the candidate cases with the whole dataset, and the case with the smallest distribution–difference was selected as the final train/test set. Histograms and feature importance were used to evaluate the similarity of distributions. The proposed method produces more proper training and test sets than previous sampling methods, including random and non-random sampling.


10.2196/10193 ◽  
2018 ◽  
Vol 7 (9) ◽  
pp. e10193 ◽  
Author(s):  
Maria MT Vreugdenhil ◽  
Rudolf B Kool ◽  
Kees van Boven ◽  
Willem JJ Assendelft ◽  
Jan AM Kremer

Background In the Dutch health care system, general practitioners hold a central position. They store information from all health care providers who are involved with their patients in their electronic health records. Web-based access to the summary record in general practice through a personal health record (PHR) may increase patients’ insight into their medical conditions and help them to be involved in their care. Objective We describe the protocol that we will use to investigate the utilization of patients’ digital access to the summary of their medical records in general practice through a PHR and its effects on the involvement of patients in their care. Methods We will conduct a multilevel mixed-methods study in which the PHR and Web-based access to the summary record will be offered for 6 months to a random sample of 500 polypharmacy patients, 500 parents of children aged <4 years, and 500 adults who do not belong to the former two groups. At the patient level, a controlled before-after study will be conducted using surveys, and concurrently, qualitative data will be collected from focus group discussions, think-aloud observations, and semistructured interviews. At the general practice staff (GP staff) level, focus group discussions will be conducted at baseline and Q-methodology inquiries at the end of the study period. The primary outcomes at the patient level are barriers and facilitators for using the PHR and summary records and changes in taking an active role in decision making and care management and medication adherence. Outcomes at the GP staff level are attitudes before and opinions after the implementation of the intervention. Patient characteristics and changes in outcomes related to patient involvement during the study period will be compared between the users and nonusers of the intervention using chi-square tests and t tests. A thematic content analysis of the qualitative data will be performed, and the results will be used to interpret quantitative findings. Results Enrollment was completed in May 2017 and the possibility to view GP records through the PHR was implemented in December 2017. Data analysis is currently underway and the first results are expected to be submitted for publication in autumn 2019. Conclusions We expect that the findings of this study will be useful to health care providers and health care organizations that consider introducing the use of PHR and Web-based access to records and to those who have recently started using these. Trial Registration Netherlands Trial Registry NTR6395; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=6395 (Archived by WebCite at http://www.webcitation.org/71nc8jzwM) Registered Report Identifier RR1-10.2196/10193


2020 ◽  
Author(s):  
Immaculada Grau-Corral ◽  
Percy Efran Pantoja ◽  
Francisco J. Grajales III ◽  
Belchin Kostov ◽  
Valentí Aragunde ◽  
...  

BACKGROUND The presence of the mobile phone and devices is generating knowledge about the use of applications to support patient care, but there are few recommendations for apps dedicated to healthcare professionals OBJECTIVE To establish a validated scale to assess healthcare mobile applications is the most efficient step for health care providers and systems. The main goal is to create and validate a tool to evaluate health apps destined to be used by health professionals. METHODS A five steps simplified methodology to assess of the scale was followed. The first step consists of building a scale for professionals based on a literature review. Next step would be an expert panel validation by a Delphi method, rating web-based questionnaires to evaluate inclusion and weight of the indicators. It was agreed to carry out, as many iterations as necessary, to reach a consensus of 75%. Finally, a pilot of the score was developed to evaluate the reliability of the scale. For the inter-rater agreement assessment during the pilot, the Cohen Kappa was used. RESULTS After the literature review, a first scale draft was developed. Two rounds of interactions of the local investigation group and the external panel of experts were needed to select final indicators. Seventeen indicators were included in the score. For the pilot test, 280 apps were evaluated and 66 meet the criteria. The interrater agreement was strong (higher than 82% with significant kappa >0.72 per app and item). CONCLUSIONS We have developed, with a reproducible methodology, a tool that allows us to evaluate health applications for clinical, surgical and general medical providers. The ISYScore-PRO scale to be reliable and reproducible. The assessment permitted to consolidate every step of the methodology. We were able to reach consensus on the dimensions and items on the scale with only two rounds. The process of validation included two robust methodologies. The ISYScore-PRO scale is reliable and reproducible.


Molecules ◽  
2019 ◽  
Vol 24 (10) ◽  
pp. 2006 ◽  
Author(s):  
Liadys Mora Lagares ◽  
Nikola Minovski ◽  
Marjana Novič

P-glycoprotein (P-gp) is a transmembrane protein that actively transports a wide variety of chemically diverse compounds out of the cell. It is highly associated with the ADMET (absorption, distribution, metabolism, excretion and toxicity) properties of drugs/drug candidates and contributes to decreasing toxicity by eliminating compounds from cells, thereby preventing intracellular accumulation. Therefore, in the drug discovery and toxicological assessment process it is advisable to pay attention to whether a compound under development could be transported by P-gp or not. In this study, an in silico multiclass classification model capable of predicting the probability of a compound to interact with P-gp was developed using a counter-propagation artificial neural network (CP ANN) based on a set of 2D molecular descriptors, as well as an extensive dataset of 2512 compounds (1178 P-gp inhibitors, 477 P-gp substrates and 857 P-gp non-active compounds). The model provided a good classification performance, producing non error rate (NER) values of 0.93 for the training set and 0.85 for the test set, while the average precision (AvPr) was 0.93 for the training set and 0.87 for the test set. An external validation set of 385 compounds was used to challenge the model’s performance. On the external validation set the NER and AvPr values were 0.70 for both indices. We believe that this in silico classifier could be effectively used as a reliable virtual screening tool for identifying potential P-gp ligands.


2017 ◽  
Vol 75 (1) ◽  
pp. 50-56 ◽  
Author(s):  
Octávio Marques Pontes-Neto ◽  
Pedro Cougo ◽  
Sheila Cristina Ouriques Martins ◽  
Daniel G. Abud ◽  
Raul G. Nogueira ◽  
...  

ABSTRACT These guidelines are the result of a joint effort from writing groups of the Brazilian Stroke Society, the Scientific Department of Cerebrovascular Diseases of the Brazilian Academy of Neurology, the Brazilian Stroke Network and the Brazilian Society of Diagnostic and Therapeutic Neuroradiology. Members from these groups participated in web-based discussion forums with predefined themes, followed by videoconference meetings in which controversies and position statements were discussed, leading to a consensus. This guidelines focuses on the implications of the recent clinical trials on endovascular therapy for acute ischemic stroke due to proximal arterial occlusions, and the final text aims to guide health care providers, health care managers and public health authorities in managing patients with this condition in Brazil.


2018 ◽  
Vol 42 (2) ◽  
Author(s):  
Natalie Yoshioka ◽  
Douglas Cotanche ◽  
Alison Doubleday ◽  
Leah Lebowicz ◽  
John Daugherty

Embryology is essential for future health-care providers to understand due to clinical significance, since birth defects and prematurity are leading causes of disability and infant mortality. The lack of embryology visualizations presents a barrier to discovering embryonic relationships quickly and efficiently. A web-based, interactive timeline on body cavity partitioning was developed to allow users to discover key developmental landmarks of both normal and abnormal embryonic development. Body cavity partitioning was chosen as the area of focus, as organ system development is directly related to the embryonic spaces. Users can select events, which highlights related structures and defects with visual cues.


10.2196/18555 ◽  
2020 ◽  
Vol 4 (11) ◽  
pp. e18555
Author(s):  
Evangelia Kalaitzoglou ◽  
Edna Majaliwa ◽  
Margaret Zacharin ◽  
Carine de Beaufort ◽  
Jean-Pierre Chanoine ◽  
...  

Background Electronic learning (e-learning) is a widely accessible, low-cost option for learning remotely in various settings that allows interaction between an instructor and a learner. Objective We describe the development of a free and globally accessible multilingual e-learning module that provides education material on topics in pediatric endocrinology and diabetes and that is intended for first-line physicians and health workers but also trainees or medical specialists in resource-limited countries. Methods As complements to concise chapters, interactive vignettes were constructed, exemplifying clinical issues and pitfalls, with specific attention to the 3 levels of medical health care in resource-limited countries. The module is part of a large e-learning portal, ESPE e-learning, which is based on ILIAS (Integriertes Lern-, Informations- und Arbeitskooperations-System), an open-source web-based learning management system. Following a review by global experts, the content was translated by native French, Spanish, Swahili, and Chinese–speaking colleagues into their respective languages using a commercial web-based translation tool (SDL Trados Studio). Results Preliminary data suggest that the module is well received, particularly in targeted parts of the world and that active promotion to inform target users is warranted. Conclusions The e-learning module is a free globally accessible multilingual up-to-date tool for use in resource-limited countries that has been utilized thus far with success. Widespread use will require dissemination of the tool on a global scale.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1825-1825 ◽  
Author(s):  
Alexander B Pine ◽  
Nora B Chokr ◽  
Maximilian Stahl ◽  
David P. Steensma ◽  
Mikkael A. Sekeres ◽  
...  

Abstract Background. Gene mutation profiling is increasingly employed for diagnosis, risk stratification, and clinical management in patients with MDS. However, current World Health Organization MDS classification is still based on histologic findings (with the exception of SF3B1 for MDS-RS), and guidelines generally suggest that clinical decisions be guided by clinico-pathologic risk stratification tools such as Revised International Prognostic Scoring System (IPSS-R). We sought to study beliefs and patterns of practice with respect to gene mutation profiling among health care providers who manage patients with MDS. Methods. A link to a 23-question web-based survey was emailed to members of the Eastern Cooperative Oncology Group (ECOG)-ACRIN Cancer Research Group, Alliance for Clinical Trials in Oncology (Alliance), and the Southwest Oncology Group (SWOG), and the Cancer Trials Support Unit (CTSU) on 5/1/2018 with 6 subsequent weekly reminders. The Qualtrics survey platform was used to record anonymous responses. We used descriptive statistics to analyze the data. No incentive was provided for responses. Results. Of 371 received responses, 262 were received from providers who did not manage MDS patients or lacked analyzable data and therefore were excluded. Of 109 eligible responses, 108 responders were from institutions representing 31 US states (one respondent was from South America). Median age of respondents was 48 years (range, 33-75); 43 (39%) were women. A third of responders (32%) worked at a university hospital, while 25%, 17%, and 5% worked at a community hospital, private practice, or other settings, respectively. While 37% of participants worked at institutions with guidelines for clinical care of MDS patients, 28% reported that their institutional guidelines recommended MDS-specific gene mutation profiling. Such testing was performed at institutions of 13% participants; institutions of 26% of responders tested a general AML panel that included MDS-specific genes. The total number of respondents whose institutions sent out either an MDS-specific gene panel or a general AML gene panel with MDS-specific genes was similar, 25% and 12%, respectively (Fig. 1). Of those who routinely perform molecular testing, 94% do so at diagnosis, 56% at relapse, 33% during preparation for stem cell transplant, 31% after the failure of hypomethylating agents (HMA), 24% during screening for a clinical trial, and 15% at initial treatment (Fig. 2). MDS gene mutation profiling was felt to be most helpful in diagnosis (rarely 11%; sometimes 49%; often 30%; always 9%), risk stratification (sometimes 31%; often 51%; always 15%), and prognosis (sometimes 31%; often 51%; always 14%); its role was more limited in response assessment (never 12%; rarely 25%; sometimes 44%; often 14%) and to predict responses to HMAs (never 5%; rarely 28%; sometimes 52%, often 14%) (Fig. 3). Various types of evidence were used to stratify MDS risk and prognosis: genetic mutations were used by nearly everyone (95%); 70% relied on morphologic findings, while gene expression/transcriptome profiling was used by 40%. Eighty-four percent of responders reported relying on conventional prognostic models like IPSS-R to identify high-risk patients for whom they would consider intensive treatment options. For this purpose, 62% would also rely on mutation profiling, and 32% would also consider higher frequency of gene mutations. While mutations in the p53 pathway were felt to be helpful in terms of risk stratification and treatment decisions by 70% of responders, 43%, 39%, 31%, 26% 23%, 20%, and 3% considered mutations in spliceosome, DNA methylation, transcription factors, histone modification, signaling, RAS pathway, and cohesin genes, respectively, to be useful as well. Approximately 31% of responders were not certain as to which mutations would affect risk stratification and management choices and said they needed to review literature. The respondents also cited multiple limitations to wider clinical use of MDS gene mutation profiling (Fig. 4). Conclusions. Our survey demonstrates widespread use of gene mutation profiling in the management of patients with MDS, but also reveals substantial variability in beliefs, practices, testing logistics, and interpretation of molecular profiling. Our findings emphasize the need for high-quality data to develop consensus evidence-based guidelines for gene profiling of MDS patients. Disclosures Sekeres: Opsona: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Bejar:AbbVie/Genentech: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Foundation Medicine: Consultancy; Astex/Otsuka: Consultancy, Honoraria; Modus Outcomes: Consultancy; Takeda: Research Funding; Genoptix: Consultancy. Gore:Celgene: Consultancy, Research Funding. Zeidan:Ariad: Consultancy, Speakers Bureau; Gilead: Consultancy; Incyte: Employment; Celgene: Consultancy; Abbvie: Consultancy; Agios: Consultancy; Novartis: Consultancy; Pfizer: Consultancy.


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