Real-life data on the impact of successful downstaging in patients with hepatocellular carcinoma: A Dutch Multicenter Study

BACKGROUND There are many scales for screening or assessing the impact of a disease. These scales are generally used to diagnose or assess the severity of a disease and are carried out by doctors. The Vik Migraine chatbot helps patients suffering from headaches through personalized text messages, it could be used to collect patient-reported outcomes. OBJECTIVE The aims of this study were (1) to assess the feasibility of collecting a chatbot-mediated reference scale, (2) perform a remote diagnosis of the severity of the migraines and (3) assess the patient satisfaction and engagement with the chatbot. METHODS This study was conducted in France from December 2019 to March 2020. Voluntary users of the chatbot Vik Migraine were recruited online. They had to be adults and suffer from chronic migraines. An adapted version of the IHS questionnaire was presented to the participants by text messages. The Lickert scale ranging from 1 to 5 was used to assess overall satisfaction with the use of Vik Migraine. RESULTS We included 636 participants with migraines or headaches. A total of 89.94% (572) participants had fully completed the IHS questionnaire (8 items), 4.72% (30) had partially completed it and 5.35% (34) had refused to complete it. The evaluation of overall satisfaction shows that a total of 80.7% (513) of users agreed or strongly agreed with the affirmation that Vik Migraine provides quality answers about the pathology or its information. CONCLUSIONS We hypothesized that a virtual assistant built to support migraine patients could be used to retrieve patient data remotely, such as medical assessment scales. The study confirmed this hypothesis and showed that users were strongly engaged through to chatbot: out of the total number of participants, we observed a very low number of uncompleted questionnaires.

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Utility of PCR in Diagnosis of Invasive Fungal Infections: Real-Life Data from a Multicenter Study

Journal of Clinical Microbiology ◽

10.1128/jcm.02965-12 ◽

2012 ◽

Vol 51 (3) ◽

pp. 863-868 ◽

Cited By ~ 31

Author(s):

Cornelia Lass-Flörl ◽

Wolfgang Mutschlechner ◽

Maria Aigner ◽

Katharina Grif ◽

Claudia Marth ◽

...

Keyword(s):

Multicenter Study ◽

Fungal Infections ◽

Real Life ◽

Invasive Fungal Infections ◽

Life Data ◽

Real Life Data

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A teaching tool about the fickle p value and other statistical principles based on real-life data

Naunyn-Schmiedeberg s Archives of Pharmacology ◽

10.1007/s00210-020-02045-3 ◽

2021 ◽

Author(s):

Salem Alawbathani ◽

Mehreen Batool ◽

Jan Fleckhaus ◽

Sarkawt Hamad ◽

Floyd Hassenrück ◽

...

Keyword(s):

Statistical Analysis ◽

Real Life ◽

Real Data ◽

P Value ◽

Life Data ◽

Real Life Data ◽

Random Samples ◽

Poor Understanding ◽

The Impact

AbstractA poor understanding of statistical analysis has been proposed as a key reason for lack of replicability of many studies in experimental biomedicine. While several authors have demonstrated the fickleness of calculated p values based on simulations, we have experienced that such simulations are difficult to understand for many biomedical scientists and often do not lead to a sound understanding of the role of variability between random samples in statistical analysis. Therefore, we as trainees and trainers in a course of statistics for biomedical scientists have used real data from a large published study to develop a tool that allows scientists to directly experience the fickleness of p values. A tool based on a commonly used software package was developed that allows using random samples from real data. The tool is described and together with the underlying database is made available. The tool has been tested successfully in multiple other groups of biomedical scientists. It can also let trainees experience the impact of randomness, sample sizes and choice of specific statistical test on measured p values. We propose that live exercises based on real data will be more impactful in the training of biomedical scientists on statistical concepts.

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Vehicle to Grid Impacts on the Total Cost of Ownership for Electric Vehicle Drivers

World Electric Vehicle Journal ◽

10.3390/wevj12040236 ◽

2021 ◽

Vol 12 (4) ◽

pp. 236

Author(s):

Dominik Huber ◽

Quentin De Clerck ◽

Cedric De Cauwer ◽

Nikolaos Sapountzoglou ◽

Thierry Coosemans ◽

...

Keyword(s):

Electric Vehicles ◽

Real Life ◽

Total Cost Of Ownership ◽

Total Cost ◽

Vehicle To Grid ◽

Life Data ◽

Cost Of Ownership ◽

Real Life Data ◽

Revenue Streams ◽

The Impact

Electric vehicles (EV) are foreseen as one major technology toward decarbonizing the mobility sector. At the same time, Vehicle to Grid (V2G) technology opens a new market for EV owners. This article identifies the impacts of providing V2G services on the Total Cost of Ownership (TCO) of EVs. Thus, we studied EVs in private, semi-public and public charging cases, considering two different V2G revenue streams. The included V2G services were: (i) local load balancing to balance the peaks and valleys of the electricity demands of buildings and (ii) an imbalance service to enhance grid stability. In this paper, the impact of these two V2G services is quantified and considered in the TCO calculations. To the authors’ knowledge, no comparable study incorporating the same V2G services exists in the literature. The TCO is calculated with real-life data for four different EVs currently available in the market. As a result, the V2G TCO ranges from €33.167 to €61.436 over an average of nine years for the Flanders region (Belgium).

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