How are physicians treating patients with Gorlin syndrome in the real world? Data from the RegiSONIC disease registry

2017 ◽  
Vol 76 (6) ◽  
pp. AB157
Keyword(s):  
Real World ◽  
Gorlin Syndrome ◽  
Disease Registry ◽  
Real World Data ◽  
World Data ◽  
The Real

scholarly journals Trastuzumab-based palliative chemotherapy for HER2-positive gastric cancer: a single-center real-world data

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tae-Hwan Kim ◽  
Hun Do Cho ◽  
Yong Won Choi ◽  
Hyun Woo Lee ◽  
Seok Yun Kang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Real World ◽  
Group Performance ◽  
Eastern Cooperative Oncology Group ◽  
Conversion Surgery ◽  
Single Center ◽  
Her2 Positive ◽  
Real World Data ◽  
World Data ◽  
The Real

Abstract Background Since the results of the ToGA trial were published, trastuzumab-based chemotherapy has been used as the standard first-line treatment for HER2-positive recurrent or primary metastatic gastric cancer (RPMGC). However, the real-world data has been rarely reported. Therefore, we investigated the outcomes of trastuzumab-based chemotherapy in a single center. Methods This study analyzed the real-world data of 47 patients with HER2-positive RPMGC treated with trastuzumab-based chemotherapy in a single institution. Results With the median follow-up duration of 18.8 months in survivors, the median overall survival (OS) and progression-free survival were 12.8 and 6.9 months, respectively, and the overall response rate was 64%. Eastern Cooperative Oncology Group performance status 2 and massive amount of ascites were independent poor prognostic factors for OS, while surgical resection before or after chemotherapy was associated with favorable OS, in multivariate analysis. In addition, 5 patients who underwent conversion surgery after chemotherapy demonstrated an encouraging median OS of 30.8 months, all with R0 resection. Conclusions Trastuzumab-based chemotherapy in patients with HER2-positive RPMGC in the real world demonstrated outcomes almost comparable to those of the ToGA trial. Moreover, conversion surgery can be actively considered in fit patients with a favorable response after trastuzumab-based chemotherapy.

Surgery for metastases for esophageal-gastric cancer in the real world: Data from the AGAMENON national registry

2018 ◽  
Vol 44 (8) ◽  
pp. 1191-1198 ◽  
Author(s):  
Alberto Carmona-Bayonas ◽  
Paula Jiménez-Fonseca ◽  
Isabel Echavarria ◽  
Manuel Sánchez Cánovas ◽  
Gema Aguado ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Real World ◽  
National Registry ◽  
Real World Data ◽  
World Data ◽  
The Real

scholarly journals A Novel Prediction Process of the Remaining Useful Life of Electric Vehicle Battery Using Real-World Data

Processes ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 2174
Author(s):  
Xu Wang ◽  
Jian Li ◽  
Ben-Chang Shia ◽  
Yi-Wei Kao ◽  
Chieh-Wen Ho ◽  
...  
Keyword(s):  
Inventory Management ◽  
Real World ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
Real World Data ◽  
World Data ◽  
The Real ◽  
Battery Capacity ◽  
Useful Life ◽  
Online Process

In modern society, environmental sustainability is always a top priority, and thus electric vehicles (EVs) equipped with lithium-ion batteries are becoming more and more popular. As a key component of EVs, the remaining useful life of battery directly affects the demand of the EV supply chain. Accurate prediction of the remaining useful life (RUL) benefits not only EV users but also the battery inventory management. There are many existing methods to predict RUL based on state of health (SOH), but few of them are suitable for real-world data. There are several difficulties: (1) battery capacity is not easy to obtain in the real world; (2) most of these methods use the individual data for each battery, and the computing processes are difficult to perform in the cloud; (3) there is a lack of approaches for real-time SOH estimating and RUL predicting. This paper adopts several statistical methods to perform the prediction and compars the results of different models on experimental data (NASA dataset). Then, real-world data were implemented for an online process of RUL prediction. The main finding of this research is that the required CPU time was short enough to meet the daily usage after the real-world data was implemented for an online process of RUL prediction. The feasibility and precision of the prediction model can help to support the frequency control in power systems.

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