scholarly journals Validity of social media for assessing treatment patterns in oncology patients: a case study in melanoma

JAMIA Open ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 416-422
Author(s):  
Laura McDonald ◽  
Varun Behl ◽  
Vijayarakhavan Sundar ◽  
Faisal Mehmud ◽  
Bill Malcolm ◽  
...  

Abstract There is a need to understand how patients are managed in the real world to better understand disease burden and unmet need. Traditional approaches to gather these data include the use of electronic medical record (EMR) or claims databases; however, in many cases data access policies prevent rapid insight gathering. Social media may provide a potential source of real-world data to assess treatment patterns, but the limitations and biases of doing so have not yet been evaluated. Here, we assessed whether patient treatment patterns extracted from publicly available patient forums compare to results from more traditional EMR and claims databases. We observed that the 95% confidence intervals of proportions of treatments received at first, second, and third line for advanced/metastatic melanoma generated from unstructured social media data overlapped with 95% confidence intervals from proportions obtained from 1 or more traditional EMR/Claims databases. Social media may offer a valid data option to understand treatment patterns in the real world.

2019 ◽  
Author(s):  
Olawale Ayilara ◽  
Robert W Platt ◽  
Matthew Dahl ◽  
Janie Coulombe ◽  
Pablo Gonzalez Ginestet ◽  
...  

Abstract Background: Administrative health records (AHRs), which are generated primarily for management and billing purposes, are now widely used in drug safety and comparative effectiveness studies. The development of analytic methods for multi-site studies can benefit from the availability of simulated data, which do not require ethical approvals and data access permissions. We simulated AHRs using both the Observational Medical Dataset Simulator II (OSIM2) proposed by the Observational Medical Outcomes Partnership, and a modified OSIM (ModOSIM) method developed by the Canadian Network for Observational Drug Effect Studies (CNODES). Our objective was to compare the simulated data to real-world AHR data to assess the representativeness of the simulated data.Methods: The real-world data comprised prescription drug records for all individuals with healthcare coverage at any point in a 10-year period (2008 – 2017) from the Manitoba Population Research Data Repository (MPRDR) in the province of Manitoba, Canada. OSIM2 and ModOSIM, which are empirical simulation models for longitudinal patient data, were used to simulate AHRs. The data were described using frequencies and percentages. We estimated agreement of prescription drug use measures in MPRDR, OSIM2 and ModOSIM using the concordance coefficient.Results: The MPRDR cohort included 169,586,633 drug records and 1,395 drug types for 1,604,734 individuals. Data for 50,000 individuals were simulated using OSIM2 and ModOSIM. Sex and age group distributions were similar in the real-world and simulated data. There were significant differences in the total number of drug records and number of unique drugs for OSIM2 and ModOSIM when compared with MPRDR; the median number of unique drugs in MPRDR, OSIM2 and ModOSIM was 9.0, 6.0 and 10.0, respectively. For average number of days of drug use, concordance was 16% (95% confidence interval [CI]: 12% – 19%) for MPRDR and OSIM2 and 88% (95% CI: 87%-90%) for MPRDR and ModOSIM.Conclusions: ModOSIM data were more similar to MPRDR than OSIM2 data on many measures of prescription drug use. Simulated AHRs that are consistent with those found in real-world settings can be generated using ModOSIM; these simulated data will benefit methodological studies and data analyst training.


2019 ◽  
Author(s):  
Olawale Ayilara ◽  
Robert W Platt ◽  
Matthew Dahl ◽  
Janie Coulombe ◽  
Pablo Gonzalez Ginestet ◽  
...  

Abstract Background: Administrative health records (AHRs), which are generated primarily for management and billing purposes, are now widely used in drug safety and comparative effectiveness studies. The development of analytic methods for multi-site studies can benefit from the availability of simulated data, which do not require ethical approvals and data access permissions. We simulated AHRs using both the Observational Medical Dataset Simulator II (OSIM2) proposed by the Observational Medical Outcomes Partnership, and a modified OSIM (ModOSIM) method developed by the Canadian Network for Observational Drug Effect Studies (CNODES). Our objective was to compare the simulated data to real-world AHR data to assess the representativeness of the simulated data.Methods: The real-world data comprised prescription drug records for all individuals with healthcare coverage at any point in a 10-year period (2008 – 2017) from the Manitoba Population Research Data Repository (MPRDR) in the province of Manitoba, Canada. OSIM2 and ModOSIM, which are empirical simulation models for longitudinal patient data, were used to simulate AHRs. The data were described using frequencies and percentages. We estimated agreement of prescription drug use measures in MPRDR, OSIM2 and ModOSIM using the concordance coefficient.Results: The MPRDR cohort included 169,586,633 drug records and 1,395 drug types for 1,604,734 individuals. Data for 50,000 individuals were simulated using OSIM2 and ModOSIM. Sex and age group distributions were similar in the real-world and simulated data. There were significant differences in the total number of drug records and number of unique drugs for OSIM2 and ModOSIM when compared with MPRDR; the median number of unique drugs in MPRDR, OSIM2 and ModOSIM was 9.0, 6.0 and 10.0, respectively. For average number of days of drug use, concordance was 16% (95% confidence interval [CI]: 12% – 19%) for MPRDR and OSIM2 and 88% (95% CI: 87%-90%) for MPRDR and ModOSIM.Conclusions: ModOSIM data were more similar to MPRDR than OSIM2 data on many measures of prescription drug use. Simulated AHRs that are consistent with those found in real-world settings can be generated using ModOSIM; these simulated data will benefit methodological studies and data analyst training.


Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1043-P
Author(s):  
JENNIFER E. LAYNE ◽  
JIALUN HE ◽  
JAY JANTZ ◽  
YIBIN ZHENG ◽  
ERIC BENJAMIN ◽  
...  

Author(s):  
Louisa Oliver ◽  
louisa oliver ◽  
Sameer Ghate ◽  
On-yee Wong ◽  
Neal Shore ◽  
...  

2020 ◽  
Vol 24 (1) ◽  
pp. 58
Author(s):  
Anwar Hafidzi

This research begins with an understanding of the endemic radicalism of society, not only of the real world, but also of various online social media. This study showed that the avoidance of online radicalism can be stopped as soon as possible by accusing those influenced by the radical radicality of a secular religious approach. The methods used must be assisted in order to achieve balanced understanding (wasathiyah) under the different environmental conditions of the culture through recognizing the meaning of religion. The research tool used is primarily library work and the journal writings by Abu Rokhmad, a terrorist and radicalise specialist. The results of this study are that an approach that supports inclusive ism will avoid the awareness of radicalization through a heart-to-heart approach. This study also shows that radical actors will never cease to argue dramatically until they are able to grasp different views from Islamic law, culture, and families.Keywords: radicalism, deradicalization, multiculturalism, culture, religion, moderate.Penelitian ini berawal dari paham radikalisme yang telah mewabah di masyarakat, bukan hanya di dunia nyata, bahkan sudah menyusup di berbagai media sosial online. Penelitian ini menemukan bahwa cara menangkal radikalisme online dapat dilakukan pencegahan sedini mungkin melalui pendekatan konseling religius multikultural terhadap mereka yang terkena paham radikal radikal. Diantara teknik yang digunakan adalah melalui pemahaman tentang konsep agama juga perlu digalakkan agar memunculkan pemahaman yang moderat (wasathiyah) diberbagai keadaan lingkungan masyarakat. Metode yang digunakan untuk penelitian ini adalah library research dengan sumber utama adalah karya dan jurnal karya Abu Rokhmad seorang pakar dalam masalah terorisme dan radikalisme. Temuan penelitian ini adalah paham radikalisasi itu dapat dihentikan dengan pendekatan hati ke hati dengan mengedepankan budaya yang multikultural. Kajian ini juga membuktikan bahwa pelaku paham radikal tidak akan pernah berhenti memberikan argumen radikal kecuali mampu memahami perbedaan pendapat yang bersumber dari syariat Islam, lingkungan sosial, dan keluarga.Kata kunci: radikalisme, deradikalisasi, multikultural, budaya, agama, moderat.


2019 ◽  
Vol 147 (5) ◽  
pp. 1429-1445 ◽  
Author(s):  
Yuchu Zhao ◽  
Zhengyu Liu ◽  
Fei Zheng ◽  
Yishuai Jin

Abstract We performed parameter estimation in the Zebiak–Cane model for the real-world scenario using the approach of ensemble Kalman filter (EnKF) data assimilation and the observational data of sea surface temperature and wind stress analyses. With real-world data assimilation in the coupled model, our study shows that model parameters converge toward stable values. Furthermore, the new parameters improve the real-world ENSO prediction skill, with the skill improved most by the parameter of the highest climate sensitivity (gam2), which controls the strength of anomalous upwelling advection term in the SST equation. The improved prediction skill is found to be contributed mainly by the improvement in the model dynamics, and second by the improvement in the initial field. Finally, geographic-dependent parameter optimization further improves the prediction skill across all the regions. Our study suggests that parameter optimization using ensemble data assimilation may provide an effective strategy to improve climate models and their real-world climate predictions in the future.


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tae-Hwan Kim ◽  
Hun Do Cho ◽  
Yong Won Choi ◽  
Hyun Woo Lee ◽  
Seok Yun Kang ◽  
...  

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.


Author(s):  
Akihiko Umazume ◽  
Nobuyuki Ohguro ◽  
Annabelle A. Okada ◽  
Kenichi Namba ◽  
Koh-Hei Sonoda ◽  
...  

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