A Multicenter, International Cohort Analysis of 1435 Patients to Support Clinical Trial Design in Acute Pancreatitis

Pancreatology ◽  
2019 ◽  
Vol 19 ◽  
pp. S147-S148
Author(s):  
Bálint Erőss ◽  
Nelli Farkas ◽  
Lilla Hanák ◽  
Alexandra Mikó ◽  
Aron Vincze ◽  
...  
2019 ◽  
Vol 10 ◽  
Author(s):  
Nelli Farkas ◽  
Lilla Hanák ◽  
Alexandra Mikó ◽  
Judit Bajor ◽  
Patrícia Sarlós ◽  
...  

2021 ◽  
pp. 2101396
Author(s):  
Justin M. Oldham ◽  
Cathryn T. Lee ◽  
Zhe Wu ◽  
Willis S. Bowman ◽  
Janelle Vu Pugashetti ◽  
...  

Proposed criteria for progressive fibrosing interstitial lung disease (PF-ILD) have been linked to increased mortality risk, but lung function trajectory after satisfying individual criterion remains unknown. Because survival is rarely employed as the primary endpoint in therapeutic trials, identifying PF-ILD criteria that best predict subsequent change in forced vital capacity (FVC) could improve clinical trial design. A retrospective, multi-center longitudinal cohort analysis was performed in consecutive patients with fibrotic connective tissue disease-associated ILD (CTD-ILD), chronic hypersensitivity pneumonitis and idiopathic interstitial pneumonia at three US centers (test cohort) and one UK center (validation cohort). One-year change in FVC after satisfying proposed PF-ILD criteria was estimated using joint modeling. Subgroup analyses were performed to determine whether results varied across key subgroups. One thousand two hundred twenty-seven patients were included, with CTD-ILD predominating. Six of nine PF-ILD criteria were associated with differential one-year change in FVC, with radiologic progression of fibrosis, alone and in combination with other features, associated with the largest subsequent decline in FVC. Findings varied significantly by ILD subtype, with CTD-ILD demonstrating little change in FVC after satisfying most PF-ILD criteria, while other ILDs showed significantly larger changes. Findings did not vary after stratification by radiologic pattern or exposure to immunosuppressant therapy. Near-term change in FVC after satisfying proposed PF-ILD criteria was heterogeneous depending on the criterion assessed and was strongly influenced by ILD subtype. These findings may inform future clinical trial design and suggest ILD subtype should be taken into consideration when applying PF-ILD criteria.


Author(s):  
Jessica J. Waninger ◽  
Michael D. Green ◽  
Catherine Cheze Le Rest ◽  
Benjamin Rosen ◽  
Issam El Naqa

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Stefanie Corradini ◽  
Maximilian Niyazi ◽  
Dirk Verellen ◽  
Vincenzo Valentini ◽  
Seán Walsh ◽  
...  

AbstractFuture radiation oncology encompasses a broad spectrum of topics ranging from modern clinical trial design to treatment and imaging technology and biology. In more detail, the application of hybrid MRI devices in modern image-guided radiotherapy; the emerging field of radiomics; the role of molecular imaging using positron emission tomography and its integration into clinical routine; radiation biology with its future perspectives, the role of molecular signatures in prognostic modelling; as well as special treatment modalities such as brachytherapy or proton beam therapy are areas of rapid development. More clinically, radiation oncology will certainly find an important role in the management of oligometastasis. The treatment spectrum will also be widened by the rational integration of modern systemic targeted or immune therapies into multimodal treatment strategies. All these developments will require a concise rethinking of clinical trial design. This article reviews the current status and the potential developments in the field of radiation oncology as discussed by a panel of European and international experts sharing their vision during the “X-Change” symposium, held in July 2019 in Munich (Germany).


2019 ◽  
pp. 1-10 ◽  
Author(s):  
Neha M. Jain ◽  
Alison Culley ◽  
Teresa Knoop ◽  
Christine Micheel ◽  
Travis Osterman ◽  
...  

In this work, we present a conceptual framework to support clinical trial optimization and enrollment workflows and review the current state, limitations, and future trends in this space. This framework includes knowledge representation of clinical trials, clinical trial optimization, clinical trial design, enrollment workflows for prospective clinical trial matching, waitlist management, and, finally, evaluation strategies for assessing improvement.


2020 ◽  
Vol 38 (6) ◽  
pp. 649-651 ◽  
Author(s):  
Francisco E. Vera-Badillo ◽  
Andrew J. Robinson ◽  
David M. Berman ◽  
Christopher M. Booth

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