scholarly journals Comparing the quality of data from several clinical trials

1992 ◽  
Vol 160 (1) ◽  
pp. 126-126 ◽  
Author(s):  
Peter Tyrer ◽  
Jonathan Tyrer
Keyword(s):  
Clinical Trials ◽  
Quality Of Data

scholarly journals COVID-19 and Its Impact on Cancer Patient’s Outcome and Cancer Research

2020 ◽  
Vol 5 (S1) ◽  
pp. 199-201
Author(s):  
Nalin Goyal ◽  
Deepak Saini ◽  
Harpreet Angural ◽  
Richa Richa ◽  
Vikrant Kaushal ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Cancer Patients ◽  
Cancer Care ◽  
Quality Of Data ◽  
Oncological Treatment ◽  
Immunocompromised Status ◽  
Coronavirus Infection ◽  
Patient’S Outcome ◽  
Care System

The current coronavirus pandemic has severely impacted the health care system in India and all around the world. All aspects of cancer care, including screening, investigations, treatment, clinical trials and research, have been affected as resources are diverted to combat the pandemic. Cancer patients are more susceptible to infections due to their immunocompromised status, either due to disease or therapy, and subsequently, this may result in in poor outcome, especially in case of coronavirus infection. Multiple studies have shown adverse impact of COVID-19 on cancer patients in form of higher mortality with haematological malignancy being worst affected, and interval between last oncological treatment and infection playing an important role in affecting the prognosis. Impact on clinical trials in oncology has been severe. Enrolment has decreased significantly, many trials have been suspended, and ongoing trials are facing problems with patient evaluations leading to impact on quality of data being generated. Telemedicine is now being used to overcome some of these problems but it has its own limitations and should be used judiciously. The pandemic has given us an opportunity to look into the shortcomings of our cancer care system and to find out ways to overcome them.

scholarly journals A New Software Development Methodology for Clinical Trial Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-13
Author(s):  
Li-Min Liu
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Software Development ◽  
Quality Of Data ◽  
High Quality ◽  
Development Methodology ◽  
Software Development Methodology ◽  
The Government ◽  
New Software Development

Clinical trials are crucial to modern healthcare industries, and information technologies have been employed to improve the quality of data collected in trials and reduce the overall cost of data processing. While developing software for clinical trials, one needs to take into account the similar patterns shared by all clinical trial software. Such patterns exist because of the unique properties of clinical trials and the rigorous regulations imposed by the government for the reasons of subject safety. Among the existing software development methodologies, none, unfortunately, was built specifically upon these properties and patterns and therefore works sufficiently well. In this paper, the process of clinical trials is reviewed, and the unique properties of clinical trial system development are explained thoroughly. Based on the properties, a new software development methodology is then proposed specifically for developing electronic clinical trial systems. A case study shows that, by adopting the proposed methodology, high-quality software products can be delivered on schedule within budget. With such high-quality software, data collection, management, and analysis can be more efficient, accurate, and inexpensive, which in turn will improve the overall quality of clinical trials.

scholarly journals Technology for Measuring and Monitoring Treatment Compliance Remotely

2021 ◽  
pp. 1-5
Author(s):  
Richard H. Christie ◽  
Anzar Abbas ◽  
Vidya Koesmahargyo
Keyword(s):  
Clinical Trials ◽  
Clinical Study ◽  
Neurological Disorders ◽  
Treatment Compliance ◽  
Quality Of Data ◽  
Efficacy Data ◽  
Safety And Efficacy ◽  
Study Sites ◽  
Monitoring Treatment

Medication non-adherence during clinical trials is an ongoing challenge that can result in insufficient safety and efficacy data. For patients with Parkinson’s disease and other neurological disorders, symptomatology such as forgetfulness compounds traditional obstacles to adherence. Today, sponsors and clinical study sites can call upon various technology tools that improve adherence by monitoring and confirming dosage in near real-time. These tools have the potential to improve the quality of data gleaned from these studies.

Improving the quality of data in randomized clinical trials: The compact computer package. Compact steering committee

1988 ◽  
Vol 7 (11) ◽  
pp. 1165-1170 ◽  
Author(s):  
C. E. D. Chilvers ◽  
P. M. Fayers ◽  
L. S. Freedman ◽  
R. M. Greenwood ◽  
D. Machin ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Randomized Clinical Trials ◽  
Steering Committee ◽  
Quality Of Data ◽  
Computer Package

Methods to Monitor and Improve the Performance of Specimen Holders for Transmission Electron Cryomicroscopy

1996 ◽  
Vol 54 ◽  
pp. 454-455
Author(s):  
B. L. Armbruster ◽  
B. Kraus ◽  
M. Pan
Keyword(s):  
Electron Microscopy ◽  
Electron Beam ◽  
Electron Beam Irradiation ◽  
Beam Irradiation ◽  
Quality Of Data ◽  
Electron Cryomicroscopy ◽  
Thermal Equilibration ◽  
Transmission Electron ◽  
Electron Microscopes

One goal in electron microscopy of biological specimens is to improve the quality of data to equal the resolution capabilities of modem transmission electron microscopes. Radiation damage and beam- induced movement caused by charging of the sample, low image contrast at high resolution, and sensitivity to external vibration and drift in side entry specimen holders limit the effective resolution one can achieve. Several methods have been developed to address these limitations: cryomethods are widely employed to preserve and stabilize specimens against some of the adverse effects of the vacuum and electron beam irradiation, spot-scan imaging reduces charging and associated beam-induced movement, and energy-filtered imaging removes the “fog” caused by inelastic scattering of electrons which is particularly pronounced in thick specimens.Although most cryoholders can easily achieve a 3.4Å resolution specification, information perpendicular to the goniometer axis may be degraded due to vibration. Absolute drift after mechanical and thermal equilibration as well as drift after movement of a holder may cause loss of resolution in any direction.

Sign in / Sign up

Export Citation Format

Share Document