The influence of clinical study design on cost-effectiveness projections for the treatment of gram-negative sepsis with human anti-endotoxin antibody

1995 ◽  
Vol 10 (4) ◽  
pp. 154-164 ◽  
Author(s):  
Peter K. Linden ◽  
Derek C. Angus ◽  
Lakshmipathi Chelluri ◽  
Robert A. Branch
2017 ◽  
Vol 23 (5) ◽  
pp. 644-646 ◽  
Author(s):  
Maria Pia Sormani

The calculation of the sample size needed for a clinical study is the challenge most frequently put to statisticians, and it is one of the most relevant issues in the study design. The correct size of the study sample optimizes the number of patients needed to get the result, that is, to detect the minimum treatment effect that is clinically relevant. Minimizing the sample size of a study has the advantage of reducing costs, enhancing feasibility, and also has ethical implications. In this brief report, I will explore the main concepts on which the sample size calculation is based.


Trials ◽  
2008 ◽  
Vol 9 (1) ◽  
Author(s):  
Richard Sutton ◽  
Emanuel Kanal ◽  
Bruce L Wilkoff ◽  
David Bello ◽  
Roger Luechinger ◽  
...  

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Simon Portsmouth ◽  
Almasa Bass ◽  
Roger Echols ◽  
Glenn Tillotson

Abstract Background For new antibiotics developed to treat antibiotic-resistant Gram-negative infections, the US Food and Drug Administration (FDA) regulatory pathway includes complicated urinary tract infection (cUTI) clinical trials in which the clinical isolates are susceptible to the active control. This allows for inferential testing in a noninferiority study design. Although complying with regulatory guidelines, individual clinical trials may differ substantially in design and patient population. To determine variables that impacted patient selection and outcome parameters, 6 recent cUTI trials that were pivotal to an new drug application (NDA) submission were reviewed. Methods This selective descriptive analysis utilized cUTI trial data, obtained from publicly disclosed information including FDA documents and peer-reviewed publications, from 6 new antibiotics developed to treat multidrug-resistant Gram-negative infections: ceftolozane-tazobactam, ceftazidime-avibactam, meropenem-vaborbactam, cefiderocol, plazomicin, and fosfomycin. Eravacycline was not approved for cUTI and is not included. Results Microbiologic modified intent-to-treat sample size, age, proportions of female patients, acute pyelonephritis (AP), Escherichia coli and other pathogens at baseline, protocol-specified switch to oral antibiotic, and the noninferiority margin were compared. Outcome data included clinical response, microbiologic eradication, and composite outcomes, including a subset of patients with AP. Conclusions A study design can follow regulatory guidelines but still have variable populations. The proportion of AP within a study varied greatly and influenced population demographics (age, gender) and baseline microbiology. A smaller proportion of AP resulted in an older patient population, fewer females, less E coli, and lower proportions of patients achieving success. Fluoroquinolones and piperacillin/tazobactam should be reconsidered as active comparators given the high rates of resistance to these antibiotics.


2020 ◽  
Author(s):  
Naomi Hillery ◽  
Marva Seifert ◽  
Donald G Catanzaro ◽  
Symone McKinnon ◽  
Rebecca E Colman ◽  
...  

BACKGROUND Extensively drug-resistant tuberculosis (XDR-TB) continues to be a serious threat to global public health, due in part to the lack of accurate and efficient diagnostic devices for XDR-TB. A prospective clinical study in an intended-use cohort was designed to evaluate the Akonni Biosystems XDR-TB TruArray® and Lateral Flow Cell (XDR-LFC), which has the potential to address this gap in TB diagnostics. OBJECTIVE The objective of this publication is to share documentation of the study conceptualization and design that is replicable and of use to the scientific community. METHODS This clinical study was conducted in three phases, the first to observe changes in bacterial load and culture positivity in patient sputa over time and better understand the diversity of prospective clinical samples, the second to prospectively collect clinical samples for sensitivity and specificity testing of the Akonni Biosystems XDR-LFC device, and the third to explore anti-TB drug concentrations in serum over the course of DR-TB treatment. RESULTS The methodology described includes the study design, laboratory sample handling, data collection, and human subjects protection elements of the clinical study to evaluate a potential new XDR-TB diagnostic device. The complex systems implemented facilitated thorough clinical data collection for objective evaluation of the device. This trial is closed to recruitment. Follow-up data collection and analysis are in progress. CONCLUSIONS This publication outlined the methods used in a prospective cohort study to evaluate a device to rapidly detect XDR-TB. The documentation of this clinical study design may be of use to other researchers with similar goals.


Neurosurgery ◽  
2019 ◽  
Vol 86 (1) ◽  
pp. 14-18
Author(s):  
Christopher E Louie ◽  
Erin D’Agostino ◽  
Alexander Woods ◽  
Timothy Ryken

Abstract There is inadequate neurosurgical literature discussing appropriate clinical study design. Here, we explore considerations for 2 fundamental study designs of epidemiology: experimental and observational cohort studies, through examples of theoretical yet realistic neurosurgical research questions. By examining 2 common neurosurgical procedures—namely, subdural drains for evacuation of chronic subdural hematoma, and the utility of navigation for placing external ventricular drains—we characterize the framework of cohort study models for clinical research applications.


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