Literature DB >> 31414121

Applying a Risk-benefit Analysis to Outcomes in Tuberculosis Clinical Trials.

Sachiko Miyahara1, Ritesh Ramchandani1, Soyeon Kim2, Scott R Evans3, Amita Gupta4, Susan Swindells5, Richard E Chaisson4, Grace Montepiedra1.   

Abstract

Although it is common to analyze efficacy and safety separately in clinical trials, this could yield a misleading study conclusion if an increase in efficacy is accompanied by a decrease in safety. A risk-benefit analysis is a systematic approach to examine safety and efficacy jointly. Both the "rank-based" and "partial-credit" methods described in this paper allow researchers to create a single, composite outcome incorporating efficacy, safety, and other factors. The first approach compares the distribution of rankings between arms. In the second approach, a score can be assigned to each outcome category, considering its severity and comparing the mean or median scores of arms. The methods were applied to the A5279/Brief Rifapentine-Isoniazid Efficacy for TB Prevention study, and design considerations for future clinical trials are discussed, including the challenge of arriving at a consensus on rankings/scorings. If well designed, a risk-benefit analysis may allow for a superiority comparison and, therefore, avoid setting a noninferiority margin. Clinical Trials Registration. NCT01404312 (A5279).
© The Author(s) 2019. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  TB; clinical trials; composite outcome ranking; risk-benefit analysis

Mesh:

Substances:

Year:  2020        PMID: 31414121      PMCID: PMC7319261          DOI: 10.1093/cid/ciz784

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  13 in total

1.  Combining mortality and longitudinal measures in clinical trials.

Authors:  D M Finkelstein; D A Schoenfeld
Journal:  Stat Med       Date:  1999-06-15       Impact factor: 2.373

2.  Correcting for noncompliance and dependent censoring in an AIDS Clinical Trial with inverse probability of censoring weighted (IPCW) log-rank tests.

Authors:  J M Robins; D M Finkelstein
Journal:  Biometrics       Date:  2000-09       Impact factor: 2.571

3.  Analysis of a clinical trial involving a combined mortality and adherence dependent interval censored endpoint.

Authors:  L A Moyé; B R Davis; C M Hawkins
Journal:  Stat Med       Date:  1992-09-30       Impact factor: 2.373

4.  DOOR/RADAR: A Gateway Into the Unknown?

Authors:  Patrick Peter John Phillips; Tim Peter Morris; Ann Sarah Walker
Journal:  Clin Infect Dis       Date:  2015-12-09       Impact factor: 9.079

5.  Large sample inference for a win ratio analysis of a composite outcome based on prioritized components.

Authors:  Ionut Bebu; John M Lachin
Journal:  Biostatistics       Date:  2015-09-08       Impact factor: 5.899

6.  Regression analysis based on pairwise ordering of patients' clinical histories.

Authors:  Dean A Follmann
Journal:  Stat Med       Date:  2002-11-30       Impact factor: 2.373

7.  Good Studies Evaluate the Disease While Great Studies Evaluate the Patient: Development and Application of a Desirability of Outcome Ranking Endpoint for Staphylococcus aureus Bloodstream Infection.

Authors:  Sarah B Doernberg; Thuy Tien Tram Tran; Steven Y C Tong; Mical Paul; Dafna Yahav; Joshua S Davis; Leonard Leibovici; Helen W Boucher; G Ralph Corey; Sara E Cosgrove; Henry F Chambers; Vance G Fowler; Scott R Evans; Thomas L Holland
Journal:  Clin Infect Dis       Date:  2019-05-02       Impact factor: 9.079

8.  Desirability of Outcome Ranking (DOOR) and Response Adjusted for Duration of Antibiotic Risk (RADAR).

Authors:  Scott R Evans; Daniel Rubin; Dean Follmann; Gene Pennello; W Charles Huskins; John H Powers; David Schoenfeld; Christy Chuang-Stein; Sara E Cosgrove; Vance G Fowler; Ebbing Lautenbach; Henry F Chambers
Journal:  Clin Infect Dis       Date:  2015-06-25       Impact factor: 9.079

9.  One Month of Rifapentine plus Isoniazid to Prevent HIV-Related Tuberculosis.

Authors:  Susan Swindells; Ritesh Ramchandani; Amita Gupta; Constance A Benson; Jorge Leon-Cruz; Noluthando Mwelase; Marc A Jean Juste; Javier R Lama; Javier Valencia; Ayotunde Omoz-Oarhe; Khuanchai Supparatpinyo; Gaerolwe Masheto; Lerato Mohapi; Rodrigo O da Silva Escada; Sajeeda Mawlana; Peter Banda; Patrice Severe; James Hakim; Cecilia Kanyama; Deborah Langat; Laura Moran; Janet Andersen; Courtney V Fletcher; Eric Nuermberger; Richard E Chaisson
Journal:  N Engl J Med       Date:  2019-03-14       Impact factor: 91.245

10.  Totality of outcomes: A different paradigm in assessing interventions for treatment of tuberculosis.

Authors:  Grace Montepiedra; Courtney M Yuen; Michael L Rich; Scott R Evans
Journal:  J Clin Tuberc Other Mycobact Dis       Date:  2016-08
View more
  3 in total

1.  Using a Composite Maternal-Infant Outcome Measure in Tuberculosis-Prevention Studies Among Pregnant Women.

Authors:  Grace Montepiedra; Soyeon Kim; Adriana Weinberg; Gerhard Theron; Timothy R Sterling; Sylvia M LaCourse; Sarah Bradford; Nahida Chakhtoura; Patrick Jean-Philippe; Scott Evans; Amita Gupta
Journal:  Clin Infect Dis       Date:  2021-08-02       Impact factor: 9.079

2.  A framework for considering the risk-benefit trade-off in designing noninferiority trials using composite outcome approaches.

Authors:  Grace Montepiedra; Ritesh Ramchandani; Sachiko Miyahara; Soyeon Kim
Journal:  Stat Med       Date:  2020-10-26       Impact factor: 2.373

3.  Risk-benefit analysis of tuberculosis infection testing for household contact management in high-burden countries: a mathematical modelling study.

Authors:  Courtney M Yuen; James A Seddon; Salmaan Keshavjee; Peter J Dodd
Journal:  Lancet Glob Health       Date:  2020-05       Impact factor: 26.763

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.