Literature DB >> 25893990

Treatment switching in oncology trials and the acceptability of adjustment methods.

Nicholas R Latimer1.   

Abstract

Treatment switching has become an important issue in the development and approval of new drugs, particularly in oncology. Randomized controlled trials (RCTs) represent the gold standard for evaluating the effectiveness of interventions, but often patients randomized to the control group are permitted to switch onto the experimental treatment at some point during the trial. This is important, because standard statistical approaches used to analyze RCTs compare groups as randomized, based upon an intention-to-treat principle. When patients in both groups receive the new drug, such analyses do not provide an accurate estimate of the comparative effectiveness of the two treatments. This may lead to inappropriate decision-making - cost-effective drugs may not be approved. Limited healthcare finances may be used inefficiently. Health-related quality-of-life and lives may be lost.

Entities:  

Keywords:  economic evaluation; oncology; survival analysis; treatment crossover; treatment switching

Mesh:

Substances:

Year:  2015        PMID: 25893990     DOI: 10.1586/14737167.2015.1037835

Source DB:  PubMed          Journal:  Expert Rev Pharmacoecon Outcomes Res        ISSN: 1473-7167            Impact factor:   2.217


  7 in total

1.  Adjusting Overall Survival Estimates after Treatment Switching: a Case Study in Metastatic Castration-Resistant Prostate Cancer.

Authors:  Konstantina Skaltsa; Cristina Ivanescu; Shevani Naidoo; Stefan Holmstrom; Nicholas R Latimer
Journal:  Target Oncol       Date:  2017-02       Impact factor: 4.493

2.  Two-stage estimation to adjust for treatment switching in randomised trials: a simulation study investigating the use of inverse probability weighting instead of re-censoring.

Authors:  N R Latimer; K R Abrams; U Siebert
Journal:  BMC Med Res Methodol       Date:  2019-03-29       Impact factor: 4.615

3.  Maximizing the value of phase III trials in immuno-oncology: A checklist from the Society for Immunotherapy of Cancer (SITC).

Authors:  Michael B Atkins; Hamzah Abu-Sbeih; Paolo A Ascierto; Michael R Bishop; Daniel S Chen; Madhav Dhodapkar; Leisha A Emens; Marc S Ernstoff; Robert L Ferris; Tim F Greten; James L Gulley; Roy S Herbst; Rachel W Humphrey; James Larkin; Kim A Margolin; Luca Mazzarella; Suresh S Ramalingam; Meredith M Regan; Brian I Rini; Mario Sznol
Journal:  J Immunother Cancer       Date:  2022-09       Impact factor: 12.469

4.  Adjusting Overall Survival Estimates for Treatment Switching in Metastatic, Castration-Sensitive Prostate Cancer: Results from the LATITUDE Study.

Authors:  Susan Feyerabend; Fred Saad; Nolen Joy Perualila; Suzy Van Sanden; Joris Diels; Tetsuro Ito; Peter De Porre; Karim Fizazi
Journal:  Target Oncol       Date:  2019-12       Impact factor: 4.493

5.  Improved two-stage estimation to adjust for treatment switching in randomised trials: g-estimation to address time-dependent confounding.

Authors:  N R Latimer; I R White; K Tilling; U Siebert
Journal:  Stat Methods Med Res       Date:  2020-03-30       Impact factor: 3.021

6.  Exploring the Impact of Treatment Switching on Overall Survival from the PROfound Study in Homologous Recombination Repair (HRR)-Mutated Metastatic Castration-Resistant Prostate Cancer (mCRPC).

Authors:  Rachel Evans; Neil Hawkins; Pascale Dequen-O'Byrne; Charles McCrea; Dominic Muston; Christopher Gresty; Sameer R Ghate; Lin Fan; Robert Hettle; Keith R Abrams; Johann de Bono; Maha Hussain; Neeraj Agarwal
Journal:  Target Oncol       Date:  2021-09-03       Impact factor: 4.493

7.  Estimating the treatment effect in patients with gastric cancer in the presence of noncompliance.

Authors:  Malihe Safari; Hossein Mahjub; Habib Esmaeili; Sanambar Sadighi
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2021
  7 in total

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