Literature DB >> 30661240

Demonstrating Heterogeneity of Treatment Effects Among Patients: An Overlooked but Important Step Toward Precision Medicine.

Jennifer S Gewandter1, Michael P McDermott2, Hua He3, Shan Gao2, Xueya Cai2, John T Farrar4, Nathaniel P Katz5,6, John D Markman7, Stephen Senn8, Dennis C Turk9, Robert H Dworkin1.   

Abstract

Although heterogeneity in the observed outcomes in clinical trials is often assumed to reflect a true heterogeneous response, it could actually be due to random variability. This retrospective analysis of four randomized, double-blind, placebo-controlled multiperiod (i.e., episode) crossover trials of fentanyl for breakthrough cancer pain illustrates the use of multiperiod crossover trials to examine heterogeneity of treatment response. A mixed-effects model, including fixed effects for treatment and episode and random effects for patient and treatment-by-patient interaction, was used to assess the heterogeneity in patients' responses to treatment during each episode. A significant treatment-by-patient interaction was found for three of four trials (P < 0.05), suggesting heterogeneity of the effect of fentanyl among different patients in each trial. Similar analyses in other therapeutic areas could identify conditions and therapies that should be investigated further for predictors of treatment response in efforts to maximize the efficiency of developing precision medicine strategies.
© 2019 The Authors Clinical Pharmacology & Therapeutics © 2019 American Society for Clinical Pharmacology and Therapeutics.

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Year:  2019        PMID: 30661240      PMCID: PMC6784315          DOI: 10.1002/cpt.1372

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  25 in total

Review 1.  Individual response to treatment: is it a valid assumption?

Authors:  Stephen Senn
Journal:  BMJ       Date:  2004-10-23

Review 2.  Interpreting patient treatment response in analgesic clinical trials: implications for genotyping, phenotyping, and personalized pain treatment.

Authors:  Robert H Dworkin; Michael P McDermott; John T Farrar; Alec B O'Connor; Stephen Senn
Journal:  Pain       Date:  2013-09-23       Impact factor: 6.961

3.  The n-of-1 randomized controlled trial: clinical usefulness. Our three-year experience.

Authors:  G H Guyatt; J L Keller; R Jaeschke; D Rosenbloom; J D Adachi; M T Newhouse
Journal:  Ann Intern Med       Date:  1990-02-15       Impact factor: 25.391

4.  Celecoxib compared with sustained-release paracetamol for osteoarthritis: a series of n-of-1 trials.

Authors:  M J Yelland; C J Nikles; N McNairn; C B Del Mar; P J Schluter; R M Brown
Journal:  Rheumatology (Oxford)       Date:  2006-06-15       Impact factor: 7.580

5.  A randomized, placebo-controlled study of fentanyl buccal tablet for breakthrough pain in opioid-treated patients with cancer.

Authors:  Russell K Portenoy; Donald Taylor; John Messina; Lothar Tremmel
Journal:  Clin J Pain       Date:  2006 Nov-Dec       Impact factor: 3.442

6.  The effect of oxcarbazepine in peripheral neuropathic pain depends on pain phenotype: a randomised, double-blind, placebo-controlled phenotype-stratified study.

Authors:  Dyveke T Demant; Karen Lund; Jan Vollert; Christoph Maier; Märtha Segerdahl; Nanna B Finnerup; Troels S Jensen; Søren H Sindrup
Journal:  Pain       Date:  2014-08-17       Impact factor: 6.961

7.  Randomised study of n of 1 trials versus standard practice.

Authors:  J Mahon; A Laupacis; A Donner; T Wood
Journal:  BMJ       Date:  1996-04-27

8.  HLA-B*5701 screening for hypersensitivity to abacavir.

Authors:  Simon Mallal; Elizabeth Phillips; Giampiero Carosi; Jean-Michel Molina; Cassy Workman; Janez Tomazic; Eva Jägel-Guedes; Sorin Rugina; Oleg Kozyrev; Juan Flores Cid; Phillip Hay; David Nolan; Sara Hughes; Arlene Hughes; Susanna Ryan; Nicholas Fitch; Daren Thorborn; Alastair Benbow
Journal:  N Engl J Med       Date:  2008-02-07       Impact factor: 91.245

9.  Understanding Variation in Sets of N-of-1 Trials.

Authors:  Artur Araujo; Steven Julious; Stephen Senn
Journal:  PLoS One       Date:  2016-12-01       Impact factor: 3.240

10.  Duloxetine use in chronic painful conditions--individual patient data responder analysis.

Authors:  R A Moore; N Cai; V Skljarevski; T R Tölle
Journal:  Eur J Pain       Date:  2013-06-03       Impact factor: 3.931

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  7 in total

Review 1.  The ACTTION Guide to Clinical Trials of Pain Treatments, part II: mitigating bias, maximizing value.

Authors:  Robert H Dworkin; Robert D Kerns; Michael P McDermott; Dennis C Turk; Christin Veasley
Journal:  Pain Rep       Date:  2021-01-21

2.  Systematic inference identifies a major source of heterogeneity in cell signaling dynamics: The rate-limiting step number.

Authors:  Dae Wook Kim; Hyukpyo Hong; Jae Kyoung Kim
Journal:  Sci Adv       Date:  2022-03-18       Impact factor: 14.136

3.  Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality.

Authors:  Hugo Pomares-Millan; Alaitz Poveda; Naemieh Atabaki-Pasdar; Ingegerd Johansson; Jonas Björk; Mattias Ohlsson; Giuseppe N Giordano; Paul W Franks
Journal:  Nutrients       Date:  2022-08-01       Impact factor: 6.706

Review 4.  "Adipose-derived mesenchymal stem cell therapy for the management of female sexual dysfunction: Literature reviews and study design of a clinical trial".

Authors:  Van T Hoang; Hoang-Phuong Nguyen; Viet Nhan Nguyen; Duc M Hoang; Tan-Sinh Thi Nguyen; Liem Nguyen Thanh
Journal:  Front Cell Dev Biol       Date:  2022-09-28

5.  Measuring individual benefits of psychiatric treatment using longitudinal binary outcomes: Application to antipsychotic benefits in non-cannabis and cannabis users.

Authors:  Xuan Zhang; Jose de Leon; Benedicto Crespo-Facorro; Francisco J Diaz
Journal:  J Biopharm Stat       Date:  2020-06-08       Impact factor: 1.503

6.  Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibility.

Authors:  Andreas D Meid; Alexander Gerharz; Andreas Groll
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-02-01

7.  John D. Loeser Award Lecture: Size does matter, but it isn't everything: the challenge of modest treatment effects in chronic pain clinical trials.

Authors:  Shannon M Smith; Maurizio Fava; Mark P Jensen; Omar B Mbowe; Michael P McDermott; Dennis C Turk; Robert H Dworkin
Journal:  Pain       Date:  2020-09       Impact factor: 7.926

  7 in total

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