Design, analysis, and interpretation of treatment response heterogeneity in personalized nutrition and obesity treatment research.

heterogeneity of treatment effect personalized medicine personalized nutrition tailored treatment

Journal

Obesity reviews : an official journal of the International Association for the Study of Obesity
ISSN: 1467-789X
Titre abrégé: Obes Rev
Pays: England
ID NLM: 100897395

Informations de publication

Date de publication:
Dec 2023
Historique:
revised: 29 03 2023
received: 02 07 2022
accepted: 24 07 2023
medline: 22 11 2023
pubmed: 5 9 2023
entrez: 5 9 2023
Statut: ppublish

Résumé

It is increasingly assumed that there is no one-size-fits-all approach to dietary recommendations for the management and treatment of chronic diseases such as obesity. This phenomenon that not all individuals respond uniformly to a given treatment has become an area of research interest given the rise of personalized and precision medicine. To conduct, interpret, and disseminate this research rigorously and with scientific accuracy, however, requires an understanding of treatment response heterogeneity. Here, we define treatment response heterogeneity as it relates to clinical trials, provide statistical guidance for measuring treatment response heterogeneity, and highlight study designs that can quantify treatment response heterogeneity in nutrition and obesity research. Our goal is to educate nutrition and obesity researchers in how to correctly identify and consider treatment response heterogeneity when analyzing data and interpreting results, leading to rigorous and accurate advancements in the field of personalized medicine.

Identifiants

pubmed: 37667550
doi: 10.1111/obr.13635
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13635

Subventions

Organisme : NIH HHS
ID : R25DK099080
Pays : United States
Organisme : NIH HHS
ID : P30AG050886
Pays : United States
Organisme : NIH HHS
ID : U24AG056053
Pays : United States
Organisme : NIH HHS
ID : R25HL124208
Pays : United States
Organisme : NIA NIH HHS
ID : 3R01AG057703-02S1
Pays : United States
Organisme : NCI NIH HHS
ID : U01-CA057030-29S1
Pays : United States
Organisme : NIH HHS
ID : R25DK099080
Pays : United States
Organisme : NIH HHS
ID : P30AG050886
Pays : United States
Organisme : NIH HHS
ID : U24AG056053
Pays : United States
Organisme : NIH HHS
ID : R25HL124208
Pays : United States
Organisme : NIA NIH HHS
ID : 3R01AG057703-02S1
Pays : United States
Organisme : NCI NIH HHS
ID : U01-CA057030-29S1
Pays : United States

Informations de copyright

© 2023 The Authors. Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.

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Auteurs

Roger S Zoh (RS)

Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.

Bridget H Esteves (BH)

Glanbia Performance Nutrition, Downers Grove, Illinois, USA.

Xiaoxin Yu (X)

Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.

Amanda J Fairchild (AJ)

Department of Psychology, University of South Carolina, Columbia, South Carolina, USA.

Ana I Vazquez (AI)

Department of Epidemiology and Biostatistics, Michigan State University, Lansing, Michigan, USA.

Andrew G Chapple (AG)

Biostatistics Program, School of Public Health, LSU Health Sciences Center, New Orleans, Louisiana, USA.

Andrew W Brown (AW)

Department of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.

Brandon George (B)

College of Population Health, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.

Derek Gordon (D)

Department of Genetics, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.

Douglas Landsittel (D)

Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.

Gary L Gadbury (GL)

Department of Statistics, Kansas State University, Manhattan, Kansa, USA.

Greg Pavela (G)

Department of Health Behavior, University of Alabama at Birmingham, Birmingham, Alabama, USA.

Gustavo de Los Campos (G)

Departments of Epidemiology & Biostatistics and Statistics & Probability, IQ - Institute for Quantitative Health Science and Engineering, Michigan State University, Lansing, Michigan, USA.

Luis M Mestre (LM)

Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.

David B Allison (DB)

Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.

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