Evidence map›Paper›PMID 29575780›Full record

ArticleObesity (Silver Spring, Md.)2018

The Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures Project: Rationale and Approach.

Paul S MacLean, Alexander J Rothman, Holly L Nicastro, Susan M Czajkowski, Tanya Agurs-Collins, Elise L Rice, Anita P Courcoulas, Donna H Ryan, Daniel H Bessesen, Catherine M Loria

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

70 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Obesity and its management in primary care setting.Journal of diabetes and its complications · 2025
    Review
  15. Article
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  17. Article
  18. Review
  19. Adult obesity treatment and prevention: A trans-agency commentary on the research landscape, gaps, and future opportunities.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2024
    Review
  20. Article

10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Paul S MacLeanUniversity of Colorado School of Medicine, Aurora, Colorado, USA.
Alexander J RothmanDepartment of Psychology, University of Minnesota, Minneapolis, Minnesota, USA.
Holly L NicastroNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Susan M CzajkowskiNational Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.
Tanya Agurs-CollinsNational Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.
Elise L RiceNational Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.
Anita P CourcoulasUniversity of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Donna H RyanPennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA.ORCID 0000-0002-7862-2526
Daniel H BessesenUniversity of Colorado School of Medicine, Aurora, Colorado, USA.
Catherine M LoriaNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Edward L Melanson · 1995 to 2026
$32.6M
Sex Hormones Differentially Regulate Production of Distinct Adipocyte PopulationP50HD073063 · NICHD · UNIVERSITY OF COLORADO DENVER · PI KOHRT, WENDY M · 2012 to 2017
$5.7M
A Narrowed Window for Targeting Metabolic Flexibility in Breast Cancer PreventionR01CA164166 · NCI · UNIVERSITY OF COLORADO DENVER · PI MACLEAN, PAUL S., SCHEDIN, PEPPER J · 2013 to 2017
$1.6M
Intramural NIH HHS Z99 CA999999Intramural NIH HHS Z99 HL999999NCI NIH HHS R01 CA164166NICHD NIH HHS P50 HD073063NIDDK NIH HHS P30 DK048520
6 · The paper itself

Abstract

backgroundIndividual variability in response to multiple modalities of obesity treatment is well documented, yet our understanding of why some individuals respond while others do not is limited. The etiology of this variability is multifactorial; however, at present, we lack a comprehensive evidence base to identify which factors or combination of factors influence treatment response.

objectivesThis paper provides an overview and rationale of the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project, which aims to advance the understanding of individual variability in response to adult obesity treatment. This project provides an integrated model for how factors in the behavioral, biological, environmental, and psychosocial domains may influence obesity treatment responses and identify a core set of measures to be used consistently across adult weight-loss trials. This paper provides the foundation for four companion papers that describe the core measures in detail. SIGNIFICANCE: The accumulation of data on factors across the four ADOPT domains can inform the design and delivery of effective, tailored obesity treatments. ADOPT provides a framework for how obesity researchers can collectively generate this evidence base and is a first step in an ongoing process that can be refined as the science advances.

Indexed as

HumansInterdisciplinary CommunicationObesityResearch Design

Identifiers

PMID29575780
PMCPMC5973529

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.