Evidence map›Paper›PMID 22891075›Full record

ArticleFrontiers in genetics2012

Submitted for your consideration: potential advantages of a novel clinical trial design and initial patient reaction.

Matthew Shane Loop, Alexis C Frazier-Wood, Amy S Thomas, Emily J Dhurandhar, James M Shikany, Gary L Gadbury, David B Allison

Abstract read
In one paragraph

Article in Frontiers in genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Design, analysis, and interpretation of treatment response heterogeneity in personalized nutrition and obesity treatment research.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2023 · on this map
    Review
  3. Causal models and causal modelling in obesity: foundations, methods and evidence.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  4. Article
  5. Review
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

7 authors.

Matthew Shane LoopSection on Statistical Genetics, Department of Biostatistics, Ryals School of Public Health, University of Alabama at Birmingham Birmingham, AL, USA.
Alexis C Frazier-Wood
Amy S Thomas
Emily J Dhurandhar
James M Shikany
Gary L Gadbury
David B Allison

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2000 to 2026
$31.9M
UAB Pre-Doctoral Training Program in Obesity-Related ResearchT32HL105349 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2010 to 2026
$5.7M
UAB Obesity Training ProgramT32DK062710 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill, Brooks C Wingo · 2004 to 2026
$5.5M
UAB Biostatistics Pre-doctoral Training ProgramT32HL079888 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ALLISON, DAVID B, CUTTER, GARY R · 2005 to 2014
$2.3M
NHLBI NIH HHS T32 HL079888NHLBI NIH HHS T32 HL105349NIDDK NIH HHS P30 DK056336NIDDK NIH HHS T32 DK062710
6 · The paper itself

Abstract

In many circumstances, individuals do not respond identically to the same treatment. This phenomenon, which is called treatment response heterogeneity (TRH), appears to be present in treatments for many conditions, including obesity. Estimating the total amount of TRH, predicting an individual's response, and identifying the mediators of TRH are of interest to biomedical researchers. Clinical investigators and physicians commonly postulate that some of these mediators could be genetic. Current designs can estimate TRH as a function of specific, measurable observed factors; however, they cannot estimate the total amount of TRH, nor provide reliable estimates of individual persons' responses. We propose a new repeated randomizations design (RRD), which can be conceived as a generalization of the Balaam design, that would allow estimates of that variability and facilitate estimation of the total amount of TRH, prediction of an individual's response, and identification of the mediators of TRH. In a pilot study, we asked 118 subjects entering a weight loss trial for their opinion of the RRD, and they stated a preference for the RRD over the conventional two-arm parallel groups design. Research is needed as to how the RRD will work in practice and its relative statistical properties, and we invite dialog about it.

Indexed as

Balaam designcrossover designtreatment response heterogeneity

Identifiers

PMID22891075
PMCPMC3413942

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.