Evidence map›Paper›PMID 34326476›Full record

ReviewInternational journal of obesity (2005)2021

Errors in the implementation, analysis, and reporting of randomization within obesity and nutrition research: a guide to their avoidance.

Colby J Vorland, Andrew W Brown, John A Dawson, Stephanie L Dickinson, Lilian Golzarri-Arroyo, Bridget A Hannon, Moonseong Heo, Steven B Heymsfield, Wasantha P Jayawardene, Chanaka N Kahathuduwa and 5 more

Abstract readReview
In one paragraph

Review in International journal of obesity (2005), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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
  14. Why and How to Account for Sex and Gender in Brain and Behavioral Research.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  15. Article
  16. Article
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  20. 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

15 authors.

Colby J VorlandDepartment of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA. cvorland@iu.edu.ORCID http://orcid.org/0000-0003-4225-372X
Andrew W BrownDepartment of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.ORCID http://orcid.org/0000-0002-1758-8205
John A DawsonDepartment of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA.
Stephanie L DickinsonDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.ORCID http://orcid.org/0000-0002-2998-4467
Lilian Golzarri-ArroyoDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.ORCID http://orcid.org/0000-0002-1221-6701
Bridget A HannonDivision of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Moonseong HeoDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.ORCID http://orcid.org/0000-0001-7711-1209
Steven B HeymsfieldPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.ORCID http://orcid.org/0000-0003-1127-9425
Wasantha P JayawardeneDepartment of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.ORCID http://orcid.org/0000-0002-8798-0894
Chanaka N KahathuduwaDepartment of Psychiatry, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Scott W KeithDepartment of Pharmacology and Experimental Therapeutics, Division of Biostatistics, Thomas Jefferson University, Philadelphia, PA, USA.
J Michael OakesDepartment of Epidemiology, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Carmen D TekweDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
Lehana ThabaneDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.
David B AllisonDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA. allison@iu.edu.ORCID http://orcid.org/0000-0003-3566-9399

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Elizabeth Austen Lawson, Takara Leah Stanley · 1994 to 2026
$31.6M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Sujoy Ghosh · 2005 to 2026
$26.5M
Measurement Error, Nutrition, Physical Activity and CancerU01CA057030 · NCI · TEXAS A&M UNIVERSITY · PI CARROLL, RAYMOND J. · 2015 to 2019
$2.8M
Strengthening Causal Inference in Behavioral Obesity ResearchR25HL124208 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ALLISON, DAVID B, BROWN, ANDREW W · 2014 to 2023
$1.8M
The Mathematical Sciences in Obesity ResearchR25DK099080 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DAVID B ALLISON, Andrew W Brown · 2013 to 2026
$1.2M
NCI NIH HHS U01 CA057030NHLBI NIH HHS R25 HL124208NIDDK NIH HHS P30 DK040561NIDDK NIH HHS P30 DK072476NIDDK NIH HHS R25 DK099080
6 · The paper itself

Abstract

Randomization is an important tool used to establish causal inferences in studies designed to further our understanding of questions related to obesity and nutrition. To take advantage of the inferences afforded by randomization, scientific standards must be upheld during the planning, execution, analysis, and reporting of such studies. We discuss ten errors in randomized experiments from real-world examples from the literature and outline best practices for their avoidance. These ten errors include: representing nonrandom allocation as random, failing to adequately conceal allocation, not accounting for changing allocation ratios, replacing subjects in nonrandom ways, failing to account for non-independence, drawing inferences by comparing statistical significance from within-group comparisons instead of between-groups, pooling data and breaking the randomized design, failing to account for missing data, failing to report sufficient information to understand study methods, and failing to frame the causal question as testing the randomized assignment per se. We hope that these examples will aid researchers, reviewers, journal editors, and other readers to endeavor to a high standard of scientific rigor in randomized experiments within obesity and nutrition research.

Indexed as

Public Reporting of Healthcare DataHumansNutritional SciencesObesityPractice Guidelines as TopicResearch Design

Identifiers

PMID34326476
PMCPMC8528702

What Socratic 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 Socratic graph.