Evidence map›Paper›PMID 30046468›Full record

ReviewJournal of obesity2018

Trial Characteristics and Appropriateness of Statistical Methods Applied for Design and Analysis of Randomized School-Based Studies Addressing Weight-Related Issues: A Literature Review.

Moonseong Heo, Singh R Nair, Judith Wylie-Rosett, Myles S Faith, Angelo Pietrobelli, Nancy R Glassman, Sarah N Martin, Stephanie Dickinson, David B Allison

Abstract readReview
In one paragraph

Review in Journal of obesity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

9 authors.

Moonseong HeoDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0001-7711-1209
Singh R NairDepartment of Anesthesiology, Montefiore Medical Center, Bronx, NY, USA.
Judith Wylie-RosettDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0003-4031-6950
Myles S FaithDepartment of Counseling, School, and Educational Psychology, Graduate School of Education, University at Buffalo-SUNY, Buffalo, NY, USA.ORCID 0000-0002-8504-7945
Angelo PietrobelliDepartment of Pediatrics, University of Verona, Verona, Italy.
Nancy R GlassmanD. Samuel Gottesman Library, Albert Einstein College of Medicine, Bronx, NY, USA.
Sarah N MartinDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Stephanie DickinsonDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University-Bloomington, Bloomington, IN, USA.
David B AllisonDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University-Bloomington, Bloomington, IN, USA.

Funding

Core-010UL1TR001073 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, SHAMOON, HARRY · 2013 to 2017
$21.3M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Wellness Program Implementation: School & Student ToolkitsR01DK097096 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI WYLIE-ROSETT, JUDITH · 2013 to 2016
$2.7M
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
NCATS NIH HHS UL1 TR001073NHLBI NIH HHS R25 HL124208NIDDK NIH HHS P30 DK111022NIDDK NIH HHS R01 DK097096NIDDK NIH HHS R25 DK099080
6 · The paper itself

Abstract

Objective: To evaluate whether clustering effects, often quantified by the intracluster correlation coefficient (ICC), were appropriately accounted for in design and analysis of school-based trials. Methods: We searched PubMed and extracted variables concerning study characteristics, power analysis, ICC use for power analysis, applied statistical models, and the report of the ICC estimated from the observed data. Results: Conclusion: Although application of appropriate models has increased over the years, consideration of clustering effects in power analysis has been inadequate, as has report of estimated ICC. To increase rigor, future school-based trials should address these issues at both the design and analysis stages.

Indexed as

Body WeightRandomized Controlled Trials as TopicResearch DesignSchoolsStatistics as TopicCluster AnalysisHumansModels, StatisticalSample Size

Identifiers

PMID30046468
PMCPMC6036807

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.