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Retracted: Body Mass Index and Gut Microbiome: A Cluster-Randomized, Controlled, Pilot Feasibility Study.

Marilyn Frenn1, Nita Salzman2,3, Vy Lam2

  • 1College of Nursing, Marquette University, Milwaukee, WI, USA.

Childhood Obesity (Print)
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Summary

This study on body mass index and gut microbiome in children is retracted due to fundamental statistical flaws. The cluster-randomized design was not properly analyzed, invalidating the findings.

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Area of Science:

  • Pediatric Obesity Research
  • Gut Microbiome Studies
  • Biostatistics in Clinical Trials

Background:

  • The article "Body Mass Index and Gut Microbiome: A Cluster-Randomized, Controlled, Pilot Feasibility Study" was published in Childhood Obesity.
  • Concerns were raised by a reader regarding fundamental flaws in the study's methodology and analysis.

Purpose of the Study:

  • To address concerns about the validity of the statistical analysis in a pilot feasibility study on childhood obesity and the gut microbiome.
  • To determine if the study's methods were sound or if the results were compromised by analytical errors.

Main Methods:

  • The journal's Editor-in-Chief reviewed reader concerns and author responses.
  • Independent, highly experienced statisticians were consulted to re-evaluate the study's statistical approach.
  • The statisticians assessed the original analysis in light of the cluster-randomized design and the reader's critique.

Main Results:

  • Statisticians identified critical flaws, specifically the failure to account for clustering and nesting in the statistical analysis.
  • This omission rendered the study's results biased and invalid.
  • Despite author defense, the identified flaws compromised the reliability of the findings.

Conclusions:

  • The Editor-in-Chief, based on expert statistical review, retracted the article due to invalid methods and biased results.
  • The scientific record is corrected due to fundamental errors in the statistical analysis of the cluster-randomized study.
  • The retraction underscores the importance of appropriate statistical methods in research involving complex study designs.