Evidence map›Paper›PMID 32258990›Full record

ArticleCurrent developments in nutrition2020

Choice of Laboratory Rodent Diet May Confound Data Interpretation and Reproducibility.

Michael A Pellizzon, Matthew R Ricci

Abstract read
In one paragraph

Article in Current developments in nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

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

  1. Pooled it
  2. Review
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  9. Article
  10. The prairie vole gut-brain-microbiota-axis: a narrative review.Gut microbiome (Cambridge, England) · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Guidelines for diet-induced models of cardiometabolic syndrome.American journal of physiology. Heart and circulatory physiology · 2025
    Review
  15. Article
  16. Long-term Dietary Fat Intervention Affects Retinal Health in APOE Mice.bioRxiv : the preprint server for biology · 2025
    Article
  17. Article
  18. Review
  19. Article
  20. Article

1 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

2 authors.

Michael A PellizzonResearch Diets, Inc, New Brunswick, NJ, USA.
Matthew R RicciResearch Diets, Inc, New Brunswick, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reproducibility of experimental data is challenged by many factors in both clinical and preclinical research. In preclinical studies, several factors may be responsible, and diet is one variable that is commonly overlooked, especially by those not trained in nutrition. In particular, grain-based diets contain complex ingredients, each of which can provide multiple nutrients, non-nutrients, and contaminants, which may vary from batch to batch. Thus, even when choosing the same grain-based diet used in the past by others, its composition will likely differ. In contrast, purified diets contain refined ingredients that offer the ability to control the composition much more closely and maintain consistency from one batch to the next, while minimizing the presence of non-nutrients and contaminants. In this article, we provide several different examples or scenarios showing how the diet choice can alter data interpretation, potentially affecting reproducibility and knowledge gained within any given field of study.

Indexed as

arsenic and heavy metalsendotoxinsfibergrain-based dietsmycotoxinspesticides and pollutantsphytoestrogenspurified dietsreproducibility

Identifiers

PMID32258990
PMCPMC7103427

What OpenQuestion holds

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LicenceCC BY-NC
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.