Evidence map›Paper›PMID 39677420›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Evaluating the Reproducibility and Verifiability of Nutrition Research: A Case Study of Studies Assessing the Relationship Between Potatoes and Colorectal Cancer.

Yasaman Jamshidi-Naeini, Colby J Vorland, Pranav Kapoor, Bailey Ortyl, Jocelyn Mineo, Luke Still, Korlu Sorsor, Shelby Rodney, Xander Tooze, Brent Flickinger and 3 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Yasaman Jamshidi-NaeiniDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, IN, USA.ORCID 0000-0003-4769-2764
Colby J VorlandDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, IN, USA.ORCID 0000-0003-4225-372X
Pranav KapoorDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, IN, USA.
Bailey OrtylDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, IN, USA.
Jocelyn MineoDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, IN, USA.
Luke StillDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, IN, USA.
Korlu SorsorDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, IN, USA.
Shelby RodneyDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, IN, USA.
Xander ToozeDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, IN, USA.
Brent FlickingerDepartment of Applied Health Science, Indiana University School of Public Health-Bloomington, IN, USA.
Beate HenschelDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, IN, USA.
Stephanie L DickinsonDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, IN, USA.ORCID 0000-0002-2998-4467
David B AllisonDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, IN, USA.ORCID 0000-0003-3566-9399

Funding

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
NHLBI NIH HHS R25 HL124208NIDDK NIH HHS R25 DK099080
6 · The paper itself

Abstract

Background: The credibility of nutritional research is dependent on the rigor with which studies are conducted and the ability for independent assessment to be performed. Despite the importance of these, more work is needed in the field of nutrition to buttress the trustworthiness of nutrition research. Objective: To develop and apply a process for evaluating the rigor, reproducibility, and verifiability of nutritional research, using the relationship between potato consumption and Colorectal cancer (CRC) as a case study. Methods: We updated existing systematic reviews to include studies on potatoes and CRC, assessing their design, execution, and reporting quality. We attempted to reproduce and verify the results of included studies by requesting raw data from authors and following statistical methods as described in the publications. Rigor was evaluated using four different tools: ROBINS-E, STROBE-Nut, Newcastle-Ottawa scale, and additional criteria related to transparency. Results: Eighteen studies were included, none of which publicly share data. We managed to access data for only two studies, successfully reproducing and verifying the results for one. The majority of studies exhibited a high risk of bias, with significant limitations in reporting quality and methodological rigor. Conclusions: Research on the relationship between potato consumption and CRC risk is insufficiently reproducible and verifiable, undermining the trustworthiness of its findings. This study highlights the need for improving transparency, data sharing, and methodological rigor in nutritional research. Our approach provides a model for assessing the credibility of research in other areas of nutrition.

Indexed as

colorectal cancerpotatoesreproducibilityrigorverifiability

Identifiers

PMID39677420
PMCPMC11643200

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.