Ultraprocessed or minimally processed diets following healthy dietary guidelines on weight and cardiometabolic health: a randomized, crossover trial
Dicken SJ, Jassil FC, Brown A, Kalis M, Stanley C, Ranson C, Ruwona T, Qamar S, Buck C, Mallik R, Hamid N, Bird JM, Brown A, Norton B, Gandini Wheeler-Kingshott CAM, Hamer M, van Tulleken C, Hall KD, Fisher A, Makaronidis J, Batterham RL.
Paper source
Ultraprocessed or minimally processed diets following healthy dietary guidelines on weight and cardiometabolic health: a randomized, crossover trial
This rigor review was examined and confirmed by Adcurare Editorial · July 5, 2026
How this rating was calculated▸
Started at 5★ — no deductions. Nothing the checks ran surfaced a material problem.
- References were not verified against Crossref/OpenAlex.
No specific rigor problems surfaced by the checks that ran.
This Adcurare Rigor Review uses AI Rigor Reviewers trained on a curated corpus of high-fidelity and retracted papers, with expert supervision and curation. It can still make mistakes; verify each finding against the source before relying on it.
The manuscript reports a well-designed and transparently reported randomized crossover feeding trial. Strengths include rigorous randomization, blinding, power analysis, and comprehensive reporting. Two minor reporting gaps are noted: lack of an explicit regulatory compliance statement and a data availability statement that lacks a managed repository.
Three independent reviewers, a copyedit pass, and multiple verification components (statistics recomputation, link checks, preregistration audit) informed this synthesis. The ethical approvals dimension showed divergence (pass vs. warn); the warn status was adopted because the regulatory compliance sub-criterion is not reported. The data code availability dimension also showed divergence; the warn status reflects the lack of a specific repository. The statistics verification covered 6 tests; all were consistent.
12 major claims checked against the paper's own evidence: all adequately supported.
Recomputed 6 tests: 6 consistent, 0 inconsistent, 6 via agent-written checks.
4 copyedit issues flagged: mostly consistency, clarity.
7 data/code links checked; 7 live.
Registered (1 ID: ClinicalTrials.gov). Reporting guidelines cited: CONSORT, SPIRIT.
Post-publication audit: the published work is robust overall. The missing Declaration of Helsinki statement is a minor reporting gap that does not undermine the findings but could warrant a correction. The data availability statement, while functional, may be considered insufficiently transparent by some readers; deposit in a repository would strengthen reproducibility. No validity threats are apparent.
- 1.HIGHethicsAdd an explicit statement of compliance with the Declaration of Helsinki (or ICH-GCP) to the Ethics section.Current manuscript lacks this statement; while ethics committee approval is reported, explicit regulatory compliance is expected for interventional trials.
- 2.HIGHdata codeDeposit de-identified summary data in a trusted repository (e.g., Zenodo, figshare, or a clinical data repository like Vivli) and provide a DOI in the Data Availability section.The current author-contact-only mechanism is functional but less transparent and robust than a managed-access repository, which is increasingly expected for reproducibility.
- 3.HIGHstatisticsReport quantitative tests or diagnostic plots for model assumptions (normality of residuals, homoscedasticity) instead of stating they were 'checked visually' (Statistical analysis section).Visual inspection is subjective; quantitative tests (e.g., Shapiro-Wilk, Breusch-Pagan) or Q-Q plots with reference lines would strengthen the credibility of the linear mixed model results.
- 4.HIGHreportingClarify the power calculation description in the Methods: separate the mean difference (1.85 kg) from the standard deviation (1.98 kg) with explicit labels.The copyedit flagged the current phrasing ('mean, 1.85 kg') as ambiguous; readers might misinterpret the mean of the SD.
- 5.MEDIUMstatisticsReport the results of the multiple imputation and inverse probability weighting sensitivity analyses in the main text rather than only in supplementary tables.These analyses directly support the robustness of the primary findings and are standard for assessing impact of missing data.
- 6.MEDIUMreportingProvide a standalone CONSORT flow diagram with all dropout reasons per diet period (currently may be embedded in supplementary).A clear flow diagram is a key reporting item for RCTs; it should be prominent in the main manuscript.
- 7.MEDIUMreportingIn the main text reporting adverse events, name the exact test used (Fisher's exact test) as done in the table footnote.Consistency between text and table footnotes improves clarity and transparency.
- 8.MEDIUMcopyeditIn Table 1 footnote, change 'Data is' to 'Data are' for subject-verb agreement.Minor grammatical consistency issue flagged by copyedit.
- 9.MEDIUMreportingConsider stating whether outcome assessors (for physical measurements) were blinded beyond the primary analysis statistician.R2 raised this; while the primary outcome was independently analyzed blind, assessor blinding for body composition measurements would further reduce detection bias.
- 10.LOWreportingSpecify the covariance structure of the linear mixed model (e.g., compound symmetry, unstructured) in the abstract or Methods.Detailed model specification improves reproducibility and allows readers to assess analytical choices.
- 11.LOWreportingAdd a brief discussion of generalizability to populations with lower habitual UPF intake or different demographic profiles.The sample was predominantly female, white, and of higher occupational status; a statement on generalizability would temper conclusions appropriately.
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