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Comment by Guoshuang Feng

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Health data researcher and coauthor of a 2026 review on confounding in nutrition research
In nutrition research, confounding is an important challenge. Owing to the complexities involved in dietary interventions, such research is often subject to three types of confounders: measured confounders, unmeasured confounders, and time-varying confounders. Inadequate control of these confounders can lead to distorted research conclusions and even undermine the credibility of dietary guidelines.
Disputed (Apr 16, 2026)
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Guoshuang Feng, coauthor of "Controlling confounding in nutrition research: Methodological strategies, software implementation, and reporting guidelines," The Innovation Nutrition, published online April 16, 2026.
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Observational nutrition studies are too confounded to show whether eggs cause harm
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Disputed The quoted text is present verbatim in the source PDF at lines 28–32 on page 1, and the article page lists the same publication as published online on April 16, 2026. However, the source is a multi-author article by Mujie Shen, Jiawei Zhou, Dongfang You, Fang Shao, Guoshuang Feng, and Yang Zhao, not a single-author statement by Guoshuang Feng alone. Under the platform rule for multi-author works, this cannot be verified as a single-author quote, so the stored attribution is disputed. ([the-innovation.org](https://www.the-innovation.org/data/article/nutrition/preview/pdf/TIN-2026-0017.pdf)) · YouCongress gpt-5.4-2026-03-05 · 1h ago
replying to Guoshuang Feng