Correction: High mean corpuscular volume as a predictor of esophageal cancer: A cohort study based on the Japanese Shizuoka Kokuho Database

Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEsophageal Cancer Research and Treatment · Radiomics and Machine Learning in Medical Imaging · MRI in cancer diagnosis
Notice of Republication
The author order was incorrect. The correct order is:
Shinsuke Sato, Emi Ohata, Eiji Nakatani, Philip Hawke, Hatoko Sasaki, Erina Nagai, Yusuke Taki, Masato Nishida, Masaya Watanabe, Ko Ohata, Hideyuki Kanemoto, Akira Sugawara
Supporting information
S1 FileOriginally published, uncorrected article.(PDF)
S2 FileRepublished, corrected article.(PDF)
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Sato S, Ohata E, Nakatani E, Hawke P, Sasaki H, Nagai E, et al. High mean corpuscular volume as a predictor of esophageal cancer: a cohort study based on the Japanese Shizuoka Kokuho Database. P Lo S One. 2025;20(2):e 0318791. doi: 10.1371/journal.pone.0318791 39932963 PMC 11813134 · doi ↗ · pubmed ↗
