{
  "abstract": "Background\n\nThe hemoglobin-to-red blood cell distribution width ratio (HRR) is an inexpensive index derived from routine blood tests, but its relationship with gastrointestinal (GI) cancers in the general population remains unclear.Methods\n\nWe pooled NHANES 2001-2018 data (adults ≥ 20 years). GI cancer history was screened using MCQ220 and site-confirmed using site-specific follow-up items for colon, rectal, stomach, esophageal, liver, and pancreatic cancers. HRR was calculated as hemoglobin (g/dL) divided by RDW (%). Survey-weighted logistic regression estimated odds ratios (ORs) and 95% CIs for prevalent GI cancer across HRR (per 0.1-unit increase and tertiles), with restricted cubic splines and subgroup interaction tests. In parallel, eight machine-learning (ML) algorithms were trained and evaluated (70/30 split) to assess predictive performance (AUC, calibration, and decision-curve analysis), with SHAP for interpretability.Results\n\nAmong 39,663 participants, 344 had site-confirmed GI cancer. Higher HRR was inversely associated with GI cancers in the fully adjusted model (per 0.1-unit increase: OR 0.86, 95% CI 0.77-0.95; P = 0.003). Participants in the highest HRR tertile had lower odds than the lowest tertile (OR 0.57, 95% CI 0.35-0.93; P = 0.026; P for trend = 0.028). Sex modified the association (P for interaction = 0.002), with an inverse association in men (OR 0.74) but not women. ML models showed similar discrimination (top AUC ≈ 0.82), and SHAP highlighted HRR as an important contributor alongside age.Conclusions\n\nHigher HRR was inversely associated with prevalent, site-confirmed GI cancers in NHANES. In machine-learning analyses, HRR functioned as an informative classification feature.",
  "abstract_shown": true,
  "affiliations": [
    "College of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, 230012, China.",
    "Laboratory of Geriatric Nursing and Health, Anhui University of Chinese Medicine, Hefei, Anhui, 230012, China.",
    "Department of Hematology, The Second Xiangya Hospital, Central South University, No.139th Renmin Middle Road, Changsha, Hunan, 410011, China.",
    "Department of Nephrology, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, Shanghai, 200032, China.",
    "Department of Gastroenterology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, 230031, China.",
    "Geriatric Medical Department, Huangshan City People's Hospital, Huangshan, Anhui, 245200, China.",
    "College of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, 230012, China. lyf20110801@163.com.",
    "Laboratory of Geriatric Nursing and Health, Anhui University of Chinese Medicine, Hefei, Anhui, 230012, China. lyf20110801@163.com."
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Shiming Chen"
    },
    {
      "affs": [
        2
      ],
      "name": "Kexin Zhao"
    },
    {
      "affs": [
        3
      ],
      "name": "Jingxia Zhang"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Yingxue Niu"
    },
    {
      "affs": [
        4
      ],
      "name": "Ran Zou"
    },
    {
      "affs": [
        5
      ],
      "name": "Min Wang"
    },
    {
      "affs": [
        6,
        7
      ],
      "name": "Yifang Li"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4dz10a3zj0e77.bib",
  "cited_by": 0,
  "doi": "10.1186/s12885-026-16500-6",
  "fulltext_url": "https://europepmc.org/articles/PMC13695296",
  "id": "4dz10a3zj0e77",
  "issns": [
    "1471-2407"
  ],
  "landing_url": "https://europepmc.org/article/MED/42920116",
  "language": "eng",
  "licence": "CC-BY-NC-ND",
  "licence_label": "CC BY-NC-ND",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "RC254-282"
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      "openalex",
      "2730|Inflammatory Biomarkers in Disease Prognosis"
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  "pdf_url": "https://europepmc.org/articles/PMC13695296?pdf=render",
  "pmcid": "PMC13695296",
  "pmid": "42920116",
  "published": "2026-07-01",
  "publisher": "BMC",
  "ris": "https://research.draconitic.com/paper/4dz10a3zj0e77.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:21:02Z",
      "native_id": "MED:42920116",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42920116"
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    {
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  "subjects": [
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      "field": "medicine",
      "origin": "openalex:2730|Inflammatory Biomarkers in Disease Prognosis",
      "subfield": "oncology"
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  ],
  "title": "Hemoglobin-to-red blood cell distribution width ratio is inversely associated with prevalent gastrointestinal cancers in NHANES and serves as an informative feature in machine-learning models.",
  "title_text": "Hemoglobin-to-red blood cell distribution width ratio is inversely associated with prevalent gastrointestinal cancers in NHANES and serves as an informative feature in machine-learning models.",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:46:01Z",
  "url": "https://research.draconitic.com/paper/4dz10a3zj0e77",
  "venue": "BMC cancer",
  "versions": []
}