{
  "abstract": "Background: Serum uric acid (SUA) measurement is the direct basis for identifying current hyperuricemia (HUA). We developed a non-SUA screening model for situations in which routine occupational health information is already available but a contemporaneous SUA result is temporarily unavailable, delayed, or requires separate testing.\n\nMethods: This cross-sectional study included 894 workers from 11 gas stations and related operational sites in Nanning, Guangxi, China. Current HUA was defined as same-examination SUA > 420 µmol/L in both sexes. Twelve prespecified non-SUA candidate variables were considered; total cholesterol was excluded because of high redundancy and multicollinearity with LDL-C, leaving 11 candidates for least absolute shrinkage and selection operator (LASSO) screening. Internal validation used 100 repetitions of site-grouped five-fold cross-validation. Model performance was assessed using out-of-fold (OOF) predictions, discrimination, calibration, decision curve analysis, candidate screening thresholds, and bootstrap optimism correction.\n\nResults: Among 894 participants, 169 (18.9%) had current HUA. Sex, waist circumference, triglycerides (TG), systolic blood pressure (SBP), and fasting blood glucose (FBG) met the prespecified selection-stability threshold and comprised the final model. The mean area under the receiver operating characteristic curve (AUC) across repeated site-grouped cross-validation was 0.858 (SD 0.004), and the pooled OOF AUC was 0.866 (95% CI, 0.838–0.893). The pooled OOF Brier score was 0.108, the calibration intercept was − 0.064 (95% CI, -0.322 to 0.192), and the calibration slope was 0.920 (95% CI, 0.791–1.077). At a 10% candidate probability threshold, sensitivity was 92.9%, specificity was 64.6%, and the negative predictive value was 97.5%.\n\nConclusions: The five-variable model estimates the probability of current HUA and may support prioritization of confirmatory SUA testing when a contemporaneous SUA result is unavailable. It does not replace direct SUA measurement or predict future incident HUA. Independent external validation is required before broader implementation.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "name": "Jinbo Wang"
    },
    {
      "name": "Xinna He"
    },
    {
      "name": "Yinxia Lin"
    },
    {
      "name": "Zhuoheng Chen"
    },
    {
      "name": "Jianing Cong"
    },
    {
      "name": "Yaqin Pang"
    },
    {
      "name": "Guangzi Qi"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ctmj6rn791wzt.bib",
  "cited_by": 0,
  "doi": "10.1186/s12889-026-29953-y",
  "fulltext_url": null,
  "id": "ctmj6rn791wzt",
  "issns": [
    "1471-2458"
  ],
  "landing_url": "https://link.springer.com/article/10.1186/s12889-026-29953-y",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2727|Gout, Hyperuricemia, Uric Acid"
    ]
  ],
  "openalex": "W7223953571",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-28",
  "publisher": "Springer Science and Business Media LLC",
  "ris": "https://research.draconitic.com/paper/ctmj6rn791wzt.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:54Z",
      "native_id": "10.1186/s12889-026-29953-y",
      "source": "crossref",
      "url": "https://link.springer.com/article/10.1186/s12889-026-29953-y"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "issn:1471-2458",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Development and internal validation of a routine metabolic screening model for current hyperuricemia among gas station workers in Guangxi, China: a cross-sectional study",
  "title_text": "Development and internal validation of a routine metabolic screening model for current hyperuricemia among gas station workers in Guangxi, China: a cross-sectional study",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:19:54Z",
  "url": "https://research.draconitic.com/paper/ctmj6rn791wzt",
  "venue": "BMC Public Health",
  "versions": []
}