{
  "abstract": "Background\n\nUniversal screening for Gestational Diabetes Mellitus (GDM) is the gold standard, but it can be difficult and expensive in resource-limited settings. Many current prediction models rely on specialized tests that are not available in primary care. This study aimed to create a cost-effective risk assessment model using common maternal demographic and blood test data to help identify GDM risk in Thai pregnant women.Methods\n\nWe conducted a cross-sectional study with 200 pregnant women (24-28 weeks of gestation) at a secondary care hospital in Southern Thailand. We analyzed routine antenatal data, including complete blood count and other lab results. A risk-scoring system was built using multivariate logistic regression. We then tested the model's performance using Receiver Operating Characteristic (ROC) curve analysis to determine the optimal cut-off point.Results\n\nSix independent predictors were found maternal age over 35 years, systolic blood pressure above 130 mmHg, glycosuria, hemoglobin at least 11 g/dL, platelets at least 260.50 × 10³/µL, and neutrophil-to-lymphocyte ratio (NLR) of 2.89 or higher. The combined risk model performed better (AUC = 0.804; 95% CI: 0.74-0.87) than single-marker models. With a risk score cut-off of 2.5 (indicating three or more risk factors), the model had a sensitivity of 71.4% and a specificity of 78.1%.Conclusion\n\nThe new risk assessment model, which uses basic demographic and routine blood test data, offers a reliable and affordable way to screen for GDM. This method enables early risk identification and helps healthcare providers use resources more efficiently, potentially reducing unnecessary tests in resource-limited settings.",
  "abstract_shown": true,
  "affiliations": [
    "Environmental, Safety Technology and Health Program, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand.",
    "Office of Disease Prevention and Control Region 11, Nakhon Si Thammarat, Thailand.",
    "Department of Environmental Health, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand.",
    "Department of Occupational Health and Safety, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand.",
    "Excellence Center for Public Health Research, Walailak University, Nakhon Si Thammarat, Thailand.",
    "School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand.",
    "Hematology and Transfusion Science Research Center, Walailak University, Nakhon Si Thammarat, Thailand.",
    "Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan.",
    "Environmental, Safety Technology and Health Program, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand. ksupapor@mail.wu.ac.th.",
    "Excellence Center for Public Health Research, Walailak University, Nakhon Si Thammarat, Thailand. ksupapor@mail.wu.ac.th."
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Thaveesak Sai-Ong"
    },
    {
      "affs": [
        2
      ],
      "name": "Donrawee Waeyeng"
    },
    {
      "affs": [
        3,
        4
      ],
      "name": "Tanaporn Khamphaya"
    },
    {
      "affs": [
        5,
        6
      ],
      "name": "Yanisa Rattanapan"
    },
    {
      "affs": [
        5
      ],
      "name": "Chutima Jansakun"
    },
    {
      "affs": [
        7
      ],
      "name": "Atsuko Ikeda"
    },
    {
      "affs": [
        8,
        9
      ],
      "name": "Supabhorn Yimthiang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3e86477skesg6.bib",
  "cited_by": 0,
  "doi": "10.1186/s12884-026-09608-x",
  "fulltext_url": "https://europepmc.org/articles/PMC13678896",
  "id": "3e86477skesg6",
  "issns": [
    "1471-2393"
  ],
  "landing_url": "https://europepmc.org/article/MED/42897525",
  "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",
      "RG1-991"
    ],
    [
      "openalex",
      "2729|Gestational Diabetes Research and Management"
    ]
  ],
  "openalex": "W7170176063",
  "pdf_url": "https://europepmc.org/articles/PMC13678896?pdf=render",
  "pmcid": "PMC13678896",
  "pmid": "42897525",
  "published": "2026-07-01",
  "publisher": "BMC",
  "ris": "https://research.draconitic.com/paper/3e86477skesg6.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:42Z",
      "native_id": "MED:42897525",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42897525"
    },
    {
      "first_seen": "2026-10-30T13:46:30Z",
      "native_id": "0887c4df84434bedbfc9b6dcada4a529",
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      "url": "https://doi.org/10.1186/s12884-026-09608-x"
    }
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  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2729|Gestational Diabetes Research and Management",
      "subfield": "reproductive-child"
    }
  ],
  "title": "A risk assessment model for gestational diabetes mellitus integrating maternal demographics and hematological indices in Thai women.",
  "title_text": "A risk assessment model for gestational diabetes mellitus integrating maternal demographics and hematological indices in Thai women.",
  "type": "peer-reviewed",
  "updated_at": "2026-10-31T14:20:51Z",
  "url": "https://research.draconitic.com/paper/3e86477skesg6",
  "venue": "BMC pregnancy and childbirth",
  "versions": []
}