[
  {
    "phenotype_id": "PH4410",
    "phenotype_version_id": 9631,
    "name": "estimated Glomerular Filtration",
    "definition": "",
    "implementation": "",
    "publications": [
      {
        "doi": "10.1371/journal.pmed.1004485",
        "details": "Ho FK, Dale C, Mizani MA, Bolton T, Pearson ER, Valabhji J, et al. (2024) Routine measurement of cardiometabolic disease risk factors in primary care in England before, during, and after the COVID-19 pandemic: A population based cohort study. PLoS Med 21(11): e1004485.",
        "primary": 1
      }
    ],
    "validation": "",
    "citation_requirements": "",
    "created": "2026-07-21T17:59:30.603988Z",
    "author": "Frederick K. Ho, Caroline Dale, Mehrdad A. Mizani, Thomas Bolton, Ewan R. Pearson, Jonathan Valabhji, Christian Delles, Paul Welsh, Shinya Nakada, Daniel Mackay, Jill P. Pell, Chris Tomlinson, Steffen E. Petersen, Benjamin Bray, Mark Ashworth, Kazem Rahimi, Mamas Mamas, Julian Halcox, Cathie Sudlow, Reecha Sofat, Naveed Sattar, on behalf of the CVD-COVID-UK/COVID-IMPACT Consortium",
    "collections": [
      {
        "name": "BHF Data Science Centre",
        "value": 20
      }
    ],
    "tags": null,
    "organisation": null,
    "world_access": 1,
    "updated": "2026-07-21T17:59:30.596905Z",
    "sex": [
      {
        "name": "Both",
        "value": "3"
      }
    ],
    "type": [
      {
        "name": "Biomarker",
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      }
    ],
    "trials": [],
    "ontology": null,
    "phenoflowid": "",
    "data_sources": null,
    "endorsements": [],
    "project_name": "CCU008_01",
    "coding_system": [
      {
        "name": "SNOMED  CT codes",
        "value": 9
      }
    ],
    "corresp_author": "",
    "event_date_range": "",
    "concept_information": [
      {
        "concept_id": 11458,
        "concept_version_id": 18943,
        "concept_name": "Codelist 1",
        "coding_system": {
          "id": 9,
          "name": "SNOMED  CT codes",
          "description": "SNOMED CT codes"
        },
        "phenotype_id": "PH4410",
        "phenotype_version_id": 9631,
        "phenotype_name": "estimated Glomerular Filtration",
        "code_attribute_header": null,
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          {
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            "attributes": null
          },
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            "attributes": null
          },
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            "description": "Glomerular filtration rate calculated by abbreviated Modification of Diet in Renal Disease Study Group calculation (observable entity)",
            "attributes": null
          },
          {
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            "description": "Estimated glomerular filtration rate by laboratory calculation (observable entity)",
            "attributes": null
          },
          {
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            "description": "Glomerular filtration rate (observable entity)",
            "attributes": null
          },
          {
            "code": "8.57971E+14",
            "description": "Estimated glomerular filtration rate using Chronic Kidney Disease Epidemiology Collaboration formula (observable entity)",
            "attributes": null
          },
          {
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            "description": "Estimated glomerular filtration rate using Chronic Kidney Disease Epidemiology Collaboration formula per 1.73 square metres",
            "attributes": null
          },
          {
            "code": "9.63601E+14",
            "description": "Estimated glomerular filtration rate using cystatin C Chronic Kidney Disease Epidemiology Collaboration equation (observable entity)",
            "attributes": null
          },
          {
            "code": "9.63611E+14",
            "description": "Estimated glomerular filtration rate using cystatin C per 1.73 square metres",
            "attributes": null
          },
          {
            "code": "9.63621E+14",
            "description": "Estimated glomerular filtration rate using creatinine Chronic Kidney Disease Epidemiology Collaboration equation (observable entity)",
            "attributes": null
          },
          {
            "code": "9.63631E+14",
            "description": "Estimated glomerular filtration rate using serum creatinine per 1.73 square metres",
            "attributes": null
          },
          {
            "code": "9.96231E+14",
            "description": "Glomerular filtration rate calculated by abbreviated Modification of Diet in Renal Disease Study Group calculation adjusted for African American origin (observable entity)",
            "attributes": null
          },
          {
            "code": "ConceptId",
            "description": "ConceptId_Description",
            "attributes": null
          }
        ]
      }
    ],
    "status": 1,
    "doi": "https://doi.org/10.48533/y205-gf82",
    "is_deleted": false,
    "publish_status": 2,
    "owner": "Barbara.Doyki",
    "template": {
      "id": 2,
      "name": "BHF Data Science Centre Phenotype",
      "description": "BHF Data Science Centre Phenotype definitions that describe a list of clinical codes, algorithms using clinical codes, or set of clinical trials. Visit the BHF Data Science Centre website to learn more: https://bhfdatasciencecentre.org",
      "version_id": 1
    },
    "versions": [
      {
        "version_id": 9631,
        "version_name": "estimated Glomerular Filtration",
        "version_date": "2026-07-21T17:59:30.616619Z",
        "is_published": true,
        "is_latest": true
      }
    ]
  }
]