Quantifying the impact of clinical coding in chronic kidney disease on risk of death and COVID-19 death.
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| Title: | Quantifying the impact of clinical coding in chronic kidney disease on risk of death and COVID-19 death. |
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| Authors: | Stewart S; Donal O'Donoghue Renal Research Centre, Research & Innovation, Northern Care Alliance NHS Foundation Trust, Salford, England, United Kingdom.; Centre for Primary Care & Health Services Research, University of Manchester, Manchester, England, United Kingdom.; Division of Cardiovascular Sciences, University of Manchester, Manchester, England, United Kingdom., Kalra PA; Donal O'Donoghue Renal Research Centre, Research & Innovation, Northern Care Alliance NHS Foundation Trust, Salford, England, United Kingdom.; Division of Cardiovascular Sciences, University of Manchester, Manchester, England, United Kingdom., Kontopantelis E; Centre for Primary Care & Health Services Research, University of Manchester, Manchester, England, United Kingdom., Blakeman T; Centre for Primary Care & Health Services Research, University of Manchester, Manchester, England, United Kingdom.; National Institute for Health and Care Research (NIHR) Greater Manchester Patient Safety Research Collaboration (GM PSRC), Manchester, England, United Kingdom., Tilston G; National Institute for Health and Care Research (NIHR) Manchester Biomedical Research Centre, University of Manchester, England, United Kingdom., Sinha S; Donal O'Donoghue Renal Research Centre, Research & Innovation, Northern Care Alliance NHS Foundation Trust, Salford, England, United Kingdom.; Division of Cardiovascular Sciences, University of Manchester, Manchester, England, United Kingdom. |
| Source: | PloS one [PLoS One] 2025 Oct 24; Vol. 20 (10), pp. e0333881. Date of Electronic Publication: 2025 Oct 24 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0333881 |
