Epidemiologic Method Review at Scale: Assessing Charlson Comorbidity Versioning Using a Large Language Model Article Swipe
J. Fuchs
,
Craig R. Johnson
,
Nathan R. Foster
,
Peter Leese
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1101/2025.09.23.25336010
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1101/2025.09.23.25336010
The Charlson Comorbidity Index (CCI) is widely used in epidemiologic studies. However, many versions of the CCI have been developed since the original method was published in 1987, and it is unclear which version is used most frequently and how version utilization in research has changed over time. We present an approach using a large language model to extract data from articles by detecting which specific CCI version is employed. We analyzed 31,767 articles published since 2012 to evaluate the landscape of CCI implementation. We show that 63% of articles that cite a single method version cite only the original CCI publication, which cannot be applied in the modern real-world data era, leading to ambiguity in actual CCI implementation. More generally, this paper introduces a generalizable approach to scaling methods literature review beyond typical human-review, which we validate and demonstrate through application to the CCI.
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- preprint
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- en
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- https://doi.org/10.1101/2025.09.23.25336010
- https://www.medrxiv.org/content/medrxiv/early/2025/09/25/2025.09.23.25336010.full.pdf
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- References
- 35
- OpenAlex ID
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https://doi.org/10.1101/2025.09.23.25336010Digital Object Identifier
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Epidemiologic Method Review at Scale: Assessing Charlson Comorbidity Versioning Using a Large Language ModelWork title
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preprintOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-09-25Full publication date if available
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J. Fuchs, Craig R. Johnson, Nathan R. Foster, Peter LeeseList of authors in order
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https://doi.org/10.1101/2025.09.23.25336010Publisher landing page
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https://www.medrxiv.org/content/medrxiv/early/2025/09/25/2025.09.23.25336010.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.medrxiv.org/content/medrxiv/early/2025/09/25/2025.09.23.25336010.full.pdfDirect OA link when available
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0Total citation count in OpenAlex
- References (count)
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35Number of works referenced by this work
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