Comparison of laboratory‐based and non‐laboratory‐based cardiovascular risk prediction tools in rural India
Non-laboratory-based Framingham, WHO-RS and Globorisk tools performed relatively well compared with their laboratory-based counterparts in rural India. However, they may be less useful for risk stratification when applied to individuals with diabetes.
Authors
- Nihal Thomas (ORCID: https://orcid.org/0000-0002-4614-9519)
- Roger G. Evans (ORCID: https://orcid.org/0000-0002-9241-0757)
- Oduru Suresh (ORCID: https://orcid.org/0000-0003-1262-004X)
- Amanda Gay Thrift (ORCID: https://orcid.org/0000-0001-8533-4170)
- Muideen Tunbosun Olaiya (ORCID: https://orcid.org/0000-0002-4070-0533)
- Joosup Kim (ORCID: https://orcid.org/0000-0002-4079-0428)
- Mulugeta Molla Birhanu (ORCID: https://orcid.org/0000-0003-0364-279X)
- Michaela A. Riddell (ORCID: https://orcid.org/0000-0001-8852-0569)
- Ayse Zengin (ORCID: https://orcid.org/0000-0001-6428-6165)
- Velandai Srikanth (ORCID: https://orcid.org/0000-0002-8442-8981)
- Kamakshi Kartik (ORCID: https://orcid.org/0000-0003-1896-6818)
- Kartik Kalyanram (ORCID: https://orcid.org/0000-0002-6837-0062)
Institutions
- The University of Melbourne (AU)
- Christian Medical College, Vellore (IN)
- Florey Institute of Neuroscience and Mental Health (AU)
- Australian Regenerative Medicine Institute (AU)
- Monash Health (AU)
- Monash University (AU)
Publication Details
- Journal
- Tropical Medicine & International Health
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1111/tmi.14069
- Citations
- 2
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 0.72
Funders
- Monash University