Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Validation of prevalent diabetes risk scores based on non-invasively measured predictors in Ghanaian migrant and non-migrant populations – The RODAM study
This article is published by Elsevier and is also available at www.sciencedirect.com/journal/public-health-in-practice
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
ELSEVIER
2023
|
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1869483595095080960 |
|---|---|
| access_status_str | Open Access |
| author | Osei-Yeboah James Kengne Andre-Pascal Schulze B. Matthias Owusu-Dabo Ellis Bahendeka Silver Agyemang Charles....et al |
| author_browse | Agyemang Charles....et al Bahendeka Silver Kengne Andre-Pascal Osei-Yeboah James Owusu-Dabo Ellis Schulze B. Matthias |
| author_facet | Osei-Yeboah James Kengne Andre-Pascal Schulze B. Matthias Owusu-Dabo Ellis Bahendeka Silver Agyemang Charles....et al |
| author_sort | Osei-Yeboah James |
| collection | Thesis |
| description | This article is published by Elsevier and is also available at www.sciencedirect.com/journal/public-health-in-practice |
| format | Article |
| id | oai:ir.knust.edu.gh:123456789/14634 |
| institution | KNUST (Ghana) |
| language | English |
| last_indexed | 2026-07-01T04:01:29.583Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana) |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | ELSEVIER |
| publisherStr | ELSEVIER |
| record_format | dspace |
| source_str | KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana) |
| spelling | oai:ir.knust.edu.gh:123456789/14634 Validation of prevalent diabetes risk scores based on non-invasively measured predictors in Ghanaian migrant and non-migrant populations – The RODAM study Osei-Yeboah James Kengne Andre-Pascal Schulze B. Matthias Owusu-Dabo Ellis Bahendeka Silver Agyemang Charles....et al This article is published by Elsevier and is also available at www.sciencedirect.com/journal/public-health-in-practice Background: Non-invasive diabetes risk models are a cost-effective tool in large-scale population screening to identify those who need confirmation tests, especially in resource-limited settings. Aims: This study aimed to evaluate the ability of six non-invasive risk models (Cambridge, FINDRISC, Kuwaiti, Omani, Rotterdam, and SUNSET model) to identify screen-detected diabetes (defined by HbA1c) among Gha naian migrants and non-migrants. Study design: A multicentered cross-sectional study. Methods: This analysis included 4843 Ghanaian migrants and non-migrants from the Research on Obesity and Diabetes among African Migrants (RODAM) Study. Model performance was assessed using the area under the receiver operating characteristic curves (AUC), Hosmer-Lemeshow statistics, and calibration plots. Results: All six models had acceptable discrimination (0.70 ≤ AUC <0.80) for screen-detected diabetes in the overall/combined population. Model performance did not significantly differ except for the Cambridge model, which outperformed Rotterdam and Omani models. Calibration was poor, with a consistent trend toward risk overestimation for screen-detected diabetes, but this was substantially attenuated by recalibration through adjustment of the original model intercept. Conclusion: Though acceptable discrimination was observed, the original models were poorly calibrated among populations of African ancestry. Recalibration of these models among populations of African ancestry is needed before use. KNUST 2023-12-06T09:38:28Z 2023-12-06T09:38:28Z 2023 Article Public Health in Practice 6 (2023) 100453 10.1016/j.puhip.2023.100453 https://ir.knust.edu.gh/handle/123456789/14634 en application/pdf ELSEVIER |
| spellingShingle | Osei-Yeboah James Kengne Andre-Pascal Schulze B. Matthias Owusu-Dabo Ellis Bahendeka Silver Agyemang Charles....et al Validation of prevalent diabetes risk scores based on non-invasively measured predictors in Ghanaian migrant and non-migrant populations – The RODAM study |
| title | Validation of prevalent diabetes risk scores based on non-invasively measured predictors in Ghanaian migrant and non-migrant populations – The RODAM study |
| title_full | Validation of prevalent diabetes risk scores based on non-invasively measured predictors in Ghanaian migrant and non-migrant populations – The RODAM study |
| title_fullStr | Validation of prevalent diabetes risk scores based on non-invasively measured predictors in Ghanaian migrant and non-migrant populations – The RODAM study |
| title_full_unstemmed | Validation of prevalent diabetes risk scores based on non-invasively measured predictors in Ghanaian migrant and non-migrant populations – The RODAM study |
| title_short | Validation of prevalent diabetes risk scores based on non-invasively measured predictors in Ghanaian migrant and non-migrant populations – The RODAM study |
| title_sort | validation of prevalent diabetes risk scores based on non invasively measured predictors in ghanaian migrant and non migrant populations the rodam study |
| url | https://ir.knust.edu.gh/handle/123456789/14634 |
| work_keys_str_mv | AT oseiyeboahjames validationofprevalentdiabetesriskscoresbasedonnoninvasivelymeasuredpredictorsinghanaianmigrantandnonmigrantpopulationstherodamstudy AT kengneandrepascal validationofprevalentdiabetesriskscoresbasedonnoninvasivelymeasuredpredictorsinghanaianmigrantandnonmigrantpopulationstherodamstudy AT schulzebmatthias validationofprevalentdiabetesriskscoresbasedonnoninvasivelymeasuredpredictorsinghanaianmigrantandnonmigrantpopulationstherodamstudy AT owusudaboellis validationofprevalentdiabetesriskscoresbasedonnoninvasivelymeasuredpredictorsinghanaianmigrantandnonmigrantpopulationstherodamstudy AT bahendekasilver validationofprevalentdiabetesriskscoresbasedonnoninvasivelymeasuredpredictorsinghanaianmigrantandnonmigrantpopulationstherodamstudy AT agyemangcharlesetal validationofprevalentdiabetesriskscoresbasedonnoninvasivelymeasuredpredictorsinghanaianmigrantandnonmigrantpopulationstherodamstudy |