NSU Research Contributions
Title : Factors predictive of Ponseti casting for treating clubfoot: analysis of Bayesian Poisson regression model
Authors : M.J. Khan, B. Ganesan, K.N.K. Fong, J. Yip, M. Forhadul Hoque, S.M. Mahmudul Hasan, S. Zaman, M.D.H. Hawlader, R.K.Y. Tong
| Journal Article Title: European Review for Medical and Pharmacological Sciences (Eur Rev Med Pharmacol Sci) | Volume Number: 26 | Publication Year : 2022 | Issue Number: 6 |
| Index: other (PubMed) | Ranking: No Ranking | ISSN (Print): 1128-3602 | Publisher Name: Verduci Editore s.r.l.Verduci Editore s.r.l.Verduci Editore s.r.l. |
| Pages : 7 | |||
| ISSN (Online): 2284-0729 | |||
| Funding Source : None |
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Direct Sustainable Development Goals : SDG3 Good Health & Well-being |
Indirect Sustainable Development Goals : SDG10 Reduced Inequality |
Sustainable Development Sub Goals : Reduce premature mortality from non-communicable diseases and promote mental health and well-being Achieve universal health coverage Strengthen capacity for health risk management |
| Impact statement: The study utilized a Bayesian Poisson Regression Model to identify key factors that predict the number of casts required to correct congenital clubfoot using the Ponseti method. It found that age is the most influential factor (24.3%), with children ? 1 year old being highly impacted. Additionally, male children were found to potentially require 28% more casts than females. The findings strongly advocate for early-age treatment to optimize success and minimize the risk of relapse in clubfoot patients. | Collaboration: None | Keywords: Clubfoot, Ponseti method, Bayesian Poisson regression, predictive factors, age factor, Bangladesh |
