Beenish Fatima Alam, Muhammad Arqam Najmi, Talib Hussain, Bilal Zaman Babar, Salwan Ghani, Amna Khan, Talha Nayab
Perception of dental students and faculty regarding the practice of professionalism in dentistry using the Professionalism Mini Evaluation Exercise (P-MEX)
Work (Reading, Mass.)
objective due inconsistent results earlier investigations regarding relationship vitamin prostatespecific antigen psa study conducted gain deeper understanding association vitamin psa methods total 7174 male samples 25ohd psa variables obtained national health nutrition examination survey nhanes database three models created stepwise logistic regression employed examine doseresponse association psa 25ohd subsequently restricted cubic spline analysis rcs used explore nonlinear association 25ohd psa study also compared performance four machine learning models predicting psa levels results doseresponse relationship indicated negative impact high 25ohd levels psa p trend 005 odds ratio q4 773 95 ci 026 1576 significantly higher q1 623 95 ci 024 1257 values q2 q3 less 1 q2 057 95 ci 637 804 q3 026 95 ci 594 686 suggesting potential protective effect 25ohd psa rcs analysis revealed ushaped relationship blood 25ohd levels psa serum 25ohd range 20134 ngml showing potential decrease psa levels range increase 25ohd might elevate psa levels age 267 95 ci 224 31 bmi 1752 95 ci 765 2632 along obesity 1036 95 ci 068 2018 identified potential psa risk factors among machine learning models random forest algorithm performed best predicting psa levels conclusion study revealed ushaped relationship 25ohd psa psa potentially declining 25ohd 20 134 ngml possibly rising range random forest method proved effective predicting psa levels guiding vitamin dosage