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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2005 1
2006 1
2007 1
2013 1
2015 2
2016 1
2017 3
2018 2
2019 3
2020 2
2021 4
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2023 4
2024 0

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Page 1
Prevalence of Iron Deficiency and its Sociodemographic Patterning in Indian Children and Adolescents: Findings from the Comprehensive National Nutrition Survey 2016-18.
Kulkarni B, Peter R, Ghosh S, Pullakhandam R, Thomas T, Reddy GB, Rajkumar H, Kapil U, Deb S, Johnston R, Agrawal PK, De Wagt A, Kurpad AV, Sachdev HS. Kulkarni B, et al. J Nutr. 2021 Aug 7;151(8):2422-2434. doi: 10.1093/jn/nxab145. J Nutr. 2021. PMID: 34049401 Free article.
METHODS: Cross-sectional data from the Comprehensive National Nutrition Survey in children (1-4 y: n = 9635; 5-9 y: n = 11,938) and adolescents (10-19 y; n = 11,507) on serum ferritin (SF) and other biomarkers were analyzed to determine i …
METHODS: Cross-sectional data from the Comprehensive National Nutrition Survey in children (1-4 y: n = 9635; 5-9 y: …
Prevalence of low serum zinc concentrations in Indian children and adolescents: findings from the Comprehensive National Nutrition Survey 2016-18.
Pullakhandam R, Agrawal PK, Peter R, Ghosh S, Reddy GB, Kulkarni B, Thomas T, Kurpad AV, Sachdev HS, Porwal A, Khan N, Ramesh S, Acharya R, Sarna A, Kapil U, Rajkumar H, De Wagt A, Deb S, Johnston R. Pullakhandam R, et al. Am J Clin Nutr. 2021 Aug 2;114(2):638-648. doi: 10.1093/ajcn/nqab066. Am J Clin Nutr. 2021. PMID: 33831945 Free article.
METHODS: Prevalence of low SZC, adjusted for C-reactive protein, was estimated among preschool (1-4 y; n = 7874) and school-age children (5-9 y; n = 10,430) and adolescents (10-19 y; n = 10,140), using SZC cutoffs defined by the Internati …
METHODS: Prevalence of low SZC, adjusted for C-reactive protein, was estimated among preschool (1-4 y; n = 7874) and school-ag …
Identification of Predictable Biomarkers in Conjunction to Framingham Risk Score to Predict the Risk for Cardiovascular disease (CVD) in Non Cardiac Subjects.
Reddy RK, Mahendra J, Gurumurthy P, Jayamathi, Babu S. Reddy RK, et al. J Clin Diagn Res. 2015 Feb;9(2):BC23-7. doi: 10.7860/JCDR/2015/9089.5589. Epub 2015 Feb 1. J Clin Diagn Res. 2015. PMID: 25859447 Free PMC article.
These subjects were divided into four different groups: Group I - controls with age range: 30-60 y (n=50) these subjects were free from all the systemic ailments and risk factors. ...
These subjects were divided into four different groups: Group I - controls with age range: 30-60 y (n=50) these subjects were …
24 results