Estimation of urea, uric acid and creatinine levels in patients of primary hypothyroidism – A cross-sectional study

The study concludes that serum urea showed a positive correlation with TSH, whereas uric acid and creatinine showed a negative correlation with TSH, and there was no statistical significance in the mean values of urea, uric acid and creatinine in hypothyroid patients.

Authors

Institutions

Publication Details

Journal
Journal of Family Medicine and Primary Care
Published
2024-09-01
DOI
https://doi.org/10.4103/jfmpc.jfmpc_403_24
Citations
1
Primary Topic
Thyroid Disorders and Treatments
Type
article
Field-Weighted Citation Impact
0.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimation of urea, uric acid and creatinine levels in patients of primary hypothyroidism – A cross-sectional study

Bhagyashree Gali, Vanishree S Bubanale
1 citations
Journal of Family Medicine and Primary Care
Thyroid Disorders and Treatments
0.36
article

Estimation of urea, uric acid and creatinine levels in patients of primary hypothyroidism – A cross-sectional study

Bhagyashree Gali, Vanishree S Bubanale
article en
1 citations

Abstract

The study concludes that serum urea showed a positive correlation with TSH, whereas uric acid and creatinine showed a negative correlation with TSH, and there was no statistical significance in the mean values of urea, uric acid and creatinine in hypothyroid patients.

Journal of Family Medicine and Primary CareVol. 13(9)
KLE Academy of Higher Education and Research (IN)
Openalex Percentile: Top 34%
Thyroid Disorders and Treatments
0.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.