Demographic study of endocrine tumours in northwestern India: a five-year retrospective chart review analysis of 3081 thyroid and other endocrine lesions from Jaipur, Rajasthan

Endocrine tumours are commonly encountered in clinical practice. The demographic data in a specific part of the country can be harnessed only from a tertiary care referral center. We aimed to analyze the epidemiological pattern of various histopathological subtypes of four major endocrine glands in the body in Northwestern India. In this retrospective chart review analysis, we reviewed three lakh records of histopathologically proven tumours coming to four major pathology departments and laboratories in Jaipur, Rajasthan over five years; of which 3081 were from patients with endocrine tumours. We included these endocrine tumours in our study and the results were obtained. The collected data were analyzed and results were obtained using Microsoft Excel 2019 Version 2107. Thyroid tumours were the most common tumours (96.8%) with adrenal, parathyroid and pituitary in order. Percentage of malignant cases among the thyroid disorders was 20.55%. Multinodular goitre (50.3%) and papillary carcinoma thyroid (77.67%) topped the benign and malignant thyroid tumours respectively. Females in 21 to 40 years age group were most affected in thyroid tumours. Pheochromocytoma was the most common adrenal tumour (60%) most commonly affecting females in the age group pf 21 to 40 years of age. Parathyroid adenoma constituted the majorchunk of parathyroid tumours (86.9%) with no sex predilection and affecting patients mostly in the age group of 31 to 45 years. Pituitary adenoma was found in 34 of 35 cases with a female preponderance and a wide range of affected age groups (21 to 50 years). Different histopathological subtypes of endocrine gland tumours have a varied epidemiological profile in NorthwesternIndia and incorporation of this knowledge will help improve the clinical acumen of the treating personnel in this part of the country

Development of Prediction Equations for 300 Days Milk Yield from Part Yields, Cumulative part and Sequential monthly Records in Sahiwal Cows

ABSTRACT The present study was planned to develop the prediction equations for 300 days milk yield on the basis of part, cumulative part and sequential monthly records of Sahiwal cows. Among the monthly part yields the 3 rd , 5 th and 7 th months were best for 300 days prediction for first lactation records, while 6 th , 7 th and 4 th months were best for second lactation records. For third lactation records 2 nd , 6 th and 5 th months were best months for prediction. On cumulative monthly basis, first-3, first-4 and first-5 months were best for 300 days prediction for first, second and third lactation records