Relational Analysis Of Anthopometric Measurements, Biochemical Parameters, Clinical Profile And Hormonal Levels Of Obese Versus Non Obese Women With Pcos In Kashmir Valley.
Bibliographic record
Abstract
BACK GROUND:- During the past decade, our understanding of pathophysiology of PCOS ( Polycystic Ovarian Syndrome) has undergone a remarkable Evolution. Despite our familiarity with this disease, Polycystic ovarian Syndrome ( PCOS) Is considered as Multisystem Endocrinopathy. Some of it’s fundamental characteristics remain poorly recognized and understood. The present Study focuses on relational and Comprehensive analysis of the Anthropometric Measurements, Biochemical Parameters, Clinical Profile and Hormonal Levels of Obese versus Non obese women with PCOS ( Polycystic ovarian syndrome) in Kashmir valley. Obesity was found to be one of the important factors that contribute to the development of long term risk of PCOS. In addition, increased obesity and abdominal adiposity further aggravate the clinical, hormonal and metabolic parameters in PCOS and if treated, can reverse most of these abnormalities to a clinically significant degree. Our study suggeststhat anthropometric parameters ( Especially BMI and WHR) are significantly correlated with lipid profile in PCOS patients confirming the importance of early treatment of obesity to prevent further complications in the future. We wanted to study anthropometric measurements, the hormonal status and biochemical parameters in females diagnosed with PCOS. Study the correlation between them and compare them with controls. The present study on 146 patients including both obese and non obese PCOS cases and 70 controls revealed that Ferriman Gallway(FG) score of the obese PCOS was more as compared to non obese and normal controls. Hirusitism, acanthosisnigricans and alopecia was seen significantly raised in PCOS women in comparison to non obese PCOS and controls, giving an indication of risk of hypertension in obese women. Fasting blood glucose level and one hour (1hour) glucose level was almost same for all three groups but two hour ( 2 hour) blood glucose levels were raised in obese cases in comparison to the non obese PCOS and controls Hormonal analysis of our subjects revealed that lutenizing hormone ( LH) and ( FSH) value, values of obese PCOS , non obese PCOS and controls were almost same but testosterone levels was raised in PCOS cases but much raised in obese PCOS cases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".