Endocrine and metabolic characteristics in polycystic ovary syndrome.
Bibliographic record
Abstract
Hirsutism affects 5-25% women, and the condition is most often caused by polycystic ovary syndrome (PCOS). The initial evaluation of hirsute patients should include a thorough medical history, clinical evaluation, and standardized blood samples to diagnose the 5% hirsute patients with rare endocrine disorders. The majority of these examinations can be performed by the patient's general practitioner. PCOS is a diagnosis of exclusion and is a multiorgan disease affecting most endocrine organs including ovaries, adrenals, pituitary, fat cells, and endocrine pancreas. The manifestations of PCOS are diverse, and up to 50% patients are normal weight. In most cases, however, the severity of symptoms can be related to abdominal obesity. Increased inflammation in PCOS can be measured as decreased adiponectin levels and increased levels of adipokines, chemokines, and interleukins. In the present thesis the use of these inflammatory markers is reviewed, but more data including hard end points are needed to determine which of these markers that should be introduced to the daily clinic. Abdominal obesity and insulin resistance stimulates ovarian and adrenal androgen production, whereas SHBG levels are decreased. Increased testosterone levels may further increase abdominal obesity and inflammation, therefore describing PCOS as a vicious cycle. Abdominal obesity and increased activation of the inflammatory system is seen in both normal weight and obese PCOS patients leading to an increased risk of dyslipidemia, diabetes, and possibly cardiovascular disease. Patients diagnosed with PCOS therefore should be screened for elements in the metabolic syndrome including weight, waist, blood pressure, HbA1c, and lipid status. Our data supported that prolactin and HbA1c levels could be markers of cardiovascular risk and should be confirmed by prospective studies. PCOS is a life-long condition and treatment modalities involve lifestyle modification, insulin sensitizers such as metformin, or inhibition of testosterone levels with OCP. Treatment with pioglitazone supported that increased insulin sensitivity in PCOS is associated with improved inflammatory and cardiovascular risk markers. Our data supported that one year's metformin treatment was associated with a minor but significant weight loss in patients with PCOS irrespective of BMI at study inclusion. Treatment with OCP improved sex-hormone levels, but was associated with minor weight gain. Based on the study results, clinicians should consider the combined treatment with metformin and OCP also in normal weight patients with PCOS. The challenge in the future is to ensure sufficient evaluation and treatment of patients with hirsutism and PCOS and to determine which subgroups of patients should be treated by their general practitioner and which patients should be referred for hospital and/or gynecological evaluation and treatment. Furthermore more data are needed to determine the optimal follow-up program regarding metabolic risk in different subgroups of patients with PCOS.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".