Acute Effects of Premenopausal Hysterectomy with Bilateral Oophorectomy on Serum Lipids, Hormonal Values, Inflammatory Markers, and Metabolism
Bibliographic record
Abstract
Objectives: The aim of this study was to provide a clinical reference for the acute postoperative changes to lipids and inflammation following premenopausal hysterectomy with bilateral oophorectomy and compare them to normal reference values. Design: The study design was a planned secondary analysis of data from a randomized double-blind trial comparing the effectiveness of two different hormone therapies for preventing post-oophorectomy bone loss and controlling vasomotor symptoms. These data were obtained on hospital discharge before randomization to treatment. Materials andmethods: Premenopausal women scheduled for a hysterectomy with bilateral oophorectomy for benign reasons were identified from preoperative lists and approached, prior to hospital discharge, to participate in this study. Postoperative data were compared with premenopausal reference intervals using Z scores. Results: Thirty-three (33) women (mean age 45 ± 4.8 years) were studied an average of 7 days postsurgery. Hemoglobin, albumin, testosterone, and high-density lipoprotein values were decreased in comparison to the normal mean, having Z scores of −3.0, −2.5, −2.4, and −1.7, respectively. C-reactive protein levels were quite significantly elevated (Z score = 20.3). Conclusions: The high levels of inflammation and abnormal lipids postsurgical menopause are important considerations for physicians when planning subsequent treatment and care. (J GYNECOL SURG 27:9)
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".